Google Cloud metrics

Cloud Monitoring supports the metric types from Google Cloud services listed in this document.

  • For a general explanation of the entries in the tables, including information about values like DELTA and GAUGE, see Metric types.

    To chart or monitor metric types with values of type STRING, you must use Monitoring Query Language (MQL), and you must convert the value into a numeric value. For information about MQL string-conversion methods, see String.

  • For information about the units used in the metric lists, see the unit field in the MetricDescriptor reference.
  • For information about statements of the form “Sampled every x seconds” and “After sampling, data is not visible for up to y seconds”, see Additional information: metadata.
  • The resource-hierarchy level tells you if the metric is written at the project, organization, or folder level(s). When the level is not specified in the metric descriptor, the metric writes at the project level by default.
  • For information about the meaning of launch stages such as GA (General Availability) and BETA (Preview), see Product launch stages.

Google Cloud metrics

Metrics from Google Cloud.

The following list was last generated at 2024-10-24 18:54:10 UTC. For more information about this process, see About the lists.

actions

Metrics from Google Assistant Smart Home. Launch stages of these metrics: ALPHA BETA

The "metric type" strings in this table must be prefixed with actions.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
smarthome_action/camerastream/first_frame_latencies BETA(project)
First frame latency
DELTADISTRIBUTIONmilliseconds
assistant_action_project
Latency for first frame to arrive. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, one of [CAMERA, DOORBELL]
stream_status: The canonical code that represents the result, for example, "COMPLETED" or "FAILED".
stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls".
is_battery_powered: (BOOL) Whether the device is battery powered or not.
smarthome_action/camerastream/frame_display_rates BETA(project)
Frame display rate
DELTADISTRIBUTIONframes/seconds
assistant_action_project
Rate at which camerastream frames are displayed. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, one of [CAMERA, DOORBELL]
stream_status: The canonical code that represents the result, for example, "COMPLETED" or "FAILED".
stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls".
is_battery_powered: (BOOL) Whether the device is battery powered or not.
smarthome_action/camerastream/frame_drop_rates BETA(project)
Frame drop rate
DELTADISTRIBUTIONframes/seconds
assistant_action_project
Rate at which camerastream frames are dropped. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, one of [CAMERA, DOORBELL]
stream_status: The canonical code that represents the result, for example, "COMPLETED" or "FAILED".
stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls".
is_battery_powered: (BOOL) Whether the device is battery powered or not.
smarthome_action/camerastream/frame_skip_rates BETA(project)
Frame skip rate
DELTADISTRIBUTIONframes/seconds
assistant_action_project
Rate at which camerastream frames are skipped. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, one of [CAMERA, DOORBELL]
stream_status: The canonical code that represents the result, for example, "COMPLETED" or "FAILED".
stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls".
is_battery_powered: (BOOL) Whether the device is battery powered or not.
smarthome_action/camerastream/request_count BETA(project)
Camerastream request count
DELTAINT641
assistant_action_project
Number of camerastream requests since the last sample period. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, one of [CAMERA, DOORBELL]
status: The canonical code that represents the result, for example, "SUCCESS" or "OFFLINE".
stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls".
is_battery_powered: (BOOL) Whether the device is battery powered or not.
smarthome_action/camerastream/request_latencies BETA(project)
Camerastream request latency
DELTADISTRIBUTIONms
assistant_action_project
Latency for camerastream to start. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, one of [CAMERA, DOORBELL]
status: The canonical code that represents the result, for example, "SUCCESS" or "OFFLINE".
stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls".
is_battery_powered: (BOOL) Whether the device is battery powered or not.
smarthome_action/camerastream/signaling_latencies BETA(project)
Signaling latency
DELTADISTRIBUTIONmilliseconds
assistant_action_project
Camerastream signaling latency. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, one of [CAMERA, DOORBELL]
stream_status: The canonical code that represents the result, for example, "COMPLETED" or "FAILED".
stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls".
is_battery_powered: (BOOL) Whether the device is battery powered or not.
smarthome_action/camerastream/stream_durations BETA(project)
Stream duration
DELTADISTRIBUTIONmilliseconds
assistant_action_project
Duration of a camerastream. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, one of [CAMERA, DOORBELL]
stream_status: The canonical code that represents the result, for example, "COMPLETED" or "FAILED".
stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls".
is_battery_powered: (BOOL) Whether the device is battery powered or not.
smarthome_action/camerastream/webrtc_request_count BETA(project)
Webrtc request count
DELTAINT641
assistant_action_project
Number of camerastream requests since the last sample period. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, one of [CAMERA, DOORBELL]
stream_status: The canonical code that represents the result, for example, "COMPLETED" or "FAILED".
stream_protocol: Underlying protocol used for camerastream, for example, "webrtc" or "hls".
is_battery_powered: (BOOL) Whether the device is battery powered or not.
smarthome_action/device_count ALPHA(project)
Device count
GAUGEINT641
assistant_action_project
Counts the device_count based on device_type, software_version, hardware_version, integration_type and is_online. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, for example, "LIGHT", "LOCK" or "CAMERA".
software_version: The software version of the device, for example, "1.00.062", "1.00.64", "1.00.68", "1.1.1".
hardware_version: The hardware version of the device, for example, "1", "1.0", "1.0.0", "1.0.7".
integration_type: Integration type, one of [local, cloud, matter].
is_online: (BOOL) Whether the device is online or not.
smarthome_action/execution_success_confidence BETA(project)
Execution success confidence
GAUGEDOUBLE1
assistant_action_project
Confidence metric (normalized) for current execution success rate compared with past performance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
smarthome_action/local_event_count BETA(project)
Local event count
DELTAINT641
assistant_action_project
Count of events that only happens in LocalHomePlatform. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
intent: Intent used in SmartHome integration, for example, "EXECUTE", "QUERY", "SYNC".
status: The canonical code that represents the result, for example, "SUCCESS" or "OFFLINE".
app_version: The version of the Local Home SDK app, for example, "0.0.1" or "0.1.2".
model: Model is equivalent to product ID.
smarthome_action/matter_setup_event_count BETA(project)
Matter setup event count
DELTAINT641
assistant_action_project
Counts of Setup Events for Matter Launch. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
setup_status: The setup status has detailed information about state of setup (commisssioning complete, etc.)
setup_state: The setup state is either Success or Failure.
smarthome_action/num_active_users BETA(project)
Daily active users
GAUGEINT641
assistant_action_project
Daily active users count. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, for example, "LIGHT" or "LOCK".
locale: locale, for example, "en-US" or "fr-CA".
trait: Assistant Smarthome trait, for example, "onOff" or "lockUnlock".
integration_type: Integration type, one of [local, cloud, matter].
smarthome_action/report_state_accuracy BETA(project)
Report state accuracy
GAUGEDOUBLE10^2.%
assistant_action_project
The accuracy of the states reported by the partner to HomeGraph compared to the states retrieved by sending a QUERY to the partner. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, for example, "LIGHT" or "LOCK".
trait: Assistant Smarthome trait, for example, "onOff" or "lockUnlock".
result: The canonical code that represents the result, for example, "ACCURATE", "ACCURATE_BUT_LATE", "INACCURATE".
smarthome_action/request_count BETA(project)
Request count
DELTAINT641
assistant_action_project
Request count. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, for example, "LIGHT" or "LOCK".
status: The canonical code that represents the result, for example, "SUCCESS" or "OFFLINE".
trait: Assistant Smarthome trait, for example, "onOff" or "lockUnlock".
integration_type: Integration type, one of [local, cloud, matter].
is_local: (BOOL) Whether the request routed locally or through cloud endpoint.
execution_type: Execution type, one of [execute, query].
smarthome_action/request_latencies BETA(project)
Request latencies
DELTADISTRIBUTIONms
assistant_action_project
Distribution of request latencies. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, for example, "LIGHT" or "LOCK".
status: The canonical code that represents the result, for example, "SUCCESS" or "OFFLINE".
trait: Assistant Smarthome trait, for example, "onOff" or "lockUnlock".
is_local: (BOOL) Whether the request routed locally or through cloud endpoint.
execution_type: Execution type, one of [execute, query].
integration_type: Integration type, one of [local, cloud, matter].
smarthome_action/seven_day_active_users BETA(project)
7 day active users
GAUGEINT641
assistant_action_project
7 day active users count. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, for example, "LIGHT" or "LOCK".
locale: locale, for example, "en-US" or "fr-CA".
trait: Assistant Smarthome trait, for example, "onOff" or "lockUnlock".
integration_type: Integration type, one of [local, cloud, matter].
smarthome_action/twenty_eight_day_active_users BETA(project)
28 day active users
GAUGEINT641
assistant_action_project
28 day active users count. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
device_type: Device type, for example, "LIGHT" or "LOCK".
locale: locale, for example, "en-US" or "fr-CA".
trait: Assistant Smarthome trait, for example, "onOff" or "lockUnlock".
integration_type: Integration type, one of [local, cloud, matter].

aiplatform

Metrics from Vertex AI. Launch stages of these metrics: ALPHA BETA

The "metric type" strings in this table must be prefixed with aiplatform.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
executing_vertexai_pipeline_jobs BETA(project)
Executing PipelineJobs
GAUGEINT641
aiplatform.googleapis.com/Location
Number of pipeline jobs being executed.
executing_vertexai_pipeline_tasks BETA(project)
Executing PipelineTasks
GAUGEINT641
aiplatform.googleapis.com/Location
Number of pipeline tasks being executed.
featureonlinestore/online_serving/request_count BETA(project)
Request count
DELTAINT641
aiplatform.googleapis.com/FeatureOnlineStore
Number of requests received.
method: Online serving method [FetchFeatureValues, SearchNearestEntities].
feature_view_id: The ID of FeatureView.
error_code: Error code.
storage_type: FeatureOnlineStore storage type, one of [bigtable, optimized].
featureonlinestore/online_serving/serving_bytes_count BETA(project)
Response bytes count
DELTAINT64By
aiplatform.googleapis.com/FeatureOnlineStore
Serving response bytes count.
method: Online serving method [FetchFeatureValues, SearchNearestEntities].
feature_view_id: The ID of FeatureView.
storage_type: FeatureOnlineStore storage type, one of [bigtable, optimized].
featureonlinestore/online_serving/serving_latencies BETA(project)
Request latency
DELTADISTRIBUTIONms
aiplatform.googleapis.com/FeatureOnlineStore
Server side request latency.
method: Online serving method [FetchFeatureValues, SearchNearestEntities].
feature_view_id: The ID of FeatureView.
storage_type: FeatureOnlineStore storage type, one of [bigtable, optimized].
featureonlinestore/running_sync BETA(project)
Running sycs
GAUGEINT641
aiplatform.googleapis.com/FeatureOnlineStore
Number of running syncs at given point of time.
feature_view_id: FeatureView ID of running sync.
storage_type: FeatureOnlineStore storage type, one of [bigtable, optimized].
sync_type: Type of running sync [Full, On-demand].
featureonlinestore/serving_data_ages BETA(project)
Serving data ages
DELTADISTRIBUTIONs
aiplatform.googleapis.com/FeatureOnlineStore
Measure of the serving data age in seconds. Current time minus synced time.
feature_view_id: FeatureView being requested.
method: Online serving method [FetchFeatureValues].
storage_type: FeatureOnlineStore storage type, one of [bigtable, optimized].
featureonlinestore/serving_data_by_sync_time BETA(project)
Serving data by synced time
GAUGEINT641
aiplatform.googleapis.com/FeatureOnlineStore
Breakdown of data in Feature Online Store by synced timestamp. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
sync_time: Timestamp of sync time.
featureonlinestore/storage/bigtable_cpu_load BETA(project)
CPU load
GAUGEDOUBLE10^2.%
aiplatform.googleapis.com/FeatureOnlineStore
The average CPU load of nodes in the Feature Online Store. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
feature_view_id: FeatureView ID.
operation_type: Operation to Cloud Bigtable, one of [read, write].
featureonlinestore/storage/bigtable_cpu_load_hottest_node BETA(project)
CPU load (hottest node)
GAUGEDOUBLE10^2.%
aiplatform.googleapis.com/FeatureOnlineStore
The CPU load of the hottest node in the Feature Online Store. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
feature_view_id: FeatureView ID.
featureonlinestore/storage/bigtable_nodes BETA(project)
Node count
GAUGEINT641
aiplatform.googleapis.com/FeatureOnlineStore
The number of nodes for the Feature Online Store(Bigtable). Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
featureonlinestore/storage/multi_region_bigtable_cpu_load BETA(project)
CPU load (multi-regional)
GAUGEDOUBLE10^2.%
aiplatform.googleapis.com/FeatureOnlineStore
The average CPU load of nodes in the Feature Online Store with multi-regional replicas. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
cluster_type: Type of the underlying Bigtable cluster, one of [primary, replica].
featureonlinestore/storage/multi_region_bigtable_nodes BETA(project)
Node count (multi-regional)
GAUGEINT641
aiplatform.googleapis.com/FeatureOnlineStore
The number of nodes for the Feature Online Store(Bigtable) with multi-regional replicas. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
cluster_type: Type of the underlying Bigtable cluster, one of [primary, replica].
featureonlinestore/storage/optimized_nodes BETA(project)
Optimized node count
GAUGEINT641
aiplatform.googleapis.com/FeatureOnlineStore
The number of nodes for the Feature Online Store(Optimized). Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
feature_view_id: FeatureView ID.
featureonlinestore/storage/stored_bytes BETA(project)
Bytes stored
GAUGEINT64By
aiplatform.googleapis.com/FeatureOnlineStore
Bytes stored in the Feature Online Store. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
featurestore/cpu_load BETA(project)
CPU load
GAUGEDOUBLE10^2.%
aiplatform.googleapis.com/Featurestore
The average CPU load for a node in the Featurestore online storage. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
featurestore/cpu_load_hottest_node BETA(project)
CPU load (hottest node)
GAUGEDOUBLE10^2.%
aiplatform.googleapis.com/Featurestore
The CPU load for the hottest node in the Featurestore online storage. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
featurestore/node_count BETA(project)
Node count
GAUGEINT641
aiplatform.googleapis.com/Featurestore
The number of nodes for the Featurestore online storage. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
featurestore/online_entities_updated BETA(project)
Entities updated on the Featurestore online storage.
DELTAINT64By
aiplatform.googleapis.com/Featurestore
Number of entities updated on the Featurestore online storage.
type: The type of update: 'WRITE', 'DELETE'.
featurestore/online_serving/latencies BETA(project)
Latencies
DELTADISTRIBUTIONms
aiplatform.googleapis.com/Featurestore
Online serving latencies by EntityType.
entity_type_id: EntityType being requested.
method: Online serving method, one of [ReadFeatureValues, StreamingReadFeatureValues].
featurestore/online_serving/request_bytes_count BETA(project)
Request size
DELTAINT64By
aiplatform.googleapis.com/Featurestore
Request size by EntityType.
entity_type_id: EntityType being requested.
method: Streaming write method, one of [ReadFeatureValues, StreamingReadFeatureValues, WriteFeatureValues].
featurestore/online_serving/request_count BETA(project)
Serving count
DELTAINT641
aiplatform.googleapis.com/Featurestore
Featurestore online serving count by EntityType.
entity_type_id: EntityType being requested.
method: Online serving method, one of [ReadFeatureValues, StreamingReadFeatureValues].
error_code: Error code.
featurestore/online_serving/response_size BETA(project)
Response size
DELTAINT64By
aiplatform.googleapis.com/Featurestore
Response size by EntityType.
entity_type_id: EntityType being requested.
method: Online serving method, one of [ReadFeatureValues, StreamingReadFeatureValues].
featurestore/storage/billable_processed_bytes BETA(project)
Billable bytes
GAUGEINT64By
aiplatform.googleapis.com/Featurestore
Number of bytes billed for offline data processed. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
method: Batch read method, one of [BatchReadFeatureValues, ExportFeatureValues].
featurestore/storage/stored_bytes BETA(project)
Bytes stored
GAUGEINT64By
aiplatform.googleapis.com/Featurestore
Bytes stored in Featurestore. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
storage_type: Storage type of Feature Store, one of [ONLINE, BATCH].
featurestore/streaming_write/offline_processed_count BETA(project)
Offline storage write for streaming write
DELTAINT641
aiplatform.googleapis.com/Featurestore
Number of streaming write requests processed for offline storage.
entity_type_id: EntityType being requested.
method: Streaming write method, one of [WriteFeatureValues].
error_code: Error code.
featurestore/streaming_write/offline_write_delays BETA(project)
Streaming write to offline storage delay time
DELTADISTRIBUTIONs
aiplatform.googleapis.com/Featurestore
Time (in second) since the write API is called until it is written to offline storage.
entity_type_id: EntityType being requested.
method: Streaming write method, one of [WriteFeatureValues].
generate_content_input_tokens_per_minute_per_base_model BETA(project)
Generate content input tokens per minute per base model
DELTAINT641
aiplatform.googleapis.com/Location
Generate content input tokens per minute per project per base model.
base_model: The base model custom dimension.
generate_content_requests_per_minute_per_project_per_base_model ALPHA(project)
Generate content requests per minute per project per base model
DELTAINT641
aiplatform.googleapis.com/Location
Generate content requests per minute per project per base model.
base_model: The base model custom dimension.
matching_engine/cpu/request_utilization ALPHA(project)
CPU request utilization
GAUGEDOUBLE10^2.%
aiplatform.googleapis.com/IndexEndpoint
The fraction of the requested CPU that is currently in use on a match server container.
deployed_index_id: The ID of the target DeployedIndex.
node_id: The ID of the target node: _.
matching_engine/current_replicas BETA(project)
Current replicas
GAUGEINT641
aiplatform.googleapis.com/IndexEndpoint
Number of active replicas used by the DeployedIndex.
deployed_index_id: The ID of the target DeployedIndex.
matching_engine/current_shards BETA(project)
Current shards
GAUGEINT641
aiplatform.googleapis.com/IndexEndpoint
Number of shards of the DeployedIndex.
deployed_index_id: The ID of the target DeployedIndex.
matching_engine/memory/used_bytes ALPHA(project)
Memory usage
GAUGEINT64By
aiplatform.googleapis.com/IndexEndpoint
The memory used in bytes for a match server container.
deployed_index_id: The ID of the target DeployedIndex.
node_id: The ID of the target node: _.
matching_engine/query/latencies BETA(project)
Request latency
DELTADISTRIBUTIONms
aiplatform.googleapis.com/IndexEndpoint
Server side request latency.
deployed_index_id: The ID of the target DeployedIndex.
method: Query method.
response_code: Response code for the query.
matching_engine/query/request_count BETA(project)
Request count
DELTAINT641
aiplatform.googleapis.com/IndexEndpoint
Number of requests received.
deployed_index_id: The ID of the target DeployedIndex.
method: Query method.
response_code: Response code for the query.
is_private_endpoint: True for private endpoint, set to false for public endpoint.
matching_engine/stream_update/datapoint_count BETA(project)
Datapoint count
DELTAINT641
aiplatform.googleapis.com/Index
Number of successfully upserted or removed datapoints.
index_endpoint_id: The ID of the target index endpoint.
deployed_index_id: The ID of the target DeployedIndex.
node_id: The ID of the target node: _.
request_type: Request type for stream update (upsert or remove).
index_type: The type of target Index.
matching_engine/stream_update/latencies BETA(project)
Stream update latencies
DELTADISTRIBUTIONms
aiplatform.googleapis.com/Index
The latencies between the user receives a UpsertDatapointsResponse or RemoveDatapointsResponse and that update takes effect.
index_endpoint_id: The ID of the target index endpoint.
deployed_index_id: The ID of the target DeployedIndex.
node_id: The ID of the target node: _.
request_type: Request type for stream update (upsert or remove).
index_type: The type of target Index.
matching_engine/stream_update/request_count BETA(project)
Request count
DELTAINT641
aiplatform.googleapis.com/Index
Number of stream update requests.
index_endpoint_id: The ID of the target index endpoint.
deployed_index_id: The ID of the target DeployedIndex.
node_id: The ID of the target node: _.
request_type: Request type for stream update (upsert or remove).
response_code: Response code.
index_type: The type of target Index.
online_prediction_dedicated_requests_per_base_model_version BETA(project)
Online prediction dedicated requests per base model version
DELTAINT641
aiplatform.googleapis.com/Location
Online prediction dedicated requests per minute per project per base model version.
base_model_version: The base model version custom dimension.
online_prediction_dedicated_tokens_per_base_model_version BETA(project)
Online prediction dedicated tokens per minute per base model version
DELTAINT641
aiplatform.googleapis.com/Location
Online prediction dedicated tokens per minute per project per base model version.
base_model_version: The base model version custom dimension.
online_prediction_requests_per_base_model BETA(project)
Online prediction requests per base model
DELTAINT641
aiplatform.googleapis.com/Location
Online prediction requests per minute per project per base model.
base_model: The base model custom dimension.
online_prediction_tokens_per_minute_per_base_model BETA(project)
Online prediction tokens per minute per base model
DELTAINT641
aiplatform.googleapis.com/Location
Online prediction tokens per minute per project per base model.
base_model: The base model custom dimension.
pipelinejob/duration BETA(project)
PipelineJob duration
GAUGEINT64s
aiplatform.googleapis.com/PipelineJob
Runtime seconds of the pipeline job being executed (from creation to end).
pipelinejob/task_completed_count BETA(project)
Completed PipelineTasks
CUMULATIVEINT641
aiplatform.googleapis.com/PipelineJob
Total number of completed PipelineTasks.
prediction/online/accelerator/duty_cycle BETA(project)
Accelerator duty cycle
GAUGEDOUBLE10^2.%
aiplatform.googleapis.com/Endpoint
Average fraction of time over the past sample period during which the accelerator(s) were actively processing. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
deployed_model_id: The ID of the deployed model which serves the prediction request.
replica_id: Unique ID corresponding to the deployed model replica.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/accelerator/memory/bytes_used BETA(project)
Accelerator memory usage
GAUGEINT64By
aiplatform.googleapis.com/Endpoint
Amount of accelerator memory allocated by the deployed model replica. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
deployed_model_id: The ID of the deployed model which serves the prediction request.
replica_id: Unique ID corresponding to the deployed model replica.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/cpu/utilization BETA(project)
CPU utilization
GAUGEDOUBLE10^2.%
aiplatform.googleapis.com/Endpoint
Fraction of CPU allocated by the deployed model replica and currently in use. May exceed 100% if the machine type has multiple CPUs. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
deployed_model_id: The ID of the deployed model which serves the prediction request.
replica_id: Unique ID corresponding to the deployed model replica.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/deployment_resource_pool/accelerator/duty_cycle BETA(project)
Accelerator duty cycle
GAUGEDOUBLE10^2.%
aiplatform.googleapis.com/DeploymentResourcePool
Average fraction of time over the past sample period during which the accelerator(s) were actively processing. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
replica_id: Unique ID corresponding to the deployment resource pool replica.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/deployment_resource_pool/accelerator/memory/bytes_used BETA(project)
Accelerator memory usage
GAUGEINT64By
aiplatform.googleapis.com/DeploymentResourcePool
Amount of accelerator memory allocated by the deployment resource pool replica. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
replica_id: Unique ID corresponding to the deployment resource pool replica.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/deployment_resource_pool/cpu/utilization BETA(project)
CPU utilization
GAUGEDOUBLE10^2.%
aiplatform.googleapis.com/DeploymentResourcePool
Fraction of CPU allocated by the deployment resource pool replica and currently in use. May exceed 100% if the machine type has multiple CPUs. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
replica_id: Unique ID corresponding to the deployment resource pool replica.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/deployment_resource_pool/memory/bytes_used BETA(project)
Memory usage
GAUGEINT64By
aiplatform.googleapis.com/DeploymentResourcePool
Amount of memory allocated by the deployment resource pool replica and currently in use. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
replica_id: Unique ID corresponding to the deployment resource pool replica.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/deployment_resource_pool/network/received_bytes_count BETA(project)
Network bytes received
DELTAINT64By
aiplatform.googleapis.com/DeploymentResourcePool
Number of bytes received over the network by the deployment resource pool replica.
replica_id: Unique ID corresponding to the deployment resource pool replica.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/deployment_resource_pool/network/sent_bytes_count BETA(project)
Network bytes sent
DELTAINT64By
aiplatform.googleapis.com/DeploymentResourcePool
Number of bytes sent over the network by the deployment resource pool replica.
replica_id: Unique ID corresponding to the deployment resource pool replica.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/deployment_resource_pool/replicas BETA(project)
Replica count
GAUGEINT641
aiplatform.googleapis.com/DeploymentResourcePool
Number of active replicas used by the deployment resource pool. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/deployment_resource_pool/target_replicas BETA(project)
Replica target
GAUGEINT641
aiplatform.googleapis.com/DeploymentResourcePool
Target number of active replicas needed for the deployment resource pool. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/error_count BETA(project)
Error count
DELTAINT641
aiplatform.googleapis.com/Endpoint
Number of online prediction errors.
deployed_model_id: The ID of the DeployedModel which serves the prediction request.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/memory/bytes_used BETA(project)
Memory usage
GAUGEINT64By
aiplatform.googleapis.com/Endpoint
Amount of memory allocated by the deployed model replica and currently in use. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
deployed_model_id: The ID of the deployed model which serves the prediction request.
replica_id: Unique ID corresponding to the deployed model replica.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/network/received_bytes_count BETA(project)
Network bytes received
DELTAINT64By
aiplatform.googleapis.com/Endpoint
Number of bytes received over the network by the deployed model replica. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
deployed_model_id: The ID of the deployed model which serves the prediction request.
replica_id: Unique ID corresponding to the deployed model replica.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/network/sent_bytes_count BETA(project)
Network bytes sent
DELTAINT64By
aiplatform.googleapis.com/Endpoint
Number of bytes sent over the network by the deployed model replica. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
deployed_model_id: The ID of the deployed model which serves the prediction request.
replica_id: Unique ID corresponding to the deployed model replica.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/prediction_count BETA(project)
Prediction count
DELTAINT641
aiplatform.googleapis.com/Endpoint
Number of online predictions.
deployed_model_id: The ID of the DeployedModel which serves the prediction request.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/prediction_latencies BETA(project)
Prediction Latencies
DELTADISTRIBUTIONms
aiplatform.googleapis.com/Endpoint
Online prediction latency of the deployed model.
deployed_model_id: The ID of the DeployedModel which serves the prediction request.
latency_type: One of the following "overhead", "model" or "total". The "total" latency type will always be populated. And the "overhead" and "model" latency type only get populated for custom-trained models and AutoML tabular models.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/private/prediction_latencies BETA(project)
Private endpoint prediction latencies
DELTADISTRIBUTIONms
aiplatform.googleapis.com/Endpoint
Online prediction latency of the private deployed model. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
deployed_model_id: The ID of the deployed model which serves the prediction request.
prediction/online/private/response_count BETA(project)
Private endpoint response count
DELTAINT641
aiplatform.googleapis.com/Endpoint
Online prediction response count of the private deployed model. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
deployed_model_id: The ID of the deployed model which serves the prediction request.
response_code: (INT64) HTTP response code.
prediction/online/replicas BETA(project)
Replica count
GAUGEINT641
aiplatform.googleapis.com/Endpoint
Number of active replicas used by the deployed model. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
deployed_model_id: The ID of the DeployedModel which serves the prediction request.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/response_count BETA(project)
Response count
DELTAINT641
aiplatform.googleapis.com/Endpoint
Number of different online prediction response codes.
deployed_model_id: The ID of the DeployedModel which serves the prediction request.
response_code: HTTP response code (1xx, 2xx, 3xx, 4xx, 5xx).
spot: Whether this deployment is on Spot VMs. Has values of True or False.
prediction/online/target_replicas BETA(project)
Replica target
GAUGEINT641
aiplatform.googleapis.com/Endpoint
Target number of active replicas needed for the deployed model. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
deployed_model_id: The ID of the DeployedModel which serves the prediction request.
spot: Whether this deployment is on Spot VMs. Has values of True or False.
publisher/online_serving/character_count BETA(project)
Character count
DELTAINT641
aiplatform.googleapis.com/PublisherModel
Accumulated input/output character count.
type: Type of character (input/output).
request_type: Type of request (dedicated/shared).
publisher/online_serving/characters BETA(project)
Characters
DELTADISTRIBUTION1
aiplatform.googleapis.com/PublisherModel
Input/output character count distribution.
type: Type of character (input/output).
request_type: Type of request (dedicated/shared).
publisher/online_serving/consumed_throughput BETA(project)
Character Throughput
DELTAINT641
aiplatform.googleapis.com/PublisherModel
Overall throughput used (accounting for burndown rate) in terms of characters.
request_type: Type of request (dedicated/shared).
publisher/online_serving/first_token_latencies BETA(project)
First token latencies
DELTADISTRIBUTIONms
aiplatform.googleapis.com/PublisherModel
Duration from request received to first token sent back to the client.
input_token_size: The bucketized size of number of tokens in the prediction request.
output_token_size: The bucketized size of number of tokens in the prediction response.
max_token_size: The bucketized max size of number of tokens in the prediction request/response.
request_type: The type of traffic of the request (dedicated/shared).
publisher/online_serving/model_invocation_count BETA(project)
Model invocation count
DELTAINT641
aiplatform.googleapis.com/PublisherModel
Number of model invocations (prediction requests).
input_token_size: The bucketized size of number of tokens in the prediction request.
output_token_size: The bucketized size of number of tokens in the prediction response.
max_token_size: The bucketized max size of number of tokens in the prediction request/response.
response_code: Responce code of prediction request.
request_type: The type of traffic of the request (dedicated/shared).
method: The type of method of the request (RawPredict/StreamRawPredict/ChatCompletions/etc).
error_category: Response error category of the request (user/system/capacity).
publisher/online_serving/model_invocation_latencies BETA(project)
Model invocation latencies
DELTADISTRIBUTIONms
aiplatform.googleapis.com/PublisherModel
Model invocation latencies (prediction latencies).
input_token_size: The bucketized size of number of tokens in the prediction request.
output_token_size: The bucketized size of number of tokens in the prediction response.
max_token_size: The bucketized max size of number of tokens in the prediction request/response.
latency_type: The type of latency for the prediction request (either model or overhead).
request_type: The type of traffic of the request (dedicated/shared).
publisher/online_serving/token_count BETA(project)
Token count
DELTAINT641
aiplatform.googleapis.com/PublisherModel
Accumulated input/output token count.
max_token_size: The bucketized max size of number of tokens in the prediction request/response.
type: Type of token (input/output).
request_type: The type of traffic of the request (dedicated/shared).
publisher/online_serving/tokens BETA(project)
Tokens
DELTADISTRIBUTION1
aiplatform.googleapis.com/PublisherModel
Input/output token count distribution.
max_token_size: The bucketized max size of number of tokens in the prediction request/response.
type: Type of token (input/output).
request_type: The type of traffic of the request (dedicated/shared).
quota/generate_content_input_tokens_per_minute_per_base_model/exceeded BETA(project)
Generate content input tokens per minute per base model quota exceeded error
DELTAINT641
aiplatform.googleapis.com/Location
Number of attempts to exceed the limit on quota metric aiplatform.googleapis.com/generate_content_input_tokens_per_minute_per_base_model. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
base_model: The base model custom dimension.
quota/generate_content_input_tokens_per_minute_per_base_model/limit BETA(project)
Generate content input tokens per minute per base model quota limit
GAUGEINT641
aiplatform.googleapis.com/Location
Current limit on quota metric aiplatform.googleapis.com/generate_content_input_tokens_per_minute_per_base_model. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
base_model: The base model custom dimension.
quota/generate_content_input_tokens_per_minute_per_base_model/usage BETA(project)
Generate content input tokens per minute per base model quota usage
DELTAINT641
aiplatform.googleapis.com/Location
Current usage on quota metric aiplatform.googleapis.com/generate_content_input_tokens_per_minute_per_base_model. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
base_model: The base model custom dimension.
quota/generate_content_requests_per_minute_per_project_per_base_model/exceeded ALPHA(project)
Generate content requests per minute per project per base model quota exceeded error
DELTAINT641
aiplatform.googleapis.com/Location
Number of attempts to exceed the limit on quota metric aiplatform.googleapis.com/generate_content_requests_per_minute_per_project_per_base_model. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
base_model: The base model custom dimension.
quota/generate_content_requests_per_minute_per_project_per_base_model/limit ALPHA(project)
Generate content requests per minute per project per base model quota limit
GAUGEINT641
aiplatform.googleapis.com/Location
Current limit on quota metric aiplatform.googleapis.com/generate_content_requests_per_minute_per_project_per_base_model. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
base_model: The base model custom dimension.
quota/generate_content_requests_per_minute_per_project_per_base_model/usage ALPHA(project)
Generate content requests per minute per project per base model quota usage
DELTAINT641
aiplatform.googleapis.com/Location
Current usage on quota metric aiplatform.googleapis.com/generate_content_requests_per_minute_per_project_per_base_model. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
base_model: The base model custom dimension.
quota/online_prediction_dedicated_requests_per_base_model_version/exceeded BETA(project)
Online prediction dedicated requests per base model version quota exceeded error
DELTAINT641
aiplatform.googleapis.com/Location
Number of attempts to exceed the limit on quota metric aiplatform.googleapis.com/online_prediction_dedicated_requests_per_base_model_version. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
base_model_version: The base model version custom dimension.
quota/online_prediction_dedicated_requests_per_base_model_version/limit BETA(project)
Online prediction dedicated requests per base model version quota limit
GAUGEINT641
aiplatform.googleapis.com/Location
Current limit on quota metric aiplatform.googleapis.com/online_prediction_dedicated_requests_per_base_model_version. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
base_model_version: The base model version custom dimension.
quota/online_prediction_dedicated_requests_per_base_model_version/usage BETA(project)
Online prediction dedicated requests per base model version quota usage
DELTAINT641
aiplatform.googleapis.com/Location
Current usage on quota metric aiplatform.googleapis.com/online_prediction_dedicated_requests_per_base_model_version. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
base_model_version: The base model version custom dimension.
quota/online_prediction_dedicated_tokens_per_base_model_version/exceeded BETA(project)
Online prediction dedicated tokens per minute per base model version quota exceeded error
DELTAINT641
aiplatform.googleapis.com/Location
Number of attempts to exceed the limit on quota metric aiplatform.googleapis.com/online_prediction_dedicated_tokens_per_base_model_version. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
base_model_version: The base model version custom dimension.
quota/online_prediction_dedicated_tokens_per_base_model_version/limit BETA(project)
Online prediction dedicated tokens per minute per base model version quota limit
GAUGEINT641
aiplatform.googleapis.com/Location
Current limit on quota metric aiplatform.googleapis.com/online_prediction_dedicated_tokens_per_base_model_version. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
base_model_version: The base model version custom dimension.
quota/online_prediction_dedicated_tokens_per_base_model_version/usage BETA(project)
Online prediction dedicated tokens per minute per base model version quota usage
DELTAINT641
aiplatform.googleapis.com/Location
Current usage on quota metric aiplatform.googleapis.com/online_prediction_dedicated_tokens_per_base_model_version. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
base_model_version: The base model version custom dimension.
quota/online_prediction_requests_per_base_model/exceeded BETA(project)
Online prediction requests per base model quota exceeded error
DELTAINT641
aiplatform.googleapis.com/Location
Number of attempts to exceed the limit on quota metric aiplatform.googleapis.com/online_prediction_requests_per_base_model. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
base_model: The base model custom dimension.
quota/online_prediction_requests_per_base_model/limit BETA(project)
Online prediction requests per base model quota limit
GAUGEINT641
aiplatform.googleapis.com/Location
Current limit on quota metric aiplatform.googleapis.com/online_prediction_requests_per_base_model. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
base_model: The base model custom dimension.
quota/online_prediction_requests_per_base_model/usage BETA(project)
Online prediction requests per base model quota usage
DELTAINT641
aiplatform.googleapis.com/Location
Current usage on quota metric aiplatform.googleapis.com/online_prediction_requests_per_base_model. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
base_model: The base model custom dimension.
quota/online_prediction_tokens_per_minute_per_base_model/exceeded BETA(project)
Online prediction tokens per minute per base model quota exceeded error
DELTAINT641
aiplatform.googleapis.com/Location
Number of attempts to exceed the limit on quota metric aiplatform.googleapis.com/online_prediction_tokens_per_minute_per_base_model. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
base_model: The base model custom dimension.
quota/online_prediction_tokens_per_minute_per_base_model/limit BETA(project)
Online prediction tokens per minute per base model quota limit
GAUGEINT641
aiplatform.googleapis.com/Location
Current limit on quota metric aiplatform.googleapis.com/online_prediction_tokens_per_minute_per_base_model. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
base_model: The base model custom dimension.
quota/online_prediction_tokens_per_minute_per_base_model/usage BETA(project)
Online prediction tokens per minute per base model quota usage
DELTAINT641
aiplatform.googleapis.com/Location
Current usage on quota metric aiplatform.googleapis.com/online_prediction_tokens_per_minute_per_base_model. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
base_model: The base model custom dimension.

alloydb

Metrics from AlloyDB for PostgreSQL. Launch stages of these metrics: ALPHA BETA GA

The "metric type" strings in this table must be prefixed with alloydb.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
cluster/storage/usage GA(project)
Cluster storage usage
GAUGEINT64By
alloydb.googleapis.com/Cluster
The total AlloyDB storage in bytes across the entire cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/backends_for_top_databases BETA(project)
Number of connections to the instance per database
GAUGEINT641
alloydb.googleapis.com/Database
The current number of connections per database to the instance for top 500 dbs. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/blks_hit_for_top_databases BETA(project)
Blocks hit per database
DELTAINT641
alloydb.googleapis.com/Database
Number of times Postgres found the requested block in the buffer cache per database for top 500 databases. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/blks_read_for_top_databases BETA(project)
Blocks miss per database
DELTAINT641
alloydb.googleapis.com/Database
Number of blocks read by Postgres that were not in the buffer cache per database for top 500 databases. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/committed_transactions_for_top_databases BETA(project)
Number of committed transactions per database
DELTAINT641
alloydb.googleapis.com/Database
Total number of transactions committed per database for top 500 databases. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/deadlock_count_for_top_databases BETA(project)
Number of deadlocks per database
DELTAINT641
alloydb.googleapis.com/Database
Total number of deadlocks detected in the instance per database for top 500 dbs. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/deleted_tuples_count_for_top_databases BETA(project)
Number of tuples deleted per database
DELTAINT64By
alloydb.googleapis.com/Database
The total number of rows deleted per db for top 500 dbs as a result of the queries in the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/fetched_tuples_count_for_top_databases BETA(project)
Number of tuples fetched per database
DELTAINT641
alloydb.googleapis.com/Database
The total number of rows fetched per db for top 500 dbs as a result of the queries in the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/inserted_tuples_count_for_top_databases BETA(project)
Number of tuples inserted per database
DELTAINT641
alloydb.googleapis.com/Database
The total number of rows inserted per db for top 500 dbs as a result of the queries in the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/insights/aggregate/execution_time BETA(project)
Execution time
DELTAINT64us{CPU}
alloydb.googleapis.com/Database
Accumulated query execution time since the last sample.This is the sum of CPU time, IO wait time, lock wait time, process context switch, and scheduling for all the processes involved in the query execution. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
user: The user of the database.
client_addr: The IP address of the database client.
database/postgresql/insights/aggregate/io_time BETA(project)
IO time
DELTAINT64us
alloydb.googleapis.com/Database
Accumulated IO time since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
user: The user of the database.
client_addr: The IP address of the database client.
io_type: The IO type (read/write).
database/postgresql/insights/aggregate/latencies BETA(project)
Latency
DELTADISTRIBUTIONus
alloydb.googleapis.com/Database
Query latency distribution. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
user: The user of the database.
client_addr: The IP address of the database client.
database/postgresql/insights/aggregate/lock_time BETA(project)
Lock time
DELTAINT64us
alloydb.googleapis.com/Database
Accumulated lock wait time since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
user: The user of the database.
client_addr: The IP address of the database client.
lock_type: The lock type (lw/hw/buffer_pin).
database/postgresql/insights/aggregate/row_count BETA(project)
Affected rows
DELTAINT641
alloydb.googleapis.com/Database
The number of retrieved or affected rows since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
user: The user of the database.
client_addr: The IP address of the database client.
database/postgresql/insights/aggregate/shared_blk_access_count BETA(project)
Shared blocks cache access
DELTAINT641
alloydb.googleapis.com/Database
Shared blocks (regular tables and indexed) accessed by statement execution. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
user: The user of the database.
client_addr: The IP address of the database client.
access_type: The block access type, which can be one of ["hit" - Read from cache; "miss" - Read from disk].
database/postgresql/insights/perquery/execution_time BETA(project)
Execution time per query
DELTAINT64us{CPU}
alloydb.googleapis.com/Database
Accumulated execution times per user per database per query.This is the sum of CPU time, IO wait time, lock wait time, process context switch, and scheduling for all the processes involved in the query execution. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
query_hash: A unique hash of the query string.
database/postgresql/insights/perquery/io_time BETA(project)
IO time per query
DELTAINT64us
alloydb.googleapis.com/Database
Accumulated IO time since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
io_type: The IO type (read/write).
query_hash: A unique hash of the query string.
database/postgresql/insights/perquery/latencies BETA(project)
Latency per query
DELTADISTRIBUTIONus
alloydb.googleapis.com/Database
Query latency distribution. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
query_hash: A unique hash of the query string.
database/postgresql/insights/perquery/lock_time BETA(project)
Lock time per query
DELTAINT64us
alloydb.googleapis.com/Database
Accumulated lock wait time since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
lock_type: The lock type (lw/hw/buffer_pin).
query_hash: A unique hash of the query string.
database/postgresql/insights/perquery/row_count BETA(project)
Affected rows per query
DELTAINT641
alloydb.googleapis.com/Database
The number of retrieved or affected rows since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
query_hash: A unique hash of the query string.
database/postgresql/insights/perquery/shared_blk_access_count BETA(project)
Shared blocks cache access per query
DELTAINT641
alloydb.googleapis.com/Database
Shared blocks (regular tables & indexed) accessed by statement execution. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
access_type: The block access type, which can be one of ["hit" - Read from cache; "miss" - Read from disk].
query_hash: A unique hash of the query string.
database/postgresql/insights/pertag/execution_time BETA(project)
Execution time per tag
DELTAINT64us{CPU}
alloydb.googleapis.com/Database
Accumulated execution times since the last sample.This is the sum of CPU time, IO wait time, lock wait time, process context switch, and scheduling for all the processes involved in the query execution. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the database driver.
framework: The name of the framework.
route: The name of the route.
tag_hash: A unique hash of the tag string.
database/postgresql/insights/pertag/io_time BETA(project)
IO time per tag
DELTAINT64us
alloydb.googleapis.com/Database
Accumulated IO time since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the database driver.
framework: The name of the framework.
route: The name of the route.
io_type: The IO type (read/write).
tag_hash: A unique hash of the tag string.
database/postgresql/insights/pertag/latencies BETA(project)
Latency per tag
DELTADISTRIBUTIONus
alloydb.googleapis.com/Database
Query latency distribution. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the database driver.
framework: The name of the framework.
route: The name of the route.
tag_hash: A unique hash of the tag string.
database/postgresql/insights/pertag/lock_time BETA(project)
Lock time per tag
DELTAINT64us
alloydb.googleapis.com/Database
Accumulated lock wait time since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the database driver.
framework: The name of the framework.
route: The name of the route.
lock_type: The lock type (lw/hw/buffer_pin).
tag_hash: A unique hash of the tag string.
database/postgresql/insights/pertag/row_count BETA(project)
Affected rows per tag
DELTAINT641
alloydb.googleapis.com/Database
The number of retrieved or affected rows since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the database driver.
framework: The name of the framework.
route: The name of the route.
tag_hash: A unique hash of the tag string.
database/postgresql/insights/pertag/shared_blk_access_count BETA(project)
Shared blocks cache accessed per tag
DELTAINT641
alloydb.googleapis.com/Database
Shared blocks (regular tables & indexed) accessed by statement execution. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the database driver.
framework: The name of the framework.
route: The name of the route.
access_type: The block access type, which can be one of ["hit" - Read from cache; "miss" - Read from disk].
tag_hash: A unique hash of the tag string.
database/postgresql/new_connections_for_top_databases BETA(project)
Number of connections added per database
DELTAINT641
alloydb.googleapis.com/Database
Total number of new connections added per database for top 500 databases to the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/returned_tuples_count_for_top_databases BETA(project)
Number of tuples scanned per database
DELTAINT641
alloydb.googleapis.com/Database
The total number of rows scanned per database for top 500 dbs while processing the queries in the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/rolledback_transactions_for_top_databases BETA(project)
Number of rolledback transactions per database
DELTAINT641
alloydb.googleapis.com/Database
Total number of transactions rolledback per database for top 500 databases. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/statements_executed_count BETA(project)
Statements executed count
DELTAINT641
alloydb.googleapis.com/Database
Total count of statements executed in the instance per database per operation_type. Only available for instances with Query insights enabled. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
operation_type: Name of the operation, one of [SELECT, UPDATE, INSERT, DELETE, MERGE, UTILITY, NOTHING, UNKNOWN].
database/postgresql/temp_bytes_written_for_top_databases BETA(project)
Bytes written to temporary files per database
DELTAINT64By
alloydb.googleapis.com/Database
The total amount of data(in bytes) written to temporary files by the queries per database for top 500 dbs. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/temp_files_written_for_top_databases BETA(project)
Temporary files used for writing data per database
DELTAINT641
alloydb.googleapis.com/Database
The number of temporary files used for writing data per database while performing internal algorithms like join, sort etc for top 500 dbs. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/tuples BETA(project)
Number of tuples (rows) in the database.
GAUGEINT641
alloydb.googleapis.com/Database
Number of tuples (rows) by state per database in the instance. This metric will only be exposed when the number of db’s is less than 50. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
state: State of the tuples, one of [live, dead].
database/postgresql/updated_tuples_count_for_top_databases BETA(project)
Number of tuples updated per database
DELTAINT641
alloydb.googleapis.com/Database
The total number of rows updated per db for top 500 dbs as a result of the queries in the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/vacuum/oldest_transaction_age BETA(project)
Oldest transaction age
GAUGEINT641
alloydb.googleapis.com/Instance
Current age of the oldest uncommitted transaction. It's measured in the number of transactions that started since the oldest transaction. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
type: type can be one of [running, prepared, replication_slot, replica].
database/postgresql/vacuum/transaction_id_utilization BETA(project)
Transaction ID utilization
GAUGEDOUBLE1
alloydb.googleapis.com/Instance
The current percentage of transaction ID space consumed by the AlloyDB instance. It records the number of unvacuumed transactions as a percentage of the 2-billion maximum. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database/postgresql/written_tuples_count_for_top_databases BETA(project)
Number of tuples written
DELTAINT641
alloydb.googleapis.com/Database
The total number of rows written(inserted,updated,deleted) per db for top 500 dbs as a result of the queries in the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/cpu/average_utilization GA(project)
Mean CPU utilization
GAUGEDOUBLE10^2.%
alloydb.googleapis.com/Instance
Mean CPU utilization across all currently serving nodes of the instance from 0 to 100. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/cpu/maximum_utilization GA(project)
Maximum CPU utilization
GAUGEDOUBLE10^2.%
alloydb.googleapis.com/Instance
Maximum CPU utilization across all currently serving nodes of the instance from 0 to 100. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/cpu/vcpus GA(project)
vCPUs allocated per node
GAUGEINT641
alloydb.googleapis.com/Instance
The number of vCPUs allocated to each node in the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/memory/min_available_memory GA(project)
Minimum available memory
GAUGEINT64By
alloydb.googleapis.com/Instance
The minimum available memory across all currently serving nodes of the instance. The available memory is an estimate of memory in bytes available for allocation on the VM including memory that is currently used, but can be potentially freed. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgres/abort_count GA(project)
Instance abort count
DELTAINT641
alloydb.googleapis.com/Instance
The number of transactions that were rolled back across all serving nodes of the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgres/average_connections GA(project)
Mean connections per node
GAUGEDOUBLE1
alloydb.googleapis.com/Instance
The mean number of active and idle connections to AlloyDB across serving nodes of the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgres/commit_count GA(project)
Instance commit count
DELTAINT641
alloydb.googleapis.com/Instance
The number of committed transactions across all serving nodes of the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgres/connections_limit GA(project)
Limit on connections per node
GAUGEINT641
alloydb.googleapis.com/Instance
The current limit on the number of connections per node of the AlloyDB instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgres/instances GA(project)
Number and status of nodes
GAUGEINT641
alloydb.googleapis.com/Instance
The number of nodes in the instance, along with their status, which can be either up or down. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
status: The status of nodes in the instance, which can be one of [up, down].
instance/postgres/replication/maximum_lag GA(project)
Maximum replication lag
GAUGEINT64ms
alloydb.googleapis.com/Instance
The maximum replication time lag calculated across all serving read replicas of the instance. The replication time lag is derived from the replay_lag value. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
replica_instance_id: The ID of the replica instance.
instance/postgres/replication/maximum_secondary_lag BETA(project)
Maximum secondary cluster replication lag
GAUGEINT64ms
alloydb.googleapis.com/Instance
The maximum replication time lag calculated from primary to secondary cluster. The replication time lag is derived from the replay_lag value. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
application_name: Application name.
client_addr: Client address.
secondary_project: The project of the secondary cluster.
secondary_location: The location of the secondary cluster.
secondary_cluster_id: The ID of the secondary cluster.
secondary_instance_id: The ID of the secondary instance.
instance/postgres/replication/network_lag BETA(project)
Network lag
GAUGEINT64ms
alloydb.googleapis.com/Instance
Time elapsed between flushing recent WAL locally and receiving notification that this standby server has written and flushed it (but not yet applied it). Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
client_addr: The IP address of the database client.
application_name: The name of the database client application.
secondary_project: Project of the secondary.
secondary_location: Location of the secondary.
secondary_cluster_id: Cluster ID of the secondary.
secondary_instance_id: Instance ID of the secondary.
instance/postgres/replication/replicas GA(project)
AlloyDB replica count
GAUGEINT641
alloydb.googleapis.com/Instance
The number of read replicas connected to the primary instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
state: State of the replication, one of ["startup" - WAL sender is starting up; "catchup" - Connected standby of WAL sender is catching up with the primary; "streaming" - WAL sender is streaming changes after its connected standby server has caught up with the primary; "backup" - WAL sender is sending a backup; "stopping" - WAL sender is stopping].
replica_instance_id: The ID of the replica instance.
instance/postgres/total_connections GA(project)
Total connections per instance
GAUGEINT641
alloydb.googleapis.com/Instance
The number of active and idle connections to the AlloyDB instance across serving nodes of the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgres/transaction_count GA(project)
Instance transaction count
DELTAINT641
alloydb.googleapis.com/Instance
The number of committed and rolled back transactions across all serving nodes of the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgresql/backends_by_state BETA(project)
Number of connections to the instance per connection state
GAUGEINT641
alloydb.googleapis.com/Instance
The current number of connections to the instance grouped by the state: idle, active, idle_in_transaction, idle_in_transaction_aborted, disabled, and fastpath_function_call. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
state: State of the connection, one of [idle, active, idle_in_transaction, idle_in_transaction_aborted, disabled, fastpath_function_call].
instance/postgresql/backends_for_top_applications BETA(project)
Number of connections to the instance per application
GAUGEINT641
alloydb.googleapis.com/Instance
The current number of connections to the AlloyDB instance, grouped by applications for top 500 applications. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
application_name: Name of the application connected to the instance.
instance/postgresql/blks_hit BETA(project)
Blocks hit
DELTAINT641
alloydb.googleapis.com/Instance
Number of times Postgres found the requested block in the buffer cache. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgresql/blks_read BETA(project)
Blocks miss
DELTAINT641
alloydb.googleapis.com/Instance
Number of blocks read by Postgres that were not in the buffer cache. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgresql/deadlock_count BETA(project)
Number of deadlocks
DELTAINT641
alloydb.googleapis.com/Instance
Number of deadlocks detected in the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgresql/deleted_tuples_count BETA(project)
Number of tuples deleted
DELTAINT641
alloydb.googleapis.com/Instance
Number of rows deleted while processing the queries in the instance since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgresql/fetched_tuples_count BETA(project)
Number of tuples fetched
DELTAINT641
alloydb.googleapis.com/Instance
Number of rows fetched while processing the queries in the instance since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgresql/inserted_tuples_count BETA(project)
Number of tuples inserted
DELTAINT641
alloydb.googleapis.com/Instance
Number of rows inserted while processing the queries in the instance since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgresql/new_connections_count BETA(project)
Number of new connections added to the instance
DELTAINT641
alloydb.googleapis.com/Instance
The number new connections added to the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgresql/returned_tuples_count BETA(project)
Number of tuples scanned
DELTAINT641
alloydb.googleapis.com/Instance
Number of rows scanned while processing the queries in the instance since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgresql/temp_bytes_written_count BETA(project)
Bytes written to temporary files
DELTAINT64By
alloydb.googleapis.com/Instance
The total amount of data(in bytes) written to temporary files by the queries while performing internal algorithms like join, sort etc. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgresql/temp_files_written_count BETA(project)
Temporary files used for writing data
DELTAINT641
alloydb.googleapis.com/Instance
The number of temporary files used for writing data in the instance while performing internal algorithms like join, sort etc. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgresql/updated_tuples_count BETA(project)
Number of tuples updated
DELTAINT641
alloydb.googleapis.com/Instance
Number of rows updated while processing the queries in the instance since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/postgresql/version BETA(project)
The version of the Postgres database.
GAUGESTRING
alloydb.googleapis.com/Instance
The version of the Postgres database (e.g. POSTGRES_14, POSTGRES_15 etc).
instance/postgresql/wait_count BETA(project)
Wait count
DELTAINT641
alloydb.googleapis.com/Instance
Total number of times processes waited for each wait event in the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
wait_event_type: Type of the wait event.
wait_event_name: Name of the wait event.
instance/postgresql/wait_time BETA(project)
Wait time
DELTADOUBLEus
alloydb.googleapis.com/Instance
Total elapsed wait time for each wait event in the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
wait_event_type: Type of the wait event.
wait_event_name: Name of the wait event.
instance/postgresql/written_tuples_count BETA(project)
Number of tuples written
DELTAINT641
alloydb.googleapis.com/Instance
Number of rows written while processing the queries in the instance since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
node/cpu/usage_time BETA(project)
Node CPU usage
GAUGEDOUBLE1
alloydb.googleapis.com/InstanceNode
Rate of CPU utilization in the node. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
node/postgres/replay_lag BETA(project)
Node replication lag
GAUGEINT64ms
alloydb.googleapis.com/InstanceNode
The lag in milliseconds for the individual node, comes from replay_lag in pg_stat_replication. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
node/postgres/uptime BETA(project)
Node database availability
GAUGEDOUBLE1
alloydb.googleapis.com/InstanceNode
Rate of database availability in the node. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
quota/storage_usage_per_cluster ALPHA(project)
Storage usage per cluster.
GAUGEINT641
alloydb.googleapis.com/Location
Storage usage per cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
cluster: The AlloyDB cluster.
quota/storage_usage_per_cluster/exceeded ALPHA(project)
Storage usage per cluster. quota exceeded error
DELTAINT641
alloydb.googleapis.com/Location
Number of attempts to exceed the limit on quota metric alloydb.googleapis.com/storage_usage_per_cluster. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
cluster: The AlloyDB cluster.
quota/storage_usage_per_cluster/limit ALPHA(project)
Storage usage per cluster. quota limit
GAUGEINT641
alloydb.googleapis.com/Location
Current limit on quota metric alloydb.googleapis.com/storage_usage_per_cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
cluster: The AlloyDB cluster.
quota/storage_usage_per_cluster/usage ALPHA(project)
Storage usage per cluster. quota usage
GAUGEINT641
alloydb.googleapis.com/Location
Current usage on quota metric alloydb.googleapis.com/storage_usage_per_cluster. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
cluster: The AlloyDB cluster.

apigateway

Metrics from API Gateway. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with apigateway.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
proxy/request_count BETA(project)
Request Count
DELTAINT641
apigateway.googleapis.com/Gateway
Number of requests served by API gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_code_class: HTTP response code class (1xx, 2xx, 3xx, 4xx, 5xx).
api_config: The name of API Config resource hosted by the Gateway.

apigee

Metrics from Apigee. Launch stages of these metrics: ALPHA BETA

The "metric type" strings in this table must be prefixed with apigee.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
cassandra/clientrequest_latency BETA(project)
Apigee Cassandra client request latency
GAUGEDOUBLE1
k8s_container
Average read request latency in the 75th percentile range in microseconds for Apigee Cassandra. Sampled every 60 seconds.
scope: Scope of the request.
unit: Unit of the metric.
cassandra/compaction_pendingtasks BETA(project)
Apigee Cassandra pending compaction tasks
GAUGEINT641
k8s_container
Number of pending compaction tasks for Apigee Cassandra. Sampled every 60 seconds.
unit: unit of the metric.
cassandra/jvm_memory_bytes_committed BETA(project)
Apigee Cassandra bytes committed per area
GAUGEDOUBLEBy
k8s_container
Number of bytes committed for Apigee Cassandra JVM heap. Sampled every 60 seconds.
area: Area of the memory such as heap or non-heap.
cassandra/jvm_memory_bytes_init BETA(project)
Apigee Cassandra initial memory bytes
GAUGEDOUBLEBy
k8s_container
Initial memory usage in bytes for Apigee Cassandra JVM heap. Sampled every 60 seconds.
area: Area of the memory such as heap or non-heap.
cassandra/jvm_memory_bytes_max BETA(project)
Apigee Cassandra max bytes of memory
GAUGEDOUBLEBy
k8s_container
Maximum memory usage in bytes for Apigee Cassandra JVM heap. Sampled every 60 seconds.
area: Area of the memory such as heap or non-heap.
cassandra/jvm_memory_bytes_used BETA(project)
Apigee Cassandra used JVM memory bytes
GAUGEDOUBLEBy
k8s_container
Memory usage in bytes for Apigee Cassandra JVM heap. Sampled every 60 seconds.
area: Area of the memory such as heap or non-heap.
cassandra/jvm_memory_pool_bytes_committed BETA(project)
Apigee Cassandra bytes committed per memory pool
GAUGEDOUBLEBy
k8s_container
Memory usage in bytes committed per Apigee Cassandra JVM pool. Sampled every 60 seconds.
pool: Name of the cassandra memory pool.
cassandra/jvm_memory_pool_bytes_init BETA(project)
Apigee Cassandra initial bytes of JVM memory pool
GAUGEDOUBLEBy
k8s_container
Initial memory usage in bytes for Apigee Cassandra JVM pool. Sampled every 60 seconds.
pool: Name of the cassandra memory pool.
cassandra/jvm_memory_pool_bytes_max BETA(project)
Apigee Cassandra JVM memory pool bytes max
GAUGEDOUBLEBy
k8s_container
Maximum memory usage in bytes for Apigee Cassandra JVM pool. Sampled every 60 seconds.
pool: Name of the cassandra memory pool.
cassandra/jvm_memory_pool_bytes_used BETA(project)
Apigee Cassandra bytes per memory pool
GAUGEDOUBLEBy
k8s_container
Memory usage in bytes per Apigee Cassandra JVM pool. Sampled every 60 seconds.
pool: Name of the cassandra memory pool.
cassandra/process_cpu_seconds_total BETA(project)
Apigee Cassandra user and system CPU in seconds
CUMULATIVEDOUBLEs
k8s_container
User and system CPU time spent in seconds for Apigee Cassandra. Sampled every 60 seconds.
cassandra/process_max_fds BETA(project)
Apigee Cassandra process max file descriptors
GAUGEINT641
k8s_container
Maximum number of open file descriptors for Apigee Cassandra. Sampled every 60 seconds.
cassandra/process_open_fds BETA(project)
Apigee Cassandra process open file descriptors
GAUGEINT641
k8s_container
Number of open file descriptors for Apigee Cassandra. Sampled every 60 seconds.
cassandra/tablerequests_latency ALPHA(project)
Apigee Cassandra table level requests latency
GAUGEDOUBLEus
k8s_container
Read and Write Request latency for all the tablesin Apigee Cassandra. Sampled every 60 seconds.
keyspace: Keyspace name of the request.
table: Table name of the request.
scope: Scope of the request.
percentile: Type of latency.
cassandra/tablerequests_rate ALPHA(project)
Apigee Cassandra table level requests rate
GAUGEDOUBLE1/s
k8s_container
Read and Write Request rate for all the tablesin Apigee Cassandra. Sampled every 60 seconds.
keyspace: Keyspace name of the request.
table: Table name of the request.
scope: Scope of the request.
connectagent/completed_rpcs_count ALPHA(project)
Apigee Connect Agent completed RPCs count
CUMULATIVEINT641
k8s_container
Count of RPCs completed by Apigee Connect Agent. Sampled every 60 seconds.
method: GRPC client method.
status: GRPC client Status.
connectagent/dropped_requests ALPHA(project)
Apigee Connect Agent dropped requests
CUMULATIVEDISTRIBUTION1
k8s_container
Distribution of dropped requests by Apigee Connect Agent per RPC. Sampled every 60 seconds.
method: GRPC client method.
connectagent/dropped_responses ALPHA(project)
Apigee Connect Agent dropped responses
CUMULATIVEDISTRIBUTION1
k8s_container
Distribution of dropped responses by Apigee Connect Agent per RPC. Sampled every 60 seconds.
method: GRPC client method.
connectagent/received_bytes ALPHA(project)
Apigee Connect Agent received bytes
CUMULATIVEDISTRIBUTIONBy
k8s_container
Distribution of bytes received by Apigee Connect Agent per RPC. Sampled every 60 seconds.
method: GRPC client method.
connectagent/received_messages ALPHA(project)
Apigee Connect Agent received messages
CUMULATIVEDISTRIBUTION1
k8s_container
Distribution of messages received by Apigee Connect Agent per RPC. Sampled every 60 seconds.
method: GRPC client method.
connectagent/sent_bytes ALPHA(project)
Apigee Connect Agent sent bytes
CUMULATIVEDISTRIBUTIONBy
k8s_container
Distribution of bytes sent by Apigee Connect Agent per RPC. Sampled every 60 seconds.
method: GRPC client method.
connectagent/sent_messages ALPHA(project)
Apigee Connect Agent sent messages
CUMULATIVEDISTRIBUTION1
k8s_container
Distribution of messages sent by Apigee Connect Agent per RPC. Sampled every 60 seconds.
method: GRPC client method.
connectagent/stream_liveness_time ALPHA(project)
Apigee Connect Agent stream liveness time
CUMULATIVEDISTRIBUTIONms
k8s_container
Distribution of stream liveness time by Apigee Connect Agent per RPC. Sampled every 60 seconds.
method: GRPC client method.
environment/active BETA(project)
Apigee active environment
GAUGEINT641
apigee.googleapis.com/Environment
Total number of environments attached to Apigee instance. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
type: Type of the Apigee environment.
analytics_state: State of the Apigee Analytics add-on, one of [ENABLED, ENABLING, DISABLED, DISABLING].
api_security_state: State of the Apigee API Security add-on, one of [ENABLED, ENABLING, DISABLED, DISABLING].
environment/anomaly_count BETA(project)
Apigee anomaly event count
CUMULATIVEINT641
apigee.googleapis.com/Environment
Total number of anomalies observed in the Apigee environment. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
severity: Anomaly severity (slight, moderate, severe).
direction: Anomaly direction (jump/drop).
anomaly_type: Type of Apigee anomaly (example: traffic_5xx).
environment/api_call_count BETA(project)
Apigee environment API call count
DELTAINT641
apigee.googleapis.com/Environment
Total number of API calls processed by an Apigee environment. Sampled every 60 seconds.
proxy_deployment_type: Type of the Apigee environment.
environment/instance/gateway_nodes BETA(project)
Apigee gateway nodes
GAUGEINT641
apigee.googleapis.com/EnvironmentInstance
Number of Apigee gateway nodes in an environment attached to an instance. Sampled every 60 seconds.
node: Apigee node.
envoy/redis/commands/evalsha/error ALPHA(project)
Apigee Redis Envoy evalsha error
CUMULATIVEINT641
k8s_container
Total number of error evalsha commands to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/commands/evalsha/latency ALPHA(project)
Apigee Redis Envoy evalsha latency
CUMULATIVEDISTRIBUTIONusec
k8s_container
Total amount of time in microseconds for execution of evalsha command. Sampled every 60 seconds.
envoy/redis/commands/evalsha/success ALPHA(project)
Apigee Redis Envoy evalsha success
CUMULATIVEINT641
k8s_container
Total number of successful evalsha commands to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/commands/evalsha/total ALPHA(project)
Apigee Redis Envoy evalsha Total
CUMULATIVEINT641
k8s_container
Total number of evalsha commands to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/commands/get/error ALPHA(project)
Apigee Redis Envoy get error
CUMULATIVEINT641
k8s_container
Total number of error get commands to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/commands/get/latency ALPHA(project)
Apigee Redis Envoy get latency
CUMULATIVEDISTRIBUTIONusec
k8s_container
Total amount of time in microseconds for execution of get command. Sampled every 60 seconds.
envoy/redis/commands/get/success ALPHA(project)
Apigee Redis Envoy get success
CUMULATIVEINT641
k8s_container
Total number of successful get commands to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/commands/get/total ALPHA(project)
Apigee Redis Envoy get total
CUMULATIVEINT641
k8s_container
Total number of get commands to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/downstream_cx_active ALPHA(project)
Apigee Redis Envoy active connections
GAUGEINT641
k8s_container
Total number of current active connections to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/downstream_cx_total ALPHA(project)
Apigee Redis Envoy total connections
CUMULATIVEINT641
k8s_container
Total number of connections to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/downstream_rq_active ALPHA(project)
Apigee Redis Envoy active requests
GAUGEINT641
k8s_container
Total number of current active requests to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/downstream_rq_total ALPHA(project)
Apigee Redis Envoy total requests
CUMULATIVEINT641
k8s_container
Total number of requests received by Apigee Redis Envoy. Sampled every 60 seconds.
mint/latencies_percentile BETA(project)
Percentile of Apigee Monetization response latencies
GAUGEDOUBLEms
apigee.googleapis.com/ProxyV2
Percentile of all Monetized response latencies to a request. Sampled every 60 seconds.
mint_status: Status of Monetized request.
percentile: Apigee proxy response latencies Percentile.
time_window: Apigee Proxy response latencies percentile aggregation time window.
mint/request_count BETA(project)
Apigee Monetization request cumulative count
CUMULATIVEINT641
apigee.googleapis.com/ProxyV2
Total number of requests received by the Montized Api Proxy. Sampled every 60 seconds.
mint/response_count BETA(project)
Apigee Monetization response cumulative count
CUMULATIVEINT641
apigee.googleapis.com/ProxyV2
Total number of complete Monetized requests processed by API proxy. Sampled every 60 seconds.
mint_status: Status of Monetized request.
policyv2/latencies_percentile BETA(project)
Percentile of Apigee policy response latencies
GAUGEDOUBLEms
apigee.googleapis.com/ProxyV2
Percentile of all API policy responseto a request. Sampled every 60 seconds.
policy_name: Name of the policy.
percentile: Apigee policy response latencies Percentile.
time_window: Apigee policy response latencies percentile aggregation time window.
proxy/details BETA(project)
Apigee proxy details
GAUGEINT641
apigee.googleapis.com/Proxy
Details relevant to the proxy that is deployed to an Apigee environment. Sampled every 60 seconds. After sampling, data is not visible for up to 181 seconds.
proxy_deployment_type: Deployment type of the Apigee proxy.
proxy/latencies BETA(project)
Apigee proxy latencies
DELTADISTRIBUTIONms
apigee.googleapis.com/Proxy
A distribution of the latency calculated from when the request was received by the Apigee proxy until the response sent from the Apigee proxy to the client. Time includes the Apigee proxy overhead and the target server time. Sampled every 60 seconds. After sampling, data is not visible for up to 181 seconds.
method: HTTP method.
proxy/request_count BETA(project)
Apigee proxy request count
DELTAINT641
apigee.googleapis.com/Proxy
Number of requests sent to the Apigee proxy since the last sample was recorded. Sampled every 60 seconds. After sampling, data is not visible for up to 181 seconds.
method: HTTP method.
proxy/response_count BETA(project)
Apigee proxy response count
DELTAINT641
apigee.googleapis.com/Proxy
Number of responses sent by the Apigee API proxy since the last sample was recorded. Sampled every 60 seconds. After sampling, data is not visible for up to 181 seconds.
method: HTTP method.
response_code: (INT64) HTTP status code of the response.
fault_code: Apigee fault code to help you diagnose issues.
fault_source: Suspected cause of the fault, one of [apigee, target, policy].
apigee_fault: (BOOL) Indicates whether Apigee caused the fault.
proxyv2/details BETA(project)
Apigee proxy details
GAUGEINT641
apigee.googleapis.com/ProxyV2
Apigee proxy details deployed to an Apigee environment. Sampled every 60 seconds.
proxy_deployment_type: Deployment type of the Apigee proxy.
proxyv2/latencies_percentile BETA(project)
Percentile of Apigee proxy response latencies
GAUGEDOUBLEms
apigee.googleapis.com/ProxyV2
Percentile of all API proxy responseto a request. Sampled every 60 seconds.
method: HTTP method.
percentile: Apigee proxy response latencies Percentile.
time_window: Apigee Proxy response latencies percentile aggregation time window.
proxyv2/request_count ALPHA(project)
Apigee proxy request cumulative count
CUMULATIVEINT641
apigee.googleapis.com/ProxyV2
Total number of requests received by the Apigee API proxy. Sampled every 60 seconds.
method: HTTP method.
proxyv2/response_count ALPHA(project)
Apigee proxy response cumulative count
CUMULATIVEINT641
apigee.googleapis.com/ProxyV2
Total number of responses sent by the Apigee API proxy. Sampled every 60 seconds.
method: HTTP method.
response_code: HTTP response code.
fault_code: Apigee fault code that provides useful information to help you diagnose issues.
fault_source: Information about the suspected cause of the fault, such as API proxy, target, or the Apigee infrastructure.
apigee_fault: Boolean that is "true" if the fault is apigee caused and "false" otherwise.
security/detected_request_count BETA(project)
Apigee API Security detected request count
DELTAINT641
apigee.googleapis.com/Environment
Number of API requests detected by Apigee Advanced API Security abuse detection, since the last sample. Sampled every 300 seconds. After sampling, data is not visible for up to 120 seconds.
proxy: Apigee API proxy.
security/detected_request_count_by_rule BETA(project)
Apigee API Security detected request count by rule
DELTAINT641
apigee.googleapis.com/SecurityDetectionRule
Number of API requests detected by Apigee Advanced API Security abuse detection and grouped by detection rule, since the last sample. Note: Sum of request count across detection_rule label does not produce total detected request count, instead to get the total number of detected requests use apigee.googleapis.com/security/detected_request_count. Sampled every 300 seconds. After sampling, data is not visible for up to 120 seconds.
proxy: Apigee API proxy.
security/environment_score BETA(project)
Security score of Apigee environment
GAUGEINT641
apigee.googleapis.com/SecurityProfileEnvironmentAssociation
Current security score of Apigee environment based on Advanced API Security assessment. This value is measured at least once every 3 hours. There might be a delay after measuring before the value becomes available in Cloud Monitoring. Once available, the value is repeated at each sampling interval until the next measurement. For this metric, the sampling period is a reporting period, not a measurement period. Sampled every 300 seconds. After sampling, data is not visible for up to 120 seconds.
security/incident_request_count BETA(project)
Apigee API Security incident request count
CUMULATIVEINT641
apigee.googleapis.com/SecurityIncident
Total Number of API requests detected to be a part of an Apigee API Security incident. This value is measured once every hour. There might be a delay after measuring before the value becomes available in Cloud Monitoring. Once available, the value is repeated at each sampling interval throughout the hour. For this metric, the sampling period is a reporting period, not a measurement period. Sampled every 300 seconds. After sampling, data is not visible for up to 120 seconds.
proxy: Apigee API proxy.
security/incident_request_count_by_rule BETA(project)
Apigee API Security incident request count by detection rule
CUMULATIVEINT641
apigee.googleapis.com/SecurityIncident
Total number of API requests detected to be a part of an Apigee API Security incident grouped by detection rule. This value is measured once every hour. There might be a delay after measuring before the value becomes available in Cloud Monitoring. Once available, the value is repeated at each sampling interval throughout the hour. For this metric, the sampling period is a reporting period, not a measurement period. Note: Sum of request count across detection_rule label does not produce total request count for a security incident, instead to get the total number of requests in a security incident use apigee.googleapis.com/security/incident_request_count. Sampled every 300 seconds. After sampling, data is not visible for up to 120 seconds.
detection_rule: Apigee API Security detection rule, such as "Flooder" or "Static Content Scraper".
security/proxy_score BETA(project)
Security score of Apigee API proxy
GAUGEINT641
apigee.googleapis.com/SecurityProfileEnvironmentAssociation
Current security score of Apigee API proxy based on Advanced API Security proxy assessment. This value is measured at least once every 3 hours. There might be a delay after measuring before the value becomes available in Cloud Monitoring. Once available, the value is repeated at each sampling interval until the next measurement. For this metric, the sampling period is a reporting period, not a measurement period. Sampled every 300 seconds. After sampling, data is not visible for up to 120 seconds.
proxy: Apigee API proxy.
security/request_count BETA(project)
Apigee API Security request count
DELTAINT641
apigee.googleapis.com/Environment
Number of API requests processed by Apigee Advanced API Security, since the last sample. Sampled every 300 seconds. After sampling, data is not visible for up to 120 seconds.
proxy: Apigee API proxy.
security/source_score BETA(project)
Security score of Apigee sources
GAUGEINT641
apigee.googleapis.com/SecurityProfileEnvironmentAssociation
Current security score of Apigee environment based on Advanced API Security source assessment. This value is measured at least once every 3 hours. There might be a delay after measuring before the value becomes available in Cloud Monitoring. Once available, the value is repeated at each sampling interval until the next measurement. For this metric, the sampling period is a reporting period, not a measurement period. Sampled every 300 seconds. After sampling, data is not visible for up to 120 seconds.
security/target_score BETA(project)
Security score of Apigee target server
GAUGEINT641
apigee.googleapis.com/SecurityProfileEnvironmentAssociation
Current security score of Apigee target server based on Advanced API Security target assessment. This value is measured at least once every 3 hours. There might be a delay after measuring before the value becomes available in Cloud Monitoring. Once available, the value is repeated at each sampling interval until the next measurement. For this metric, the sampling period is a reporting period, not a measurement period. Sampled every 300 seconds. After sampling, data is not visible for up to 120 seconds.
target_server: Apigee target server.
server/fault_count BETA(project)
Apigee server fault count
CUMULATIVEINT641
k8s_container
Total number of faults returned by the Apigee server application. For example, the apigee-runtime, apigee--synchronizer, or apigee-udca server application. Sampled every 60 seconds.
source: Source of the fault.
server/latencies BETA(project)
Apigee server latencies
CUMULATIVEDISTRIBUTIONms
k8s_container
Total amount of time in milliseconds for the Apigee application server to process the requests and responses. For example, the apigee-runtime, apigee-synchronizer, or apigee-udca server application. Sampled every 60 seconds.
method: HTTP method.
response_code: HTTP response code.
type: Type of service.
server/nio BETA(project)
Apigee server nio
GAUGEINT641
k8s_container
Number of open sockets. Sampled every 60 seconds.
state: State of the NIO threads.
server/num_threads BETA(project)
Apigee server thread count
GAUGEINT641
k8s_container
Number of active non-daemon threads in the Apigee server. Sampled every 60 seconds.
server/request_count BETA(project)
Apigee server request count
CUMULATIVEINT641
k8s_container
Total number of requests received by the Apigee server application. For example, the apigee-runtime, apigee-synchronizer, or apigee-udca server application. Sampled every 60 seconds.
method: HTTP method.
type: Type of service.
server/response_count BETA(project)
Apigee server response count
CUMULATIVEINT641
k8s_container
Total number of responses sent by the Apigee server application. For example, the apigee-runtime, apigee-synchronizer, or apigee-udca server application. Sampled every 60 seconds.
method: HTTP method.
response_code: HTTP response code.
type: Type of service.
target/latencies BETA(project)
Apigee target latencies
DELTADISTRIBUTIONms
apigee.googleapis.com/Target
A distribution of the latency calculated from when the request was sent to the Apigee target until the response was received by the Apigee proxy. Time does not include the Apigee API proxy overhead. Sampled every 60 seconds. After sampling, data is not visible for up to 181 seconds.
type: Type of target interaction, one of [target, service_callout, external_callout].
method: HTTP method.
target/request_count BETA(project)
Apigee target request count
DELTAINT641
apigee.googleapis.com/Target
Number of requests sent to the Apigee target since the last sample was recorded. Sampled every 60 seconds. After sampling, data is not visible for up to 181 seconds.
type: Type of target interaction, one of [target, service_callout, external_callout].
method: HTTP method.
target/response_count BETA(project)
Apigee target response count
DELTAINT641
apigee.googleapis.com/Target
Number of responses received from the Apigee target since the last sample was recorded. Sampled every 60 seconds. After sampling, data is not visible for up to 181 seconds.
type: Type of target interaction, one of [target, service_callout, external_callout].
method: HTTP method.
response_code: (INT64) HTTP status code of the response.
targetv2/latencies_percentile BETA(project)
Percentile of Apigee proxy target response latencies
GAUGEDOUBLEms
apigee.googleapis.com/ProxyV2
apigee.googleapis.com/TargetV2
Percentile of all API proxy target responseto a request. Sampled every 60 seconds.
method: HTTP method.
percentile: Apigee proxy target response latencies Percentile.
time_window: Apigee Proxy target response latencies percentile aggregation time window.
targetv2/request_count ALPHA(project)
Apigee target request cumulative count
CUMULATIVEINT641
apigee.googleapis.com/ProxyV2
apigee.googleapis.com/TargetV2
Total number of requests received by the Apigee API proxy target. Sampled every 60 seconds.
method: HTTP method.
target_type: Type of target such as service callout.
target_endpoint: Target endpoint URL.
targetv2/response_count ALPHA(project)
Apigee target response cumulative count
CUMULATIVEINT641
apigee.googleapis.com/ProxyV2
apigee.googleapis.com/TargetV2
Total number of responses sent by the Apigee API proxy target. Sampled every 60 seconds.
method: HTTP method.
target_type: Type of target such as service callout.
target_endpoint: Target endpoint URL.
response_code: HTTP response code.
udca/disk/used_bytes BETA(project)
Apigee UDCA disk used bytes
GAUGEDOUBLEBy
k8s_container
Amount of bytes used by the data files on the data collection pod's disk. Sampled every 60 seconds.
dataset: Type of data.
state: State of the data file.
udca/server/local_file_count BETA(project)
Apigee UDCA server local file count
GAUGEINT641
k8s_container
Number of files on disk in the data collection pod. Ideally, the value will be close to 0. A consistently high value indicates that files are not being uploaded or that the Apigee Universal Data Collection Agent (UDCA) server application is not able to upload them fast enough. This value is computed every 60 seconds and does not reflect the state of the Apigee UDCA server application in real time. Sampled every 60 seconds.
dataset: Type of data.
state: State of the data file.
udca/server/local_file_latest_ts BETA(project)
Apigee UDCA server timestamp difference between current time and latest file
GAUGEINT64s
k8s_container
Apigee Universal Data Collection Agent (UDCA) server timestamp difference between current time and latest file. Sampled every 60 seconds.
dataset: Type of data.
state: State of the data file.
udca/server/local_file_oldest_ts BETA(project)
Apigee UDCA server timestamp difference between current time and oldest file
GAUGEINT64s
k8s_container
Time that the oldest file in the dataset was created in seconds since epoch. If the Apigee Universal Data Collection Agent (UDCA) server application is up to date and there are no files waiting to be uploaded when this metric is computed, then this value will be 0. If this value increases, it indicates that old files are still on disk. The metric is computed every 60 seconds and does not reflect the state of the Apigee UDCA server application in real time. Sampled every 60 seconds.
dataset: Type of data.
state: State of the data file.
udca/server/pruned_file_count BETA(project)
Apigee UDCA pruned file count
CUMULATIVEINT641
k8s_container
Total number of files that have been deleted because their Time To Life (TTL) was beyond a set threshold. The dataset can include API, trace, and others, and state can be UPLOADED, FAILED, or DISCARDED. Sampled every 60 seconds.
dataset: Type of data.
state: State of the data file.
udca/server/retry_cache_size BETA(project)
Apigee UDCA outstanding number of entries in retry cache
GAUGEINT641
k8s_container
Number of files, by dataset, that the Apigee Universal Data Collection Agent (UDCA) server application is retrying to upload. After 3 retries per file, the UDCA moves the file to the /failed subdirectory and removes it from this cache. An increase in this value over time implies that the cache is not being cleared. Sampled every 60 seconds.
dataset: Type of data.
udca/server/total_latencies BETA(project)
Apigee UDCA server total latencies
CUMULATIVEDISTRIBUTIONs
k8s_container
Total amount of time in seconds for a data file to be created and uploaded successfully by the Apigee Universal Data Collection Agent (UDCA) server application. Buckets will be 100 ms, 250 ms, 500 ms, 1 s, 2 s, 4 s, 8 s, 16 s, 32 s, and 64 s. The metrics will display a histogram for total latency from file creation time to successful upload time. Sampled every 60 seconds.
dataset: Type of data.
udca/server/upload_latencies BETA(project)
Apigee UDCA server upload latencies
CUMULATIVEDISTRIBUTIONs
k8s_container
Total amount of time in seconds that the Apigee Universal Data Collection Agent (UDCA) server application required to upload a data file. Buckets will be 100 ms, 250 ms, 500 ms, 1 s, 2 s, 4 s, 8 s500 ms, 1 s, 2 s, 4 s, 8 s, 16 s, 32 s, and 64 s. The metrics will display a histogram for total latency from file creation time to successful upload time. Sampled every 60 seconds.
dataset: Type of data.
udca/upstream/http_error_count BETA(project)
Apigee UDCA server HTTP error count
CUMULATIVEINT641
k8s_container
Total number of HTTP errors encountered by the Apigee Universal Data Collection Agent (UDCA) server application. This metric is useful to help determine in which part of the UDCA external dependencies are failing and for what reason. These errors can arise for various services (such as getDataLocation, Cloud storage, token generator) and for various datasets (such as API and trace) with different response codes. Sampled every 60 seconds.
dataset: Type of data.
service: Upstream service name.
response_code: HTTP response code.
udca/upstream/http_latencies BETA(project)
Apigee UDCA server HTTP latencies
CUMULATIVEDISTRIBUTIONs
k8s_container
Total amount of time in seconds required for upstream services. Buckets will be 100 ms, 250 ms, 500 ms, 1 s, 2 s, 4 s, 8 s, 16 s, 32 s, and 64 s. The metrics will display a histogram for latency from upstream services. Sampled every 60 seconds.
dataset: Type of data.
service: Upstream service name.
udca/upstream/uploaded_file_count BETA(project)
Apigee UDCA uploaded file count
CUMULATIVEINT641
k8s_container
Total number of files being uploaded to the Apigee Universal Data Collection Agent (UDCA) server application. Note that the event dataset value should keep growing, the API dataset value should keep growing if the organization and environment have constant traffic, and the trace dataset value should increase when you use the Apigee trace tools to debug or inspect your requests. Sampled every 60 seconds.
dataset: Type of data.
udca/upstream/uploaded_file_sizes BETA(project)
Apigee UDCA uploaded file size distribution
CUMULATIVEDISTRIBUTIONBy
k8s_container
Total file size in bytes uploaded to the Apigee Universal Data Collection Agent (UDCA) server application. Buckets will be 1 KB, 10 KB, 100 KB, 1 MB, 10 MB, 100 MB, and 1 GB. The metrics will display a histogram for file size by dataset, organization, and environment. Sampled every 60 seconds.
dataset: Type of data.
upstream/latencies BETA(project)
Apigee upstream latencies
CUMULATIVEDISTRIBUTIONms
k8s_container
Total amount of time in milliseconds incurred by the upstream Apigee server application. For apigee-synchronizer this metric indicates the latency from the control plane. Sampled every 60 seconds.
method: HTTP method.
response_code: HTTP response code.
type: Type of service.
upstream/request_count BETA(project)
Apigee upstream request count
CUMULATIVEINT641
k8s_container
Total number of requests sent by the Apigee server application to its upstream application. For example, for the apigee-synchronizer the control plane is upstream. Sampled every 60 seconds.
method: HTTP method.
type: Type of service.
upstream/response_count BETA(project)
Apigee upstream response count
CUMULATIVEINT641
k8s_container
Total number of responses received by the Apigee server application from its upstream application. For example, for the apigee-synchronizer the control plane is upstream. Sampled every 60 seconds.
method: HTTP method.
response_code: HTTP response code.
type: Type of service.

appengine

Metrics from App Engine. Note: If you use App Engine flexible environment in combination with Cloud Load Balancing, then certain metrics in the following table are reported as metrics from the loadbalancing table instead. For more information, see External Application Load Balancer logging and monitoring. Launch stages of these metrics: ALPHA BETA GA

The "metric type" strings in this table must be prefixed with appengine.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
flex/autoscaler/capacity BETA(project)
Autoscaling Metrics Utilization Capacity
GAUGEDOUBLE1
gae_app
Utilization capacity multiplied by number of serving VMs. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/autoscaler/connections/current BETA(project)
Writing and reading connections
GAUGEDOUBLE1
gce_instance
Number of current reading and writing connections per App Engine flexible environment instance. Intended to be used for autoscaling. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
service_id: The service/module name.
state: State of the connection (writing or reading).
version_id: The version name.
instance_name: The VM instance name.
flex/autoscaler/current_utilization BETA(project)
Autoscaling Metrics Current Utilization
GAUGEDOUBLE1
gae_app
The sum of the utilization of a specified metric for all serving VMs. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
metric_type: The target autoscaling metric type. For example, cpu.
flex/autoscaler/server/request_count BETA(project)
Request counts
DELTAINT641
gce_instance
Request counts for an App Engine flexible environment instance.Intended to be used for autoscaling. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
service_id: The service/module name.
version_id: The version name.
instance_name: The VM instance name.
flex/connections/current GA(project)
Connections
GAUGEDOUBLE1
gae_app
Number of current active connections per App Engine flexible environment version. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/cpu/reserved_cores GA(project)
Reserved cores
GAUGEDOUBLE1
gae_app
Total number of CPU cores allocated to an App Engine flexible environment version. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/cpu/utilization GA(project)
CPU utilization
GAUGEDOUBLE10^2.%
gae_app
Fractional utilization of allocated CPU across an App Engine flexible environment version. Values are typically numbers between 0.0 and 1.0 (but some machine types allow bursting above 1.0). Charts display the values as a percentage between 0% and 100% (or more). Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/disk/read_bytes_count GA(project)
Disk bytes read
DELTAINT64By
gae_app
Delta count of bytes read from disk across an App Engine flexible environment version. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/disk/write_bytes_count GA(project)
Disk bytes written
DELTAINT64By
gae_app
Delta count of bytes written from disk across an App Engine flexible environment version. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/connections/current GA(project)
Connections
GAUGEDOUBLE1
gae_instance
Number of current active connections per App Engine flexible environment instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/container/cpu/limit ALPHA(project)
Container CPU limit
GAUGEDOUBLEs{CPU}/s
gae_instance
CPU time limit (where applicable). Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
container_name: Name of the container (or ID if name is not available).
flex/instance/container/cpu/usage_time ALPHA(project)
Container CPU usage
GAUGEDOUBLEs{CPU}
gae_instance
Per container CPU usage in CPU seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
container_name: Name of the container (or ID if name is not available).
flex/instance/container/memory/limit ALPHA(project)
Container memory limit
GAUGEINT64By
gae_instance
Total memory the container is allowed to use. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
container_name: Name of the container (or ID if name is not available).
flex/instance/container/memory/usage ALPHA(project)
Container memory usage
GAUGEINT64By
gae_instance
Total memory the container is using. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
container_name: Name of the container (or ID if name is not available).
flex/instance/container/network/received_bytes_count ALPHA(project)
Container network bytes received
DELTAINT64By
gae_instance
Bytes received by container over all network interfaces. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
container_name: Name of the container (or ID if name is not available).
flex/instance/container/network/sent_bytes_count ALPHA(project)
Container network bytes sent
DELTAINT64By
gae_instance
Bytes sent by container over all network interfaces. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
container_name: Name of the container (or ID if name is not available).
flex/instance/container/restart_count ALPHA(project)
Container restart count
DELTAINT641
gae_instance
Number of times the container has been restarted. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
container_name: Name of the container (or ID if name is not available).
flex/instance/container/uptime ALPHA(project)
Container uptime
GAUGEINT64s
gae_instance
Time for which the container has been up. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
container_name: Name of the container (or ID if name is not available).
flex/instance/cpu/usage_time ALPHA(project)
CPU Usage
DELTADOUBLEs{CPU}
gae_instance
Delta vCPU usage for all vCPUs, in vCPU-seconds. This value is reported by the hypervisor for the VM. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/cpu/utilization GA(project)
CPU Utilization
GAUGEDOUBLE10^2.%
gae_instance
Fractional CPU utilization for all cores on a single App Engine flexible instance. Values are typically numbers between 0.0 and 1.0 for a single core (but might exceed 1.0 in total). Charts display the values as a percentage between 0% and 100% (or more). Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/disk/io/read_bytes_count ALPHA(project)
Disk read bytes
DELTAINT64By
gae_instance
Delta count of bytes read from disk. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/disk/io/write_bytes_count ALPHA(project)
Disk write bytes
DELTAINT64By
gae_instance
Delta count of bytes written to disk. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/guest/disk/bytes_used ALPHA(project)
Disk usage
GAUGEINT64By
gae_instance
Number of bytes used on disk for file systems. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
device_name: The name of the disk device.
state: Type of usage (free, used, reserved).
flex/instance/guest/memory/bytes_used ALPHA(project)
Memory usage
GAUGEINT64By
gae_instance
Memory usage by each memory state, in Bytes. Summing values of all states yields the total memory on the machine. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
state: One of the following: buffered, cached, free, slab, used. Buffered consists of temporary storage for raw disk blocks. Cached consists of the pagecache and tmpfs usage. Free consists of total free memory. Slab consists of memory used for caching in-kernel data structures. Used is calculated by subtracting the values for the other states from the total available memory.
flex/instance/healthcheck/liveness/request_count ALPHA(project)
Liveness check
DELTAINT641
gae_instance
Number of liveness health-check requests for a Flex instance with status and error code. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
status: Status of healthcheck request.
error_code: Error code when status is 'fail'.
flex/instance/healthcheck/readiness/request_count ALPHA(project)
Readiness check
DELTAINT641
gae_instance
Number of readiness health-check requests for a Flex instance with status and error code. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
status: Status of healthcheck request.
error_code: Error code when status is 'fail'.
flex/instance/jvm/gc/count ALPHA(project)
GC count
DELTAINT641
gae_instance
The total number of garbage collections that have occurred. Sampled every 60 seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
gc_name: The name of the garbage collector involved.
flex/instance/jvm/gc/time ALPHA(project)
GC Time
DELTAINT64ms
gae_instance
The accumulated garbage collection elapsed time in milliseconds. Sampled every 60 seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
gc_name: The name of the garbage collector involved.
flex/instance/jvm/memory/usage ALPHA(project)
Memory usage
GAUGEDOUBLEBy
gae_instance
The memory usage. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
memory_type: The type of the memory.
usage_kind: The kind of memory usage.
flex/instance/jvm/os/cpu_time ALPHA(project)
CPU time
DELTAINT64ns
gae_instance
The CPU time used by the process on which the Java virtual machine is running. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/jvm/thread/num_live ALPHA(project)
Threads
GAUGEDOUBLE1
gae_instance
The current number of live threads. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/jvm/thread/peak ALPHA(project)
Max threads
GAUGEDOUBLE1
gae_instance
The peak number of live threads. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/jvm/uptime ALPHA(project)
Uptime
DELTAINT64ms
gae_instance
The uptime of the Java virtual machine. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/log_entry_count ALPHA(project)
Logging Agent Log Entry Count
DELTAINT641
gae_instance
Count of log entries written by the Logging agent. Sampled every 60 seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
response_code: (INT64) Numeric response code from both the gRPC and HTTP error spaces.
flex/instance/log_entry_retry_count ALPHA(project)
Logging Agent Retried Log Entry Writes Count
DELTAINT641
gae_instance
Count of log-entry writes that were retried by the Logging agent. Sampled every 60 seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
response_code: (INT64) Numeric response code from both the gRPC and HTTP error spaces.
flex/instance/network/received_bytes_count GA(project)
Network bytes received
DELTAINT64By
gae_instance
Delta count of incoming network bytes in an App Engine flexible instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/network/sent_bytes_count GA(project)
Network bytes sent
DELTAINT64By
gae_instance
Delta count of outgoing network bytes in an App Engine flexible instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/nginx/connections/accepted_count ALPHA(project)
Accepted connections
DELTAINT641
gae_instance
Total connections accepted. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/nginx/connections/current ALPHA(project)
Active connections
GAUGEDOUBLE1
gae_instance
The number of connections currently attached to Nginx. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
state: The Nginx connection state.
flex/instance/nginx/connections/handled_count ALPHA(project)
Handled connections
DELTAINT641
gae_instance
Total connections handled. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/uptime ALPHA(project)
Uptime
GAUGEDOUBLEs
gae_instance
How long the VM has been running, in seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/web_socket/closed_connections_count BETA(project)
Websocket connections closed
DELTAINT641
gae_instance
Count of websocket connections closed. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/web_socket/durations BETA(project)
Websocket duration
DELTADISTRIBUTIONs
gae_instance
The durations of websocket connections measured at nginx. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/ws/avg_duration GA(project)
Websocket average duration
GAUGEDOUBLEs
gae_instance
Average of websocket requests for a given App Engine Flexible instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/network/received_bytes_count GA(project)
Network bytes received.
DELTAINT64By
gae_app
Delta count of incoming network bytes across all VMs in an App Engine flexible environment version. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/network/sent_bytes_count GA(project)
Network bytes sent.
DELTAINT64By
gae_app
Delta count of outgoing network bytes across all VMs in an App Engine flexible environment version. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
http/server/dos_intercept_count GA(project)
Interception count
DELTAINT641
gae_app
Delta count of interceptions performed to prevent DoS attacks. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
http/server/quota_denial_count GA(project)
Quota denial count
DELTAINT641
gae_app
Delta count of requests that failed due to the app being over quota. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
http/server/response_count GA(project)
Response count
DELTAINT641
gae_app
Delta HTTP response count. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
loading: (BOOL) Indicates whether the request was loading.
response_code: (INT64) HTTP status code for the request.
http/server/response_latencies GA(project)
Response latency
DELTADISTRIBUTIONms
gae_app
HTTP response latency. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
loading: (BOOL) Indicates whether the request was loading.
response_code: (INT64) HTTP status code for the request.
http/server/response_style_count GA(project)
Response count by style
DELTAINT641
gae_app
Delta counts on the HTTP serve style. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
dynamic: (BOOL) Indicates if the request was a static or dynamic request.
cached: (BOOL) Indicates if the response was cached.
infrastructure/cloudsql/connection_latencies GA(project)
CloudSQL connection latency
DELTADISTRIBUTIONus
gae_app
Distribution of latency in microseconds for connections originating from App Engine to CloudSQL. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
infrastructure/cloudsql/connection_refused_count GA(project)
CloudSQL connection refused count
DELTAINT641
gae_app
Total number of connections refused originating from App Engine to CloudSQL. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
infrastructure/cloudsql/connection_request_count GA(project)
CloudSQL connection request count
DELTAINT641
gae_app
Total number of connection requests originating from App Engine to CloudSQL. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
infrastructure/cloudsql/received_bytes_count GA(project)
CloudSQL bytes received
DELTAINT64By
gae_app
Number of bytes received by App Engine from Cloud SQL over the network. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
infrastructure/cloudsql/sent_bytes_count GA(project)
CloudSQL bytes sent
DELTAINT64By
gae_app
Number of bytes sent by App Engine to Cloud SQL over the network. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
memcache/access_ages ALPHA(project)
Ages at Access
DELTADISTRIBUTIONs
gae_app
Ages of cached items when they are accessed. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
memcache/backend_request_count ALPHA(project)
Backend Requests
DELTAINT64{requests}
gae_app
Count of cache requests as recorded by the backends. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
memcache/cache_size_limit ALPHA(project)
Memcache Size Limit
GAUGEINT64By
gae_app
Expected maximum possible cache size based on app's configuration. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
memcache/centi_mcu_count GA(project)
Memcache utilization
DELTAINT641
gae_app
Memcache utilization in one hundredth of Memcache Compute Unit grouped by command. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
command: Name of the memcache command.
memcache/centi_mcu_limit ALPHA(project)
Memcache Compute Unit Limit
GAUGEINT64c{MCU}
gae_app
Expected maximum memcache size in one hundredth of Memcache Compute Units. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
memcache/eviction_count ALPHA(project)
Rate of evictions
DELTAINT64{item}
gae_app
Rate of items evicted from the cache due to space constraints. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
memcache/hit_bytes_count ALPHA(project)
Hit Bytes Count
DELTAINT64By
gae_app
Count of bytes served from cache hits. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
memcache/hit_count ALPHA(project)
Cache Hits
DELTAINT64{request}
gae_app
Rate of cache hits. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
memcache/hit_ratio GA(project)
Hit ratio
GAUGEDOUBLE1
gae_app
Percentage of successful hits compared to all memcache operations. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
memcache/hot_keys ALPHA(project)
Hot Keys
DELTADISTRIBUTION{request}
gae_app
Distribution of hot key qps. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
memcache/miss_count ALPHA(project)
Cache Misses
DELTAINT64{request}
gae_app
Rate of cache misses. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
memcache/operation_count GA(project)
Memcache operations
DELTAINT641
gae_app
Count of memcache key operations, grouped by command and status. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
command: Name of the memcache command.
status: Whether the operation succeeded or not, e.g. HIT or MISS. This is currently unpopulated (always an empty string).
memcache/received_bytes_count GA(project)
Memcache received bytes
DELTAINT64By
gae_app
Number of bytes received by app from the memcache API, grouped by status and memcache command. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
status: RPC status of the request.
command: Name of the memcache command.
memcache/sent_bytes_count GA(project)
Memcache sent bytes
DELTAINT64By
gae_app
Number of bytes sent by app through the memcache API, grouped by memcache command. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
command: Name of the memcache command.
memcache/set_bytes_count ALPHA(project)
Set Bytes Count
DELTAINT64By
gae_app
Count of bytes received from sets. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
memcache/used_cache_size GA(project)
Used Cache Size
GAUGEINT64By
gae_app
Size of the cache, calculated as the total size of all items stored. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
system/billed_instance_estimate_count GA(project)
Estimated instance count
GAUGEINT641
gae_app
Estimate of the number of instances that the customer is charged for. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
system/cpu/usage GA(project)
CPU megacycles
GAUGEINT641
gae_app
CPU usage in megacycles over all instances. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
source: The source of the CPU usage (api or runtime).
system/cpu/utilization BETA(project)
CPU utilization
GAUGEDOUBLE10^2.%
gae_app
CPU utilization average over all active instances. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
system/instance_count GA(project)
Instance count
GAUGEINT641
gae_app
Number of instances that exist. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
state: State of instance (active, idle, etc).
system/memory/usage GA(project)
Memory usage
GAUGEINT64By
gae_app
Total memory used by running instances. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
system/network/received_bytes_count GA(project)
Received bytes
DELTAINT64By
gae_app
Delta count of incoming network bandwidth. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cached: (BOOL) Indicates if response was cached.
system/network/sent_bytes_count GA(project)
Sent bytes
DELTAINT64By
gae_app
Delta count of outgoing network bandwidth. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cached: (BOOL) Indicates if response was cached.
system/pending_queue/pending_requests ALPHA(project)
Pending Requests
GAUGEINT641
gae_app
Number of pending requests. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.

apphub

Metrics from App Hub. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with apphub.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
application/services BETA(project)
Registered Services
GAUGEINT641
apphub.googleapis.com/Application
Number of Registered Services in a host project per location per application.
criticality_level: Criticality level enum for the service.
environment: Environment attribute enum for the service.
service_project_id: The Service Project ID for the underlying infrastructure resource. This is different from the GCP project in resource_container. Each GCP project might contains multiple service projects.
application/workloads BETA(project)
Registered Workloads
GAUGEINT641
apphub.googleapis.com/Application
Number of Registered Workloads in a host project per location per application.
criticality_level: Criticality level enum for the workload.
environment: Environment attribute enum for the workload.
service_project_id: The Service Project ID for the underlying infrastructure resource. This is different from the GCP project in resource_container. Each GCP project might contains multiple service projects.
applications BETA(project)
Applications
GAUGEINT641
apphub.googleapis.com/Location
Number of Applications in a host project per location.
criticality_level: Criticality level enum for the application.
environment: Environment attribute enum for the application.
discovered/services BETA(project)
Discovered Services
GAUGEINT641
apphub.googleapis.com/Location
Number of Discovered Services in a host project per location.
service_project_id: The Service Project ID for the underlying infrastructure resource. This is different from the GCP project in resource_container. Each GCP project might contains multiple service projects.
discovered/workloads BETA(project)
Discovered Workloads
GAUGEINT641
apphub.googleapis.com/Location
Number of Discovered Workloads in a host project per location.
service_project_id: The Service Project ID for the underlying infrastructure resource. This is different from the GCP project in resource_container. Each GCP project might contains multiple service projects.
quota/service_per_region_per_application/exceeded GA(project)
Registered Services quota exceeded error
DELTAINT641
apphub.googleapis.com/Application
Number of attempts to exceed the limit on quota metric apphub.googleapis.com/service_per_region_per_application. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/service_per_region_per_application/limit GA(project)
Registered Services quota limit
GAUGEINT641
apphub.googleapis.com/Application
Current limit on quota metric apphub.googleapis.com/service_per_region_per_application. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/service_per_region_per_application/usage GA(project)
Registered Services quota usage
GAUGEINT641
apphub.googleapis.com/Application
Current usage on quota metric apphub.googleapis.com/service_per_region_per_application. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/workload_per_region_per_application/exceeded GA(project)
Registered Workloads quota exceeded error
DELTAINT641
apphub.googleapis.com/Application
Number of attempts to exceed the limit on quota metric apphub.googleapis.com/workload_per_region_per_application. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/workload_per_region_per_application/limit GA(project)
Registered Workloads quota limit
GAUGEINT641
apphub.googleapis.com/Application
Current limit on quota metric apphub.googleapis.com/workload_per_region_per_application. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/workload_per_region_per_application/usage GA(project)
Registered Workloads quota usage
GAUGEINT641
apphub.googleapis.com/Application
Current usage on quota metric apphub.googleapis.com/workload_per_region_per_application. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.

artifactregistry

Metrics from Artifact Registry. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with artifactregistry.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
project/api/request_count GA(project)
Control plane API request count per project
DELTAINT641
artifactregistry.googleapis.com/Project
Request count for all requests sent to Artifact Registry control plane API for the current project.
method: The name of the called control plane API. For the list of available APIs see https://cloud.google.com/artifact-registry/docs/audit-logging#api-interface-reference.
version: The version of the called control plane API.
response_code: The HTTP response code of the request.
status: The status of the request.
project/api/request_latencies GA(project)
Control plane API request latency per project
DELTADISTRIBUTIONus
artifactregistry.googleapis.com/Project
The latency distribution for the requests sent to Artifact Registry control plane API for the current project in microseconds. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: The name of the called control plane API. For the list of available APIs see https://cloud.google.com/artifact-registry/docs/audit-logging#api-interface-reference.
version: The version of the called control plane API.
response_code: The HTTP response code of the request.
status: The status of the request.
project/request_count GA(project)
Data plane API request count per project
DELTAINT641
artifactregistry.googleapis.com/Project
Request count for all requests sent to Artifact Registry data plane API for the current project. For example requests made by Docker, Maven, Pip, Twine, or Gradle tools are data plane requests.
method: The name of the called data plane API. For the list of available APIs see https://cloud.google.com/artifact-registry/docs/audit-logging#Data%20plane%20API.
type: The type of the called API: PREAMPLE, READ or WRITE.
response_code: The HTTP response code of the request.
status: The status of the request.
project/request_latencies GA(project)
Data plane API request latency per project
DELTADISTRIBUTIONus
artifactregistry.googleapis.com/Project
The latency distribution for the requests sent to Artifact Registry data plane API for the current project in microseconds. For example requests made by Docker, Maven, Pip, Twine, or Gradle tools are data plane requests. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: The name of the called data plane API. For the list of available APIs see https://cloud.google.com/artifact-registry/docs/audit-logging#Data%20plane%20API.
type: The type of the called API: PREAMPLE, READ or WRITE.
response_code: The HTTP response code of the request.
status: The status of the request.
quota/asia_multi_region_upstream_host_reads/exceeded GA(project)
Read requests to external upstream hosts per organization per host in the Asia multi-region quota exceeded error
DELTAINT641
artifactregistry.googleapis.com/Location
Number of attempts to exceed the limit on quota metric artifactregistry.googleapis.com/asia_multi_region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/asia_multi_region_upstream_host_reads/limit GA(project)
Read requests to external upstream hosts per organization per host in the Asia multi-region quota limit
GAUGEINT641
artifactregistry.googleapis.com/Location
Current limit on quota metric artifactregistry.googleapis.com/asia_multi_region_upstream_host_reads. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/asia_multi_region_upstream_host_reads/usage GA(project)
Read requests to external upstream hosts per organization per host in the Asia multi-region quota usage
DELTAINT641
artifactregistry.googleapis.com/Location
Current usage on quota metric artifactregistry.googleapis.com/asia_multi_region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
host: External upstream host label.
quota/europe_multi_region_upstream_host_reads/exceeded GA(project)
Read requests to external upstream hosts per organization per host in the Europe multi-region quota exceeded error
DELTAINT641
artifactregistry.googleapis.com/Location
Number of attempts to exceed the limit on quota metric artifactregistry.googleapis.com/europe_multi_region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/europe_multi_region_upstream_host_reads/limit GA(project)
Read requests to external upstream hosts per organization per host in the Europe multi-region quota limit
GAUGEINT641
artifactregistry.googleapis.com/Location
Current limit on quota metric artifactregistry.googleapis.com/europe_multi_region_upstream_host_reads. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/europe_multi_region_upstream_host_reads/usage GA(project)
Read requests to external upstream hosts per organization per host in the Europe multi-region quota usage
DELTAINT641
artifactregistry.googleapis.com/Location
Current usage on quota metric artifactregistry.googleapis.com/europe_multi_region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
host: External upstream host label.
quota/project_asia_multi_region_upstream_host_reads/exceeded GA(project)
Read requests to external upstream hosts per project per host in the Asia multi-region quota exceeded error
DELTAINT641
artifactregistry.googleapis.com/Location
Number of attempts to exceed the limit on quota metric artifactregistry.googleapis.com/project_asia_multi_region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/project_asia_multi_region_upstream_host_reads/limit GA(project)
Read requests to external upstream hosts per project per host in the Asia multi-region quota limit
GAUGEINT641
artifactregistry.googleapis.com/Location
Current limit on quota metric artifactregistry.googleapis.com/project_asia_multi_region_upstream_host_reads. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/project_asia_multi_region_upstream_host_reads/usage GA(project)
Read requests to external upstream hosts per project per host in the Asia multi-region quota usage
DELTAINT641
artifactregistry.googleapis.com/Location
Current usage on quota metric artifactregistry.googleapis.com/project_asia_multi_region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
host: External upstream host label.
quota/project_europe_multi_region_upstream_host_reads/exceeded GA(project)
Read requests to external upstream hosts per project per host in the Europe multi-region quota exceeded error
DELTAINT641
artifactregistry.googleapis.com/Location
Number of attempts to exceed the limit on quota metric artifactregistry.googleapis.com/project_europe_multi_region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/project_europe_multi_region_upstream_host_reads/limit GA(project)
Read requests to external upstream hosts per project per host in the Europe multi-region quota limit
GAUGEINT641
artifactregistry.googleapis.com/Location
Current limit on quota metric artifactregistry.googleapis.com/project_europe_multi_region_upstream_host_reads. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/project_europe_multi_region_upstream_host_reads/usage GA(project)
Read requests to external upstream hosts per project per host in the Europe multi-region quota usage
DELTAINT641
artifactregistry.googleapis.com/Location
Current usage on quota metric artifactregistry.googleapis.com/project_europe_multi_region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
host: External upstream host label.
quota/project_region_upstream_host_reads/exceeded GA(project)
Read requests to external upstream hosts per project per region per host quota exceeded error
DELTAINT641
artifactregistry.googleapis.com/Location
Number of attempts to exceed the limit on quota metric artifactregistry.googleapis.com/project_region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/project_region_upstream_host_reads/limit GA(project)
Read requests to external upstream hosts per project per region per host quota limit
GAUGEINT641
artifactregistry.googleapis.com/Location
Current limit on quota metric artifactregistry.googleapis.com/project_region_upstream_host_reads. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/project_region_upstream_host_reads/usage GA(project)
Read requests to external upstream hosts per project per region per host quota usage
DELTAINT641
artifactregistry.googleapis.com/Location
Current usage on quota metric artifactregistry.googleapis.com/project_region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
host: External upstream host label.
quota/project_us_multi_region_upstream_host_reads/exceeded GA(project)
Read requests to external upstream hosts per project per host in the US multi-region quota exceeded error
DELTAINT641
artifactregistry.googleapis.com/Location
Number of attempts to exceed the limit on quota metric artifactregistry.googleapis.com/project_us_multi_region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/project_us_multi_region_upstream_host_reads/limit GA(project)
Read requests to external upstream hosts per project per host in the US multi-region quota limit
GAUGEINT641
artifactregistry.googleapis.com/Location
Current limit on quota metric artifactregistry.googleapis.com/project_us_multi_region_upstream_host_reads. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/project_us_multi_region_upstream_host_reads/usage GA(project)
Read requests to external upstream hosts per project per host in the US multi-region quota usage
DELTAINT641
artifactregistry.googleapis.com/Location
Current usage on quota metric artifactregistry.googleapis.com/project_us_multi_region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
host: External upstream host label.
quota/region_upstream_host_reads/exceeded GA(project)
Read requests to external upstream hosts per organization per region per host quota exceeded error
DELTAINT641
artifactregistry.googleapis.com/Location
Number of attempts to exceed the limit on quota metric artifactregistry.googleapis.com/region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/region_upstream_host_reads/limit GA(project)
Read requests to external upstream hosts per organization per region per host quota limit
GAUGEINT641
artifactregistry.googleapis.com/Location
Current limit on quota metric artifactregistry.googleapis.com/region_upstream_host_reads. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/region_upstream_host_reads/usage GA(project)
Read requests to external upstream hosts per organization per region per host quota usage
DELTAINT641
artifactregistry.googleapis.com/Location
Current usage on quota metric artifactregistry.googleapis.com/region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
host: External upstream host label.
quota/us_multi_region_upstream_host_reads/exceeded GA(project)
Read requests to external upstream hosts per organization per host in the US multi-region quota exceeded error
DELTAINT641
artifactregistry.googleapis.com/Location
Number of attempts to exceed the limit on quota metric artifactregistry.googleapis.com/us_multi_region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/us_multi_region_upstream_host_reads/limit GA(project)
Read requests to external upstream hosts per organization per host in the US multi-region quota limit
GAUGEINT641
artifactregistry.googleapis.com/Location
Current limit on quota metric artifactregistry.googleapis.com/us_multi_region_upstream_host_reads. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
host: External upstream host label.
quota/us_multi_region_upstream_host_reads/usage GA(project)
Read requests to external upstream hosts per organization per host in the US multi-region quota usage
DELTAINT641
artifactregistry.googleapis.com/Location
Current usage on quota metric artifactregistry.googleapis.com/us_multi_region_upstream_host_reads. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
host: External upstream host label.
repository/api/request_count GA(project)
Control plane API request count per repository
DELTAINT641
artifactregistry.googleapis.com/Repository
Request count for all requests sent to Artifact Registry control plane API for a repository.
method: The name of the called control plane API. For the list of available APIs see https://cloud.google.com/artifact-registry/docs/audit-logging#api-interface-reference.
version: The version of the called control plane API.
response_code: The HTTP response code of the request.
status: The status of the request.
repository/api/request_latencies GA(project)
Control plane API request latency per repository
DELTADISTRIBUTIONus
artifactregistry.googleapis.com/Repository
The latency distribution for the requests sent to Artifact Registry control plane API for a repository in microseconds. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: The name of the called control plane API. For the list of available APIs see https://cloud.google.com/artifact-registry/docs/audit-logging#api-interface-reference.
version: The version of the called control plane API.
response_code: The HTTP response code of the request.
status: The status of the request.
repository/request_count GA(project)
Data plane API request count per repository
DELTAINT641
artifactregistry.googleapis.com/Repository
Request count for all requests sent to Artifact Registry control data API for a repository. For example requests made by Docker, Maven, Pip, Twine, or Gradle tools are data plane requests.
method: The name of the called data plane API. For the list of available APIs see https://cloud.google.com/artifact-registry/docs/audit-logging#Data%20plane%20API.
type: The type of the called API: PREAMPLE, READ or WRITE.
response_code: The HTTP response code of the request.
status: The status of the request.
repository/request_latencies GA(project)
Data plane API request latency per repository
DELTADISTRIBUTIONus
artifactregistry.googleapis.com/Repository
The latency distribution for the requests sent to Artifact Registry data plane API for a repository in microseconds. For example requests made by Docker, Maven, Pip, Twine, or Gradle tools are data plane requests. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: The name of the called data plane API. For the list of available APIs see https://cloud.google.com/artifact-registry/docs/audit-logging#Data%20plane%20API.
type: The type of the called API: PREAMPLE, READ or WRITE.
response_code: The HTTP response code of the request.
status: The status of the request.
repository/size GA(project)
Repository size
GAUGEINT64By
artifactregistry.googleapis.com/Repository
The size of the repository in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.

autoscaler

Metrics from Compute Engine Autoscaler. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with autoscaler.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
capacity BETA(project)
Serving capacity
GAUGEDOUBLE1
autoscaler
Utilization target multiplied by number of serving VMs. Sampled every 30 seconds. After sampling, data is not visible for up to 180 seconds.
metric_type: Name of the resource the autoscaling is based on - "cpu", "load balancing" or full metric name in domain-and-path format if scaling is based on Cloud Monitoring metric.
current_utilization BETA(project)
Current Autoscaler utilization
GAUGEDOUBLE1
autoscaler
The sum of the utilization of a specified metric for all serving VMs. Sampled every 30 seconds. After sampling, data is not visible for up to 180 seconds.
metric_type: Name of the resource the autoscaling is based on - "cpu", "load balancing" or full metric name in domain-and-path format if scaling is based on Cloud Monitoring metric.
scheduled_size BETA(project)
Scheduled size
GAUGEINT641
autoscaler
The minimum number of VMs that the autoscaler recommends according to the scaling schedule. Sampled every 30 seconds. After sampling, data is not visible for up to 180 seconds.
schedule_name: Name of the scaling schedule.

backupdr

Metrics from Backup and DR Service. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with backupdr.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
backup_recovery_appliance/storage_pool/utilization BETA(project)
Backup/Recovery storage pool utilization
GAUGEDOUBLE%
backupdr.googleapis.com/ManagementConsole
Represents the utilization of backup/recovery appliance storage pools.
pool_name: Name of the storage pool. E.g. [act_pri_pool000].
pool_usage: State of storage_pool, one of [free, used].
pool_type: Type of storage_pool, one of [Snapshot, Primary].
backup_recovery_appliance_name: Backup recovery appliance name.
backup_recovery_appliance/v_disk_count/utilization BETA(project)
Backup/Recovery appliance vDisk utilization
GAUGEDOUBLE%
backupdr.googleapis.com/ManagementConsole
Represents the vDisk pool utilization for a backup/recovery appliance.
v_disk_usage: State of v_disk_count, one of [free, used, leaked].
backup_recovery_appliance_name: The Backup recovery appliance Name.
jobs/job_trend BETA(project)
Job Trend
GAUGEINT641
backupdr.googleapis.com/ManagementConsole
Represents Backup/Recovery job count categorized by job status.
job_status: Status of job, one of [successful, canceled, failed, Not Run, SuccessfulWithWarnings].
job_type: Type of job, E.g. [Snapshot, Expiration, Mount].
resource_type: Type of application associated E.g. [GCPInstance, FileSystem, SQLInstance].
backup_recovery_appliance_name: The Backup recovery appliance Name.
onvault_pools/utilization BETA(project)
OnVault pool usage
GAUGEINT64By
backupdr.googleapis.com/ManagementConsole
Represents the usages of vault pools.
pool_name: Name of the storage pool. E.g [act_pri_pool000].
backup_recovery_appliance_name: The Backup recovery appliance Name.
protected_data/resources BETA(project)
Protected resources count
GAUGEINT641
backupdr.googleapis.com/ManagementConsole
Represents the number of protected resources by resource type.
resource_type: Type of resource associated E.g. [GCPInstance, FileSystem, SQLInstance].
protected_data/volume BETA(project)
Protected data volume
GAUGEINT64By
backupdr.googleapis.com/ManagementConsole
Represents the size of data(in bytes) protected by resource type.
resource_type: Type of resource associated E.g. [GCPInstance, FileSystem, SQLInstance].
backup_recovery_appliance_name: The Backup recovery appliance Name.

baremetalsolution

Metrics from Bare Metal Solution Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with baremetalsolution.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
instance/ethernet_fabric/port_bytes_count BETA(project)
Forwarded Bytes Count
CUMULATIVEINT64By
baremetalsolution.googleapis.com/Instance
Number of bytes forwarded through a physical interface on the ethernet fabric.
direction: Direction of bytes, one of [SERVER_IN, SERVER_OUT].
logical_port: Name of the logical port.
physical_port: Name of the physical port.
lun/avg_latency BETA(project)
Avg latency of operations
GAUGEINT64us
baremetalsolution.googleapis.com/Lun
The average latency of I/O operations.
direction: Direction of operations, one of [READ, WRITE, TOTAL].
lun/bytes_count BETA(project)
Bytes count
CUMULATIVEINT64By
baremetalsolution.googleapis.com/Lun
Number of bytes written or read, cumulative.
direction: Direction of bytes, one of [READ, WRITE].
lun/operation_count BETA(project)
Operation count
CUMULATIVEINT641
baremetalsolution.googleapis.com/Lun
Number of operations performed, cumulative.
direction: Direction of operations, one of [READ, WRITE].
lun/size BETA(project)
Lun size in bytes.
GAUGEINT64By
baremetalsolution.googleapis.com/Lun
Space allocated to the lun.
type: Type, one of [AVAILABLE,USED].
volume/avg_latency BETA(project)
Avg latency of operations
GAUGEINT64us
baremetalsolution.googleapis.com/Volume
The average latency of I/O operations.
direction: Direction of operations, one of [READ, WRITE, TOTAL].
volume/bytes_count BETA(project)
Bytes count
CUMULATIVEINT64By
baremetalsolution.googleapis.com/Volume
Number of bytes written or read, cumulative.
direction: Direction of bytes, one of [READ, WRITE].
volume/operation_count BETA(project)
Operation count
CUMULATIVEINT641
baremetalsolution.googleapis.com/Volume
Number of operations performed, cumulative.
direction: Direction of operations, one of [READ, WRITE].
volume/size BETA(project)
Volume size in bytes
GAUGEINT64By
baremetalsolution.googleapis.com/Volume
Space allocated to the volume.
type: Type, one of [AVAILABLE,USED].

bigquery

Metrics from BigQuery.

Launch stages of these metrics: BETA EARLY_ACCESS GA

The "metric type" strings in this table must be prefixed with bigquery.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
job/num_in_flight GA(project)
Job count
GAUGEINT641
bigquery_project
In flight jobs. Sampled every 60 seconds. After sampling, data is not visible for up to 720 seconds.
priority: Job priority (batch or interactive).
job_type: Job type.
state: Job state.
query/biengine_fallback_count GA(project)
BI Engine query fallback count
DELTAINT641
bigquery_project
The reasons that queries failed BI Engine execution. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
reason: BI Engine fallback reasons.
query/count GA(project)
Query count
GAUGEINT641
bigquery_project
global
In flight queries. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
priority: Query priority (batch or interactive).
query/execution_count GA(project)
Query execution count
DELTAINT641
bigquery_project
The number of queries executed. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
priority: Query priority (batch or interactive).
caching_mode: Query caching mode (BI Engine, etc).
query/execution_times GA(project)
Query execution times
GAUGEDISTRIBUTIONs
bigquery_project
global
Distribution of execution times for queries that completed successfully within the last sampling interval. Incomplete and failed queries are not included. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
priority: Query priority (batch or interactive).
query/scanned_bytes GA(project)
Scanned bytes
DELTAINT64By
global
Scanned bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 21720 seconds.
priority: Query priority (batch or interactive).
query/scanned_bytes_billed GA(project)
Scanned bytes billed
DELTAINT64By
global
Scanned bytes billed. Sampled every 60 seconds. After sampling, data is not visible for up to 21720 seconds.
priority: Query priority (batch or interactive).
query/statement_scanned_bytes BETA(project)
Statement scanned bytes
DELTAINT64By
bigquery_project
Scanned bytes broken down by statement type. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
priority: Query priority (batch or interactive).
statement_type: Query statement type (SELECT, CREATE_MODEL ...).
query/statement_scanned_bytes_billed BETA(project)
Statement scanned bytes billed
DELTAINT64By
bigquery_project
Scanned bytes billed broken down by statement type. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
priority: Query priority (batch or interactive).
statement_type: Query statement type (SELECT, CREATE_MODEL ...).
slots/allocated GA(project)
Slots used by project, reservation, and job type
GAUGEINT641
bigquery_project
global
Number of BigQuery slots currently allocated for project. Slot allocation can be broken down based on reservation and job type. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
reservation: Reservation. This field is unset if the query is on-demand.
job_type: Job type.
slots/allocated_for_project GA(project)
Slots used by project
GAUGEINT641
global
Number of BigQuery slots currently allocated for query jobs in the project. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
slots/allocated_for_project_and_job_type GA(project)
Slots used by project and job type
GAUGEINT641
global
Number of BigQuery slots currently allocated for the project and job type. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
job_type: Job type.
slots/allocated_for_reservation GA(project)
Slots used by project in reservation
GAUGEINT641
global
Number of BigQuery slots currently allocated for project in the reservation. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
slots/assigned EARLY_ACCESS(project)
Slots assigned
GAUGEINT641
bigquery_project
The number of slots assigned to the given project/organization. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
job_type: Job type.
reservation: Reservation.
slots/capacity_committed EARLY_ACCESS(project)
Slots capacity committed
GAUGEINT641
bigquery_project
The total slot capacity commitments purchased through this administrator project/organization. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
plan: Capacity commitment plan.
slots/max_assigned EARLY_ACCESS(project)
Slots max assigned
GAUGEINT641
bigquery_project
The maximum number of slots assigned to the given project/organization. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
job_type: Job type.
reservation: Reservation.
slots/total_allocated_for_reservation GA(project)
Slots used across projects in reservation
GAUGEINT641
bigquery_project
global
Number of BigQuery slots currently allocated across projects in the reservation. Note that the metric data is only reported while at least one project has been assigned to the reservation and is consuming slots. As an alternative, consider querying reservations information from INFORMATION_SCHEMA (https://cloud.google.com/bigquery/docs/information-schema-reservations), which does not have these limitations. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
slots/total_available DEPRECATED(project)
Total slots
GAUGEINT641
bigquery_project
global
(Deprecated) Total number of BigQuery slots available for the project. If you are using the BigQuery Reservations API, consider using bigquery.googleapis.com/slots/assigned and bigquery.googleapis.com/slots/max_assigned instead. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
storage/insertall_inserted_bytes GA(project)
InsertAll Inserted Bytes
DELTADOUBLE1
bigquery_project
The number of bytes uploaded by the project using the InsertAll streaming API. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
storage/insertall_inserted_rows GA(project)
InsertAll Inserted Rows
DELTADOUBLE1
bigquery_project
The number of rows uploaded by the project using the InsertAll streaming API. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
storage/stored_bytes GA(project)
Stored bytes
GAUGEINT64By
bigquery_dataset
Number of bytes stored. The top 100 tables in a dataset are labeled, while the rest are grouped with no table label. Sampled every 1800 seconds. After sampling, data is not visible for up to 10800 seconds.
table: Table name.
storage/table_count GA(project)
Table count
GAUGEINT641
bigquery_dataset
Number of tables. Sampled every 1800 seconds. After sampling, data is not visible for up to 10800 seconds.
storage/uploaded_bytes GA(project)
Uploaded bytes
DELTAINT64By
bigquery_dataset
Uploaded bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 21720 seconds.
api: Api used to upload the data (batch import or streaming)
table: Table name.
storage/uploaded_bytes_billed GA(project)
Uploaded bytes billed
DELTAINT64By
bigquery_dataset
Uploaded bytes billed. Sampled every 60 seconds. After sampling, data is not visible for up to 21720 seconds.
api: Api used to upload the data (batch import or streaming). Currently only streaming api is billed.
table: Table name.
storage/uploaded_row_count GA(project)
Uploaded rows
DELTAINT641
bigquery_dataset
Uploaded rows. Sampled every 60 seconds. After sampling, data is not visible for up to 21720 seconds.
api: Api used to perform the batch import or streaming insert job. Rows added by using a query job with a `writeDisposition` of `WRITE_APPEND` are not shown.
table: Table name.

bigquerybiengine

Metrics from BigQuery BI Engine. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with bigquerybiengine.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
model/inflight_requests GA(project)
Inflight requests
GAUGEINT641
bigquery_biengine_model
Inflight requests to a BI model. Only reported without LookerStudio native BigQuery integration. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
model/request_count GA(project)
Request count
DELTAINT641
bigquery_biengine_model
BI Engine request count. Only reported without LookerStudio native BigQuery integration. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
cache_miss: (BOOL) Indicates if request was not served from memory cache. Large number of requests with this field set to true is the sign that reservation size should be increased. .
status: Completion status of the request.
execution_mode: BIEngine or BigQuery. BigQuery means that request was served using BigQuery slots rather than using BI Engine reservation. .
model/request_latencies GA(project)
Request execution times
GAUGEDISTRIBUTIONms
bigquery_biengine_model
Distribution of request execution times. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
cache_miss: (BOOL) Indicates if request was served from memory cache. Large number of requests with this field set to true is the sign that reservation size should be increased. Only reported without LookerStudio native BigQuery integration.
status: Completion status of the request.
execution_mode: BIEngine or BigQuery. BigQuery means that request was served using BigQuery slots rather than using BI Engine reservation. .
reservation/top_tables_cached_bytes GA(project)
Reservation used bytes by table
GAUGEINT64By
bigquery_project
The amount of data stored in the BI Engine cache per table for the largest tables in the cache. Sampled every 600 seconds. After sampling, data is not visible for up to 720 seconds.
project_id: Project Id.
dataset_id: Dataset Id.
table_id: Table Id.
reservation/total_bytes GA(project)
Reservation total bytes
GAUGEINT64By
bigquery_project
Size of the BI engine reservation. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
reservation/used_bytes GA(project)
Reservation used bytes
GAUGEINT64By
bigquery_project
Utilization of the BI engine reservation. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.

bigquerydatatransfer

Metrics from BigQuery Data Transfer Service. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with bigquerydatatransfer.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
transfer_config/active_runs BETA(project)
Active run count
GAUGEINT641
bigquery_dts_config
Number of transfer runs that are running or pending of the transfer configuration. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
state: Run state (RUNNING or PENDING).
run_cause: Run cause.
transfer_config/completed_runs BETA(project)
Completed run count
DELTAINT641
bigquery_dts_config
Number of completed DTS runs per transfer configuration. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
status: Run error status code.
completion_state: Run completion state.
run_cause: Run cause.
transfer_config/last_execution_job_rows BETA(project)
Last executed job row count
GAUGEINT641
bigquery_dts_config
Number of returned rows from last executed job of transfer configuration. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
run_cause: Run cause.
transfer_config/run_duration_seconds BETA(project)
Run latency distribution
DELTADISTRIBUTIONs
bigquery_dts_config
Distribution of the execution time (in seconds) of each transfer run per transfer configuration. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
run_cause: Run cause.

bigquerystorage

Metrics from the BigQuery Storage API. Launch stages of these metrics: ALPHA BETA

The "metric type" strings in this table must be prefixed with bigquerystorage.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
read/concurrent_streams ALPHA(project)
Concurrent ReadRows streams
GAUGEINT641
bigquery_project
Number of concurrent ReadRows streams. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
write/concurrent_connections BETA(project)
concurrent connection count
GAUGEINT641
bigquery_project
Concurrent connection per project for BigQuery Write API. To be consistent with concurrent connection quota, the metric is by default on the project that initiated the AppendRowsRequests (associated with the API key or the service account). Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
write/connection_results_count BETA(project)
Connection results count
DELTAINT641
bigquery_project
Total accumulation of connection results with BigQuery Write API. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
result: String representation of status code .
write/server_side_latencies BETA(project)
server side latency
DELTADISTRIBUTION1
bigquery_project
The latency distribution (in milliseconds) in BigQuery Write API frontend from receiving a AppendRowsRequest to sending a AppendRowsResponse. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
write/transcoding_latencies BETA(project)
transcoding latency
DELTADISTRIBUTION1
bigquery_project
The transcoding latency distribution (in milliseconds) in BigQuery Write API frontend. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
write/uploaded_bytes_count BETA(project)
Uploaded bytes count
DELTAINT641
bigquery_project
Total accumulation of BigQuery Write API ingested bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
result: String representation of status code .
write/uploaded_row_count BETA(project)
Uploaded rows count
DELTAINT641
bigquery_project
Total accumulation of BigQuery Write API ingested rows. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
result: String representation of status code .

bigtable

Metrics from Bigtable. Launch stages of these metrics: BETA EARLY_ACCESS GA

The "metric type" strings in this table must be prefixed with bigtable.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
backup/bytes_used GA(project)
Backup storage used.
GAUGEINT64By
bigtable_backup
Backup storage used in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
source_table: The source table of the backup.
storage_type: Type of disk storage.
client/application_blocking_latencies GA(project)
Application Blocking Latencies
DELTADISTRIBUTIONms
bigtable_table
The total latency introduced by your application when Cloud Bigtable has available response data but your application has not consumed it. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
client_name: Cloud Bigtable client name.
client/attempt_latencies GA(project)
Attempt Latencies
DELTADISTRIBUTIONms
bigtable_table
Client observed latency per RPC attempt. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
streaming: (BOOL) Cloud Bigtable streaming method.
status: Cloud Bigtable attempt status.
client_name: Cloud Bigtable client name.
client/client_blocking_latencies GA(project)
Client Blocking Latencies
DELTADISTRIBUTIONms
bigtable_table
The latency introduced by the client by blocking on sending more requests to the server when there are too many pending requests in bulk operations. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
client_name: Cloud Bigtable client name.
client/connectivity_error_count GA(project)
Connectivity Error Count
DELTAINT641
bigtable_table
Number of requests that failed to reach the Google network. (Requests without google response headers). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
status: Cloud Bigtable operation status.
client_name: Cloud Bigtable client name.
client/first_response_latencies GA(project)
First Response Latencies
DELTADISTRIBUTIONms
bigtable_table
Latency from operation start until the response headers were received. The publishing of the measurement will be delayed until the attempt response has been received. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
status: Cloud Bigtable operation status.
client_name: Cloud Bigtable client name.
client/operation_latencies GA(project)
Operation Latencies
DELTADISTRIBUTIONms
bigtable_table
Distribution of the total end-to-end latency across all RPC attempts associated with a Bigtable operation. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
streaming: (BOOL) Cloud Bigtable streaming method.
status: Cloud Bigtable operation status.
client_name: Cloud Bigtable client name.
client/retry_count GA(project)
Retry Count
DELTAINT641
bigtable_table
The number of additional RPCs sent after the initial attempt. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
status: Cloud Bigtable operation status.
client_name: Cloud Bigtable client name.
client/server_latencies GA(project)
Server Latencies
DELTADISTRIBUTIONms
bigtable_table
The latency measured between the time when Google frontend receives an RPC and sending back the first byte of the response. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
streaming: (BOOL) Cloud Bigtable streaming method.
status: Cloud Bigtable operation status.
client_name: Cloud Bigtable client name.
cluster/autoscaling/max_node_count GA(project)
Maximum nodes
GAUGEINT641
bigtable_cluster
Maximum number of nodes in an autoscaled cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
storage_type: Storage type for the cluster.
cluster/autoscaling/min_node_count GA(project)
Minimum nodes
GAUGEINT641
bigtable_cluster
Minimum number of nodes in an autoscaled cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
storage_type: Storage type for the cluster.
cluster/autoscaling/recommended_node_count_for_cpu GA(project)
Recommended nodes based on CPU
GAUGEINT641
bigtable_cluster
Recommended number of nodes in an autoscaled cluster based on CPU usage. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
cluster/autoscaling/recommended_node_count_for_storage GA(project)
Recommended nodes based on storage
GAUGEINT641
bigtable_cluster
Recommended number of nodes in an autoscaled cluster based on storage usage. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
cluster/cpu_load GA(project)
CPU load
GAUGEDOUBLE1
bigtable_cluster
CPU load of a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/cpu_load_by_app_profile_by_method_by_table GA(project)
CPU load by app profile, method, and table
GAUGEDOUBLE1
bigtable_cluster
CPU load of a cluster. Split by app profile, method, and table. Contains the same underlying data as bigtable.googleapis.com/cluster/cpu_load. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
app_profile: Cloud Bigtable application profile.
method: Cloud Bigtable API method.
table: Cloud Bigtable table name.
cluster/cpu_load_hottest_node GA(project)
CPU load (hottest node)
GAUGEDOUBLE1
bigtable_cluster
CPU load of the busiest node in a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
cluster/cpu_load_hottest_node_high_granularity GA(project)
CPU load (hottest node) high granularity
GAUGEDOUBLE1
bigtable_cluster
CPU load of the busiest node in a cluster sampled at a high granularity. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
cluster/disk_load GA(project)
Disk load
GAUGEDOUBLE1
bigtable_cluster
Utilization of HDD disks in a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
cluster/node_count GA(project)
Nodes
GAUGEINT641
bigtable_cluster
Number of nodes in a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
storage_type: Storage type for the cluster.
cluster/storage_utilization GA(project)
Storage utilization
GAUGEDOUBLE1
bigtable_cluster
Storage used as a fraction of total storage capacity. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
storage_type: Storage type for the cluster.
disk/bytes_used GA(project)
Data stored
GAUGEINT64By
bigtable_cluster
Amount of compressed data for tables stored in a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
storage_type: Type of disk storage.
disk/per_node_storage_capacity EARLY_ACCESS(project)
Storage capacity per node
GAUGEINT64By
bigtable_cluster
Capacity of compressed data for tables that can be stored per node in the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
storage_type: Storage type for the cluster.
disk/storage_capacity GA(project)
Storage capacity
GAUGEINT64By
bigtable_cluster
Capacity of compressed data for tables that can be stored in a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
storage_type: Storage type for the cluster.
replication/latency GA(project)
Replication latencies
DELTADISTRIBUTIONms
bigtable_table
Distribution of the replication latencies of mutations to a table, measured as the difference between the commit time at the source and destination clusters. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
source_cluster: Source cluster of the replicated data.
source_zone: Source zone of the replicated data.
replication/max_delay GA(project)
Replication maximum delay
GAUGEDOUBLEs
bigtable_table
Upper bound for replication delay between clusters of a table. Indicates the time frame during which latency information may not be accurate. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
source_cluster: Source cluster of the replicated data.
source_zone: Source zone of the replicated data.
server/data_boost/eligibility_count BETA(project)
Data Boost traffic eligibility count
DELTAINT641
bigtable_table
Current Bigtable requests that are eligible and ineligible for Data Boost. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
app_profile: Cloud Bigtable application profile.
eligibility: Whether request is eligible for Data Boost.
server/data_boost/ineligible_reasons BETA(project)
Data Boost traffic ineligible reasons
GAUGEINT641
bigtable_table
Reasons that current traffic is ineligible for Data Boost. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
app_profile: Cloud Bigtable application profile.
ineligible_reason: Reason that request is ineligible for Data Boost.
server/data_boost/spu_usage BETA(project)
Data Boost SPU Usage
GAUGEINT641
bigtable_table
The Serverless-Processing-Units usage (in SPU-seconds) for Data Boost requests. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
app_profile: Cloud Bigtable application profile.
method: Cloud Bigtable API method.
server/error_count GA(project)
Error count
DELTAINT641
bigtable_table
Number of server requests for a table that failed with an error. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
error_code: gRPC Error Code.
app_profile: Cloud Bigtable application profile.
server/latencies GA(project)
Server Latencies
DELTADISTRIBUTIONms
bigtable_table
Distribution of server request latencies for a table. The latency is measured between the time when Cloud Bigtable (behind the Google frontend) receives an RPC and the time when it sends back the last byte of the response. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
server/modified_rows_count GA(project)
Modified rows
DELTAINT641
bigtable_table
Number of rows modified by server requests for a table. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
server/multi_cluster_failovers_count GA(project)
Multi-cluster failovers
DELTAINT641
bigtable_table
Number of failovers during multi-cluster requests. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
server/received_bytes_count GA(project)
Received bytes
DELTAINT64By
bigtable_table
Number of bytes of request data received by servers for a table. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
server/request_count GA(project)
Request count
DELTAINT641
bigtable_table
Number of server requests for a table. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
server/request_max_per_minute_count GA(project)
Five-second maximum requests per minute
DELTAINT641
bigtable_table
Maximum number of requests received in a five-second span per minute. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
server/returned_rows_count GA(project)
Returned rows
DELTAINT641
bigtable_table
Number of rows returned by server requests for a table. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
server/sent_bytes_count GA(project)
Sent bytes
DELTAINT64By
bigtable_table
Number of bytes of response data sent by servers for a table. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
method: Cloud Bigtable API method.
app_profile: Cloud Bigtable application profile.
table/bytes_used GA(project)
Data stored
GAUGEINT64By
bigtable_table
Amount of compressed data stored in a table. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
storage_type: Type of disk storage.
table/change_stream_log_used_bytes GA(project)
Change stream data
GAUGEINT64By
bigtable_table
Amount of disk storage used by the change stream logs. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
storage_type: Type of disk storage.

billingbudgets

Metrics from the Cloud Billing. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with billingbudgets.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
quota/budget_count/exceeded GA(project)
Budget limit per billing account quota exceeded error
DELTAINT641
billingbudgets.googleapis.com/Location
Number of attempts to exceed the limit on quota metric billingbudgets.googleapis.com/budget_count. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
billing_account_id: Billing account id.
quota/budget_count/limit GA(project)
Budget limit per billing account quota limit
GAUGEINT641
billingbudgets.googleapis.com/Location
Current limit on quota metric billingbudgets.googleapis.com/budget_count. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
billing_account_id: Billing account id.
quota/budget_count/usage GA(project)
Budget limit per billing account quota usage
GAUGEINT641
billingbudgets.googleapis.com/Location
Current usage on quota metric billingbudgets.googleapis.com/budget_count. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
billing_account_id: Billing account id.

blockchainnodeengine

Metrics from the Blockchain Node Engine. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with blockchainnodeengine.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
node/active_peers BETA(project)
Peer Count
GAUGEINT641
blockchainnodeengine.googleapis.com/BlockchainNode
The number of connected peers of the node. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
node/beacon_aggregated_attestation_processing_requests_count BETA(project)
Aggregated Attestation Requests Count
DELTAINT641
blockchainnodeengine.googleapis.com/BlockchainNode
Total number of all aggregated attestations submitted for processing. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
node/beacon_aggregated_attestation_processing_successes_count BETA(project)
Aggregated Attestations Verified For Gossip
DELTAINT641
blockchainnodeengine.googleapis.com/BlockchainNode
Total number of aggregated attestations verified for gossip. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
node/beacon_attestation_processing_signature_seconds BETA(project)
Signature Verification Latencies
GAUGEDISTRIBUTION1
blockchainnodeengine.googleapis.com/BlockchainNode
Current time spent on the signature verification of attestation processing. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
node/block_height BETA(project)
Block Height
GAUGEINT641
blockchainnodeengine.googleapis.com/BlockchainNode
The block height of the node. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
node/block_timestamp BETA(project)
Block Timestamp
GAUGEINT641
blockchainnodeengine.googleapis.com/BlockchainNode
The timestamp of the most recent block. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
node/cpu/utilization BETA(project)
CPU Utilization
GAUGEDOUBLE10^2.%
blockchainnodeengine.googleapis.com/BlockchainNode
The amount of work the CPU handles to process resources. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
node/disk/total_ops_count BETA(project)
Cumulative Disk Operations
DELTAINT641
blockchainnodeengine.googleapis.com/BlockchainNode
Cumulative count of disk reads and writes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
direction: Direction of flow of bytes/operations (read or write).
node/memory/utilization BETA(project)
Memory Utilization
GAUGEDOUBLE10^2.%
blockchainnodeengine.googleapis.com/BlockchainNode
The amount of memory in use currently by running processes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
node/pending_transactions BETA(project)
Pending Transactions
GAUGEINT641
blockchainnodeengine.googleapis.com/BlockchainNode
The number of transactions available to be processed and included in the next block. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
node/total_request_count BETA(project)
Request Count
DELTAINT641
blockchainnodeengine.googleapis.com/BlockchainNode
The total number of requests received by the node. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
endpoint: RPC endpoint to which requests are sent.
node/validators_total BETA(project)
Validator Count
GAUGEINT641
blockchainnodeengine.googleapis.com/BlockchainNode
Total count of validators that are specifically monitored by this beacon node. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.

certificatemanager

Metrics from Certificate Manager. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with certificatemanager.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
map/entries GA(project)
Certificate map entries
GAUGEINT641
certificatemanager.googleapis.com/CertificateMap
Current number of map entries inside certificate map. Sampled every 60 seconds.
is_primary: Shows whether map entry is configured as primary.
project/certificates GA(project)
Certificates
GAUGEINT641
certificatemanager.googleapis.com/Project
Current number of certificates. Sampled every 60 seconds.
scope: Certificate scope, one of [DEFAULT, EDGE_CACHE].
type: Certificate type, one of [MANAGED, SELF_MANAGED].
is_active: Shows whether certificate is used in serving.

chronicle

Metrics from Google Security Operations. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with chronicle.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
agent/cpu_seconds GA(project)
Agent CPU Seconds
GAUGEINT64s
chronicle.googleapis.com/Collector
Total CPU time consumed by the Chronicle agent process in seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
agent/exporter_accepted_spans_count GA(project)
Exporter Accepted Spans Count
DELTAINT641
chronicle.googleapis.com/Collector
The number of spans accepted by the exporter. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
input_type: Indicates the name of the exporter.
agent/exporter_queue_capacity GA(project)
Exporter Queue Capacity
GAUGEINT641
chronicle.googleapis.com/Collector
Current capacity of the exporter queue. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
input_type: Indicates the name of the exporter.
agent/exporter_queue_size GA(project)
Exporter Queue Size
GAUGEINT641
chronicle.googleapis.com/Collector
Current size of the exporter queue. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
input_type: Indicates the name of the exporter.
agent/exporter_refused_spans_count GA(project)
Exporter Refused Spans Count
DELTAINT641
chronicle.googleapis.com/Collector
The number of spans refused by the exporter. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
input_type: Indicates the name of the exporter.
agent/memory_used GA(project)
Agent Memory Used
GAUGEINT64By
chronicle.googleapis.com/Collector
Memory used by the Collection agent process. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
agent/process_uptime GA(project)
Agent Process Uptime
GAUGEINT64s
chronicle.googleapis.com/Collector
The uptime of the Chronicle agent process. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
agent/processor_accepted_spans_count GA(project)
Processor Accepted Spans Count
DELTAINT641
chronicle.googleapis.com/Collector
The number of spans accepted by the processor. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
input_type: Indicates the name of the processor.
agent/processor_refused_spans_count GA(project)
Processor Refused Spans Count
DELTAINT641
chronicle.googleapis.com/Collector
The number of spans refused by the processor. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
input_type: Indicates the name of the processor.
agent/receiver_accepted_spans_count GA(project)
Receiver Accepted Spans Count
DELTAINT641
chronicle.googleapis.com/Collector
The number of spans accepted by the receiver. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
input_type: Indicates the name of the receiver.
agent/receiver_refused_spans_count GA(project)
Receiver Refused Spans Count
DELTAINT641
chronicle.googleapis.com/Collector
The number of spans refused by the receiver. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
input_type: Indicates the name of the receiver.
forwarder/buffer_used GA(project)
Buffer Used
GAUGEDOUBLE%
chronicle.googleapis.com/Collector
Percentage of buffer used by the forwarder. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
input_type: Indicates the input type used by the forwarder. (Eg: kafka, pcap, splunk, syslog etc.)
buffer_type: Indicates the buffer type of the forwarder. Eg: memory, file etc.
forwarder/container/cpu_used GA(project)
CPU Used
GAUGEDOUBLE%
chronicle.googleapis.com/Collector
Percentage of cpu used by the forwarder container. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
forwarder/container/disk_used GA(project)
Disk Used
GAUGEDOUBLE%
chronicle.googleapis.com/Collector
Percentage of disk used by the forwarder container. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
forwarder/container/memory_used GA(project)
Memory Used
GAUGEDOUBLE%
chronicle.googleapis.com/Collector
Percentage of memory used by the forwarder container. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
forwarder/last_heartbeat GA(project)
Last Heartbeat
GAUGEINT64s
chronicle.googleapis.com/Collector
Timestamp for last heartbeat of the forwarder (in seconds of UTC time since Unix epoch). Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
input_type: Indicates the input type used by the forwarder. (Eg: kafka, pcap, splunk, syslog etc.)
forwarder/log/drop_count GA(project)
Total Logs Dropped
DELTAINT641
chronicle.googleapis.com/Collector
Number of logs dropped by the forwarder. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
input_type: Indicates the input type used by the forwarder. (Eg: kafka, pcap, splunk, syslog etc.)
reason: Indicates the reason why logs were dropped by the forwarder. Eg: regex, invalid_config, backlog etc.
ingestion/log/bytes_count GA(project)
Total Ingested Log Size
DELTAINT64By
chronicle.googleapis.com/Collector
The total size of logs ingested. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
namespace: The namespace of the log.
ingestion/log/quota_rejected_bytes_count GA(project)
Total Quota Rejected Log Size
DELTAINT64By
chronicle.googleapis.com/Collector
The total size of logs rejected due to insufficient quota. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
namespace: The namespace of the log.
quota_type: The type of quota (SHORT_TERM_DATA_RATE/LONG_TERM_DAILY_LIMIT).
ingestion/log/record_count GA(project)
Total Ingested Log Count
DELTAINT641
chronicle.googleapis.com/Collector
The total number of logs ingested. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
namespace: The namespace of the log.
ingestion_source: The source from where the log was ingested.
ingestion/quota_limit GA(project)
Quota Limit
GAUGEINT64By
chronicle.googleapis.com/Collector
Quota limits for the customer. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
quota_type: The type of quota (SHORT_TERM/LONG_TERM).
normalizer/event/record_count GA(project)
Total Event Count (Parsing)
DELTAINT641
chronicle.googleapis.com/Collector
The total number of events generated after parsing. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
state: Indicates the final state for a log/event. Eg: failed_validation, validated etc.
event_type: The event type determines which fields are included with the event. The event type includes values such as PROCESS_OPEN, FILE_CREATION, USER_CREATION, NETWORK_DNS.
normalizer/log/record_count GA(project)
Total Log Count (Parsing)
DELTAINT641
chronicle.googleapis.com/Collector
The total number of log entries received for parsing. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
state: If the log was parsed or failed parsing.
drop_reason: Reason for the log to be dropped when it fails parsing.
outofband/log/bytes_count GA(project)
Total Ingested Log Size (Feeds)
DELTAINT64By
chronicle.googleapis.com/LogType
The total size of logs ingested for feeds created using Feed management API. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
feed_name: The name of the feed.
outofband/log/record_count GA(project)
Total Ingested Log Count (Feeds)
DELTAINT641
chronicle.googleapis.com/LogType
The total number of logs ingested for feeds created using Feed management API. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
feed_name: The name of the feed.

cloudaicompanion

Metrics from Gemini. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with cloudaicompanion.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
usage/response_count BETA(project)
Response count
DELTAINT64{request}
cloudaicompanion.googleapis.com/Instance
Number of responses sent from a Gemini for Google Cloud service. Some responses, particularly duplicates, may be hidden from the user for usability.
method: The backend service method that received or generated this message, one of [GenerateChat, GenerateCode, CompleteTask, GenerateText].
client_name: Gemini Client, for example, VSCODE.
programming_language: The programming language of the request, for example, Python.
product: The product that the request is associated with, for example, CODEASSIST, DATABASE.
usage/responses/daily_active_users BETA(project)
Daily Active User Responses
GAUGEINT64{user}
cloudaicompanion.googleapis.com/Instance
Daily active users, defined as users who have been sent a response from a Gemini for Google Cloud service. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
usage/responses/seven_day_active_users BETA(project)
Seven day Active User Responses
GAUGEINT64{user}
cloudaicompanion.googleapis.com/Instance
Seven day active users, defined as users who have been sent a response from a Gemini for Google Cloud service. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
usage/responses/twenty_eight_day_active_users BETA(project)
Twenty-eight day Active User Responses
GAUGEINT64{user}
cloudaicompanion.googleapis.com/Instance
Twenty-eight day active users, defined as users who have been sent a response from a Gemini for Google Cloud service. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.

cloudbuild

Metrics from Cloud Build. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with cloudbuild.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
quota/concurrent_public_pool_build_cpus/exceeded GA(project)
Concurrent Build CPUs (Regional Default Pool) quota exceeded error
DELTAINT641
cloudbuild.googleapis.com/Location
Number of attempts to exceed the limit on quota metric cloudbuild.googleapis.com/concurrent_public_pool_build_cpus. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
build_origin: The source on which the build was submitted (e.g. platform such as Cloud Functions).
quota/concurrent_public_pool_build_cpus/limit GA(project)
Concurrent Build CPUs (Regional Default Pool) quota limit
GAUGEINT641{CPU}
cloudbuild.googleapis.com/Location
Current limit on quota metric cloudbuild.googleapis.com/concurrent_public_pool_build_cpus. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
build_origin: The source on which the build was submitted (e.g. platform such as Cloud Functions).
quota/concurrent_public_pool_build_cpus/usage GA(project)
Concurrent Build CPUs (Regional Default Pool) quota usage
GAUGEINT641{CPU}
cloudbuild.googleapis.com/Location
Current usage on quota metric cloudbuild.googleapis.com/concurrent_public_pool_build_cpus. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
build_origin: The source on which the build was submitted (e.g. platform such as Cloud Functions).

clouddeploy

Metrics from Cloud Deploy. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with clouddeploy.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
quota/deployment_time/exceeded GA(project)
Deployment Time quota exceeded error
DELTAINT641
clouddeploy.googleapis.com/DeliveryPipeline
Number of attempts to exceed the limit on quota metric clouddeploy.googleapis.com/deployment_time. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/deployment_time/limit GA(project)
Deployment Time quota limit
GAUGEINT64s
clouddeploy.googleapis.com/DeliveryPipeline
Current limit on quota metric clouddeploy.googleapis.com/deployment_time. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/deployment_time/usage GA(project)
Deployment Time quota usage
DELTAINT64s
clouddeploy.googleapis.com/DeliveryPipeline
Current usage on quota metric clouddeploy.googleapis.com/deployment_time. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.

cloudfunctions

Metrics from Cloud Run functions. Launch stages of these metrics: ALPHA BETA GA

The "metric type" strings in this table must be prefixed with cloudfunctions.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
function/active_instances BETA(project)
Active instances
GAUGEINT641
cloud_function
The number of active function instances. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
function/execution_count GA(project)
Executions
DELTAINT641
cloud_function
Count of function executions broken down by status. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
memory: Memory assigned to function in MB.
status: Execution status of the function: 'ok', 'timeout', 'error', 'crash', 'out of memory', 'out of quota', 'load error', 'load timeout', 'connection error', 'invalid header', 'request too large', 'system error', 'response error', 'invalid message'.
trigger_type: Function's trigger type.
function/execution_times GA(project)
Execution times
DELTADISTRIBUTIONns
cloud_function
Distribution of functions execution times in nanoseconds. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
memory: Memory assigned to function in MB.
status: Execution status of the function: 'ok', 'timeout', 'error', 'crash', 'out of memory', 'out of quota', 'load error', 'load timeout', 'connection error', 'invalid header', 'request too large', 'system error', 'response error', 'invalid message'.
trigger_type: Function's trigger type.
function/instance_count GA(project)
Instance Count
GAUGEINT641
cloud_function
The number of function instances, broken down by state. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
state: Whether a container is "active" or "idle".
function/network_egress GA(project)
Network egress
DELTAINT64By
cloud_function
Outgoing network traffic of function, in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
memory: Memory assigned to function in MB.
trigger_type: Function's trigger type.
function/user_memory_bytes GA(project)
Memory usage
DELTADISTRIBUTIONBy
cloud_function
Distribution of maximum function's memory usage during execution, in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
memory: Memory assigned to function in MB.
trigger_type: Function's trigger type.
pending_queue/pending_requests ALPHA(project)
Pending Requests
GAUGEINT641
cloud_function
Number of pending requests. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
memory: Memory assigned to function in MB.
trigger_type: Function's trigger type.

cloudkms

Metrics from Cloud Key Management Service. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with cloudkms.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
ekm/external/request_count GA(project)
Requests to the EKM service
DELTAINT641
cloudkms.googleapis.com/Project
Requests to the External Key Manager service since the last sample.
ekm_service_region: The Google Cloud region from which latency to the EKM is measured, for example, "us-east1". For Cloud KMS keys in a multi-region location, latency is measured separately for each region in the multi-region.
method: The name of the RPC method on the EKM, such as "wrap" and "unwrap".
final: (BOOL) Indicates whether this is the last request to the EKM for a given Cloud KMS request.
response_code: (INT64) HTTP response status code from the EKM service. Invalid status codes (>599 or <100) are set to -1. Non-HTTP errors, for example, DNS errors are set to 0.
status: Cloud EKM response status that supplements the "response_code". For example, if the EKM fails to return an HTTP response, then "response_code" is 0 and the "status" indicates whether the cause is a timeout, DNS or TLS issue, etc. "OK" indicates a successful response from the EKM.
ekm/external/request_latencies GA(project)
Latencies to the EKM service
DELTADISTRIBUTIONms
cloudkms.googleapis.com/Project
Distribution of latencies to the External Key Manager service, in milliseconds.
ekm_service_region: The Google Cloud region from which latency to the EKM is measured, for example, "us-east1". For Cloud KMS keys in a multi-region location, latency is measured separately for each region in the multi-region.
method: The name of the RPC method on the EKM, such as "wrap" and "unwrap".
final: (BOOL) Indicates whether this is the last request to the EKM for a given Cloud KMS request.
peak_qps GA(project)
Peak crypto ops
GAUGEINT641
cloudkms.googleapis.com/Project
The project's maximum per-second crypto request count. The period must be one minute or longer. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
crypto_op: Type of cryptographic operation of the request, corresponding to the KMS quotas.
quota/external_kms_multiregion_requests/exceeded GA(project)
External KMS cryptographic requests Multiregions quota exceeded error
DELTAINT641
cloudkms.googleapis.com/Project
Number of attempts to exceed the limit on quota metric cloudkms.googleapis.com/external_kms_multiregion_requests. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
multiregion: The region the quota applies to, only dual or multiregions.
quota/external_kms_multiregion_requests/limit GA(project)
External KMS cryptographic requests Multiregions quota limit
GAUGEINT641
cloudkms.googleapis.com/Project
Current limit on quota metric cloudkms.googleapis.com/external_kms_multiregion_requests. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
multiregion: The region the quota applies to, only dual or multiregions.
quota/external_kms_multiregion_requests/usage GA(project)
External KMS cryptographic requests Multiregions quota usage
DELTAINT641
cloudkms.googleapis.com/Project
Current usage on quota metric cloudkms.googleapis.com/external_kms_multiregion_requests. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
multiregion: The region the quota applies to, only dual or multiregions.
quota/hsm_multiregion_asymmetric_requests/exceeded GA(project)
HSM asymmetric cryptographic requests Multiregions quota exceeded error
DELTAINT641
cloudkms.googleapis.com/Project
Number of attempts to exceed the limit on quota metric cloudkms.googleapis.com/hsm_multiregion_asymmetric_requests. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
multiregion: The region the quota applies to, only dual or multiregions.
quota/hsm_multiregion_asymmetric_requests/limit GA(project)
HSM asymmetric cryptographic requests Multiregions quota limit
GAUGEINT641
cloudkms.googleapis.com/Project
Current limit on quota metric cloudkms.googleapis.com/hsm_multiregion_asymmetric_requests. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
multiregion: The region the quota applies to, only dual or multiregions.
quota/hsm_multiregion_asymmetric_requests/usage GA(project)
HSM asymmetric cryptographic requests Multiregions quota usage
DELTAINT641
cloudkms.googleapis.com/Project
Current usage on quota metric cloudkms.googleapis.com/hsm_multiregion_asymmetric_requests. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
multiregion: The region the quota applies to, only dual or multiregions.
quota/hsm_multiregion_symmetric_requests/exceeded GA(project)
HSM symmetric cryptographic requests Multiregions quota exceeded error
DELTAINT641
cloudkms.googleapis.com/Project
Number of attempts to exceed the limit on quota metric cloudkms.googleapis.com/hsm_multiregion_symmetric_requests. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
multiregion: The region the quota applies to, only dual or multiregions.
quota/hsm_multiregion_symmetric_requests/limit GA(project)
HSM symmetric cryptographic requests Multiregions quota limit
GAUGEINT641
cloudkms.googleapis.com/Project
Current limit on quota metric cloudkms.googleapis.com/hsm_multiregion_symmetric_requests. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
multiregion: The region the quota applies to, only dual or multiregions.
quota/hsm_multiregion_symmetric_requests/usage GA(project)
HSM symmetric cryptographic requests Multiregions quota usage
DELTAINT641
cloudkms.googleapis.com/Project
Current usage on quota metric cloudkms.googleapis.com/hsm_multiregion_symmetric_requests. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
multiregion: The region the quota applies to, only dual or multiregions.

cloudsql

Metrics from Cloud SQL. Launch stages of these metrics: ALPHA BETA GA

The "metric type" strings in this table must be prefixed with cloudsql.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
database/active_directory/domain_reachable ALPHA(project)
Active Directory domain reachable
GAUGEBOOL
cloudsql_database
Indicates whether the instance is able to ping a domain controller from the connected Managed Active Directory domain. If false, Windows Authentication may not work as expected. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/active_directory/instance_available ALPHA(project)
Windows Authentication available
GAUGEBOOL
cloudsql_database
Indicates whether the instance is currently available using Windows Authentication. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/auto_failover_request_count GA(project)
Auto-failover Requests
DELTAINT641
cloudsql_database
Delta of number of instance auto-failover requests. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/available_for_failover GA(project)
Available for failover
GAUGEINT641
cloudsql_database
This is > 0 if the failover operation is available on the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/cpu/reserved_cores GA(project)
CPU reserved cores
GAUGEDOUBLE1
cloudsql_database
Number of cores reserved for the database. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/cpu/usage_time GA(project)
CPU usage
DELTADOUBLEs{CPU}
cloudsql_database
Cumulative CPU usage time in seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/cpu/utilization GA(project)
CPU utilization
GAUGEDOUBLE10^2.%
cloudsql_database
Current CPU utilization represented as a percentage of the reserved CPU that is currently in use. Values are typically numbers between 0.0 and 1.0 (but might exceed 1.0). Charts display the values as a percentage between 0% and 100% (or more). Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/data_cache/bytes_used GA(project)
Data cache used
GAUGEINT64By
cloudsql_database
Data cache usage in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/data_cache/quota GA(project)
Data cache quota
GAUGEINT64By
cloudsql_database
Maximum data cache size in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/disk/bytes_used GA(project)
Bytes used
GAUGEINT64By
cloudsql_database
Data utilization in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/disk/bytes_used_by_data_type BETA(project)
Bytes used
GAUGEINT64By
cloudsql_database
Data utilization in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
data_type: A breakdown of instance disk usage per data_type, for example, 'data', 'tmp_data' or 'slow_log'.
database/disk/quota GA(project)
Disk quota
GAUGEINT64By
cloudsql_database
Maximum data disk size in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/disk/read_ops_count GA(project)
Disk read IO
DELTAINT641
cloudsql_database
Delta count of data disk read IO operations. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/disk/utilization GA(project)
Disk utilization
GAUGEDOUBLE1
cloudsql_database
The fraction of the disk quota that is currently in use. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/disk/write_ops_count GA(project)
Disk write IO
DELTAINT641
cloudsql_database
Delta count of data disk write IO operations. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/instance_state GA(project)
Instance state
GAUGEBOOL
cloudsql_database
The current serving state of the Cloud SQL instance. Because there are seven possible states, seven data points are returned. Each of them has a different field value representing each state. Only the one that matches the current state of the instance is TRUE. All the others are FALSE. The state can be one of the following: RUNNING: The instance is running, or is ready to run when accessed. SUSPENDED: The instance is not available, for example due to problems with billing. RUNNABLE: The instance has been stopped by owner. It is not currently running, but it's ready to be restarted. PENDING_CREATE: The instance is being created. MAINTENANCE: The instance is down for maintenance. FAILED: The instance creation failed. UNKNOWN_STATE: The state of the instance is unknown. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
state: The state of the instance.
database/memory/components BETA(project)
Memory components
GAUGEDOUBLE1
cloudsql_database
Memory stats components in percentage as usage, cache and free memory for the database. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
component: Name of the component, one of [usage, cache and free].
database/memory/quota GA(project)
Memory quota
GAUGEINT64By
cloudsql_database
Maximum RAM size in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/memory/total_usage GA(project)
Total memory usage
GAUGEINT64By
cloudsql_database
Total RAM usage in bytes. This metric reports the RAM usage of the database process, including the buffer/cache. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/memory/usage GA(project)
Memory usage
GAUGEINT64By
cloudsql_database
RAM usage in bytes. This metric reports the RAM usage of the server, excluding the buffer/cache. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/memory/utilization GA(project)
Memory utilization
GAUGEDOUBLE1
cloudsql_database
The fraction of the memory quota that is currently in use. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/aborted_clients_count GA(project)
MySQL Aborted Clients Count
DELTAINT641
cloudsql_database
Connections that were aborted because the client died without closing the connection properly, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/aborted_connects_count GA(project)
MySQL Aborted Connects Count
DELTAINT641
cloudsql_database
Failed attempts to connect to the MySQL server, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/connections_count GA(project)
MySQL Connections Count
DELTAINT641
cloudsql_database
Connection attempts (successful or not) to the MySQL server, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/ddl_operations_count GA(project)
MySQL DDL Operations Count
DELTAINT641
cloudsql_database
MySQL DDL operations, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
operation_type: Kind of DDL operations, one of [create_table, drop_table, alter_table, rename_table, truncate_table].
database/mysql/dml_operations_count GA(project)
MySQL DML Operations Count
DELTAINT641
cloudsql_database
MySQL DML operations, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
operation_type: Kind of DML operations, one of [insert, insert_select, update, delete, replace, replace_select].
database/mysql/handler_operations_count GA(project)
MySQL Handler Operations Count
DELTAINT641
cloudsql_database
MySQL handler operations, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
operation_type: Kind of operation handler type, one of [delete, read_first, read_key, read_last, read_next, read_prev, read_rnd, read_rnd_next, update, write].
database/mysql/innodb/active_transactions GA(project)
InnoDB Active Transactions
GAUGEINT641
cloudsql_database
Number of active Transaction details(trx which are in progress), Values in bracket are meant for innodb_transaction_state (Total/running/lock_wait/rolling_back/committing). Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
state: Values in bracket are meant for innodb_transaction_state, one of [Total, running, lock_wait, rolling_back, committing].
database/mysql/innodb/active_trx_longest_time GA(project)
InnoDB Active TRX Longest Time
GAUGEINT641
cloudsql_database
Largest transaction time from currently active innodb transactions. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/active_trx_rows_locked GA(project)
InnoDB Active TRX Rows Locked
GAUGEINT641
cloudsql_database
Number of rows locked by currently active innodb transactions. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/active_trx_rows_modified GA(project)
InnoDB Active TRX Rows Modified
GAUGEINT641
cloudsql_database
Number of rows modified by currently active innodb transactions. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/active_trx_total_time GA(project)
InnoDB Active TRX Total Time
GAUGEINT64s
cloudsql_database
Duration of currently active innodb transactions. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/adaptive_hash_operation_count GA(project)
Innodb AHI operations
DELTAINT641
cloudsql_database
Total internal row operations (rows added, updated, removed) performed to maintain the AHI since last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
operation_type: AHI operation type.
database/mysql/innodb/ahi_search_count GA(project)
AHI or Btree searches
DELTAINT641
cloudsql_database
Total search operations on the InnoDB AHI and its efficiency since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
operation_type: Operation type.
database/mysql/innodb/buffer_flush_sync_waits_count GA(project)
Innodb sync flushing waits
DELTAINT641
cloudsql_database
Number of times InnoDB has performed synchronous buffer flush operations and blocking the user transactions since last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/buffer_pool_pages GA(project)
InnoDB Buffer Pool Pages
GAUGEINT641
cloudsql_database
Number of InnoDB buffer pool pages, innodb_page_type field stores count of InnoDB pages in each state. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
innodb_page_type: Kind of InnoDB page, one of [dirty, free, Total]
database/mysql/innodb/buffer_pool_read_requests_count GA(project)
Innodb Buffer Pool Read Requests Count
DELTAINT641
cloudsql_database
Logical read requests from InnoDB buffer pool, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/buffer_pool_reads_count GA(project)
Innodb Buffer Pool Reads Count
DELTAINT641
cloudsql_database
Logical reads that InnoDB could not satisfy from the buffer pool, and had to read directly from disk, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/buffer_pool_write_requests_count GA(project)
InnoDB Buffer Pool Write Requests Count
DELTAINT641
cloudsql_database
Writes done to the InnoDB buffer pool, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/data_cache/cache_hit_count GA(project)
MySQL data cache hit count
DELTAINT641
cloudsql_database
Total number of data cache hit read operations for this instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/data_cache/cache_miss_count GA(project)
MySQL data cache miss count
DELTAINT641
cloudsql_database
Total number of data cache miss read operations for this instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/data_cache/pages GA(project)
Innodb Pages in Data Cache
GAUGEINT641
cloudsql_database
The number of Innodb pages in Mysqls E+ Data cache feature. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
page_type: Page types in data cache.
database/mysql/innodb/data_fsyncs_count GA(project)
Innodb Data Fsyncs Count
DELTAINT641
cloudsql_database
InnoDB fsync() calls, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/data_pending_fsyncs GA(project)
InnoDB Data Pending Fsyncs
GAUGEINT641
cloudsql_database
Number of pending fsync() operations in the MySQL server. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/data_pending_reads GA(project)
InnoDB Data Pending Reads
GAUGEINT641
cloudsql_database
Number of pending reads in the MySQL Server. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/data_pending_writes GA(project)
InnoDB Data Pending Writes
GAUGEINT641
cloudsql_database
Number of pending writes in the MySQL Server. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/deadlocks_count GA(project)
InnoDB Deadlocks Count
DELTAINT641
cloudsql_database
Deadlocks, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/dictionary_memory GA(project)
MySQL InnoDB dictionary cache
GAUGEINT64By
cloudsql_database
Memory allocated for InnoDB dictionary cache. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/history_list_length GA(project)
InnoDB History List Length
GAUGEINT641
cloudsql_database
Indicates the size of undo logs which are used to store modifications made to older versions of rows. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/ibuf_merge_operation_count GA(project)
InnoDB merged records operation wise
DELTAINT641
cloudsql_database
Total number of records type merged by the change buffering operation since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
operation_type: Kind of merge operation. One of ibuf_merges_insert,ibuf_merges_delete_mark,ibuf_merges_delete.
database/mysql/innodb/ibuf_merges_count GA(project)
InnoDB change buffer merges.
DELTAINT641
cloudsql_database
Total number of change buffer merges since the last sample. This shows the efficiency of all change buffer operations. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/innodb_log_waits_count GA(project)
Transaction waits for Innodb logbuffer flush
DELTAINT641
cloudsql_database
Total number of transactions wait for space to become available in the InnoDB log buffer, to help tune innodb_log_buffer_size configuration. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/lock_timeout_count GA(project)
Innodb Row Lock Wait Timeout Count
DELTAINT641
cloudsql_database
Row lock wait timeouts, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/lsn GA(project)
InnoDB LSN
GAUGEINT64By
cloudsql_database
Value of Innodb current/flushed/last_checkpoint log sequence number. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
lsn_type: Type of LSN being reported out of current/flushed/last_checkpoint.
database/mysql/innodb/operation_disk_io_count GA(project)
Disk IO performed by InnoDB.
DELTAINT641
cloudsql_database
Disk IO operations performed by InnoDB since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
operation_type: Kind of Disk IO operation. One of innodb_data_reads, innodb_data_writes, innodb_log_writes, innodb_dblwr_writes.
database/mysql/innodb/os_log_fsyncs_count GA(project)
Innodb OS Log Fsyncs Count
DELTAINT641
cloudsql_database
InnoDB fsync() calls to the log file, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/os_log_pending_fsyncs GA(project)
InnoDB OS Log Pending Fsyncs
GAUGEINT641
cloudsql_database
Number of pending fsync() operations for the InnoDB redo log files in the MySQL server. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/os_log_pending_writes GA(project)
InnoDB OS Log Pending Writes
GAUGEINT641
cloudsql_database
Number of pending writes to the InnoDB redo log files in the MySQL server. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/pages_read_count GA(project)
Innodb Pages Read Count
DELTAINT641
cloudsql_database
InnoDB pages read, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/pages_written_count GA(project)
Innodb Pages Written Count
DELTAINT641
cloudsql_database
DInnoDB pages written, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/row_lock_time GA(project)
InnoDB Row Lock Time
GAUGEINT64ms
cloudsql_database
The total time spent in acquiring row locks for InnoDB tables. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/row_lock_waits_count GA(project)
InnoDB Row Lock Waits Count
DELTAINT641
cloudsql_database
Times operations on InnoDB tables had to wait for a row lock, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb/row_operations_count GA(project)
InnoDB Row Operations Count
DELTAINT641
cloudsql_database
InnoDB row operations, operation_type field stores the count of InnoDB row operations, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
operation_type: Kind of InnoDB row operations, one of [delete, insert, read, update]
database/mysql/innodb_buffer_pool_pages_dirty GA(project)
InnoDB dirty pages
GAUGEINT641
cloudsql_database
Number of unflushed pages in the InnoDB buffer pool. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb_buffer_pool_pages_free GA(project)
InnoDB free pages
GAUGEINT641
cloudsql_database
Number of unused pages in the InnoDB buffer pool. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb_buffer_pool_pages_total GA(project)
InnoDB total pages
GAUGEINT641
cloudsql_database
Total number of pages in the InnoDB buffer pool. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb_data_fsyncs GA(project)
InnoDB fsync calls
DELTAINT641
cloudsql_database
Delta count of InnoDB fsync() calls. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb_os_log_fsyncs GA(project)
InnoDB log fsync calls
DELTAINT641
cloudsql_database
Delta count of InnoDB fsync() calls to the log file. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb_pages_read GA(project)
InnoDB pages read
DELTAINT641
cloudsql_database
Delta count of InnoDB pages read. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/innodb_pages_written GA(project)
InnoDB pages written
DELTAINT641
cloudsql_database
Delta count of InnoDB pages written. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/max_connections GA(project)
MySQL Max Connections
GAUGEINT641
cloudsql_database
Value of the MySQL max_connections configuration. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/memory/by_code_area GA(project)
Memory allocated by code area
GAUGEDOUBLEBy
cloudsql_database
Memory allocated to each code area, reported by mysql performance_schema. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
code_area_group: Kind of Mysql code area, one of [innodb_engine,sql,performance_schema,temptable_engine,memory_engine,mysys]
database/mysql/memory/by_event GA(project)
Memory allocated by events
GAUGEDOUBLEBy
cloudsql_database
Memory allocated by each event, reported by performance_schema. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
event_type: Kind of Mysql event, one of [innodb_hash0hash,innodb_memory,innodb_row0sel,sql_table,sql_thd_main,sql_dd,sql_string,mysys_iocache]
database/mysql/memory/global GA(project)
Global memory allocated
GAUGEDOUBLEBy
cloudsql_database
The total allocated memory, reported by performance_schema. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/open_table_definitions GA(project)
MySQL open table definitions
GAUGEINT641
cloudsql_database
The number of table definitions that are currently cached. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/open_tables GA(project)
MySQL open tables
GAUGEINT641
cloudsql_database
The number of tables that are currently open. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/opened_table_count GA(project)
MySQL opened table count
DELTAINT641
cloudsql_database
The number of tables that have been opened since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/opened_table_definitions_count GA(project)
MySQL opened table definitions count
DELTAINT641
cloudsql_database
The number of table definitions that have been cached since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/queries GA(project)
Queries
DELTAINT641
cloudsql_database
Delta count of statements executed by the server. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/questions GA(project)
Questions
DELTAINT641
cloudsql_database
Delta count of statements executed by the server sent by the client. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/received_bytes_count GA(project)
Network bytes received by MySQL
DELTAINT64By
cloudsql_database
Delta count of bytes received by MySQL process. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/replication/available_for_failover DEPRECATED(project)
Available for failover (Deprecated)
GAUGEINT641
cloudsql_database
This is > 0 if the failover operation is available on the master instance.master. The metric is deprecated. Please use cloudsql.googleapis.com/database/available_for_failover instead. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/replication/last_io_errno GA(project)
Last I/O thread error number.
GAUGEINT641
cloudsql_database
The error number of the most recent error that caused the I/O thread to stop. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/replication/last_sql_errno GA(project)
Last SQL thread error number.
GAUGEINT641
cloudsql_database
The error number of the most recent error that caused the SQL thread to stop. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/replication/seconds_behind_master GA(project)
Replication lag
GAUGEINT64s
cloudsql_database
Number of seconds the read replica is behind its primary (approximation). A negative value indicates that replication is inactive. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/replication/slave_io_running GA(project)
Slave I/O thread running
GAUGESTRING
cloudsql_database
Indicates whether the I/O thread for reading the primary's binary log is running. Possible values are Yes, No and Connecting. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/replication/slave_io_running_state GA(project)
Slave I/O thread running state
GAUGEBOOL
cloudsql_database
Indicates whether the I/O thread for reading the primary's binary log is running. Possible values are Yes, No and Connecting, and the values are exposed through the 'state' field. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
state: The slave_io_running state of the slave.
database/mysql/replication/slave_sql_running GA(project)
Slave SQL thread running
GAUGESTRING
cloudsql_database
Indicates whether the SQL thread for executing events in the relay log is running. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/replication/slave_sql_running_state GA(project)
Slave SQL thread running state
GAUGEBOOL
cloudsql_database
Indicates whether the SQL thread for executing events in the relay log is running. Possible values are Yes / No, and the values are exposed through the 'state' field. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
state: The slave_sql_running state of the slave.
database/mysql/sent_bytes_count GA(project)
Network bytes sent by MySQL
DELTAINT64By
cloudsql_database
Delta count of bytes sent by MySQL process. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/slow_queries_count GA(project)
MySQL slow queries count.
DELTAINT641
cloudsql_database
The total number of queries that took longer than long_query_time seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/thread_cache_size GA(project)
MySQL Thread Cache Size
GAUGEINT641
cloudsql_database
Value of the MySQL thread_cache_size configuration. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/thread_state GA(project)
MySQL threads state
GAUGEINT641
cloudsql_database
The state of running threads by querying information_schema.processlist table, this information helps to understand the locking or contention issues. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
state: Thread state.
database/mysql/threads GA(project)
MySQL Thread
GAUGEINT641
cloudsql_database
Number of Threads. threads_cached indicates threads in the thread cache, threads_connected indicates currently open connections, threads_running indicates threads that are not sleeping. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
thread_kind: Kind of the threads counted (threads_cached, threads_connected, threads_running).
database/mysql/threads_created_count GA(project)
MySQL Threads Created Count
DELTAINT641
cloudsql_database
Threads created to handle connections, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/tmp_disk_tables_created_count GA(project)
MySQL Temporary Disk Tables Created Count
DELTAINT641
cloudsql_database
Internal on-disk temporary tables created by the MySQL server while executing statements, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/tmp_files_created_count GA(project)
MySQL Temporary Files Created Count
DELTAINT641
cloudsql_database
Temporary files created by the MySQL server, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/mysql/tmp_tables_created_count GA(project)
MySQL Temporary Tables Created Count
DELTAINT641
cloudsql_database
MySQL temporary tables created, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/network/connections GA(project)
Cloud SQL Connections
GAUGEINT641
cloudsql_database
Number of connections to databases on the Cloud SQL instance. Only applicable to MySQL and SQL Server. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/network/received_bytes_count GA(project)
Received bytes
DELTAINT64By
cloudsql_database
Delta count of bytes received through the network. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/network/sent_bytes_count GA(project)
Sent bytes
DELTAINT64By
cloudsql_database
Delta count of bytes sent through the network. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
destination: Deprecated and not populated.
database/postgresql/backends_in_wait BETA(project)
PostgreSQL backends in wait
GAUGEINT641
cloudsql_database
Number of backends in wait in postgres instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
backend_type: Type of the backend, one of [autovacuum launcher, autovacuum worker, logical replication launcher, logical replication worker, parallel worker, background writer, client backend, checkpointer, archiver, startup, walreceiver, walsender, walwriter].
wait_event: Name of the wait event, such as AutoVacuumMain, ClientRead.
wait_event_type: Type of wait event, one of [Activity, BufferPin, Extension, IO, IPC, Lock, LWLock, Timeout].
database/postgresql/blocks_read_count BETA(project)
Number of disk blocks read.
DELTAINT641
cloudsql_database
Number of disk blocks read by this database. The source field distingushes actual reads from disk versus reads from buffer cache. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database: Name of the database.
source: Type of data block, one of [disk, buffer_cache].
database/postgresql/data_cache/hit_count GA(project)
PostgreSQL data cache hit count
DELTAINT641
cloudsql_database
Total number of data cache hit read operations for this instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/postgresql/data_cache/hit_ratio GA(project)
PostgreSQL data cache hit ratio
GAUGEDOUBLE1
cloudsql_database
Ratio of data cache hit read operations for this instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/postgresql/data_cache/miss_count GA(project)
PostgreSQL data cache miss count
DELTAINT641
cloudsql_database
Total number of data cache miss read operations for this instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/postgresql/deadlock_count BETA(project)
Deadlocks count
DELTAINT641
cloudsql_database
Number of deadlocks detected for this database. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database: Name of the database.
database/postgresql/external_sync/initial_sync_complete ALPHA(project)
Initial sync complete
GAUGEBOOL
cloudsql_database
Whether all databases on the Postgres External Server (ES) replica have completed the initial sync and are replicating changes from the source. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/postgresql/external_sync/max_replica_byte_lag ALPHA(project)
Max lag bytes
GAUGEINT64By
cloudsql_database
Replication lag in bytes for Postgres External Server (ES) replicas. Aggregated across all DBs on the replica. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/postgresql/insights/aggregate/execution_time GA(project)
Execution time
CUMULATIVEINT64us{CPU}
cloudsql_instance_database
Accumulated query execution time per user per database. This is the sum of cpu time, io wait time, lock wait time, process context switch, and scheduling for all the processes involved in the query execution.
user: The user of the database.
client_addr: The IP address of the database client.
database/postgresql/insights/aggregate/io_time GA(project)
IO time
CUMULATIVEINT64us
cloudsql_instance_database
Accumulated IO time per user per database.
user: The user of the database.
client_addr: The IP address of the database client.
io_type: The IO type (read/write).
database/postgresql/insights/aggregate/latencies GA(project)
Latency
CUMULATIVEDISTRIBUTIONus
cloudsql_instance_database
Query latency distribution per user per database.
user: The user of the database.
client_addr: The IP address of the database client.
database/postgresql/insights/aggregate/lock_time GA(project)
Aggregated lock time
CUMULATIVEINT64us
cloudsql_instance_database
Accumulated lock wait time per user per database.
user: The user of the database.
client_addr: The IP address of the database client.
lock_type: The lock type (lw/hw/buffer_pin).
database/postgresql/insights/aggregate/row_count GA(project)
Affected rows
CUMULATIVEINT641
cloudsql_instance_database
Total number of rows affected during query execution.
user: The user of the database.
client_addr: The IP address of the database client.
database/postgresql/insights/aggregate/shared_blk_access_count GA(project)
Shared blocks cache access.
CUMULATIVEINT641
cloudsql_instance_database
Shared blocks (regular tables & indexed) accessed by statement execution.
user: The user of the database.
client_addr: The IP address of the database client.
access_type: The block access type (hit/miss).
database/postgresql/insights/perquery/execution_time GA(project)
Per query execution times
CUMULATIVEINT64us{CPU}
cloudsql_instance_database
Accumulated execution times per user per database per query.This is the sum of cpu time, io wait time, lock wait time, process context switch, and scheduling for all the processes involved in the query execution.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
query_hash: A unique hash of the query string.
database/postgresql/insights/perquery/io_time GA(project)
Per query IO time
CUMULATIVEINT64us
cloudsql_instance_database
Accumulated IO time per user per database per query.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
io_type: The IO type (read/write).
query_hash: A unique hash of the query string.
database/postgresql/insights/perquery/latencies GA(project)
Per query latency
CUMULATIVEDISTRIBUTIONus
cloudsql_instance_database
Query latency distribution per user per database per query.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
query_hash: A unique hash of the query string.
database/postgresql/insights/perquery/lock_time GA(project)
Per query lock time
CUMULATIVEINT64us
cloudsql_instance_database
Accumulated lock wait time per user per database per query.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
lock_type: The lock type (lw/hw/buffer_pin).
query_hash: A unique hash of the query string.
database/postgresql/insights/perquery/row_count GA(project)
Per query affected rows
CUMULATIVEINT641
cloudsql_instance_database
Total number of rows affected during query execution.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
query_hash: A unique hash of the query string.
database/postgresql/insights/perquery/shared_blk_access_count GA(project)
Per query Shared blocks cache access
CUMULATIVEINT641
cloudsql_instance_database
Shared blocks (regular tables & indexed) accesssed by statement execution.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
access_type: The block access type (hit/miss).
query_hash: A unique hash of the query string.
database/postgresql/insights/pertag/execution_time GA(project)
Per tag execution time
CUMULATIVEINT64us{CPU}
cloudsql_instance_database
Accumulated execution times per user per database per tag.This is the sum of cpu time, io wait time, lock wait time, process context switch, and scheduling for all the processes involved in the query execution.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the db_driver.
framework: The name of the framework.
route: The name of the route.
tag_hash: A unique hash of the tag string.
database/postgresql/insights/pertag/io_time GA(project)
Per tag IO time
CUMULATIVEINT64us
cloudsql_instance_database
Accumulated IO write time per user per database per tag.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the db_driver.
framework: The name of the framework.
route: The name of the route.
io_type: The IO type (read/write).
tag_hash: A unique hash of the tag string.
database/postgresql/insights/pertag/latencies GA(project)
Per tag latency
CUMULATIVEDISTRIBUTIONus
cloudsql_instance_database
Query latency distribution per user per database per tag.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the db_driver.
framework: The name of the framework.
route: The name of the route.
tag_hash: A unique hash of the tag string.
database/postgresql/insights/pertag/lock_time GA(project)
Per tag lock time
CUMULATIVEINT64us
cloudsql_instance_database
Accumulated lock wait time per user per database per tag.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the db_driver.
framework: The name of the framework.
route: The name of the route.
lock_type: The lock type (lw/hw/buffer_pin).
tag_hash: A unique hash of the tag string.
database/postgresql/insights/pertag/row_count GA(project)
Per tag affected rows
CUMULATIVEINT641
cloudsql_instance_database
Total number of rows affected during query execution.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the db_driver.
framework: The name of the framework.
route: The name of the route.
tag_hash: A unique hash of the tag string.
database/postgresql/insights/pertag/shared_blk_access_count GA(project)
Per tag shared blocks cache accessed
CUMULATIVEINT641
cloudsql_instance_database
Shared blocks (regular tables & indexed) accessed by statement execution.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the db_driver.
framework: The name of the framework.
route: The name of the route.
access_type: The block access type (hit/miss).
tag_hash: A unique hash of the tag string.
database/postgresql/new_connection_count BETA(project)
PostgreSQL new connections count
DELTAINT641
cloudsql_database
Count of new connections added to the postgres instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database: Name of the database, such as testdb.
database/postgresql/num_backends GA(project)
PostgreSQL Connections
GAUGEINT641
cloudsql_database
Number of connections to the Cloud SQL PostgreSQL instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database: Name of the database.
database/postgresql/num_backends_by_application GA(project)
PostgreSQL connections by application
GAUGEINT641
cloudsql_database
Number of connections to the Cloud SQL PostgreSQL instance, grouped by applications. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
application: Name of the application.
database/postgresql/num_backends_by_state BETA(project)
PostgreSQL Connections by State
GAUGEINT641
cloudsql_database
Number of connections to the Cloud SQL PostgreSQL instance, grouped by its state. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database: Name of the database.
state: Connection state, one of [idle, active, idle_in_transaction, idle_in_transaction_aborted, disabled or fastpath_function_call].
database/postgresql/replication/replica_byte_lag GA(project)
Lag bytes
GAUGEINT64By
cloudsql_database
Replication lag in bytes. Reported from the master per replica. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
replica_name: Name of the replica.
replica_lag_type: Type of lag. This can be either replay_location, flush_location, write_location or sent_location.
database/postgresql/statements_executed_count BETA(project)
Statements executed count
DELTAINT641
cloudsql_database
Total count of statements executed in postgresql instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database: Name of the database.
operation_type: Type of the operation performed.
database/postgresql/temp_bytes_written_count GA(project)
Data (in bytes) written to temporary
DELTAINT641
cloudsql_database
Total amount of data (in bytes) written to temporary files by the queries per database. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database: Name of the database.
database/postgresql/temp_files_written_count GA(project)
Temporary files used for writing data
DELTAINT641
cloudsql_database
Total number of temporary files used for writing data while performing algorithms such as join and sort. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database: Name of the database.
database/postgresql/transaction_count GA(project)
Number of transactions
DELTAINT641
cloudsql_database
Delta count of number of transactions. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database: Name of the database.
transaction_type: transaction_type can be commit or rollback.
database/postgresql/transaction_id_count GA(project)
Transaction ID count
DELTAINT641
cloudsql_database
Delta count of transaction ID. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
action: Type of action, one of ["assigned" - count of transaction IDs assigned and consumed by the instance; "frozen" - count of transaction IDs replenished by the VACUUM`s freeze operation].
database/postgresql/transaction_id_utilization GA(project)
Transaction ID utilization
GAUGEDOUBLE10^2.%
cloudsql_database
Current utilization represented as a percentage of transaction IDs consumed by the Cloud SQL PostgreSQL instance. Values are typically numbers between 0.0 and 1.0. Charts display the values as a percentage between 0% and 100%. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/postgresql/tuple_size BETA(project)
Number of tuples (rows) in the database.
GAUGEINT641
cloudsql_database
Number of tuples (rows) in the database. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database: Name of the database.
tuple_state: Type of tuple state, one of [live, dead].
database/postgresql/tuples_fetched_count GA(project)
Number of tuples fetched
DELTAINT641
cloudsql_database
Total number of rows fetched as a result of queries per database in the PostgreSQL instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database: Name of the database.
database/postgresql/tuples_processed_count BETA(project)
Number of rows processed
DELTAINT641
cloudsql_database
Number of tuples(rows) processed for a given database for operations like insert, update or delete. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
operation_type: Type of database operation, one of [insert, update, delete].
database: Name of the database.
database/postgresql/tuples_returned_count GA(project)
Number of tuples returned
DELTAINT641
cloudsql_database
Total number of rows scanned while processing the queries per database in the PostgreSQL instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database: Name of the database.
database/postgresql/vacuum/oldest_transaction_age GA(project)
Oldest transaction age
GAUGEINT641
cloudsql_database
Age of the oldest transaction yet to be vacuumed in the Cloud SQL PostgreSQL instance, measured in number of transactions that have happened since the oldest transaction. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
oldest_transaction_type: oldest transaction type can be one of [running, prepared, replication_slot, replica].
database/replication/log_archive_failure_count BETA(project)
Number of log archival failures.
DELTAINT641
cloudsql_database
Number of failed attempts for archiving replication log files. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/replication/log_archive_success_count BETA(project)
Number of log archival successes.
DELTAINT641
cloudsql_database
Number of successful attempts for archiving replication log files. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/replication/network_lag GA(project)
Network lag
GAUGEINT64s
cloudsql_database
Indicates time taken from primary binary log to IO thread on replica. Only applicable to replicas. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/replication/replica_lag GA(project)
Replication lag
GAUGEDOUBLEs
cloudsql_database
Number of seconds the read replica is behind its primary (approximation). A negative value indicates that replication is inactive. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/replication/state BETA(project)
Replication state
GAUGEBOOL
cloudsql_database
The current serving state of replication. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
state: State of replication:"Running" - Replication is active and running;"Stopped" - Replication is inactive and stopped;"Error" - There is an error happening and replication is stopped.
database/sqlserver/audits_size GA(project)
Size of stored audit files.
GAUGEINT64By
cloudsql_database
Tracks the size in bytes of stored SQLServer audit files on an instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/audits_upload_count GA(project)
Total number of successfully uploaded audits.
DELTAINT641
cloudsql_database
Counts total number of SQLServer audit file uploads to a GCS bucket and whether or not an upload was successful. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
upload_status: Upload status of latest audit file.
database/sqlserver/connections/connection_reset_count GA(project)
Connection resets
DELTAINT641
cloudsql_database
Total number of logins started from the connection pool since the last restart of SQL Server service. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/connections/login_attempt_count GA(project)
Login attempts
DELTAINT641
cloudsql_database
Total number of login attempts since the last restart of SQL Server service. This does not include pooled connections. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/connections/logout_count GA(project)
Logouts
DELTAINT641
cloudsql_database
Total number of logout operations since the last restart of SQL Server service. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/connections/processes_blocked GA(project)
Processes blocked
GAUGEINT641
cloudsql_database
Current number of blocked processes. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/data_cache/hit_count GA(project)
SQL Server data cache hit count
DELTAINT641
cloudsql_database
Total number of data cache hit read operations for this instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/data_cache/hit_ratio GA(project)
SQL Server data cache hit ratio
GAUGEDOUBLE1
cloudsql_database
Ratio of successful data cache hit read operations for this instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/data_cache/miss_count GA(project)
SQL Server data cache miss count
DELTAINT641
cloudsql_database
Total number of data cache miss read operations for this instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/databases GA(project)
SQL Server Databases
GAUGEINT641
cloudsql_database
Current number of databases on the instance excluding system databases. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
state: Database state, for example, 'ONLINE' or 'SUSPECT'.
recovery_model: Database recovery model, one of [FULL, BULK_LOGGED, SIMPLE].
is_cdc_enabled: (BOOL) Indicates whether CDC is enabled.
is_published: (BOOL) Indicates whether a database is published.
auto_close: (BOOL) Indicates whether auto-close is enabled on a database.
database/sqlserver/external_sync/primary_to_replica_connection_health ALPHA(project)
Primary to Replica connectivity
GAUGEBOOL
cloudsql_database
Indicates whether there is connectivity from Primary to the Replica to push replication updates. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/memory/buffer_cache_hit_ratio GA(project)
Buffer cache hit ratio
GAUGEDOUBLE%
cloudsql_database
Current percentage of pages found in the buffer cache without having to read from disk. The ratio is the total number of cache hits divided by the total number of cache lookups. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/memory/checkpoint_page_count GA(project)
Checkpoint pages
DELTAINT641
cloudsql_database
Total number of pages flushed to disk by a checkpoint or other operation that requires all dirty pages to be flushed. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/memory/free_list_stall_count GA(project)
Free list stalls
DELTAINT641
cloudsql_database
Total number of requests that had to wait for a free page. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/memory/lazy_write_count GA(project)
Lazy writes
DELTAINT641
cloudsql_database
Total number of buffers written by the buffer manager's lazy writer. The lazy writer is a system process that flushes out batches of dirty, aged buffers (buffers that contain changes that must be written back to disk before the buffer can be reused for a different page) and makes them available to user processes. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/memory/memory_grants_pending GA(project)
Memory grants pending
GAUGEINT641
cloudsql_database
Current number of processes waiting for a workspace memory grant. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/memory/page_life_expectancy GA(project)
Page life expectancy
GAUGEINT64s
cloudsql_database
Current number of seconds a page will stay in the buffer pool without references. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/memory/page_operation_count GA(project)
Page operations
DELTAINT641
cloudsql_database
Total number of physical database page reads or writes. This statistic counts physical page reads or writes across all databases. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
operation: Page operation, one of [Read, Write].
database/sqlserver/replication/bytes_sent_to_replica_count GA(project)
Bytes sent to replica
DELTAINT64By
cloudsql_database
Total number of bytes sent to the remote availability replica. Before compression for async replica. Actual number of bytes for sync replica which has no compression. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
replica_name: Replica name, for example, 'ag:0975ec5e220191d' or 'ag:58cb483ac3f7083'.
database/sqlserver/replication/log_apply_pending_queue GA(project)
Log apply pending queue
GAUGEINT641
cloudsql_database
Current number of log blocks that are waiting to be applied to all database replicas. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/replication/log_bytes_received_count GA(project)
Log bytes received
DELTAINT64By
cloudsql_database
Total amount of log records received by the secondary replica for all databases. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/replication/recovery_queue GA(project)
Recovery queue
GAUGEINT64kBy
cloudsql_database
Current amount of log records in kilobytes in the log files of the secondary replica that have not been redone. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/replication/redone_bytes_count GA(project)
Redone bytes
DELTAINT64By
cloudsql_database
Total amount of log records redone on all secondary databases. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/replication/resent_message_count GA(project)
Resent messages
DELTAINT641
cloudsql_database
Total number of Always On messages resent. A resent message is a message that was attempted to be sent but was unable to complete and must be attempted to be sent again. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
replica_name: Replica name, for example, 'ag:0975ec5e220191d' or 'ag:58cb483ac3f7083'.
database/sqlserver/schedulers/active_workers GA(project)
Number of active workers per scheduler
GAUGEINT641
cloudsql_database
Current number of workers that are active. An active worker is never preemptive, must have an associated task, and is either running, runnable, or suspended. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
scheduler_id: Identifier of the scheduler, for example, '3' or 'Internal'.
database/sqlserver/schedulers/by_status GA(project)
Number of schedulers
GAUGEINT641
cloudsql_database
Current number of schedulers reporting a particular status. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
status: Scheduler status, one of [HIDDEN ONLINE, HIDDEN OFFLINE, VISIBLE ONLINE, VISIBLE OFFLINE, VISIBLE ONLINE (DAC), HOT_ADDED].
is_internal: (BOOL) Indicates whether the scheduler is internal.
database/sqlserver/schedulers/current_tasks GA(project)
Number of current tasks per scheduler
GAUGEINT641
cloudsql_database
Current number of current tasks that are associated with a scheduler. This count includes tasks that are waiting for a worker to execute them and tasks that are currently waiting or running (in SUSPENDED or RUNNABLE state). Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
scheduler_id: Identifier of the scheduler, for example, '3' or 'Internal'.
database/sqlserver/schedulers/current_workers GA(project)
Number of workers per scheduler
GAUGEINT641
cloudsql_database
Current number of workers that are associated with a scheduler. It includes workers that are not assigned any task. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
scheduler_id: Identifier of the scheduler, for example, '3' or 'Internal'.
database/sqlserver/schedulers/pending_disk_io GA(project)
Number of pending I/O operations per scheduler
GAUGEINT641
cloudsql_database
Current number of pending I/Os that are waiting to be completed. Each scheduler has a list of pending I/Os that are checked to determine whether they have been completed every time there is a context switch. The count is incremented when the request is inserted. This count is decremented when the request is completed. This number does not indicate the state of the I/Os. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
scheduler_id: Identifier of the scheduler, for example, '3' or 'Internal'.
database/sqlserver/schedulers/runnable_tasks GA(project)
Number of workers with assigned tasks per scheduler
GAUGEINT641
cloudsql_database
Current number of workers, with tasks assigned to them, that are waiting to be scheduled on the runnable queue. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
scheduler_id: Identifier of the scheduler, for example, '3' or 'Internal'.
database/sqlserver/schedulers/work_queue GA(project)
Number of pending tasks per scheduler
GAUGEINT641
cloudsql_database
Current number of tasks in the pending queue. These tasks are waiting for a worker to pick them up. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
scheduler_id: Identifier of the scheduler, for example, '3' or 'Internal'.
database/sqlserver/server_principals GA(project)
Server principals
GAUGEINT641
cloudsql_database
Current number of server principals on the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
type: Server principal type, one of [SQL_LOGIN, WINDOWS_LOGIN, WINDOWS_GROUP, SERVER_ROLE, CERTIFICATE_MAPPED_LOGIN, EXTERNAL_LOGIN, EXTERNAL_GROUP, ASYMMETRIC_KEY_MAPPED_LOGIN].
is_enabled: (BOOL) Indicates whether a server principal is enabled.
database/sqlserver/sql_agent/jobs GA(project)
SQL Server agent jobs
GAUGEINT641
cloudsql_database
Current number of SQL Server agent jobs on the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
is_enabled: (BOOL) Indicates whether a job is enabled.
last_run_outcome: Last outcome of a job run, one of [Fail, Succeed, Retry, Cancel, In progress, Unknown].
database/sqlserver/transactions/batch_request_count GA(project)
Batch requests
DELTAINT641
cloudsql_database
Total number of Transact-SQL command batches received. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/transactions/deadlock_count GA(project)
Deadlocks
DELTAINT641
cloudsql_database
Total number of lock requests that resulted in a deadlock. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
locked_resource: Locked resource, for example, 'Page' or 'Database'.
database/sqlserver/transactions/forwarded_record_count GA(project)
Forwarded records
DELTAINT641
cloudsql_database
Total number of records fetched through forwarded record pointers. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/transactions/full_scan_count GA(project)
Full scans
DELTAINT641
cloudsql_database
Total number of unrestricted full scans. These can be either base-table or full-index scans. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/transactions/lock_wait_count GA(project)
Lock waits
DELTAINT641
cloudsql_database
Total number of lock requests that required the caller to wait. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
locked_resource: Locked resource, for example, 'Page' or 'Database'.
database/sqlserver/transactions/lock_wait_time GA(project)
Lock wait time
DELTAINT64ms
cloudsql_database
Total time lock requests were waiting for locks. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
locked_resource: Locked resource, for example, 'Page' or 'Database'.
database/sqlserver/transactions/log_bytes_flushed_count GA(project)
Log bytes flushed
DELTAINT64By
cloudsql_database
Total number of log bytes flushed. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database: Database name, one of [tempdb, model, msdb, mssqlsystemresource, master, other].
database/sqlserver/transactions/page_split_count GA(project)
Page splits
DELTAINT641
cloudsql_database
Total number of page splits that occur as the result of overflowing index pages. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/transactions/probe_scan_count GA(project)
Probe scans
DELTAINT641
cloudsql_database
Total number of probe scans that are used to find at most one single qualified row in an index or base table directly. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/transactions/sql_compilation_count GA(project)
SQL compilations
DELTAINT641
cloudsql_database
Total number of SQL compilations. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/transactions/sql_recompilation_count GA(project)
SQL recompilations
DELTAINT641
cloudsql_database
Total number of SQL recompilations. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/transactions/transaction_count GA(project)
Transactions started
DELTAINT641
cloudsql_database
Total number of transactions started. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database: Database name, one of [tempdb, model, msdb, mssqlsystemresource, master, other].
database/sqlserver/xevents_size GA(project)
Size of stored XEvents files.
GAUGEINT64By
cloudsql_database
Tracks the size in bytes of stored SQLServer XEvents files on an instance. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/sqlserver/xevents_upload_count GA(project)
Total number of successfully uploaded XEvents.
DELTAINT641
cloudsql_database
Counts total number of SQLServer XEvents file uploads to a GCS bucket and whether or not an upload was successful. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
upload_status: Upload status of latest XEvents file.
database/state DEPRECATED(project)
State
GAUGESTRING
cloudsql_database
The current serving state of the Cloud SQL instance. This can be one of the following: RUNNING: The instance is *expected* to be running. If an instance experiences unplanned (non-maintenance) downtime, the state will still be RUNNING, but the database/up metric will report 0. SUSPENDED: The instance is not available, for example due to problems with billing. RUNNABLE: The instance has been stopped by owner. It is not currently running, but it's ready to be restarted. PENDING_CREATE: The instance is being created. MAINTENANCE: The instance is down for maintenance. FAILED: The instance creation failed or an operation left the instance in an unknown bad state. UNKNOWN_STATE: The state of the instance is unknown. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/swap/bytes_used GA(project)
Swap space usage
GAUGEINT64By
cloudsql_database
Swap space used by the database container. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/swap/pages_swapped_in_count GA(project)
Pages Swapped In Count
DELTAINT64By
cloudsql_database
Total count of pages swapped in of disk since the system was booted. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/swap/pages_swapped_out_count GA(project)
Pages Swapped Out Count
DELTAINT64By
cloudsql_database
Total count of pages swapped out of disk since the system was booted. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/up GA(project)
Server up
GAUGEINT641
cloudsql_database
Indicates if the server is up or not. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
database/uptime GA(project)
Uptime
DELTAINT64s
cloudsql_database
Delta count of the time in seconds the instance has been running. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.

cloudtasks

Metrics from Cloud Tasks (formerly App Engine Task Queue).

Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with cloudtasks.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
api/request_count GA(project)
API requests
DELTAINT641
cloud_tasks_queue
Count of Cloud Tasks API calls. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
api_method: The API method called (e.g. CreateTask).
response_code: Canonical response code as string (e.g. 'ok').
queue/depth GA(project)
Queue depth
GAUGEINT641
cloud_tasks_queue
The number of tasks in the queue. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
queue/task_attempt_count GA(project)
Task attempt count
DELTAINT641
cloud_tasks_queue
Count of task attempts broken down by response code. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
response_code: Canonical response code as string (e.g. 'ok').
queue/task_attempt_delays GA(project)
Task attempt delays
DELTADISTRIBUTIONms
cloud_tasks_queue
Delay between each scheduled attempt time and actual attempt time. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.

cloudtrace

Metrics from Cloud Trace. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with cloudtrace.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
bigquery_export/exported_span_count BETA(project)
Spans Exported to BigQuery
DELTAINT641
cloudtrace.googleapis.com/CloudtraceProject
Counts per status of attempts to export spans to BigQuery via a TraceSink. Note that spans will be counted for each configured TraceSink that they match.
status: The status of an attempt to export spans to BigQuery via a TraceSink.
billing/monthly_spans_ingested GA(project)
Monthly trace spans ingested
GAUGEINT641
global
Month-to-date trace spans ingested. Sampled every 1800 seconds. After sampling, data is not visible for up to 6000 seconds.
service: Google Cloud service that produced the span.
chargeable: (BOOL) Whether the span is chargeable.
billing/spans_ingested GA(project)
Trace spans ingested
DELTAINT641
global
Trace spans ingested. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
service: Google Cloud service that produced the span.
chargeable: (BOOL) Whether the span is chargeable.

composer

Metrics from Cloud Composer. Launch stages of these metrics: ALPHA BETA

The "metric type" strings in this table must be prefixed with composer.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
environment/active_schedulers BETA(project)
Active Scheduler instances
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of active scheduler instances. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/active_triggerers BETA(project)
Active Triggerers instances
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of active triggerers instances. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/active_webservers BETA(project)
Active Webserver instances
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of active webserver instances. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/api/request_count BETA(project)
API Requests
DELTAINT641
cloud_composer_environment
Number of Composer API requests seen so far. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
status: The status code of the API call.
api_version: The version of the Composer API, e.g., v1beta1.
api_method: The name of the Composer API call, e.g., CreateEnvironment.
environment/api/request_latencies BETA(project)
API Latency
DELTADISTRIBUTIONms
cloud_composer_environment
Distribution of Composer API call latencies. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
status: The status code of the API call.
api_version: The version of the Composer API, e.g., v1beta1.
api_method: The name of the Composer API call, e.g., CreateEnvironment.
environment/celery/execute_command_failure_count BETA(project)
Celery task non-zero exit codes
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of non-zero exit codes from Celery task (corresponds to "celery.execute_command.failure" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/celery/task_timeout_error_count BETA(project)
Celery task publish timeouts
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of AirflowTaskTimeout errors raised when publishing Task to Celery Broker (corresponds to "celery.task_timeout_error" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/collect_db_dag_duration BETA(project)
Serialized DAG fetch duration
GAUGEDOUBLEms
cloud_composer_environment
internal_composer_environment
Time taken for fetching all serialized DAGs from DB (corresponds to "collect_db_dags" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/dag_callback/exception_count BETA(project)
DAG callback exceptions
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of exceptions raised from DAG callbacks (corresponds to "dag.callback_exceptions" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/dag_file/refresh_error_count BETA(project)
DAG refresh errors
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of failures loading any DAG files (corresponds to "dag_file_refresh_error" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/dag_processing/last_duration BETA(project)
DAG file load time
GAUGEDOUBLEms
cloud_composer_environment
internal_composer_environment
Time taken to load the given DAG file (corresponds to "dag_processing.last_duration.<dag_file>" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
dag_file: DAG file name.
environment/dag_processing/last_run_elapsed_time BETA(project)
Time since DAG processing
GAUGEDOUBLEs
cloud_composer_environment
internal_composer_environment
Time since the DAG file was last processed (corresponds to "dag_processing.last_run.seconds_ago.<dag_file>" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
dag_file: DAG file name.
environment/dag_processing/manager_stall_count BETA(project)
DagFileProcessorManager stall count
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of DagFileProcessorManager stalls (corresponds to "dag_processing.manager_stalls" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/dag_processing/parse_error_count BETA(project)
Parse Error Count
DELTAINT641
cloud_composer_environment
internal_composer_environment
Number of errors raised during parsing DAG files. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/dag_processing/processes BETA(project)
DAG parsing processes
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of currently running DAG parsing processes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/dag_processing/processor_timeout_count BETA(project)
Processors Timeout Count
DELTAINT641
cloud_composer_environment
internal_composer_environment
Number of file processors terminated due to processing timeout. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/dag_processing/total_parse_time BETA(project)
Total Parse Time
GAUGEDOUBLEs
cloud_composer_environment
internal_composer_environment
Number of seconds taken to scan and import all DAG files once. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/dagbag_size BETA(project)
Dag Bag Size
GAUGEINT641
cloud_composer_environment
internal_composer_environment
The current dag bag size. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/database/airflow/size BETA(project)
Airflow metadata database size
GAUGEINT64By
cloud_composer_environment
internal_composer_environment
Size of the Airflow metadata database. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/database/auto_failover_request_count BETA(project)
Auto-failover request count
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of instance auto-failover requests. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/database/available_for_failover BETA(project)
Available for failover
GAUGEINT641
cloud_composer_environment
internal_composer_environment
True (value > 0) if Cloud SQL instance is enabled with HA and is ready for failover. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/database/cpu/reserved_cores BETA(project)
Database CPU reserved cores
GAUGEDOUBLE1
cloud_composer_environment
internal_composer_environment
Number of cores reserved for the database instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
environment/database/cpu/usage_time BETA(project)
Database CPU usage time
DELTADOUBLEs
cloud_composer_environment
internal_composer_environment
CPU usage time of the database instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
environment/database/cpu/utilization BETA(project)
Database CPU utilization
GAUGEDOUBLE1
cloud_composer_environment
internal_composer_environment
CPU utilization ratio (from 0.0 to 1.0) of the database instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
environment/database/disk/bytes_used BETA(project)
Database disk usage
GAUGEINT64By
cloud_composer_environment
internal_composer_environment
Used disk space in bytes on the database instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
environment/database/disk/quota BETA(project)
Database disk quota
GAUGEINT64By
cloud_composer_environment
internal_composer_environment
Maximum data disk size in bytes of the database instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
environment/database/disk/utilization BETA(project)
Database disk utilization
GAUGEDOUBLE1
cloud_composer_environment
internal_composer_environment
Disk quota usage ratio (from 0.0 to 1.0) of the database instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
environment/database/memory/bytes_used BETA(project)
Database memory usage
GAUGEINT64By
cloud_composer_environment
internal_composer_environment
Memory usage of the database instance in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
environment/database/memory/quota BETA(project)
Database memory quota
GAUGEINT64By
cloud_composer_environment
internal_composer_environment
Maximum RAM size in bytes of the database instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
environment/database/memory/utilization BETA(project)
Database memory utilization
GAUGEDOUBLE1
cloud_composer_environment
internal_composer_environment
Memory utilization ratio (from 0.0 to 1.0) of the database instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
environment/database/network/connections BETA(project)
Database connections
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of concurrent connections to the database instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
environment/database/network/max_connections BETA(project)
Database connections limit
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Maximum permitted number of concurrent connections to the database instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
environment/database/network/received_bytes_count BETA(project)
Database received bytes
DELTAINT64By
cloud_composer_environment
internal_composer_environment
Number of bytes received by the database instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
environment/database/network/sent_bytes_count BETA(project)
Database sent bytes
DELTAINT64By
cloud_composer_environment
internal_composer_environment
Number of bytes sent by the database instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
environment/database_health BETA(project)
Database Healthy
GAUGEBOOL
cloud_composer_environment
internal_composer_environment
Healthiness of Composer airflow database. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment_type: Environment type, e.g. private_ip.
environment/email/sla_notification_failure_count BETA(project)
Failed SLA miss email notifications
DELTAINT641
cloud_composer_environment
internal_composer_environment
Number of failed SLA miss email notification attempts. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/executor/open_slots BETA(project)
Executor Open Slots
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of open slots on executor. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/executor/queued_tasks BETA(project)
Executor Queued Tasks
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of queued tasks on executor. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/executor/running_tasks BETA(project)
Executor Running Tasks
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of running tasks on executor. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/finished_task_instance_count BETA(project)
Finished Task Instance Count
DELTAINT641
cloud_composer_environment
internal_composer_environment
Overall task instances in finished state. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: State of task instance, one of [success, failed].
image_version: Version of Composer image.
environment/health/airflow_api_check_count BETA(project)
Airflow api checks count
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of Airflow api checks. Sampled every 600 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
request_status: Airflow api request status, one of [OK, TIMEOUT, CONNECTION_ERROR, REQUEST_ERROR].
node_name: Node name.
environment/health/autoscaling_check_count BETA(project)
Autoscaling components checks count
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of autoscaling components checks. Sampled every 600 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
component: Composer autoscaling component name, one of [airflow-worker-set-controller, custom-stackdriver-adapter, horizontal pod autoscaler].
status: Autoscaling component check status, one of [OK, NotFound, FailedGetResourceMetric, FailedGetExternalMetric, MinimumReplicasUnavailable, ProgressDeadlineExceeded, FailedComputeMetricsReplicas, ScalingLimitedTooManyReplicas].
error: Autoscaling component error.
environment/health/cmek_encryption_check_count BETA(project)
CMEK encryption checks count
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of CMEK encryption checks. Sampled every 600 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
status: CMEK encryption check status, one of [OK, BROKEN_KMS_KEY].
environment/health/container_restart_count BETA(project)
Container restarts count.
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of container restarts. Sampled every 600 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workload_type: Composer workload type.
reason: Container restart reason, one of [CrashLoopBackOff, ImagePullBackOff, OOMKilled, Running, NotRunning].
container_name: Container name.
environment/health/dependency_check_count BETA(project)
Dependency checks count
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of dependency checks. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
dependency: Composer dependency name, one of [ARTIFACT_REGISTRY, CLOUD_LOGGING, CLOUD_MONITORING, INVERTING_PROXY].
status: Dependency check status, one of [OK, CONNECTION_ERROR, TIMEOUT, REQUEST_EXCEPTION].
node_name: Node name.
environment/health/dependency_permissions_check_count BETA(project)
Dependency permissions checks count
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of dependency permissions checks. Sampled every 600 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
status: Permissions check status, one of [OK, TIMEOUT, MISSING_PERMISSION, PERMISSION_DENIED].
permission: IAM permission name.
environment/health/pod_event_count BETA(project)
Pod event count
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of pod events. Sampled every 600 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workload_type: Composer workload type.
event_type: Pod event type, one of [Evicted, BackOff, CrashLoopBackOff, Unhealthy].
environment/health/redis_queue_check_count BETA(project)
Redis queue checks count
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of redis queue checks. Sampled every 600 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
status: Redis queue check status, one of [NO_VALUE, NO_PERMISSION, TIMEOUT, CONNECTION_ERROR,OK].
node_name: Node name.
environment/healthy BETA(project)
Healthy
GAUGEBOOL
cloud_composer_environment
internal_composer_environment
Healthiness of Composer environment. Sampled every 300 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/job/count BETA(project)
Job count
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of started jobs, e.g. SchedulerJob, LocalTaskJob (corresponds to "<job_name>_start", "<job_name>_end" Airflow metrics). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
status: Status of the Job, one of [start, end]
job_name: Name of the Job.
environment/job/heartbeat_failure_count BETA(project)
Failed Job heartbeats
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of failed heartbeats for a job (corresponds to "<job_name>_heartbeat_failure" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
job_name: Name of the Job.
environment/maintenance_operation BETA(project)
Maintenance operation
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Information whether there is a maintenance operation of a given type. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
type: The type of the maintenance operation, one of [INFRASTRUCTURE, COMPOSER].
environment/num_celery_workers BETA(project)
Celery Workers
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of Celery workers. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/operator/created_task_instance_count BETA(project)
Tasks created per operator
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of created task instances per operator (corresponds to "task_instance_created-<operator_name>" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
operator: Operator name, for example "BashOperator" or "PythonOperator".
environment/operator/finished_task_instance_count BETA(project)
Operator executions
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of finished task instances per operator (corresponds to "operator_successes_<operator_name>", "operator_failures_<operator_name>" Airflow metrics). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
operator: Operator name, for example "BashOperator" or "PythonOperator".
status: Whether the operator finished successfully, one of [success, failed].
environment/pool/open_slots BETA(project)
Open slots in the pool
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of open slots in the pool. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
pool_name: Name of the Airflow pool.
environment/pool/queued_slots BETA(project)
Queued slots in the pool
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of queued slots in the pool (corresponds to "pool.queued_slots.<pool_name>" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
pool_name: Name of the Airflow pool.
environment/pool/running_slots BETA(project)
Running slots in the pool
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of running slots in the pool. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
pool_name: Name of the Airflow pool.
environment/pool/starving_tasks BETA(project)
Starving tasks in the pool
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of starving tasks in the pool. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
pool_name: Name of the Airflow pool.
environment/scheduler/critical_section_duration BETA(project)
Critical section duration
GAUGEDOUBLEms
cloud_composer_environment
internal_composer_environment
Time spent in the critical section of the scheduler loop - only a single scheduler can enter this loop at a time (corresponds to "scheduler.critical_section_duration" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/scheduler/critical_section_lock_failure_count BETA(project)
Critical section lock failures
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of times a scheduler process tried to get a lock on the critical section - in order to send tasks to the executor - and found it locked by another process (corresponds to "scheduler.critical_section_busy" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/scheduler/pod_eviction_count BETA(project)
Scheduler Pod Eviction Count
DELTAINT641
cloud_composer_environment
internal_composer_environment
The number of Airflow scheduler pod evictions. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/scheduler/task/externally_killed_count BETA(project)
Externally killed tasks
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of tasks killed externally (corresponds to "scheduler.tasks.killed_externally" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/scheduler/task/orphan_count BETA(project)
Orphaned task count
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of cleared/adopted orphaned tasks (corresponds to "scheduler.orphaned_tasks.cleared", "scheduler.orphaned_tasks.adopted" Airflow metrics). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
status: Status of the orphaned task, one of [cleared, adopted].
environment/scheduler/tasks BETA(project)
Scheduler managed tasks
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of tasks managed by scheduler (corresponds to "scheduler.tasks.running", "scheduler.tasks.starving", "scheduler.tasks.executable" Airflow metrics). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
status: Status of the task, one of [running, starving, executable]
environment/scheduler_heartbeat_count BETA(project)
Scheduler Heartbeats
DELTAINT641
cloud_composer_environment
internal_composer_environment
Scheduler heartbeats. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/sla_callback_notification_failure_count BETA(project)
Failed SLA callback notifications
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of failed SLA miss callback notification attempts (corresponds to "sla_callback_notification_failure" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/smart_sensor/exception_failures BETA(project)
Smart sensor poking exception failures
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of failures caused by exception in the previous smart sensor poking loop. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/smart_sensor/infra_failures BETA(project)
Smart sensor poking infrastructure failures
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of infrastructure failures in the previous smart sensor poking loop. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/smart_sensor/poked_exception BETA(project)
Smart sensor poking exceptions
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of exceptions in the previous smart sensor poking loop. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/smart_sensor/poked_success BETA(project)
Smart sensor successfully poked tasks
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of newly succeeded tasks poked by the smart sensor in the previous poking loop. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/smart_sensor/poked_tasks BETA(project)
Smart sensor poked tasks
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of tasks poked by the smart sensor in the previous poking loop. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/snapshot/creation_count BETA(project)
Snapshot creation count
DELTAINT641
cloud_composer_environment
internal_composer_environment
Number of created scheduled snapshots. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
result: Snapshot creation result, one of [SUCCEEDED, FAILED].
environment/snapshot/creation_elapsed_time BETA(project)
Snapshot creation elapsed time
GAUGEDOUBLEs
cloud_composer_environment
internal_composer_environment
Time elapsed of the last scheduled snapshot creation. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/snapshot/size BETA(project)
Snapshot size
GAUGEINT64By
cloud_composer_environment
internal_composer_environment
Size of last scheduled snapshot in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/task_instance/previously_succeeded_count BETA(project)
Previously succeeded task instances
CUMULATIVEINT641
cloud_composer_environment
internal_composer_environment
Total number of times a task instance was already in SUCCESS state before execution (corresponds to "previously_succeeded" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/task_queue_length BETA(project)
Task Queue Length
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Number of tasks in queue. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
queue_name: Name of task queue.
environment/trigger/blocking_count BETA(project)
Blocking triggers
DELTAINT641
cloud_composer_environment
internal_composer_environment
Total number of triggers that blocked the main thread of a triggerer. Sampled every 60 seconds.
image_version: Version of Composer image.
environment/trigger/failed_count BETA(project)
Failed triggers
DELTAINT641
cloud_composer_environment
internal_composer_environment
Total number of triggers that failed. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/trigger/succeeded_count BETA(project)
Succeeded triggers
DELTAINT641
cloud_composer_environment
internal_composer_environment
Total number of triggers that succeeded. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/unfinished_task_instances BETA(project)
Unfinished Task Instances
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Overall task instances in not finished state. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: State of task instance, one of [queued, running, scheduled, deferred].
image_version: Version of Composer image.
environment/web_server/cpu/reserved_cores BETA(project)
Web server CPU reserved cores
GAUGEDOUBLE1
cloud_composer_environment
internal_composer_environment
Number of cores reserved for the web server instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
instance_id: Numeric ID of the Compute Engine instance running the web server.
environment/web_server/cpu/usage_time BETA(project)
Web server CPU usage time
DELTADOUBLEs
cloud_composer_environment
internal_composer_environment
CPU usage time of the web server instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
instance_id: Numeric ID of the Compute Engine instance running the web server.
environment/web_server/health BETA(project)
Web server health
GAUGEBOOL
cloud_composer_environment
internal_composer_environment
Healthiness of Airflow web server. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/web_server/memory/bytes_used BETA(project)
Web server memory usage
GAUGEINT64By
cloud_composer_environment
internal_composer_environment
Memory usage of the web server instance in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
instance_id: Name of the Compute Engine instance running the web server.
environment/web_server/memory/quota BETA(project)
Web server memory quota
GAUGEINT64By
cloud_composer_environment
internal_composer_environment
Maximum RAM size in bytes of the web server instance. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
image_version: Version of Composer image.
instance_id: Name of the Compute Engine instance running the web server.
environment/worker/max_workers BETA(project)
Maximum Airflow workers
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Maximum number of Airflow workers. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/worker/min_workers BETA(project)
Minimum Airflow workers
GAUGEINT641
cloud_composer_environment
internal_composer_environment
Minimum number of Airflow workers. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/worker/pod_eviction_count BETA(project)
Worker Pod Eviction Count
DELTAINT641
cloud_composer_environment
internal_composer_environment
The number of Airflow worker pods evictions. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
environment/worker/scale_factor_target BETA(project)
Workers scale factor target
GAUGEDOUBLE1
cloud_composer_environment
internal_composer_environment
Scale factor for Airflow workers count. Sampled every 30 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
queue_name: Name of the Airflow queue. See https://airflow.apache.org/docs/stable/concepts.html#queues.
environment/zombie_task_killed_count BETA(project)
Zombie Tasks Killed
DELTAINT641
cloud_composer_environment
internal_composer_environment
Number of zombie tasks killed. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workflow/dag/run_duration BETA(project)
DAG run duration
GAUGEDOUBLEms
cloud_composer_workflow
internal_composer_workflow
Time taken for a DAG run to reach terminal state (corresponds to "dagrun.duration.success.<dag_id>", "dagrun.duration.failed.<dag_id>" Airflow metrics). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
status: DAG run status, one of [success, failed].
workflow/dependency_check_duration BETA(project)
DAG dependency check duration
GAUGEDOUBLEms
cloud_composer_workflow
internal_composer_workflow
Time taken to check DAG dependencies (corresponds to "dagrun.dependency-check.<dag_id>" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workflow/run_count BETA(project)
Workflow Runs
DELTAINT641
cloud_composer_workflow
internal_composer_workflow
Number of workflow runs completed so far. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: State of workflow run, one of [success, shutdown, skipped, failed].
image_version: Version of Composer image.
workflow/run_duration BETA(project)
Workflow Run Duration
GAUGEDOUBLEs
cloud_composer_workflow
internal_composer_workflow
Duration of workflow run completion. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: State of workflow run, one of [success, shutdown, skipped, failed].
image_version: Version of Composer image.
workflow/schedule_delay BETA(project)
DAG run schedule delay
GAUGEDOUBLEms
cloud_composer_workflow
internal_composer_workflow
Delay between the scheduled DagRun start date and the actual DagRun start date (corresponds to "dagrun.schedule_delay.<dag_id>" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workflow/task/log_file_size BETA(project)
Workflow Task Log Size
GAUGEINT64By
cloud_composer_workflow
internal_composer_workflow
Size of log file generated by workflow task in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: State of task, one of [success, shutdown, skipped, failed].
image_version: Version of Composer image.
task_name: Name of task.
operator: Operator of task.
workflow/task/removed_from_dag_count BETA(project)
Tasks removed from DAG
CUMULATIVEINT641
cloud_composer_workflow
internal_composer_workflow
Total number of tasks removed for a given DAG, i.e. task no longer exists in DAG (corresponds to "task_removed_from_dag.<dag_id>" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workflow/task/restored_to_dag_count BETA(project)
Tasks restored to DAG
CUMULATIVEINT641
cloud_composer_workflow
internal_composer_workflow
Total number of tasks restored for a given DAG, i.e. task instance which was previously in REMOVED state in the DB is added to DAG file (corresponds to "task_restored_to_dag.<dag_id>" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workflow/task/run_count BETA(project)
Tasks
DELTAINT641
cloud_composer_workflow
internal_composer_workflow
Number of workflow tasks completed so far. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: State of task, one of [success, shutdown, skipped, failed].
image_version: Version of Composer image.
queue: The queue used by a task.
task_name: Name of task.
operator: Operator of task.
workflow/task/run_duration BETA(project)
Task Duration
GAUGEDOUBLEs
cloud_composer_workflow
internal_composer_workflow
Duration of task completion. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: State of task, one of [success, shutdown, skipped, failed].
image_version: Version of Composer image.
task_name: Name of task.
operator: Operator of task.
workflow/task/schedule_delay BETA(project)
Task schedule delay
GAUGEDOUBLEms
cloud_composer_workflow
internal_composer_workflow
Time elapsed between the first task start_date and DagRun expected start (corresponds to "dagrun.<dag_id>.first_task_scheduling_delay" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workflow/task_instance/finished_count BETA(project)
Completed task instances
CUMULATIVEINT641
cloud_composer_workflow
internal_composer_workflow
Total number of finished task instances (corresponds to "ti.finish.<dag_id>.<task_id>.<state>" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
task_id: ID of the task.
status: Task instance status, such as "skipped" or "success".
workflow/task_instance/queued_duration BETA(project)
Task instance queued duration
GAUGEDOUBLEms
cloud_composer_workflow
internal_composer_workflow
Time taken in queued state (corresponds to "dag.<dag_id>.<task_id>.queued_duration" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
task_id: ID of the task.
workflow/task_instance/run_duration BETA(project)
Task instance run duration
GAUGEDOUBLEms
cloud_composer_workflow
internal_composer_workflow
Time taken to finish a task (corresponds to "dag.<dag_id>.<task_id>.duration" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
task_id: ID of the task.
workflow/task_instance/started_count BETA(project)
Started tasks
CUMULATIVEINT641
cloud_composer_workflow
internal_composer_workflow
Total number of tasks started in a given DAG (corresponds to "ti.start.<dag_id>.<task_id>" Airflow metric). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
task_id: ID of the task.
workflow/task_runner/terminated_count BETA(project)
Task runner termination count
DELTAINT641
cloud_composer_workflow
internal_composer_workflow
Number of workflow tasks where the task runner got terminated with a return code. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
task_id: ID of the task.
return_code: Signed return code of the process, one of [-9 (SIGKILL), -16 (SIGTERM), 0, 1].
workload/cpu/reserved_cores BETA(project)
Workload CPU reserved cores
GAUGEDOUBLE1
cloud_composer_workload
internal_composer_workload
Number of cores reserved for the workload instance. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workload/cpu/usage_time BETA(project)
Workload CPU usage time
DELTADOUBLEs
cloud_composer_workload
internal_composer_workload
CPU usage time of the workload instance. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workload/disk/bytes_used BETA(project)
Workload disk usage
GAUGEINT64By
cloud_composer_workload
internal_composer_workload
Used disk space in bytes on the workload instance. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workload/disk/quota BETA(project)
Workload disk quota
GAUGEINT64By
cloud_composer_workload
internal_composer_workload
Maximum data disk size in bytes of the workload instance. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workload/log_entry_count BETA(project)
Log entries
CUMULATIVEINT641
cloud_composer_workload
internal_composer_workload
Total number of log occurrences with a specified severity level. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
severity: Severity of log entry, one of [ERROR, WARNING, INFO].
workload/memory/bytes_used BETA(project)
Workload memory usage
GAUGEINT64By
cloud_composer_workload
internal_composer_workload
Memory usage of the workload instance in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workload/memory/quota BETA(project)
Workload memory quota
GAUGEINT64By
cloud_composer_workload
internal_composer_workload
Maximum RAM size in bytes of the workload instance. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workload/restart_count BETA(project)
Workload restarts count
CUMULATIVEINT641
cloud_composer_workload
internal_composer_workload
Total number of workload restarts. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
type: Type of workload restart, one of [PROCESS, CONTAINER, POD].
workload/trigger/num_running ALPHA(project)
Running triggers
GAUGEINT641
cloud_composer_workload
internal_composer_workload
Number of running triggers in a triggerer. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.
workload/uptime BETA(project)
Workload uptime in seconds
GAUGEINT64s
cloud_composer_workload
internal_composer_workload
Time since workload created. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
image_version: Version of Composer image.

compute

Metrics from Compute Engine. These metrics do not require installation of the Monitoring or Logging agent, but to collect the compute.googleapis.com/guest metrics, you must enable the Container-Optimized OS Health Monitoring feature; for more information, see Container-Optimized OS.

Launch stages of these metrics: ALPHA BETA GA

The "metric type" strings in this table must be prefixed with compute.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
disk/async_replication/async_replication_state GA(project)
Async replication state
GAUGEINT641
gce_disk
Async replication disk pair's state. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
async_replication_state: State of the async replication pair.
secondary_disk_id: The ID of the secondary disk.
secondary_location: The zone or region where the secondary disk resides.
secondary_project_number: Project number to which the secondary disk belongs.
disk/async_replication/replication_network_compression_ratio GA(project)
Async replication network compression ratio
GAUGEDOUBLE1
gce_disk
Ratio of bytes transferred over the network to the bytes written to the disk. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
secondary_disk_id: The ID of the secondary disk.
secondary_location: The zone or region where the secondary disk resides.
secondary_project_number: Project number to which the secondary disk belongs.
disk/async_replication/sent_bytes_count GA(project)
Async replication sent bytes count
DELTAINT64By
gce_disk
Delta count of bytes sent through the cross-region network. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
secondary_disk_id: The ID of the secondary disk.
secondary_location: The zone or region where the secondary disk resides.
secondary_project_number: Project number to which the secondary disk belongs.
disk/async_replication/time_since_last_replication GA(project)
Async replication time since last replication
GAUGEINT64s
gce_disk
Seconds since the last replication was done. Also known as recovery point objective (RPO). Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
secondary_disk_id: The ID of the secondary disk.
secondary_location: The zone or region where the secondary disk resides.
secondary_project_number: Project number to which the secondary disk belongs.
disk/regional/replica_state GA(project)
Regional disk replica state
GAUGEINT641
gce_disk
Regional disk's replica state. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
state: Disk replica state, one of [Synced, CatchingUp, OutOfSync].
replica_zone: The zone where the disk replica is located.
storage_type: Storage type, one of [pd-standard, PD-Balanced, pd-ssd, PD-Extreme, Hyperdisk-Extreme, Hyperdisk-Throughput].
firewall/dropped_bytes_count GA(project)
Dropped bytes
DELTAINT64By
gce_instance
Count of incoming bytes dropped by the firewall. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
firewall/dropped_packets_count GA(project)
Dropped packets
DELTAINT641
gce_instance
Count of incoming packets dropped by the firewall. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
global_concurrent_operations ALPHA(project)
Concurrent global operations per project
DELTAINT641
compute.googleapis.com/OperationType
Concurrent quota for global operations.
global_dns/request_count GA(project)
GCE Project Global DNS Request Count
DELTAINT641
compute.googleapis.com/Location
The number of global internal DNS requests in a GCE project. After sampling, data is not visible for up to 1020 seconds.
zonal_dns_readiness: Classification of request as ready or risky for migration to zonal DNS.
guest/cpu/load_15m ALPHA(project)
CPU load average (15m)
GAUGEDOUBLE1
gce_instance
CPU Load (15 minute intervals). For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
guest/cpu/load_1m ALPHA(project)
CPU load average (1m)
GAUGEDOUBLE1
gce_instance
CPU Load (1 minute intervals). For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
guest/cpu/load_5m ALPHA(project)
CPU load average (5m)
GAUGEDOUBLE1
gce_instance
CPU Load (5 minute intervals). For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
guest/cpu/runnable_task_count BETA(project)
Runnable task count.
GAUGEDOUBLE1
gce_instance
The average number of runnable tasks in the run-queue. For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
guest/cpu/usage_time BETA(project)
CPU usage
CUMULATIVEDOUBLEs{CPU}
gce_instance
CPU usage, in seconds. For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
state: One of the following: idle, interrupt, nice, softirq, steal, system, user, wait.
guest/disk/bytes_used BETA(project)
Disk usage
GAUGEINT64By
gce_instance
Number of bytes used on disk for file systems. For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
mountoption: Mount options on the disk device.
mount_option: Mount options on the disk device.
device_name: The name of the disk device.
state: Type of usage (free, used, reserved)
fstype: File system type of the disk device.
fs_type: File system type of the disk device.
guest/disk/io_time GA(project)
IO Time
CUMULATIVEINT64ms
gce_instance
The cumulative time spent on the I/O operations that are in progress; that is, the actual time in queue and when disks were busy. Requests issued in parallel are counted as a single one. For Container-Optimized OS, or Ubuntu running GKE. Sampled every 60 seconds.
instance_name: The name of the VM instance.
device_name: The name of the disk device.
guest/disk/merged_operation_count BETA(project)
Merged disk operations
CUMULATIVEINT641
gce_instance
Merged disk operations count. Disk operations which are adjacent to each other may be merged by the kernel for efficiency. For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
device_name: The name of the disk device.
direction: Direction (read, write).
guest/disk/operation_bytes_count BETA(project)
Disk bytes transferred
CUMULATIVEINT64By
gce_instance
Bytes transferred in disk operations. For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
device_name: The name of the disk device.
direction: Direction (read, write).
guest/disk/operation_count BETA(project)
Disk operations
CUMULATIVEINT641
gce_instance
Disk operations count. For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
device_name: The name of the disk device.
direction: Direction (read, write).
guest/disk/operation_time BETA(project)
Disk operation time
CUMULATIVEINT64ms
gce_instance
Amount of time spent on the disk operations, by direction. This metric only includes time spent on completed operations. For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
device_name: The name of the disk device.
direction: Direction (read, write).
guest/disk/queue_length GA(project)
Queue Length
GAUGEDOUBLE1
gce_instance
The queue length on the disk averaged over the last 60 seconds. For Container-Optimized OS, or Ubuntu running GKE. Sampled every 60 seconds.
instance_name: The name of the VM instance.
device_name: The name of the disk device.
guest/disk/weighted_io_time GA(project)
IO Time
CUMULATIVEINT64ms
gce_instance
The cumulative weighted IO time spent on the disk. For Container-Optimized OS, or Ubuntu running GKE. Sampled every 60 seconds.
instance_name: The name of the VM instance.
device_name: The name of the disk device.
guest/memory/anonymous_used BETA(project)
Anonymous memory usage in Bytes
GAUGEINT64By
gce_instance
Anonymous memory usage, in Bytes. Summing values of all states yields the total anonymous memory used. For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
state: One of the following: active, inactive. Active means the memory has been used more recently.
guest/memory/bytes_used BETA(project)
Memory usage in Bytes
GAUGEINT64By
gce_instance
Memory usage by each memory state, in Bytes. Summing values of all states yields the total memory on the machine. For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
state: One of the following: buffered, cached, free, slab, used. Buffered consists of temporary storage for raw disk blocks. Cached consists of the pagecache and tmpfs usage. Free consists of total free memory. Slab consists of memory used for caching in-kernel data structures. Used is calculated by subtracting the values for the other states from the total available memory.
guest/memory/dirty_used BETA(project)
Dirty pages usage in Bytes.
GAUGEINT64By
gce_instance
Dirty pages usage, in Bytes. For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
state: One of the following: dirty, writeback. Dirty means the memory is waiting to be written back to disk, and writeback means the memory is actively being written back to disk.
guest/memory/page_cache_used BETA(project)
Page cache memory usage in Bytes
GAUGEINT64By
gce_instance
Page cache memory usage, in Bytes. Summing values of all states yields the total anonymous memory used. For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
state: One of the following: active, inactive. Active means the memory has been used more recently and usually not reclaimed until needed.
guest/memory/unevictable_used BETA(project)
Unevictable memory usage in Bytes
GAUGEINT64By
gce_instance
Unevictable memory usage, in Bytes. For Container-Optimized OS, or Ubuntu running GKE.
instance_name: The name of the VM instance.
guest/system/os_feature_enabled BETA(project)
OS Feature
GAUGEINT641
gce_instance
OS Features like GPU support, KTD kernel, third party modules as unknown modules. 1 if the feature is enabled and 0, if disabled. For Container-Optimized OS, or Ubuntu running GKE. Sampled every 60 seconds.
instance_name: The name of the VM instance.
value: Value for the features of the guest os system if present.
os_feature: Features of the guest OS system.
guest/system/problem_count GA(project)
Problem Count
CUMULATIVEINT641
gce_instance
Number of times a machine problem has happened. For Container-Optimized OS, or Ubuntu running GKE. Sampled every 60 seconds.
instance_name: The name of the VM instance.
reason: Description of the type of the problem.
guest/system/problem_state GA(project)
Problem State
GAUGEINT641
gce_instance
Whether a problem is affecting the system or not. The problem is affecting the system when set to 1 and is not affecting the system when set to 0. For Container-Optimized OS, or Ubuntu running GKE. Sampled every 60 seconds.
instance_name: The name of the VM instance.
reason: Description of the cause of the problem.
type: Description of the type of the problem.
guest/system/uptime GA(project)
Uptime
GAUGEINT64s
gce_instance
Number of seconds that the operating system has been running for. For Container-Optimized OS, or Ubuntu running GKE. Sampled every 60 seconds.
instance_name: The name of the VM instance.
kernel_version: The version of the operating system kernel.
os_version: The version of the operating system.
instance/cpu/guest_visible_vcpus BETA(project)
Guest Visible vCPUs
GAUGEDOUBLE1
gce_instance
Number of vCPUs visible inside the guest. For many GCE machine types, the number of vCPUs visible inside the guest is equal to the `compute.googleapis.com/instance/cpu/reserved_cores` metric. For shared-core machine types, the number of guest-visible vCPUs differs from the number of resereved cores. For example, e2-small instances have two vCPUs visible inside the guest and 0.5 fractional vCPUs reserved. Therefore, for an e2-small instance, `compute.googleapis.com/instance/cpu/guest_visible_vcpus` has a value of 2 and `compute.googleapis.com/instance/cpu/reserved_cores` has a value of 0.5. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
instance/cpu/reserved_cores GA(project)
Reserved vCPUs
GAUGEDOUBLE1
gce_instance
Number of vCPUs reserved on the host of the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
instance/cpu/scheduler_wait_time GA(project)
Scheduler Wait Time
DELTADOUBLEs{idle}
gce_instance
Wait time is the time a vCPU is ready to run, but unexpectedly not scheduled to run. The wait time returned here is the accumulated value for all vCPUs. The time interval for which the value was measured is returned by Monitoring in whole seconds as start_time and end_time. This metric is only available for VMs that belong to the e2 family or to overcommitted VMs on sole-tenant nodes. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
instance/cpu/usage_time GA(project)
CPU usage
DELTADOUBLEs{CPU}
gce_instance
Delta vCPU usage for all vCPUs, in vCPU-seconds. To compute the per-vCPU utilization fraction, divide this value by (end-start)*N, where end and start define this value's time interval and N is `compute.googleapis.com/instance/cpu/reserved_cores` at the end of the interval. This value is reported by the hypervisor for the VM and can differ from `agent.googleapis.com/cpu/usage_time`, which is reported from inside the VM. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
instance/cpu/utilization GA(project)
CPU utilization
GAUGEDOUBLE10^2.%
gce_instance
Fractional utilization of allocated CPU on this instance. Values are typically numbers between 0.0 and 1.0 (but some machine types allow bursting above 1.0). Charts display the values as a percentage between 0% and 100% (or more). This metric is reported by the hypervisor for the VM and can differ from `agent.googleapis.com/cpu/utilization`, which is reported from inside the VM. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
instance/disk/average_io_latency GA(project)
Disk average latency
GAUGEDOUBLEus
gce_instance
Disk's average io latency in the last 60s. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
device_name: The name of the disk device.
storage_type: Storage type, one of [pd-standard, pd-balanced, pd-ssd, pd-extreme, hyperdisk-extreme, hyperdisk-throughput].
instance/disk/average_io_queue_depth GA(project)
Disk average io queue depth
GAUGEDOUBLE1
gce_instance
Disk's average io queue depth in the last 60s. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
device_name: The name of the disk device.
storage_type: Storage type, one of [pd-standard, pd-balanced, pd-ssd, pd-extreme, hyperdisk-extreme, hyperdisk-throughput].
instance/disk/max_read_bytes_count GA(project)
Peak disk read bytes
GAUGEINT64By
gce_instance
Disk's maximum per-second read throughput over a period of time specified by the user. The period must be one minute or longer. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
device_name: The name of the disk device.
storage_type: Storage type, one of [pd-standard, PD-Balanced, pd-ssd, PD-Extreme, Hyperdisk-Extreme, Hyperdisk-Throughput].
device_type: Disk type, one of [ephemeral, permanent].
instance/disk/max_read_ops_count GA(project)
Peak disk read ops
GAUGEINT641
gce_instance
Disk's maximum per-second read requests count over a period of time specified by the user. The period must be one minute or longer. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
device_name: The name of the disk device.
storage_type: Storage type, one of [pd-standard, pd-ssd, PD-Balanced, PD-Extreme, Hyperdisk-Extreme, Hyperdisk-Throughput].
device_type: Disk type, one of [ephemeral, permanent].
instance/disk/max_write_bytes_count GA(project)
Peak disk write bytes
GAUGEINT64By
gce_instance
Disk's maximum per-second write throughput over a period of time specified by the user. The period must be one minute or longer. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
device_name: The name of the disk device.
storage_type: Storage type, one of [pd-standard, PD-Balanced, pd-ssd, PD-Extreme, Hyperdisk-Extreme, Hyperdisk-Throughput].
device_type: Disk type, one of [ephemeral, permanent].
instance/disk/max_write_ops_count GA(project)
Peak disk write ops
GAUGEINT641
gce_instance
Disk's maximum per-second write requests count over a period of time specified by the user. The period must be one minute or longer. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
device_name: The name of the disk device.
storage_type: Storage type, one of [pd-standard, PD-Balanced, pd-ssd, PD-Extreme, Hyperdisk-Extreme, Hyperdisk-Throughput].
device_type: Disk type, one of [ephemeral, permanent].
instance/disk/performance_status BETA(project)
Disk performance status
GAUGEBOOL1
gce_instance
Whether the disk performance is normal or could potentially be impacted by an issue within Compute Engine during the period of time specified by the user. The period must be one minute or longer. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
device_name: The name of the disk device.
storage_type: Storage type, one of [pd-standard, pd-balanced, pd-ssd, pd-extreme, hyperdisk-extreme, hyperdisk-throughput, hyperdisk-balanced].
performance_status: One of ["Healthy", "Degraded" or "Severely Degraded"].
instance/disk/provisioning/iops BETA(project)
Provisioned disk IOPS
GAUGEINT641
gce_instance
Disk's provisioned IOPS specified by the user. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
device_name: The name of the disk device.
storage_type: Storage type, one of [pd-standard, pd-balanced, pd-ssd, pd-extreme, hyperdisk-balanced, hyperdisk-extreme, hyperdisk-throughput].
instance/disk/provisioning/size BETA(project)
Provisioned disk size
GAUGEINT64By
gce_instance
Disk's provisioned size specified by the user. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
device_name: The name of the disk device.
storage_type: Storage type, one of [pd-standard, pd-balanced, pd-ssd, pd-extreme, hyperdisk-balanced, hyperdisk-extreme, hyperdisk-throughput].
instance/disk/provisioning/throughput BETA(project)
Provisioned disk throughput (bytes/sec)
GAUGEINT641
gce_instance
Disk's provisioned throughput (bytes/sec) specified by the user. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
device_name: The name of the disk device.
storage_type: Storage type, one of [pd-standard, pd-balanced, pd-ssd, pd-extreme, hyperdisk-balanced, hyperdisk-extreme, hyperdisk-throughput].
instance/disk/read_bytes_count GA(project)
Disk read bytes
DELTAINT64By
gce_instance
Count of bytes read from disk. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
device_name: The name of the disk device.
storage_type: Storage type, one of [pd-standard, pd-balanced, pd-ssd, pd-extreme, local-ssd, hyperdisk-extreme, hyperdisk-throughput].
device_type: Disk type, one of [ephemeral, permanent].
instance/disk/read_ops_count GA(project)
Disk read operations
DELTAINT641
gce_instance
Count of disk read IO operations. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
device_name: The name of the disk device.
storage_type: Storage type, one of [pd-standard, pd-balanced, pd-ssd, pd-extreme, local-ssd, hyperdisk-extreme, hyperdisk-throughput].
device_type: Disk type, one of [ephemeral, permanent].
instance/disk/write_bytes_count GA(project)
Disk write bytes
DELTAINT64By
gce_instance
Count of bytes written to disk. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
device_name: The name of the disk device.
storage_type: Storage type, one of [pd-standard, pd-balanced, pd-ssd, pd-extreme, local-ssd, hyperdisk-extreme, hyperdisk-throughput].
device_type: Disk type, one of [ephemeral, permanent].
instance/disk/write_ops_count GA(project)
Disk write operations
DELTAINT641
gce_instance
Count of disk write IO operations. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
device_name: The name of the disk device.
storage_type: Storage type, one of [pd-standard, pd-balanced, pd-ssd, pd-extreme, local-ssd, hyperdisk-extreme, hyperdisk-throughput].
device_type: Disk type, one of [ephemeral, permanent].
instance/global_dns/request_count ALPHA(project)
GCE VM Global DNS Request Count
DELTAINT641
gce_instance
The number of global internal DNS requests in a GCE VM.
vm_zonal_dns_readiness: Classification of request as ready or risky for migration to zonal DNS.
instance/integrity/early_boot_validation_status BETA(project)
Early Boot Validation
GAUGEINT641
gce_instance
The validation status of early boot integrity policy. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
status: One of "passed", "failed", or "unknown".
instance/integrity/late_boot_validation_status BETA(project)
Late Boot Validation
GAUGEINT641
gce_instance
The validation status of late boot integrity policy. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
status: One of "passed", "failed", or "unknown".
instance/memory/balloon/ram_size GA(project)
VM Memory Total
GAUGEINT64By
gce_instance
The total amount of memory in the VM. This metric is only available for VMs that belong to the e2 family. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
instance/memory/balloon/ram_used GA(project)
VM Memory Used
GAUGEINT64By
gce_instance
Memory currently used in the VM. This metric is only available for VMs that belong to the e2 family. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
instance/memory/balloon/swap_in_bytes_count GA(project)
VM Swap In
DELTAINT64By
gce_instance
The amount of memory read into the guest from its own swap space. This metric is only available for VMs that belong to the e2 family. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
instance/memory/balloon/swap_out_bytes_count GA(project)
VM Swap Out
DELTAINT64By
gce_instance
The amount of memory written from the guest to its own swap space. This metric is only available for VMs that belong to the e2 family. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
instance/network/received_bytes_count GA(project)
Received bytes
DELTAINT64By
gce_instance
Count of bytes received from the network. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
loadbalanced: (BOOL) Whether traffic was received by an L3 loadbalanced IP address assigned to the VM. Traffic that is externally routed to the VM's standard internal or external IP address, such as L7 loadbalanced traffic, is not considered to be loadbalanced in this metric.
instance/network/received_packets_count GA(project)
Received packets
DELTAINT641
gce_instance
Count of packets received from the network. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
loadbalanced: (BOOL) Whether traffic was received by an L3 loadbalanced IP address assigned to the VM. Traffic that is externally routed to the VM's standard internal or external IP address, such as L7 loadbalanced traffic, is not considered to be loadbalanced in this metric.
instance/network/sent_bytes_count GA(project)
Sent bytes
DELTAINT64By
gce_instance
Count of bytes sent over the network. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
loadbalanced: (BOOL) Whether traffic was sent from an L3 loadbalanced IP address assigned to the VM. Traffic that is externally routed from the VM's standard internal or external IP address, such as L7 loadbalanced traffic, is not considered to be loadbalanced in this metric.
instance/network/sent_packets_count GA(project)
Sent packets
DELTAINT641
gce_instance
Count of packets sent over the network. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
loadbalanced: (BOOL) Whether traffic was sent from an L3 loadbalanced IP address assigned to the VM. Traffic that is externally routed from the VM's standard internal or external IP address, such as L7 loadbalanced traffic, is not considered to be loadbalanced in this metric.
instance/uptime GA(project)
Uptime
DELTADOUBLEs{uptime}
gce_instance
Delta of how long the VM has been running, in seconds. Note: to get the total number of seconds since VM start, use compute.googleapis.com/instance/uptime_total. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance_name: The name of the VM instance.
instance/uptime_total GA(project)
Uptime Total
GAUGEINT64s
gce_instance
Elapsed time since the VM was started, in seconds. After sampling, data is not visible for up to 120 seconds. When VM is Stopped (https://cloud.google.com/compute/docs/instances/stop-start-instance#stop-vm-google-cloud), the time is not calculated. On starting the VM again, the timer will reset to 0 for that VM. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
instance_name: The name of the VM instance.
instance_group/predicted_capacity BETA(project)
Instance group capacity as predicted
GAUGEDOUBLE1
instance_group
Estimated capacity that the instance group will have if predictive autoscaling is enabled. Currently available only for autoscaled instance groups and equal to the predicted number of serving VMs multiplied by utilization target. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
metric_type: Metric for which utilization target is used, e.g., cpu.
instance_group/predicted_size BETA(project)
Instance group size as predicted
GAUGEINT641
instance_group
Estimated number of VMs that the instance group will have if predictive autoscaling is enabled. Currently available only for autoscaled instance groups. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
metric_type: Metric for which utilization target is used, e.g., cpu.
instance_group/predicted_utilization BETA(project)
Instance group utilization as predicted
GAUGEDOUBLE1
instance_group
The sum of the estimated values of the scaling metric for all serving VMs if predictive autoscaling is enabled. Currently available only for autoscaled instance groups. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
metric_type: Metric for which utilization is predicted, e.g., cpu.
instance_group/size GA(project)
Instance group size
GAUGEINT641
instance_group
The number of VMs in the instance group. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
inter_region_egress_bandwidth ALPHA(project)
Inter-Region Network Egress Bandwidth (bps) from Compute instances
DELTAINT64Mbit
compute.googleapis.com/Location
Inter-Region Network Egress Bandwidth (bps) from Compute instances.
remote_location: Cloud Region.
mirroring/dropped_packets_count GA(project)
Dropped packets
DELTAINT641
gce_instance
Count of dropped mirrored packets. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
reason: The reason for the packet drop.
mirroring/mirrored_bytes_count GA(project)
Mirrored bytes
DELTAINT64By
gce_instance
Count of mirrored bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
ip_protocol: The ip protocol of the mirrored bytes, one of [IPv4, IPv6].
mirroring/mirrored_packets_count GA(project)
Mirrored packets
DELTAINT641
gce_instance
Count of mirrored packets. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
ip_protocol: The ip protocol of the mirrored packets, one of [IPv4, IPv6].
nat/allocated_ports GA(project)
Allocated ports
GAUGEINT64{port}
gce_instance
Number of ports allocated to a VM by the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
nat_project_number: The project number to which the NAT gateway belongs.
router_id: The Cloud Router ID to which the NAT gateway belongs.
nat_gateway_name: The name of the NAT gateway.
nat_ip: The NAT IP allocated to the NAT gateway.
nat/closed_connections_count GA(project)
Closed connections count
DELTAINT64{connection}
gce_instance
Count of connections closed over the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
nat_project_number: The project number to which the NAT gateway belongs.
router_id: The Cloud Router ID to which the NAT gateway belongs.
nat_gateway_name: The name of the NAT gateway.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/dropped_received_packets_count GA(project)
Received packets dropped count
DELTAINT64{packet}
gce_instance
Count of received packets dropped by the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
nat_project_number: The project number to which the NAT gateway belongs.
router_id: The Cloud Router ID to which the NAT gateway belongs.
nat_gateway_name: The name of the NAT gateway.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/dropped_sent_packets_count GA(project)
Sent packets dropped count
DELTAINT64{packet}
gce_instance
Count of sent packets dropped by the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
nat_project_number: The project number to which the NAT gateway belongs.
router_id: The Cloud Router ID to which the NAT gateway belongs.
nat_gateway_name: The name of the NAT gateway.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
reason: The reason for the packet drop. Possible values are OUT_OF_RESOURCES, ENDPOINT_INDEPENDENCE_CONFLICT.
nat/new_connections_count GA(project)
New connections count
DELTAINT64{connection}
gce_instance
Count of new connections created over the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
nat_project_number: The project number to which the NAT gateway belongs.
router_id: The Cloud Router ID to which the NAT gateway belongs.
nat_gateway_name: The name of the NAT gateway.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/open_connections GA(project)
Open connections
GAUGEINT64{connection}
gce_instance
Number of connections currently open on the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
nat_project_number: The project number to which the NAT gateway belongs.
router_id: The Cloud Router ID to which the NAT gateway belongs.
nat_gateway_name: The name of the NAT gateway.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/port_usage GA(project)
Port usage
GAUGEINT64{port}
gce_instance
Maximum number of connections from a VM to a single internet endpoint (IP:port). Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
nat_project_number: The project number to which the NAT gateway belongs.
router_id: The Cloud Router ID to which the NAT gateway belongs.
nat_gateway_name: The name of the NAT gateway.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/received_bytes_count GA(project)
Received bytes count
DELTAINT64By
gce_instance
Count of bytes received (destination -> VM) via the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
nat_project_number: The project number to which the NAT gateway belongs.
router_id: The Cloud Router ID to which the NAT gateway belongs.
nat_gateway_name: The name of the NAT gateway.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/received_packets_count GA(project)
Received packets count
DELTAINT64{packet}
gce_instance
Count of packets received (destination -> VM) via the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
nat_project_number: The project number to which the NAT gateway belongs.
router_id: The Cloud Router ID to which the NAT gateway belongs.
nat_gateway_name: The name of the NAT gateway.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/sent_bytes_count GA(project)
Sent bytes count
DELTAINT64By
gce_instance
Count of bytes sent (VM -> destination) over the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
nat_project_number: The project number to which the NAT gateway belongs.
router_id: The Cloud Router ID to which the NAT gateway belongs.
nat_gateway_name: The name of the NAT gateway.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/sent_packets_count GA(project)
Sent packets count
DELTAINT64{packet}
gce_instance
Count of packets sent (VM -> destination) over the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
nat_project_number: The project number to which the NAT gateway belongs.
router_id: The Cloud Router ID to which the NAT gateway belongs.
nat_gateway_name: The name of the NAT gateway.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
private_service_connect/consumer/closed_connections_count BETA(project)
Closed connections count
DELTAINT64{connection}
compute.googleapis.com/PrivateServiceConnectEndpoint
Count of TCP/UDP connections closed over a PSC connection ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
private_service_connect/consumer/dropped_received_packets_count BETA(project)
Received packets dropped count
DELTAINT64{packet}
compute.googleapis.com/PrivateServiceConnectEndpoint
Count of received packets dropped by a PSC connection ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
private_service_connect/consumer/dropped_sent_packets_count BETA(project)
Sent packets dropped count
DELTAINT64{packet}
compute.googleapis.com/PrivateServiceConnectEndpoint
Count of sent packets dropped by a PSC connection ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
private_service_connect/consumer/new_connections_count BETA(project)
New connections count
DELTAINT64{connection}
compute.googleapis.com/PrivateServiceConnectEndpoint
Count of new TCP/UDP connections created over a PSC connection ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
private_service_connect/consumer/open_connections BETA(project)
Open connections
GAUGEINT64{connection}
compute.googleapis.com/PrivateServiceConnectEndpoint
Number of TCP/UDP connections currently open on a PSC connection ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
private_service_connect/consumer/received_bytes_count BETA(project)
Received bytes count
DELTAINT64By
compute.googleapis.com/PrivateServiceConnectEndpoint
Count of bytes received (PSC -> Clients) over a PSC connection ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
private_service_connect/consumer/received_packets_count BETA(project)
Received packets count
DELTAINT64{packet}
compute.googleapis.com/PrivateServiceConnectEndpoint
Count of packets received (PSC -> Clients) over a PSC connection ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
private_service_connect/consumer/sent_bytes_count BETA(project)
Sent bytes count
DELTAINT64By
compute.googleapis.com/PrivateServiceConnectEndpoint
Count of bytes sent (Clients -> PSC) over a PSC connection ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
private_service_connect/consumer/sent_packets_count BETA(project)
Sent packets count
DELTAINT64{packet}
compute.googleapis.com/PrivateServiceConnectEndpoint
Count of packets sent (Clients -> PSC) over a PSC connection ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
private_service_connect/producer/closed_connections_count BETA(project)
Closed connections count
DELTAINT64{connection}
gce_service_attachment
Count of TCP/UDP connections closed over a PSC Service Attachment resource ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
psc_connection_id: The Private Service Connect connection ID of the Private Service Connect Forwarding Rule.
private_service_connect/producer/connected_consumer_forwarding_rules GA(project)
Connected consumer forwarding rules
GAUGEINT641
gce_service_attachment
Number of Consumer Forwarding Rules connected to a PSC Service Attachment resource ID. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
private_service_connect/producer/dropped_received_packets_count BETA(project)
Received packets dropped count
DELTAINT64{packet}
gce_service_attachment
Count of received packets dropped by a PSC Service Attachment resource ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
psc_connection_id: The Private Service Connect connection ID of the Private Service Connect Forwarding Rule.
private_service_connect/producer/dropped_sent_packets_count BETA(project)
Sent packets dropped count
DELTAINT64{packet}
gce_service_attachment
Count of sent packets dropped by a PSC Service Attachment resource ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
psc_connection_id: The Private Service Connect connection ID of the Private Service Connect Forwarding Rule.
private_service_connect/producer/nat_ip_address_capacity BETA(project)
Nat ip address capacity
GAUGEINT641
gce_service_attachment
Number of total IP addresses of a PSC Service Attachment resource ID. (Value -1 means the number is larger than the max value of INT64.) Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
private_service_connect/producer/new_connections_count BETA(project)
New connections count
DELTAINT64{connection}
gce_service_attachment
Count of new TCP/UDP connections created over a PSC Service Attachment resource ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
psc_connection_id: The Private Service Connect connection ID of the Private Service Connect Forwarding Rule.
private_service_connect/producer/open_connections BETA(project)
Open connections
GAUGEINT64{connection}
gce_service_attachment
Number of TCP/UDP connections currently open on a PSC Service Attachment resource ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
psc_connection_id: The Private Service Connect connection ID of the Private Service Connect Forwarding Rule.
private_service_connect/producer/received_bytes_count BETA(project)
Received bytes count
DELTAINT64By
gce_service_attachment
Count of bytes received (PSC -> Service) over a PSC Service Attachment resource ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
psc_connection_id: The Private Service Connect connection ID of the Private Service Connect Forwarding Rule.
private_service_connect/producer/received_packets_count BETA(project)
Received packets count
DELTAINT64{packet}
gce_service_attachment
Count of packets received (PSC -> Service) over a PSC Service Attachment resource ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
psc_connection_id: The Private Service Connect connection ID of the Private Service Connect Forwarding Rule.
private_service_connect/producer/sent_bytes_count BETA(project)
Sent bytes count
DELTAINT64By
gce_service_attachment
Count of bytes sent (Service -> PSC) over a PSC Service Attachment resource ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
psc_connection_id: The Private Service Connect connection ID of the Private Service Connect Forwarding Rule.
private_service_connect/producer/sent_packets_count BETA(project)
Sent packets count
DELTAINT64{packet}
gce_service_attachment
Count of packets sent (Service -> PSC) over a PSC Service Attachment resource ID. Sampled every 60 seconds. After sampling, data is not visible for up to 345 seconds.
ip_protocol: The protocol of the connection. Can be TCP or UDP.
psc_connection_id: The Private Service Connect connection ID of the Private Service Connect Forwarding Rule.
private_service_connect/producer/used_nat_ip_addresses GA(project)
Used nat ip addresses
GAUGEINT641
gce_service_attachment
IP usage of the monitored service attachment. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
quota/cloud_router_prefixes_from_other_regions_per_region_per_vpc_network/limit ALPHA(project)
Unique Cloud Router dynamic route prefixes from other regions per region per VPC Network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/cloud_router_prefixes_from_other_regions_per_region_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/cloud_router_prefixes_from_other_regions_per_region_per_vpc_network/usage ALPHA(project)
Unique Cloud Router dynamic route prefixes from other regions per region per VPC Network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/cloud_router_prefixes_from_other_regions_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/cloud_router_prefixes_from_own_region_per_region_per_vpc_network/limit ALPHA(project)
Unique Cloud Router dynamic route prefixes from own region per region per VPC Network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/cloud_router_prefixes_from_own_region_per_region_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/cloud_router_prefixes_from_own_region_per_region_per_vpc_network/usage ALPHA(project)
Unique Cloud Router dynamic route prefixes from own region per region per VPC Network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/cloud_router_prefixes_from_own_region_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/concurrent/global_concurrent_operations/exceeded ALPHA(project)
Concurrent global operations per project concurrent quota exceeded
DELTAINT641
compute.googleapis.com/OperationType
Concurrent exceeded on quota metric compute.googleapis.com/global_concurrent_operations. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
time_window: time_window.
quota/concurrent/global_concurrent_operations/limit ALPHA(project)
Concurrent global operations per project concurrent quota limit
GAUGEINT641
compute.googleapis.com/OperationType
Concurrent limit on quota metric compute.googleapis.com/global_concurrent_operations. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
time_window: time_window.
quota/concurrent/global_concurrent_operations/usage ALPHA(project)
global_concurrent_operations usage
GAUGEINT641
compute.googleapis.com/OperationType
The concurrent usage of the quota. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
limit_name: The quota limit name, such as "Requests per day" or "In-use IP addresses".
time_window: The window size for concurrent operation limits.
quota/concurrent/regional_concurrent_operations/exceeded ALPHA(project)
Concurrent regional operations per project concurrent quota exceeded
DELTAINT641
compute.googleapis.com/OperationType
Concurrent exceeded on quota metric compute.googleapis.com/regional_concurrent_operations. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
time_window: time_window.
quota/concurrent/regional_concurrent_operations/limit ALPHA(project)
Concurrent regional operations per project concurrent quota limit
GAUGEINT641
compute.googleapis.com/OperationType
Concurrent limit on quota metric compute.googleapis.com/regional_concurrent_operations. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
time_window: time_window.
quota/concurrent/regional_concurrent_operations/usage ALPHA(project)
regional_concurrent_operations usage
GAUGEINT641
compute.googleapis.com/OperationType
The concurrent usage of the quota. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
limit_name: The quota limit name, such as "Requests per day" or "In-use IP addresses".
time_window: The window size for concurrent operation limits.
quota/cpus_per_vm_family/exceeded ALPHA(project)
CPU count per VM family. quota exceeded error
DELTAINT641
compute.googleapis.com/Location
Number of attempts to exceed the limit on quota metric compute.googleapis.com/cpus_per_vm_family. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
vm_family: VM family custom dimension.
quota/cpus_per_vm_family/limit ALPHA(project)
CPU count per VM family. quota limit
GAUGEINT641
compute.googleapis.com/Location
Current limit on quota metric compute.googleapis.com/cpus_per_vm_family. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
vm_family: VM family custom dimension.
quota/cpus_per_vm_family/usage ALPHA(project)
CPU count per VM family. quota usage
GAUGEINT641
compute.googleapis.com/Location
Current usage on quota metric compute.googleapis.com/cpus_per_vm_family. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
vm_family: VM family custom dimension.
quota/dynamic_routes_per_region_per_peering_group/limit GA(project)
Dynamic routes per region per peering group quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/dynamic_routes_per_region_per_peering_group. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/dynamic_routes_per_region_per_peering_group/usage GA(project)
Dynamic routes per region per peering group quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/dynamic_routes_per_region_per_peering_group. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/fqdns_per_global_network_firewall_policy/exceeded GA(project)
FQDN per global network firewall policy quota exceeded error
DELTAINT641
compute.googleapis.com/FirewallPolicy
Number of attempts to exceed the limit on quota metric compute.googleapis.com/fqdns_per_global_network_firewall_policy. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/fqdns_per_global_network_firewall_policy/limit GA(project)
FQDN per global network firewall policy quota limit
GAUGEINT641
compute.googleapis.com/FirewallPolicy
Current limit on quota metric compute.googleapis.com/fqdns_per_global_network_firewall_policy. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/fqdns_per_global_network_firewall_policy/usage GA(project)
FQDN per global network firewall policy quota usage
GAUGEINT641
compute.googleapis.com/FirewallPolicy
Current usage on quota metric compute.googleapis.com/fqdns_per_global_network_firewall_policy. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/fqdns_per_hierarchical_firewall_policy/exceeded GA(project)
Hierarchical firewall policy FQDN objects per firewall policy. quota exceeded error
DELTAINT641
compute.googleapis.com/FirewallPolicy
Number of attempts to exceed the limit on quota metric compute.googleapis.com/fqdns_per_hierarchical_firewall_policy. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/fqdns_per_hierarchical_firewall_policy/limit GA(project)
Hierarchical firewall policy FQDN objects per firewall policy. quota limit
GAUGEINT641
compute.googleapis.com/FirewallPolicy
Current limit on quota metric compute.googleapis.com/fqdns_per_hierarchical_firewall_policy. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/fqdns_per_hierarchical_firewall_policy/usage GA(project)
Hierarchical firewall policy FQDN objects per firewall policy. quota usage
GAUGEINT641
compute.googleapis.com/FirewallPolicy
Current usage on quota metric compute.googleapis.com/fqdns_per_hierarchical_firewall_policy. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/fqdns_per_regional_network_firewall_policy/exceeded GA(project)
FQDN per regional network firewall policy quota exceeded error
DELTAINT641
compute.googleapis.com/FirewallPolicy
Number of attempts to exceed the limit on quota metric compute.googleapis.com/fqdns_per_regional_network_firewall_policy. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/fqdns_per_regional_network_firewall_policy/limit GA(project)
FQDN per regional network firewall policy quota limit
GAUGEINT641
compute.googleapis.com/FirewallPolicy
Current limit on quota metric compute.googleapis.com/fqdns_per_regional_network_firewall_policy. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/fqdns_per_regional_network_firewall_policy/usage GA(project)
FQDN per regional network firewall policy quota usage
GAUGEINT641
compute.googleapis.com/FirewallPolicy
Current usage on quota metric compute.googleapis.com/fqdns_per_regional_network_firewall_policy. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/global_internal_managed_forwarding_rules_per_region_per_vpc_network/exceeded GA(project)
Cross Regional Internal Managed Load Balancer Forwarding Rules per region per VPC Network quota exceeded error
DELTAINT641
compute.googleapis.com/VpcNetwork
Number of attempts to exceed the limit on quota metric compute.googleapis.com/global_internal_managed_forwarding_rules_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/global_internal_managed_forwarding_rules_per_region_per_vpc_network/limit GA(project)
Cross Regional Internal Managed Load Balancer Forwarding Rules per region per VPC Network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/global_internal_managed_forwarding_rules_per_region_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/global_internal_managed_forwarding_rules_per_region_per_vpc_network/usage GA(project)
Cross Regional Internal Managed Load Balancer Forwarding Rules per region per VPC Network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/global_internal_managed_forwarding_rules_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/gpus_per_gpu_family/exceeded GA(project)
GPU count per GPU family. quota exceeded error
DELTAINT641
compute.googleapis.com/Location
Number of attempts to exceed the limit on quota metric compute.googleapis.com/gpus_per_gpu_family. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
gpu_family: GPU family custom dimension.
quota/gpus_per_gpu_family/limit GA(project)
GPU count per GPU family. quota limit
GAUGEINT641
compute.googleapis.com/Location
Current limit on quota metric compute.googleapis.com/gpus_per_gpu_family. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
gpu_family: GPU family custom dimension.
quota/gpus_per_gpu_family/usage GA(project)
GPU count per GPU family. quota usage
GAUGEINT641
compute.googleapis.com/Location
Current usage on quota metric compute.googleapis.com/gpus_per_gpu_family. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
gpu_family: GPU family custom dimension.
quota/instances_per_peering_group/limit GA(project)
Instances Per peering group quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/instances_per_peering_group. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/instances_per_peering_group/usage GA(project)
Instances Per peering group quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/instances_per_peering_group. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/instances_per_vpc_network/exceeded GA(project)
Instances Per VPC Network quota exceeded error
DELTAINT641
compute.googleapis.com/VpcNetwork
Number of attempts to exceed the limit on quota metric compute.googleapis.com/instances_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/instances_per_vpc_network/limit GA(project)
Instances Per VPC Network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/instances_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/instances_per_vpc_network/usage GA(project)
Instances Per VPC Network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/instances_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/inter_region_egress_bandwidth/exceeded ALPHA(project)
Inter-Region Network Egress Bandwidth (bps) from Compute instances quota exceeded error
DELTAINT641
compute.googleapis.com/Location
Number of attempts to exceed the limit on quota metric compute.googleapis.com/inter_region_egress_bandwidth. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
remote_location: Cloud Region.
quota/inter_region_egress_bandwidth/limit ALPHA(project)
Inter-Region Network Egress Bandwidth (bps) from Compute instances quota limit
GAUGEINT64Mbit
compute.googleapis.com/Location
Current limit on quota metric compute.googleapis.com/inter_region_egress_bandwidth. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
remote_location: Cloud Region.
quota/inter_region_egress_bandwidth/usage ALPHA(project)
Inter-Region Network Egress Bandwidth (bps) from Compute instances quota usage
DELTAINT64Mbit
compute.googleapis.com/Location
Current usage on quota metric compute.googleapis.com/inter_region_egress_bandwidth. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
remote_location: Cloud Region.
quota/interconnect_attachments_per_interconnect/exceeded GA(project)
Interconnect attachments per Interconnect quota exceeded error
DELTAINT641
compute.googleapis.com/Interconnect
Number of attempts to exceed the limit on quota metric compute.googleapis.com/interconnect_attachments_per_interconnect. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/interconnect_attachments_per_interconnect/limit GA(project)
Interconnect attachments per Interconnect quota limit
GAUGEINT641
compute.googleapis.com/Interconnect
Current limit on quota metric compute.googleapis.com/interconnect_attachments_per_interconnect. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/interconnect_attachments_per_interconnect/usage GA(project)
Interconnect attachments per Interconnect quota usage
GAUGEINT641
compute.googleapis.com/Interconnect
Current usage on quota metric compute.googleapis.com/interconnect_attachments_per_interconnect. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_lb_forwarding_rules_per_peering_group/limit GA(project)
Internal passthrough Network Load Balancer forwarding rules per peering group quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/internal_lb_forwarding_rules_per_peering_group. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_lb_forwarding_rules_per_peering_group/usage GA(project)
Internal passthrough Network Load Balancer forwarding rules per peering group quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/internal_lb_forwarding_rules_per_peering_group. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_lb_forwarding_rules_per_vpc_network/exceeded GA(project)
Internal passthrough Network Load Balancer forwarding rules per VPC network quota exceeded error
DELTAINT641
compute.googleapis.com/VpcNetwork
Number of attempts to exceed the limit on quota metric compute.googleapis.com/internal_lb_forwarding_rules_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_lb_forwarding_rules_per_vpc_network/limit GA(project)
Internal passthrough Network Load Balancer forwarding rules per VPC network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/internal_lb_forwarding_rules_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_lb_forwarding_rules_per_vpc_network/usage GA(project)
Internal passthrough Network Load Balancer forwarding rules per VPC network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/internal_lb_forwarding_rules_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_managed_forwarding_rules_per_peering_group/limit GA(project)
Internal Managed Forwarding Rules per peering group quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/internal_managed_forwarding_rules_per_peering_group. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_managed_forwarding_rules_per_peering_group/usage GA(project)
Internal Managed Forwarding Rules per peering group quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/internal_managed_forwarding_rules_per_peering_group. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_managed_forwarding_rules_per_vpc_network/exceeded GA(project)
Internal Managed Forwarding Rules per VPC Network quota exceeded error
DELTAINT641
compute.googleapis.com/VpcNetwork
Number of attempts to exceed the limit on quota metric compute.googleapis.com/internal_managed_forwarding_rules_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_managed_forwarding_rules_per_vpc_network/limit GA(project)
Internal Managed Forwarding Rules per VPC Network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/internal_managed_forwarding_rules_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_managed_forwarding_rules_per_vpc_network/usage GA(project)
Internal Managed Forwarding Rules per VPC Network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/internal_managed_forwarding_rules_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_protocol_forwarding_rules_per_peering_group/limit GA(project)
Internal protocol forwarding rules per peering group quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/internal_protocol_forwarding_rules_per_peering_group. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_protocol_forwarding_rules_per_peering_group/usage GA(project)
Internal protocol forwarding rules per peering group quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/internal_protocol_forwarding_rules_per_peering_group. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_protocol_forwarding_rules_per_vpc_network/exceeded GA(project)
Internal protocol forwarding rules per VPC network quota exceeded error
DELTAINT641
compute.googleapis.com/VpcNetwork
Number of attempts to exceed the limit on quota metric compute.googleapis.com/internal_protocol_forwarding_rules_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_protocol_forwarding_rules_per_vpc_network/limit GA(project)
Internal protocol forwarding rules per VPC network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/internal_protocol_forwarding_rules_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/internal_protocol_forwarding_rules_per_vpc_network/usage GA(project)
Internal protocol forwarding rules per VPC network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/internal_protocol_forwarding_rules_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/ip_aliases_per_peering_group/limit GA(project)
IP Aliases per peering group quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/ip_aliases_per_peering_group. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/ip_aliases_per_peering_group/usage GA(project)
IP Aliases per peering group quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/ip_aliases_per_peering_group. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/ip_aliases_per_vpc_network/exceeded GA(project)
IP Aliases per VPC Network quota exceeded error
DELTAINT641
compute.googleapis.com/VpcNetwork
Number of attempts to exceed the limit on quota metric compute.googleapis.com/ip_aliases_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/ip_aliases_per_vpc_network/limit GA(project)
IP Aliases per VPC Network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/ip_aliases_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/ip_aliases_per_vpc_network/usage GA(project)
IP Aliases per VPC Network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/ip_aliases_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/local_ssd_total_storage_per_vm_family/exceeded BETA(project)
Local SSD disk per VM family (GB). quota exceeded error
DELTAINT641
compute.googleapis.com/Location
Number of attempts to exceed the limit on quota metric compute.googleapis.com/local_ssd_total_storage_per_vm_family. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
vm_family: VM family custom dimension.
quota/local_ssd_total_storage_per_vm_family/limit BETA(project)
Local SSD disk per VM family (GB). quota limit
GAUGEINT64GBy
compute.googleapis.com/Location
Current limit on quota metric compute.googleapis.com/local_ssd_total_storage_per_vm_family. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
vm_family: VM family custom dimension.
quota/local_ssd_total_storage_per_vm_family/usage BETA(project)
Local SSD disk per VM family (GB). quota usage
GAUGEINT64GBy
compute.googleapis.com/Location
Current usage on quota metric compute.googleapis.com/local_ssd_total_storage_per_vm_family. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
vm_family: VM family custom dimension.
quota/peerings_per_vpc_network/exceeded GA(project)
Peerings Per VPC Network quota exceeded error
DELTAINT641
compute.googleapis.com/VpcNetwork
Number of attempts to exceed the limit on quota metric compute.googleapis.com/peerings_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/peerings_per_vpc_network/limit GA(project)
Peerings Per VPC Network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/peerings_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/peerings_per_vpc_network/usage GA(project)
Peerings Per VPC Network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/peerings_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/psc_google_apis_forwarding_rules_per_vpc_network/exceeded GA(project)
PSC Google APIs Forwarding Rules per VPC Network quota exceeded error
DELTAINT641
compute.googleapis.com/VpcNetwork
Number of attempts to exceed the limit on quota metric compute.googleapis.com/psc_google_apis_forwarding_rules_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/psc_google_apis_forwarding_rules_per_vpc_network/limit GA(project)
PSC Google APIs Forwarding Rules per VPC Network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/psc_google_apis_forwarding_rules_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/psc_google_apis_forwarding_rules_per_vpc_network/usage GA(project)
PSC Google APIs Forwarding Rules per VPC Network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/psc_google_apis_forwarding_rules_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/psc_ilb_consumer_forwarding_rules_per_producer_vpc_network/exceeded GA(project)
PSC ILB Consumer Forwarding Rules per Producer VPC Network quota exceeded error
DELTAINT641
compute.googleapis.com/VpcNetwork
Number of attempts to exceed the limit on quota metric compute.googleapis.com/psc_ilb_consumer_forwarding_rules_per_producer_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/psc_ilb_consumer_forwarding_rules_per_producer_vpc_network/limit GA(project)
PSC ILB Consumer Forwarding Rules per Producer VPC Network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/psc_ilb_consumer_forwarding_rules_per_producer_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/psc_ilb_consumer_forwarding_rules_per_producer_vpc_network/usage GA(project)
PSC ILB Consumer Forwarding Rules per Producer VPC Network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/psc_ilb_consumer_forwarding_rules_per_producer_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/psc_propagated_connections_per_vpc_network/exceeded GA(project)
PSC propagated connections per VPC Network quota exceeded error
DELTAINT641
compute.googleapis.com/VpcNetwork
Number of attempts to exceed the limit on quota metric compute.googleapis.com/psc_propagated_connections_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/psc_propagated_connections_per_vpc_network/limit GA(project)
PSC propagated connections per VPC Network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/psc_propagated_connections_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/psc_propagated_connections_per_vpc_network/usage GA(project)
PSC propagated connections per VPC Network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/psc_propagated_connections_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/regional_external_managed_forwarding_rules_per_region_per_vpc_network/exceeded GA(project)
Regional External Managed Forwarding Rules per region per VPC Network quota exceeded error
DELTAINT641
compute.googleapis.com/VpcNetwork
Number of attempts to exceed the limit on quota metric compute.googleapis.com/regional_external_managed_forwarding_rules_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/regional_external_managed_forwarding_rules_per_region_per_vpc_network/limit GA(project)
Regional External Managed Forwarding Rules per region per VPC Network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/regional_external_managed_forwarding_rules_per_region_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/regional_external_managed_forwarding_rules_per_region_per_vpc_network/usage GA(project)
Regional External Managed Forwarding Rules per region per VPC Network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/regional_external_managed_forwarding_rules_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/regional_internal_managed_forwarding_rules_per_region_per_vpc_network/exceeded GA(project)
Regional Internal Managed Forwarding Rules per region per VPC Network quota exceeded error
DELTAINT641
compute.googleapis.com/VpcNetwork
Number of attempts to exceed the limit on quota metric compute.googleapis.com/regional_internal_managed_forwarding_rules_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/regional_internal_managed_forwarding_rules_per_region_per_vpc_network/limit GA(project)
Regional Internal Managed Forwarding Rules per region per VPC Network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/regional_internal_managed_forwarding_rules_per_region_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/regional_internal_managed_forwarding_rules_per_region_per_vpc_network/usage GA(project)
Regional Internal Managed Forwarding Rules per region per VPC Network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/regional_internal_managed_forwarding_rules_per_region_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/rule_attributes_per_global_network_firewall_policy/exceeded GA(project)
Rule attributes per global network firewall policy quota exceeded error
DELTAINT641
compute.googleapis.com/FirewallPolicy
Number of attempts to exceed the limit on quota metric compute.googleapis.com/rule_attributes_per_global_network_firewall_policy. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/rule_attributes_per_global_network_firewall_policy/limit GA(project)
Rule attributes per global network firewall policy quota limit
GAUGEINT641
compute.googleapis.com/FirewallPolicy
Current limit on quota metric compute.googleapis.com/rule_attributes_per_global_network_firewall_policy. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/rule_attributes_per_global_network_firewall_policy/usage GA(project)
Rule attributes per global network firewall policy quota usage
GAUGEINT641
compute.googleapis.com/FirewallPolicy
Current usage on quota metric compute.googleapis.com/rule_attributes_per_global_network_firewall_policy. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/rule_attributes_per_hierarchical_firewall_policy/exceeded GA(project)
Hierarchical firewall policy rule attributes (atoms) per firewall policy. quota exceeded error
DELTAINT641
compute.googleapis.com/FirewallPolicy
Number of attempts to exceed the limit on quota metric compute.googleapis.com/rule_attributes_per_hierarchical_firewall_policy. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/rule_attributes_per_hierarchical_firewall_policy/limit GA(project)
Hierarchical firewall policy rule attributes (atoms) per firewall policy. quota limit
GAUGEINT641
compute.googleapis.com/FirewallPolicy
Current limit on quota metric compute.googleapis.com/rule_attributes_per_hierarchical_firewall_policy. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/rule_attributes_per_hierarchical_firewall_policy/usage GA(project)
Hierarchical firewall policy rule attributes (atoms) per firewall policy. quota usage
GAUGEINT641
compute.googleapis.com/FirewallPolicy
Current usage on quota metric compute.googleapis.com/rule_attributes_per_hierarchical_firewall_policy. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/rule_attributes_per_regional_network_firewall_policy/exceeded GA(project)
Rule attributes per regional network firewall policy quota exceeded error
DELTAINT641
compute.googleapis.com/FirewallPolicy
Number of attempts to exceed the limit on quota metric compute.googleapis.com/rule_attributes_per_regional_network_firewall_policy. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/rule_attributes_per_regional_network_firewall_policy/limit GA(project)
Rule attributes per regional network firewall policy quota limit
GAUGEINT641
compute.googleapis.com/FirewallPolicy
Current limit on quota metric compute.googleapis.com/rule_attributes_per_regional_network_firewall_policy. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/rule_attributes_per_regional_network_firewall_policy/usage GA(project)
Rule attributes per regional network firewall policy quota usage
GAUGEINT641
compute.googleapis.com/FirewallPolicy
Current usage on quota metric compute.googleapis.com/rule_attributes_per_regional_network_firewall_policy. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/static_routes_per_peering_group/limit GA(project)
Custom static routes per peering group quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/static_routes_per_peering_group. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/static_routes_per_peering_group/usage GA(project)
Custom static routes per peering group quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/static_routes_per_peering_group. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/static_routes_per_vpc_network/exceeded GA(project)
Custom static routes per VPC Network quota exceeded error
DELTAINT641
compute.googleapis.com/VpcNetwork
Number of attempts to exceed the limit on quota metric compute.googleapis.com/static_routes_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/static_routes_per_vpc_network/limit GA(project)
Custom static routes per VPC Network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/static_routes_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/static_routes_per_vpc_network/usage GA(project)
Custom static routes per VPC Network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/static_routes_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/subnet_ranges_per_peering_group/limit GA(project)
Subnet ranges Per peering group quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/subnet_ranges_per_peering_group. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/subnet_ranges_per_peering_group/usage GA(project)
Subnet ranges Per peering group quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/subnet_ranges_per_peering_group. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/subnet_ranges_per_vpc_network/exceeded GA(project)
Subnetwork ranges per VPC Network quota exceeded error
DELTAINT641
compute.googleapis.com/VpcNetwork
Number of attempts to exceed the limit on quota metric compute.googleapis.com/subnet_ranges_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/subnet_ranges_per_vpc_network/limit GA(project)
Subnetwork ranges per VPC Network quota limit
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current limit on quota metric compute.googleapis.com/subnet_ranges_per_vpc_network. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/subnet_ranges_per_vpc_network/usage GA(project)
Subnetwork ranges per VPC Network quota usage
GAUGEINT641
compute.googleapis.com/VpcNetwork
Current usage on quota metric compute.googleapis.com/subnet_ranges_per_vpc_network. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/tpus_per_tpu_family/exceeded ALPHA(project)
TPU count per TPU family. quota exceeded error
DELTAINT641
compute.googleapis.com/Location
Number of attempts to exceed the limit on quota metric compute.googleapis.com/tpus_per_tpu_family. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
tpu_family: TPU family custom dimension.
quota/tpus_per_tpu_family/limit ALPHA(project)
TPU count per TPU family. quota limit
GAUGEINT641
compute.googleapis.com/Location
Current limit on quota metric compute.googleapis.com/tpus_per_tpu_family. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
tpu_family: TPU family custom dimension.
quota/tpus_per_tpu_family/usage ALPHA(project)
TPU count per TPU family. quota usage
GAUGEINT641
compute.googleapis.com/Location
Current usage on quota metric compute.googleapis.com/tpus_per_tpu_family. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
tpu_family: TPU family custom dimension.
regional_concurrent_operations ALPHA(project)
Concurrent regional operations per project
DELTAINT641
compute.googleapis.com/OperationType
Concurrent quota for regional operations.
reservation/reserved GA(project)
Reserved
GAUGEINT641
compute.googleapis.com/Reservation
The number of resources reserved by this reservation. Sampled every 300 seconds. After sampling, data is not visible for up to 300 seconds.
reserved_resource_type: Represents type of resource reserved. One of [instance].
reservation/used GA(project)
Used
GAUGEINT641
compute.googleapis.com/Reservation
The number of resources used by this reservation. Sampled every 300 seconds. After sampling, data is not visible for up to 300 seconds.
reserved_resource_type: Represents type of resource reserved. One of [instance].
storage_pool/capacity_overprovisioning BETA(project)
Capacity Overprovisioning
GAUGEDOUBLE%
compute.googleapis.com/StoragePool
Ratio of total provisioned capacity of disks in the storage pool to storage pool provisioned capacity, in percentage. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/capacity_utilization BETA(project)
Capacity Utilization
GAUGEDOUBLE%
compute.googleapis.com/StoragePool
Ratio of total used capacities of disks in the storage pool to storage pool provisioned capacity, in percentage. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/disks BETA(project)
Disks
GAUGEINT641
compute.googleapis.com/StoragePool
Count of disks that are in the storage pool. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/iops_overprovisioning BETA(project)
IOPS Overprovisioning
GAUGEDOUBLE%
compute.googleapis.com/StoragePool
Ratio of total provisioned IOPS of disks in the storage pool to storage pool provisioned IOPS, in percentage. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/iops_utilization BETA(project)
IOPS Utilization
GAUGEDOUBLE%
compute.googleapis.com/StoragePool
Ratio of total used IOPS of disks in the storage pool to storage pool provisioned IOPS, in percentage. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/provisioned_capacity BETA(project)
Provisioned Capacity
GAUGEDOUBLETiBy
compute.googleapis.com/StoragePool
Provisioned capacity of the storage pool. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/provisioned_iops BETA(project)
Provisioned IOPS
GAUGEINT641
compute.googleapis.com/StoragePool
Provisioned IOPS of the storage pool. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/provisioned_throughput BETA(project)
Provisioned Throughput
GAUGEINT64MiBy/s
compute.googleapis.com/StoragePool
Provisioned throughput of the storage pool. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/throughput_overprovisioning BETA(project)
Throughput Overprovisioning
GAUGEDOUBLE%
compute.googleapis.com/StoragePool
Ratio of total provisioned throughput of disks in the storage pool to storage pool provisioned throughput, in percentage. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/throughput_utilization BETA(project)
Throughput Utilization
GAUGEDOUBLE%
compute.googleapis.com/StoragePool
Ratio of total used throughput of disks in the storage pool to storage pool provisioned throughput, in percentage. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/total_disk_provisioned_capacity BETA(project)
Total Disk Provisioned Capacity
GAUGEDOUBLETiBy
compute.googleapis.com/StoragePool
Sum of provisioned capacity of the disks that are in the storage pool. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/total_disk_provisioned_iops BETA(project)
Total Disk Provisioned IOPS
GAUGEINT641
compute.googleapis.com/StoragePool
Sum of provisioned IOPS of the disks that are in the storage pool. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/total_disk_provisioned_throughput BETA(project)
Total Disk Provisioned Throughput
GAUGEINT64MiBy/s
compute.googleapis.com/StoragePool
Sum of provisioned throughput of the disks that are in the storage pool. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/used_capacity BETA(project)
Used Capacity
GAUGEDOUBLETiBy
compute.googleapis.com/StoragePool
Sum of used capacity of the disks that are in the storage pool. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/used_iops BETA(project)
Used IOPS
GAUGEINT641
compute.googleapis.com/StoragePool
Sum of used IOPS of the disks that are in the storage pool. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
storage_pool/used_throughput BETA(project)
Used Throughput
GAUGEINT64MiBy/s
compute.googleapis.com/StoragePool
Sum of used throughput of the disks that are in the storage pool. Sampled every 1800 seconds. After sampling, data is not visible for up to 90 seconds.
workload/performance BETA(project)
Performance
GAUGEDOUBLE%
compute.googleapis.com/Workload
This is a writable metric that allows users to report the performance of their workload. Values reported to this metric is visible to Google Cloud team. Providing this value helps Google Cloud team understanding user workload react to different changes to the Google Cloud infrastructure. The performance value is a numeric value that is up to the user to define its range. Typically it is a ratio of the expected performance of the workload.
workload_process/heartbeat BETA(project)
Heartbeat
GAUGEBOOL
compute.googleapis.com/WorkloadProcess
This is the heartbeat of a process that is part of a workload. A non zero value indicates the workload is alive.
instance_id: The VM ID of the instance running the workload process.
gpu_index: If the process is going to be utilizing a single GPU in the VM, this should be the ID of the GPU on the VM. Typically, this is the process local rank.

connectors

Metrics from Integration Connectors. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with connectors.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
connection/connection_status BETA(project)
Connection Status
GAUGEBOOL
connectors.googleapis.com/Connection
The current status of connection.
status: Connection status.
connection/latencies BETA(project)
Connection request latencies
DELTADISTRIBUTIONs
connectors.googleapis.com/Connection
The latency of handled requests. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
code: Response code.
service: Connector service.
method: Connector method.
connection/nodes BETA(project)
Connection node count
GAUGEINT641
connectors.googleapis.com/Connection
The number of connection nodes available for a connection. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
provider: The provider of the corresponding connector (GCP, SAP, etc.).
connection/request_count BETA(project)
Connection request count
DELTAINT641
connectors.googleapis.com/Connection
The number of requests received by the connection. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
service: Connector service.
method: Connector method.
connection/request_sizes BETA(project)
Connection request sizes
DELTADISTRIBUTIONBy
connectors.googleapis.com/Connection
The size of the request body and headers. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
service: Connector service.
method: Connector method.
provider: The provider of the corresponding connector (GCP, SAP, etc.).
connection/response_count BETA(project)
Connection response count
DELTAINT641
connectors.googleapis.com/Connection
The number of requests fully responded and handled by the connection. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
code: Response code.
service: Connector service.
method: Connector method.
connector_fault: Indicates whether the connector service caused a fault.
connection/response_sizes BETA(project)
Connection response sizes
DELTADISTRIBUTIONBy
connectors.googleapis.com/Connection
The size of the response body and headers. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
code: Response code.
service: Connector service.
method: Connector method.
connector_fault: Indicates whether the connector service caused a fault.
provider: The provider of the corresponding connector (GCP, SAP, etc.).
connection/state BETA(project)
Connection state
GAUGEINT641
connectors.googleapis.com/Connection
Metadata metric tracking labels. This can be joined with other metrics to use provider,connector or connector_version labels. The value represents the number of running nodes for the connection. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
provider: The provider of the corresponding connector (GCP, SAP, etc.).
connector: The name of the corresponding connector (pub/sub, etc.).
connector_version: The version of the corresponding connector.

contactcenterinsights

Metrics from Contact Center AI Insights. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with contactcenterinsights.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
analysis_count BETA(project)
Analysis count
DELTAINT641
contactcenterinsights.googleapis.com/Environment
Count of analyses performed.
response_code: (INT64) HTTP status code of the response.
conversation_count BETA(project)
New Conversations
DELTAINT641
contactcenterinsights.googleapis.com/Environment
Count of new conversations.
medium: Medium over which the conversation occurred.
highlighted_conversation_count BETA(project)
Highlighted Conversations
DELTAINT641
contactcenterinsights.googleapis.com/Environment
Count of Conversations with different highlights.
highlight_type: Type of the highlight used for annotation.
highlight_name: Display name of the highlight used for annotation.
highlight_id: Unique id of the highlight used for annotation.
runtime_integration_notification_count BETA(project)
Notifications from Dialogflow Runtime Integration
DELTAINT641
contactcenterinsights.googleapis.com/Environment
Count of notifications from Dialogflow Runtime Integration.
response_code: (INT64) HTTP status code of the response.
topic_classification_count BETA(project)
Topic Classifications
DELTAINT641
contactcenterinsights.googleapis.com/Environment
Count of topic classifications in conversations.
issue_model_name: Resource name of the issue model used to classify the topic.
issue_name: The issue resource name of classified topic. Empty if not successfully classified.
issue_display_name: The display name of classified topic. Empty if not successfully classified.
is_classified: (BOOL) Whether the conversation is classified with a topic.

container

Metrics from Google Kubernetes Engine. For newer Kubernetes metrics, see the kubernetes.io metrics. Launch stages of these metrics: ALPHA

The "metric type" strings in this table must be prefixed with container.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
container/accelerator/duty_cycle DEPRECATED(project)
Accelerator duty cycle
GAUGEINT641
gke_container
Percent of time over the past sample period (10s)during which the accelerator was actively processing. Sampled every 60 seconds.
make: Make of the accelerator (e.g. nvidia)
accelerator_id: ID of the accelerator.
model: Model of the accelerator (e.g. 'Tesla P100')
container/accelerator/memory_total DEPRECATED(project)
Accelerator memory total
GAUGEINT64By
gke_container
Total accelerator memory in bytes. Sampled every 60 seconds.
make: Make of the accelerator (e.g. nvidia)
accelerator_id: ID of the accelerator.
model: Model of the accelerator (e.g. 'Tesla P100')
container/accelerator/memory_used DEPRECATED(project)
Accelerator memory used
GAUGEINT64By
gke_container
Total accelerator memory allocated in bytes. Sampled every 60 seconds.
make: Make of the accelerator (e.g. nvidia)
accelerator_id: ID of the accelerator.
model: Model of the accelerator (e.g. 'Tesla P100')
container/accelerator/request DEPRECATED(project)
Request accelerators
GAUGEINT64{devices}
gke_container
Number of accelerator devices requested by the container. Sampled every 60 seconds.
resource_name: Name of the requested accelerator resource.
container/cpu/reserved_cores DEPRECATED(project)
Reserved cores
GAUGEDOUBLE1
gke_container
Number of cores of CPU reserved for the container. If no core limit is set, this will be zero. Sampled every 60 seconds.
container/cpu/usage_time DEPRECATED(project)
CPU usage
CUMULATIVEDOUBLEs{CPU}
gke_container
Cumulative CPU usage on all cores in seconds. This number divided by the elapsed time represents usage as a number of cores, regardless of any core limit that might be set. Sampled every 60 seconds.
container/cpu/utilization DEPRECATED(project)
CPU utilization
GAUGEDOUBLE10^2.%
gke_container
The percentage of the allocated CPU that is currently in use on the container. Values are typically numbers between 0.0 and 1.0 (but might exceed 1.0), charts display the values as a percentage between 0% and 100% (or more). If no core limit is set, then this metric is not set. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
container/disk/bytes_total DEPRECATED(project)
Disk capacity
GAUGEINT64By
gke_container
Total number of bytes of capacity on the disk identified by label ‘device_name’. Sampled every 60 seconds.
device_name: The device name for the disk (e.g. `/dev/sda1`).
container/disk/bytes_used DEPRECATED(project)
Disk usage
GAUGEINT64By
gke_container
Total number of bytes used on the disk identified by label ‘device_name’. Sampled every 60 seconds.
device_name: The device name for the disk (e.g. `/dev/sda1`).
container/disk/inodes_free DEPRECATED(project)
Inode free
GAUGEINT641
gke_container
Free number of inodes on the disk identified by label 'device_name'. This metric is only for the `machine` container. Sampled every 60 seconds.
device_name: The device name for the disk (e.g. `/dev/sda1`).
container/disk/inodes_total DEPRECATED(project)
Inode capacity
GAUGEINT641
gke_container
Total number of inodes on the disk identified by label 'device_name'. This metric is only for the `machine` container. Sampled every 60 seconds.
device_name: The device name for the disk (e.g. `/dev/sda1`).
container/memory/bytes_total DEPRECATED(project)
Memory limit
GAUGEINT64By
gke_container
Memory limit of the container in bytes. Sampled every 60 seconds.
container/memory/bytes_used DEPRECATED(project)
Memory usage
GAUGEINT64By
gke_container
Memory usage in bytes, broken down by type: evictable and non-evictable. Sampled every 60 seconds.
memory_type: Either `evictable` or `non-evictable`. Evictable memory is memory that can be easily reclaimed by the kernel, while non-evictable memory cannot.
container/memory/page_fault_count DEPRECATED(project)
Page faults
DELTAINT641
gke_container
Number of page faults, broken down by type: major and minor. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
fault_type: Fault type - either 'major' or 'minor', with the former indicating that the page had to be loaded from disk.
container/pid_limit DEPRECATED(project)
PID capacity
GAUGEINT641
gke_container
The max PID of OS on the node. This metric is only for the `machine` container. Sampled every 60 seconds.
container/pid_used DEPRECATED(project)
PID usage
GAUGEINT641
gke_container
The number of running process in the OS on the node. This metric is only for the `machine` container. Sampled every 60 seconds.
container/uptime DEPRECATED(project)
Uptime
CUMULATIVEDOUBLEs
gke_container
Number of seconds since the container started. Sampled every 60 seconds.
quota/quota/containers_per_cluster_autopilot/exceeded ALPHA(project)
Number of containers in GKE Autopilot cluster. quota exceeded error
DELTAINT641
container.googleapis.com/Cluster
Number of attempts to exceed the limit on quota metric container.googleapis.com/quota/containers_per_cluster_autopilot. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/containers_per_cluster_autopilot/limit ALPHA(project)
Number of containers in GKE Autopilot cluster. quota limit
GAUGEINT641
container.googleapis.com/Cluster
Current limit on quota metric container.googleapis.com/quota/containers_per_cluster_autopilot. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/containers_per_cluster_autopilot/usage ALPHA(project)
Number of containers in GKE Autopilot cluster. quota usage
GAUGEINT641
container.googleapis.com/Cluster
Current usage on quota metric container.googleapis.com/quota/containers_per_cluster_autopilot. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/containers_per_cluster_standard/exceeded ALPHA(project)
Number of containers in GKE Standard cluster. quota exceeded error
DELTAINT641
container.googleapis.com/Cluster
Number of attempts to exceed the limit on quota metric container.googleapis.com/quota/containers_per_cluster_standard. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/containers_per_cluster_standard/limit ALPHA(project)
Number of containers in GKE Standard cluster. quota limit
GAUGEINT641
container.googleapis.com/Cluster
Current limit on quota metric container.googleapis.com/quota/containers_per_cluster_standard. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/containers_per_cluster_standard/usage ALPHA(project)
Number of containers in GKE Standard cluster. quota usage
GAUGEINT641
container.googleapis.com/Cluster
Current usage on quota metric container.googleapis.com/quota/containers_per_cluster_standard. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/etcd_database_size_bytes/exceeded ALPHA(project)
Etcd database size. quota exceeded error
DELTAINT641
container.googleapis.com/Cluster
Number of attempts to exceed the limit on quota metric container.googleapis.com/quota/etcd_database_size_bytes. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/etcd_database_size_bytes/limit ALPHA(project)
Etcd database size. quota limit
GAUGEINT64By
container.googleapis.com/Cluster
Current limit on quota metric container.googleapis.com/quota/etcd_database_size_bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/etcd_database_size_bytes/usage ALPHA(project)
Etcd database size. quota usage
GAUGEINT64By
container.googleapis.com/Cluster
Current usage on quota metric container.googleapis.com/quota/etcd_database_size_bytes. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/nodes_per_cluster/exceeded ALPHA(project)
Number of nodes in GKE cluster. quota exceeded error
DELTAINT641
container.googleapis.com/Cluster
Number of attempts to exceed the limit on quota metric container.googleapis.com/quota/nodes_per_cluster. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/nodes_per_cluster/limit ALPHA(project)
Number of nodes in GKE cluster. quota limit
GAUGEINT641
container.googleapis.com/Cluster
Current limit on quota metric container.googleapis.com/quota/nodes_per_cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/nodes_per_cluster/usage ALPHA(project)
Number of nodes in GKE cluster. quota usage
GAUGEINT641
container.googleapis.com/Cluster
Current usage on quota metric container.googleapis.com/quota/nodes_per_cluster. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/pods_per_cluster_autopilot/exceeded ALPHA(project)
Number of pods in GKE Autopilot cluster. quota exceeded error
DELTAINT641
container.googleapis.com/Cluster
Number of attempts to exceed the limit on quota metric container.googleapis.com/quota/pods_per_cluster_autopilot. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/pods_per_cluster_autopilot/limit ALPHA(project)
Number of pods in GKE Autopilot cluster. quota limit
GAUGEINT641
container.googleapis.com/Cluster
Current limit on quota metric container.googleapis.com/quota/pods_per_cluster_autopilot. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/pods_per_cluster_autopilot/usage ALPHA(project)
Number of pods in GKE Autopilot cluster. quota usage
GAUGEINT641
container.googleapis.com/Cluster
Current usage on quota metric container.googleapis.com/quota/pods_per_cluster_autopilot. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/pods_per_cluster_standard/exceeded ALPHA(project)
Number of pods in GKE Standard cluster. quota exceeded error
DELTAINT641
container.googleapis.com/Cluster
Number of attempts to exceed the limit on quota metric container.googleapis.com/quota/pods_per_cluster_standard. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/pods_per_cluster_standard/limit ALPHA(project)
Number of pods in GKE Standard cluster. quota limit
GAUGEINT641
container.googleapis.com/Cluster
Current limit on quota metric container.googleapis.com/quota/pods_per_cluster_standard. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/quota/pods_per_cluster_standard/usage ALPHA(project)
Number of pods in GKE Standard cluster. quota usage
GAUGEINT641
container.googleapis.com/Cluster
Current usage on quota metric container.googleapis.com/quota/pods_per_cluster_standard. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.

dataflow

Metrics from Dataflow. For more information about Dataflow monitoring, see Monitoring Dataflow pipelines and Dataflow monitoring interface. Launch stages of these metrics: ALPHA BETA GA

The "metric type" strings in this table must be prefixed with dataflow.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
job/active_worker_instances BETA(project)
Active Worker Instances
GAUGEINT641
dataflow_job
The active number of worker instances.
job_id: The job id of the associated dataflow job.
job/aggregated_worker_utilization BETA(project)
Aggregated Worker Utilization
GAUGEDOUBLE%
dataflow_job
Aggregated worker utilization (e.g. worker CPU utilization) across the worker pool.
job_id: The job id of the associated dataflow job.
job/backlog_bytes GA(project)
Per-stage backlog in bytes
GAUGEINT64By
dataflow_job
Amount of known, unprocessed input for a stage, in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
stage: The stage of the pipeline.
job/backlog_elements GA(project)
Per-stage backlog in elements
GAUGEINT641
dataflow_job
Amount of known, unprocessed input for a stage, in elements. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
stage: The stage of the pipeline.
job/bigquery/write_count BETA(project)
BigQueryIO.Write Requests
DELTAINT641
dataflow_job
BigQuery write requests from BigQueryIO.Write in Dataflow jobs. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
status: The canonical response code. See: https://cloud.google.com/apis/design/errors#handling_errors.
job_id: The job id of the associated Dataflow job.
ptransform: The pipeline PTransform making the requests.
bigquery_project_id: The project of the associated BigQuery table, view or query.
bigquery_dataset_id: The BigQuery dataset of the associated BigQuery table or view.
bigquery_table_or_view_id: The BigQuery table or view id.
job/billable_shuffle_data_processed GA(project)
Billable shuffle data processed
GAUGEINT64By
dataflow_job
The billable bytes of shuffle data processed by this Dataflow job. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
job/bundle_user_processing_latencies GA(project)
Bundle user processing latencies
GAUGEDISTRIBUTIONms
dataflow_job
Bundle user processing latencies from a particular stage. Available for jobs running on Streaming Engine. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
stage: The stage of the pipeline.
job/current_num_vcpus GA(project)
Current number of vCPUs in use
GAUGEINT641
dataflow_job
The number of vCPUs currently being used by this Dataflow job. This is the current number of workers times the number of vCPUs per worker. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
job/current_shuffle_slots GA(project)
Current shuffle slots in use
GAUGEINT641
dataflow_job
The current shuffle slots used by this Dataflow job. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
job/data_watermark_age GA(project)
Data watermark lag
GAUGEINT64s
dataflow_job
The age (time since event timestamp) up to which all data has been processed by the pipeline. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
job/disk_space_capacity GA(project)
Disk Space Capacity
GAUGEINT64By
dataflow_job
The amount of persistent disk currently being allocated to all workers associated with this Dataflow job. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
storage_type: The type of persistent disk: one of [HDD, SSD].
job/dofn_latency_average GA(project)
Average message processing time per DoFn.
GAUGEDOUBLEms
dataflow_job
The average processing time for a single message in a given DoFn (over the past 3 min window). Note that this includes time spent in GetData calls. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
do_fn: The user defined DoFn name.
job/dofn_latency_max GA(project)
Maximum message processing time per DoFn.
GAUGEINT64ms
dataflow_job
The maximum processing time for a single message in a given DoFn (over the past 3 min window). Note that this includes time spent in GetData calls. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
do_fn: The user defined DoFn name.
job/dofn_latency_min GA(project)
Minimum message processing time per DoFn.
GAUGEINT64ms
dataflow_job
The minimum processing time for a single message in a given DoFn (over the past 3 min window). Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
do_fn: The user defined DoFn name.
job/dofn_latency_num_messages GA(project)
Number of messages processed per DoFn.
GAUGEINT641
dataflow_job
The number of messages processed by a given DoFn (over the past 3 min window). Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
do_fn: The user defined DoFn name.
job/dofn_latency_total GA(project)
Total message processing time per DoFn.
GAUGEINT64ms
dataflow_job
The total processing time for all messages in a given DoFn (over the past 3 min window). Note that this includes time spent in GetData calls. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
do_fn: The user defined DoFn name.
job/duplicates_filtered_out_count GA(project)
Duplicate message count per stage
DELTAINT641
dataflow_job
The number of messages being processed by a particular stage that have been filtered out as duplicates. Available for jobs running on Streaming Engine. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
stage: The stage of the pipeline.
job/elapsed_time GA(project)
Elapsed time
GAUGEINT64s
dataflow_job
Duration that the current run of this pipeline has been in the Running state so far, in seconds. When a run completes, this stays at the duration of that run until the next run starts. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
job/element_count GA(project)
Element count
GAUGEINT641
dataflow_job
Number of elements added to the pcollection so far. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
pcollection: The pipeline pcollection reporting this element count. PCollections are usually named by appending .out to the producing transform name.
job/elements_produced_count ALPHA(project)
Elements Produced
DELTAINT641
dataflow_job
The number of elements produced by each PTransform. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
pcollection: The pipeline PCollection to which the elements were produced.
ptransform: The pipeline PTransform producing the elements.
job/estimated_backlog_processing_time BETA(project)
Estimated time to process current backlog per stage
GAUGEINT64s
dataflow_job
Estimated time (in seconds) to consume current backlog if no new data comes in and throughput stays the same. Only available for Streaming Engine jobs.
job_id: The ID of the current run of this pipeline.
stage: The stage of the pipeline.
job/estimated_byte_count GA(project)
Estimated byte count
GAUGEINT64By
dataflow_job
An estimated number of bytes added to the pcollection so far. Dataflow calculates the average encoded size of elements in a pcollection and mutiplies it by the number of elements. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
pcollection: The pipeline pcollection reporting this estimated byte count. PCollections are usually named by appending .out to the producing transform name.
job/estimated_bytes_active GA(project)
Active Size
GAUGEINT64By
dataflow_job
Estimated number of bytes active in this stage of the job.
job_id: The ID of the current run of this pipeline.
stage: The stage of the pipeline.
job/estimated_bytes_consumed_count GA(project)
Throughput
DELTAINT64By
dataflow_job
Estimated number of bytes consumed by the stage of this job.
job_id: The ID of the current run of this pipeline.
stage: The stage of the pipeline.
job/estimated_bytes_produced_count GA(project)
Estimated Bytes Produced
DELTAINT641
dataflow_job
The estimated total byte size of elements produced by each PTransform. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
pcollection: The pipeline PCollection to which the elements were produced.
ptransform: The pipeline PTransform producing the elements.
job/estimated_timer_backlog_processing_time BETA(project)
Estimated time (in seconds) for timers to complete.
GAUGEINT64s
dataflow_job
Estimated time (in seconds) for timers to complete. Only available for Streaming Engine jobs.
job_id: The ID of the current run of this pipeline.
stage: The stage of the pipeline.
job/gpu_memory_utilization BETA(project)
GPU memory utilization
GAUGEINT64%
dataflow_job
Percent of time over the past sample period during which global (device) memory was being read or written.
job_id: The ID of the current run of this pipeline.
job/gpu_utilization BETA(project)
GPU utilization
GAUGEINT64%
dataflow_job
Percent of time over the past sample period during which one or more kernels was executing on the GPU.
job_id: The ID of the current run of this pipeline.
job/horizontal_worker_scaling BETA(project)
Horizontal Worker Scaling
GAUGEBOOL
dataflow_job
A boolean value that indicates what kind of horizontal scaling direction which the autoscaler recommended and rationale behind it. A true metric output means a scaling decision is made and a false metric output means the corresponding scaling is not taking effect.
job_id: The job id of the associated dataflow job.
rationale: Horizontal worker scaling rationale: one of [Waiting for the signals to stabilize, Hit non-resource related limit, Low backlog and high worker utilization, High worker utilization, Low worker utilization, High backlog]
direction: Horizontal worker scaling direction: one of [Upscale number of workers, Downscale number of workers, No change in scaling and signals are not stable, No change in scaling and signals are stable]
job/is_failed GA(project)
Failed
GAUGEINT641
dataflow_job
A value of 1 indicates that the job has failed. This metric isn't recorded for jobs that fail before launch. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job/max_worker_instances_limit GA(project)
Autoscaling worker instances ceiling
GAUGEINT641
dataflow_job
The maximum number of workers autoscaling is allowed to request.
job_id: The job id of the associated dataflow job.
job/memory_capacity GA(project)
Memory Capacity
GAUGEINT64By
dataflow_job
The amount of memory currently being allocated to all workers associated with this Dataflow job. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
job/min_worker_instances_limit GA(project)
Autoscaling worker instances flooring
GAUGEINT641
dataflow_job
The minimum number of workers autoscaling is allowed to request.
job_id: The job id of the associated dataflow job.
job/oldest_active_message_age GA(project)
Oldest active message processing time per DoFn.
GAUGEINT64ms
dataflow_job
How long the oldest active message in a DoFn has been processing for. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
do_fn: The user defined DoFn name.
job/per_stage_data_watermark_age GA(project)
Per-stage data watermark lag
GAUGEINT64s
dataflow_job
The age (time since event timestamp) up to which all data has been processed by this stage of the pipeline. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
stage: The stage of the pipeline.
job/per_stage_system_lag GA(project)
Per-stage system lag
GAUGEINT64s
dataflow_job
The current maximum duration that an item of data has been processing or awaiting processing in seconds, per pipeline stage. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
stage: The stage of the pipeline.
job/processing_parallelism_keys GA(project)
The approximate number of parallel processing keys
GAUGEINT641
dataflow_job
Approximate number of keys in use for data processing for each stage. Processing for any given key is serialized, so the total number of keys for a stage represents the maximum available parallelism at that stage. Available for jobs running on Streaming Engine. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
stage: The stage of the pipeline.
job/pubsub/late_messages_count GA(project)
Pub/Sub Late Messages Count
DELTAINT641
dataflow_job
The number of messages from Pub/Sub with timestamp older than the estimated watermark. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated dataflow job.
stage: The computation stage consuming from Pub/Sub.
subscription_project_id: The project of the associated Pub/Sub subscription.
subscription_id: The id of the associated Pub/Sub subscription.
topic_project_id: The project of the associated Pub/Sub topic.
topic_id: The id of the associated Pub/Sub topic.
job/pubsub/published_messages_count GA(project)
Pub/Sub Published Messages Count
DELTAINT641
dataflow_job
The number of Pub/Sub messages published broken down by topic and status. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated dataflow job.
stage: The computation stage consuming from Pub/Sub.
topic_project_id: The project of the associated Pub/Sub topic.
topic_id: The id of the associated Pub/Sub topic.
status: Status code string that indicates the result of the message, one of [OK, DROPPED].
job/pubsub/pulled_message_ages GA(project)
Pub/Sub Pulled Message Ages
GAUGEDISTRIBUTIONms
dataflow_job
The distribution of pulled but unacked Pub/Sub message ages. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated dataflow job.
stage: The computation stage consuming from pubsub.
subscription_project_id: The project of the associated Pub/Sub subscription.
subscription_id: The id of the associated Pub/Sub subscription.
topic_project_id: The project of the associated Pub/Sub topic.
topic_id: The id of the associated Pub/Sub topic.
job/pubsub/read_count GA(project)
PubsubIO.Read requests from Dataflow jobs
DELTAINT641
dataflow_job
Pub/Sub Pull Requests. For Streaming Engine, this metric is deprecated. See the "Using the Dataflow monitoring interface" page for upcoming changes. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
status: The canonical response code. See: https://cloud.google.com/apis/design/errors#handling_errors.
job_id: The job id of the associated Dataflow job.
ptransform: The pipeline PTransform making the requests.
subscription_project_id: The project of the associated Pub/Sub subscription.
subscription_id: The id of the associated Pub/Sub subscription.
topic_project_id: The project of the associated Pub/Sub topic.
topic_id: The id of the associated Pub/Sub topic.
job/pubsub/read_latencies BETA(project)
Pub/Sub Pull Request Latencies
DELTADISTRIBUTIONms
dataflow_job
Pub/Sub Pull request latencies from PubsubIO.Read in Dataflow jobs. For Streaming Engine, this metric is deprecated. See the "Using the Dataflow monitoring interface" page for upcoming changes. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
ptransform: The pipeline PTransform making the requests.
subscription_project_id: The project of the associated Pub/Sub subscription.
subscription_id: The id of the associated Pub/Sub subscription.
topic_project_id: The project of the associated Pub/Sub topic.
topic_id: The id of the associated Pub/Sub topic.
job/pubsub/streaming_pull_connection_status GA(project)
Percentage of active/terminated Streaming Pull connections
GAUGEDOUBLE%
dataflow_job
Percentage of all Streaming Pull connections that are either active (OK status) or terminated because of an error (non-OK status). When a connection is terminated, Dataflow will wait some time before attempting to re-connect. For Streaming Engine only. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
status: The canonical response code for the error. See: https://cloud.google.com/apis/design/errors#handling_errors.
job_id: The job id of the associated dataflow job.
ptransform: The pipeline PTransform making the requests.
subscription_project_id: The project of the associated Pub/Sub subscription.
subscription_id: The id of the associated Pub/Sub subscription.
topic_project_id: The project of the associated Pub/Sub topic.
topic_id: The id of the associated Pub/Sub topic.
job/pubsub/write_count GA(project)
Pub/Sub Publish Requests
DELTAINT641
dataflow_job
Pub/Sub Publish requests from PubsubIO.Write in Dataflow jobs. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
status: The canonical response code. See: https://cloud.google.com/apis/design/errors#handling_errors.
job_id: The job id of the associated Dataflow job.
ptransform: The pipeline PTransform making the requests.
topic_project_id: The project of the associated Pub/Sub topic.
topic_id: The id of the associated Pub/Sub topic.
job/pubsub/write_latencies GA(project)
Pub/Sub Publish Request Latencies
DELTADISTRIBUTIONms
dataflow_job
Pub/Sub Publish request latencies from PubsubIO.Write in Dataflow jobs. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
ptransform: The pipeline PTransform making the requests.
topic_project_id: The project of the associated Pub/Sub topic.
topic_id: The id of the associated Pub/Sub topic.
job/status GA(project)
Status
GAUGESTRING
dataflow_job
Current state of this pipeline (e.g.: RUNNING, DONE, CANCELLED, FAILED, ...). Not reported while the pipeline is not running. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The ID of the current run of this pipeline.
job/streaming_engine/key_processing_availability GA(project)
Current processing key-range availability
GAUGEDOUBLE10^2.%
dataflow_job
Percentage of streaming processing keys that are assigned to workers and available to perform work. Work for unavailable keys will be deferred until keys are available.
job_id: The job id of the associated Dataflow job.
stage: The stage of the pipeline.
job/streaming_engine/persistent_state/read_bytes_count GA(project)
Storage bytes read
DELTAINT641
dataflow_job
Storage bytes read by a particular stage. Available for jobs running on Streaming Engine. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
stage: The stage of the pipeline.
job/streaming_engine/persistent_state/stored_bytes GA(project)
Current persistence state usage
GAUGEINT64By
dataflow_job
Current bytes stored in persistent state for the job.
job_id: The job id of the associated Dataflow job.
job/streaming_engine/persistent_state/write_bytes_count GA(project)
Storage bytes written
DELTAINT641
dataflow_job
Storage bytes written by a particular stage. Available for jobs running on Streaming Engine. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
stage: The stage of the pipeline.
job/streaming_engine/persistent_state/write_latencies GA(project)
Storage write latencies
DELTADISTRIBUTIONms
dataflow_job
Storage write latencies from a particular stage. Available for jobs running on Streaming Engine. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
stage: The stage of the pipeline.
job/streaming_engine/stage_end_to_end_latencies GA(project)
Per stage end to end latencies.
GAUGEDISTRIBUTIONms
dataflow_job
Distribution of time spent by streaming engine in each stage of the pipeline. This time includes shuffling messages, queueing them for processing, processing, queueing for persistent state write, and the write itself. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job, for example, 2023-01-01-_01_02_03-45678987654.
stage: The stage of the pipeline, for example, F0.
job/system_lag GA(project)
System lag
GAUGEINT64s
dataflow_job
The current maximum duration that an item of data has been processing or awaiting processing, in seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
job/target_worker_instances GA(project)
Target Worker Instances
GAUGEINT641
dataflow_job
The desired number of worker instances.
job_id: The job id of the associated dataflow job.
job/thread_time BETA(project)
Thread Time
DELTAINT64ms
dataflow_job
Estimated time in milliseconds spent running in the function of the ptransform totaled across threads on all workers of the job. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
ptransform: The pipeline PTransform running the function.
function: The function name, one of [start_bundle, process_element, process_timers, split_source, finish_bundle].
job/timers_pending_count GA(project)
Timers pending count per stage
DELTAINT641
dataflow_job
The number of timers pending in a particular stage. Available for jobs running on Streaming Engine. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
stage: The stage of the pipeline.
job/timers_processed_count GA(project)
Timers processed count per stage
DELTAINT641
dataflow_job
The number of timers completed by a particular stage. Available for jobs running on Streaming Engine. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
job_id: The job id of the associated Dataflow job.
stage: The stage of the pipeline.
job/total_dcu_usage GA(project)
Total DCU usage
CUMULATIVEDOUBLE{dcu}
dataflow_job
The total amount of DCUs (Data Compute Unit) used by the Dataflow job since it was launched.
job_id: The job id of the associated Dataflow job, for example, 2023-04-05_19_41_09-14297402485873831817.
job/total_memory_usage_time GA(project)
Total memory usage time
GAUGEINT64GBy.s
dataflow_job
The total GB seconds of memory allocated to this Dataflow job. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
job/total_pd_usage_time GA(project)
Total PD usage time
GAUGEINT64GBy.s
dataflow_job
The total GB seconds for all persistent disk used by all workers associated with this Dataflow job. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
storage_type: The type of persistent disk: HDD, SSD.
job/total_secu_usage BETA(project)
Total SECU usage
GAUGEDOUBLE{secu}
dataflow_job
The total amount of SECUs (Streaming Engine Compute Unit) used by the Dataflow job since it was launched. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The job id of the associated Dataflow job, for example, 2023-04-05_19_41_09-14297402485873831817.
job/total_shuffle_data_processed GA(project)
Total shuffle data processed
GAUGEINT64By
dataflow_job
The total bytes of shuffle data processed by this Dataflow job. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
job/total_streaming_data_processed GA(project)
Total streaming data processed
GAUGEINT64By
dataflow_job
The total bytes of streaming data processed by this Dataflow job. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
job/total_vcpu_time GA(project)
Total vCPU time
GAUGEINT64s
dataflow_job
The total vCPU seconds used by this Dataflow job. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
job_id: The ID of the current run of this pipeline.
job/user_counter GA(project)
User Counter
GAUGEDOUBLE1
dataflow_job
A user-defined counter metric. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
metric_name: The name provided by the user for this counter.
job_id: The ID of the current run of this pipeline.
ptransform: The pipeline PTransform reporting this counter value.
job/worker_utilization_hint BETA(project)
Worker Utilization Hint
GAUGEDOUBLE%
dataflow_job
Worker utilization hint for autoscaling. This hint value is configured by the customers and defines a target worker CPU utilization range thus influencing scaling aggressiveness.
job_id: The job id of the associated dataflow job.
job/worker_utilization_hint_is_actively_used BETA(project)
Worker Utilization Hint Is Actively Used
GAUGEBOOL
dataflow_job
Reports whether or not the worker utilization hint is actively used by the horizontal autoscaling policy.
job_id: The job id of the associated dataflow job.
quota/region_endpoint_shuffle_slot/exceeded GA(project)
Shuffle slots per region per endpoint quota exceeded error
DELTAINT641
dataflow.googleapis.com/Project
Number of attempts to exceed the limit on quota metric dataflow.googleapis.com/region_endpoint_shuffle_slot. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
endpoint: The shuffle endpoint.
quota/region_endpoint_shuffle_slot/limit GA(project)
Shuffle slots per region per endpoint quota limit
GAUGEINT641
dataflow.googleapis.com/Project
Current limit on quota metric dataflow.googleapis.com/region_endpoint_shuffle_slot. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
endpoint: The shuffle endpoint.
quota/region_endpoint_shuffle_slot/usage GA(project)
Shuffle slots per region per endpoint quota usage
GAUGEINT641
dataflow.googleapis.com/Project
Current usage on quota metric dataflow.googleapis.com/region_endpoint_shuffle_slot. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
endpoint: The shuffle endpoint.
worker/memory/bytes_used GA(project)
Container memory used
GAUGEINT64By
dataflow_worker
The memory usage in bytes by a particular container instance on a Dataflow worker.
container: Container instance name, such as "java-streaming" or "harness".
worker/memory/container_limit GA(project)
Container memory limit
GAUGEINT64By
dataflow_worker
Maximum RAM size in bytes available to a particular container instance on a Dataflow worker.
container: Container instance name, such as "java-streaming" or "harness".
worker/memory/total_limit GA(project)
Worker memory limit
GAUGEINT64By
dataflow_worker
RAM size in bytes available to a Dataflow worker.

datamigration

Metrics from Database Migration. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with datamigration.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
migration_job/initial_sync_complete BETA(project)
Initial replication sync complete
GAUGEBOOL
datamigration.googleapis.com/MigrationJob
Whether all databases on the destination DB instance have completed the initial sync and are replicating changes from the source.
database: The database in the given instance associated with this metric.
migration_job/max_replica_bytes_lag BETA(project)
Max lag bytes of the migration job data
GAUGEINT64By
datamigration.googleapis.com/MigrationJob
Current replication lag, aggregated across all of the migration job's data. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Database name.
migration_job/max_replica_sec_lag BETA(project)
Max lag in seconds of the migration job data
GAUGEINT64s
datamigration.googleapis.com/MigrationJob
Current replication lag, aggregated across all of the migration job's data. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Database name.
migration_job/sqlserver/processed_file_bytes_count BETA(project)
Processed Files Bytes Count
DELTAINT64By
datamigration.googleapis.com/MigrationJob
Number of bytes uploaded to the destination. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Database name.
migration_job/sqlserver/processed_file_count BETA(project)
Processed Files Count
DELTAINT641
datamigration.googleapis.com/MigrationJob
Number of files uploaded to the destination. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Database name.
migration_job/sqlserver/transaction_log_upload_sec_lag BETA(project)
Transaction Log Upload Sec Lag
GAUGEINT64s
datamigration.googleapis.com/MigrationJob
The lag in seconds since the last uploaded transaction log. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Database name.
migration_job/sqlserver/unprocessed_file_bytes BETA(project)
Unprocessed File Bytes
GAUGEINT64By
datamigration.googleapis.com/MigrationJob
Unprocessed file bytes waiting to be uploaded to Cloud SQL. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Database name.
migration_job/sqlserver/unprocessed_files BETA(project)
Unprocessed Files
GAUGEINT641
datamigration.googleapis.com/MigrationJob
Unprocessed files waiting to be uploaded to Cloud SQL. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Database name.
migration_job/write_bytes_count BETA(project)
Write Bytes Count
DELTAINT64By
datamigration.googleapis.com/MigrationJob
Number of bytes written to the destination. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Database name.
migration_job/write_rows_count BETA(project)
Write Rows Count
DELTAINT641
datamigration.googleapis.com/MigrationJob
Number of rows written to the destination. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Database name.

dataplex

Metrics from Dataplex. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with dataplex.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
asset/active BETA(project)
Active
GAUGEINT641
dataplex.googleapis.com/Asset
Whether the asset is active.
resource_type: The type of the referenced resource.
zone_type: The type of the parent zone.
asset/data_items BETA(project)
Data items
GAUGEINT641
dataplex.googleapis.com/Asset
The count of items within the referenced resource.
resource_type: The type of the referenced resource.
zone_type: The type of the parent zone.
asset/data_size BETA(project)
Data size
GAUGEINT64By
dataplex.googleapis.com/Asset
The number of stored bytes within the referenced resource.
resource_type: The type of the referenced resource.
zone_type: The type of the parent zone.
asset/entities_pending_bigquery_iampolicy_updates BETA(project)
Entities with BigQuery IAM policy updates pending
GAUGEINT641
dataplex.googleapis.com/Asset
Number of Entities associated with the Asset with BigQuery IAM policy updates pending.
resource_type: The type of the referenced resource.
zone_type: The type of the parent zone.
asset/entities_pending_bigquery_metadata_updates BETA(project)
Entities with BigQuery metadata updates pending
GAUGEINT641
dataplex.googleapis.com/Asset
Number of Entities associated with the Asset with BigQuery metadata updates pending.
resource_type: The type of the referenced resource.
zone_type: The type of the parent zone.
asset/filesets BETA(project)
Filesets
GAUGEINT641
dataplex.googleapis.com/Asset
The count of fileset entities within the referenced resource.
resource_type: The type of the referenced resource.
zone_type: The type of the parent zone.
asset/requires_action BETA(project)
Requires action
GAUGEINT641
dataplex.googleapis.com/Asset
Whether the asset has unresolved admin actions.
resource_type: The type of the referenced resource.
zone_type: The type of the parent zone.
asset/tables BETA(project)
Tables
GAUGEINT641
dataplex.googleapis.com/Asset
The count of table entities within the referenced resource.
resource_type: The type of the referenced resource.
zone_type: The type of the parent zone.
lake/requires_action BETA(project)
Requires action
GAUGEINT641
dataplex.googleapis.com/Lake
Whether the lake has unresolved admin actions.
zone/requires_action BETA(project)
Requires action
GAUGEINT641
dataplex.googleapis.com/Zone
Whether the zone has unresolved admin actions.
type: The type of the zone.

dataproc

Metrics from Dataproc. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with dataproc.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
batch/spark/executors BETA(project)
Batch Spark executors
GAUGEINT641
cloud_dataproc_batch
Indicates the number of Batch Spark executors. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
status: The status of Batch Spark executors, one of [running, pending-delete, required, maximum-needed, target].
cluster/capacity_deviation BETA(project)
Cluster capacity deviation
GAUGEINT641
cloud_dataproc_cluster
Difference between the expected node count in the cluster and the actual active YARN node managers. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
cluster/hdfs/datanodes GA(project)
HDFS DataNodes
GAUGEINT641
cloud_dataproc_cluster
Indicates the number of HDFS DataNodes that are running inside a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
status: The status of DataNode such as running, decommissioning, decommissioned.
cluster/hdfs/storage_capacity GA(project)
HDFS capacity
GAUGEDOUBLEGiBy
cloud_dataproc_cluster
Indicates capacity of HDFS system running on cluster in GB. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
status: The status of HDFS capacity such as used, remaining.
cluster/hdfs/storage_utilization GA(project)
HDFS storage utilization
GAUGEDOUBLE1
cloud_dataproc_cluster
The percentage of HDFS storage currently used. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
cluster/hdfs/unhealthy_blocks GA(project)
Unhealthy HDFS blocks by status
GAUGEINT641
cloud_dataproc_cluster
Indicates the number of unhealthy blocks inside the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
status: The status of unhealthy HDFS block such as missing, under_replication, corrupt, pending_deletion, missing_repl_one.
cluster/job/completion_time GA(project)
Job duration
DELTADISTRIBUTIONs
cloud_dataproc_cluster
The time jobs took to complete from the time the user submits a job to the time Dataproc reports it is completed. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
job_type: The type of job such as HADOOP_JOB or SPARK_JOB.
cluster/job/duration GA(project)
Job state duration
DELTADISTRIBUTIONs
cloud_dataproc_cluster
The time jobs have spent in a given state. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
job_type: The type of job such as HADOOP_JOB or SPARK_JOB.
state: The state of the job such as PENDING or RUNNING.
cluster/job/failed_count GA(project)
Failed jobs
DELTAINT641
cloud_dataproc_cluster
Indicates the number of jobs that have failed on a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
error_type: The rpc code of the error such as 404 or 503.
job_type: The type of job such as HADOOP_JOB or SPARK_JOB.
cluster/job/running_count GA(project)
Running jobs
GAUGEINT641
cloud_dataproc_cluster
Indicates the number of jobs that are running on a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
job_type: The type of job such as HADOOP_JOB or SPARK_JOB.
cluster/job/submitted_count GA(project)
Submitted jobs
DELTAINT641
cloud_dataproc_cluster
Indicates the number of jobs that have been submitted to a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
job_type: The type of job such as HADOOP_JOB or SPARK_JOB.
cluster/mig_instances/failed_count BETA(project)
Dataproc Managed Instance Group Instance Errors
DELTAINT641
cloud_dataproc_cluster
Indicates the number of instance failures for a managed instance group. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
mig_uuid: The unique identifier of managed instance group associated with the cluster.
error_code: The error code of the instances which failed while creating/recreating.
cluster/nodes/expected BETA(project)
Expected Nodes
GAUGEINT641
cloud_dataproc_cluster
Indicates the number of nodes that are expected in a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
node_type: The type of node. One of [SINGLE_NODE, MASTER, HA_PRIMARY_MASTER, HA_SECONDARY_MASTER, HA_TERTIARY_MASTER, PRIMARY_WORKER, SECONDARY_WORKER].
cluster/nodes/failed_count BETA(project)
Failed Nodes
DELTAINT641
cloud_dataproc_cluster
Indicates the number of nodes that have failed in a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
node_type: The type of node. One of [SINGLE_NODE, MASTER, HA_PRIMARY_MASTER, HA_SECONDARY_MASTER, HA_TERTIARY_MASTER, PRIMARY_WORKER, SECONDARY_WORKER].
failure_type: Indicates the type of failure such as GCE_ERROR, DATAPROC_AGENT_ERROR or DATAPROC_DATAPLANE_ERROR.
cluster/nodes/recovered_count BETA(project)
Recovered Nodes
DELTAINT641
cloud_dataproc_cluster
Indicates the number of nodes that are detected as failed and have been successfully removed from cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
node_type: The type of node. One of [SINGLE_NODE, MASTER, HA_PRIMARY_MASTER, HA_SECONDARY_MASTER, HA_TERTIARY_MASTER, PRIMARY_WORKER, SECONDARY_WORKER].
cluster/nodes/running BETA(project)
Running Nodes
GAUGEINT641
cloud_dataproc_cluster
Indicates the number of nodes in running state. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
node_type: The type of node. One of [SINGLE_NODE, MASTER, HA_PRIMARY_MASTER, HA_SECONDARY_MASTER, HA_TERTIARY_MASTER, PRIMARY_WORKER, SECONDARY_WORKER].
cluster/operation/completion_time GA(project)
Operation duration
DELTADISTRIBUTIONs
cloud_dataproc_cluster
The time operations took to complete from the time the user submits a operation to the time Dataproc reports it is completed. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
operation_type: The type of operation such as CREATE_CLUSTER or DELETE_CLUSTER.
cluster/operation/duration GA(project)
Operation state duration
DELTADISTRIBUTIONs
cloud_dataproc_cluster
The time operations have spent in a given state. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
operation_type: The type of operation such as CREATE_CLUSTER or DELETE_CLUSTER.
state: The state of the operation such as PENDING or CREATE_VMS.
cluster/operation/failed_count GA(project)
Failed operations
DELTAINT641
cloud_dataproc_cluster
Indicates the number of operations that have failed on a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
error_type: The rpc code of the error such as 404 or 503.
operation_type: The type of operation such as CREATE_CLUSTER or DELETE_CLUSTER.
cluster/operation/running_count GA(project)
Running operations
GAUGEINT641
cloud_dataproc_cluster
Indicates the number of operations that are running on a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
operation_type: The type of operation such as CREATE_CLUSTER or DELETE_CLUSTER.
cluster/operation/submitted_count GA(project)
Submitted operations
DELTAINT641
cloud_dataproc_cluster
Indicates the number of operations that have been submitted to a cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
operation_type: The type of operation such as CREATE_CLUSTER or DELETE_CLUSTER.
cluster/yarn/allocated_memory_percentage GA(project)
YARN allocated memory percentage
GAUGEDOUBLE1
cloud_dataproc_cluster
The percentage of YARN memory is allocated. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
cluster/yarn/apps GA(project)
YARN active applications
GAUGEINT641
cloud_dataproc_cluster
Indicates the number of active YARN applications. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
status: The status of YARN application such as running, pending, completed, failed, killed.
cluster/yarn/containers GA(project)
YARN containers
GAUGEINT641
cloud_dataproc_cluster
Indicates the number of YARN containers. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
status: The status of YARN container such as allocated, pending, reserved.
cluster/yarn/memory_size GA(project)
YARN memory size
GAUGEDOUBLEGiBy
cloud_dataproc_cluster
Indicates the YARN memory size in GB. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
status: The status of YARN memory such as available, allocated, reserved.
cluster/yarn/nodemanagers GA(project)
YARN NodeManagers
GAUGEINT641
cloud_dataproc_cluster
Indicates the number of YARN NodeManagers running inside cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
status: The status of YARN NodeManager such as active, lost, unhealthy, rebooted, decommissioned.
cluster/yarn/pending_memory_size GA(project)
YARN pending memory size
GAUGEDOUBLEGiBy
cloud_dataproc_cluster
The current memory request, in GB, that is pending to be fulfilled by the scheduler. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
cluster/yarn/virtual_cores GA(project)
YARN virtual cores
GAUGEINT641
cloud_dataproc_cluster
Indicates the number of virtual cores in YARN. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
status: The status of YARN virtual cores such as pending, allocated, available, reserved.
job/state GA(project)
Job state
GAUGEBOOL
cloud_dataproc_job
Indicates whether job is currently in a particular state or not. True indicates in that state and False indicates exited that state. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: The state of the job such as PENDING or RUNNING.
job/yarn/memory_seconds BETA(project)
Consumed memory seconds by job
GAUGEINT641
cloud_dataproc_job
Indicates the Memory Seconds consumed by the `job_id` job per yarn `application_id`. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
application_id: Yarn application ID.
job/yarn/vcore_seconds BETA(project)
Consumed vcore seconds by job
GAUGEINT641
cloud_dataproc_job
Indicates the VCore Seconds consumed by the `job_id` job per yarn `application_id`. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
application_id: Yarn application ID.
node/problem_count BETA(project)
Problem count
DELTAINT641
gce_instance
Total number of times a specific type of problem has occurred. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
reason: Description of the type of the problem.
node/yarn/nodemanager/health BETA(project)
YARN NodeManager Health
GAUGEINT641
gce_instance
YARN nodemanager health state. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: Health state of yarn nodemanager for the gce instance resource.
session/spark/executors BETA(project)
Session Spark executors
GAUGEINT641
cloud_dataproc_session
Indicates the number of Session Spark executors. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
status: The status of Session Spark executors, one of [running, pending-delete, required, maximum-needed, target].

datastore

Metrics from Datastore. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with datastore.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
api/request_count GA(project)
Requests
DELTAINT641
datastore_request
Count of Datastore API calls. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
api_method: The API method called (for example: BeginTransaction or Commit).
response_code: Operation response code string, derived as a string representation of a HTTP status code (e.g. success, not_found, unavailable).
entity/read_sizes GA(project)
Sizes of read entities
DELTADISTRIBUTIONBy
datastore_request
Distribution of sizes of read entities, grouped by type. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
type: The type of entity read (for example: KEYS_ONLY or ENTITY_SCAN).
entity/ttl_deletion_count GA(project)
TTL deletion count
DELTAINT641
datastore_request
Total count of entities deleted by TTL services. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
entity/ttl_expiration_to_deletion_delays GA(project)
TTL expiration to deletion delays
DELTADISTRIBUTIONs
datastore_request
Time elapsed between when an entity with a TTL expired, and when it was actually deleted. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
entity/write_sizes GA(project)
Sizes of written entities
DELTADISTRIBUTIONBy
datastore_request
Distribution of sizes of written entities, grouped by op. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
op: The operation type (for example: CREATE or DELETE_NOOP).
index/write_count GA(project)
Index writes
DELTAINT641
datastore_request
Count of Datastore index writes. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.

datastream

Metrics from Datastream. Launch stages of these metrics: ALPHA BETA

The "metric type" strings in this table must be prefixed with datastream.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
stream/bytes_count BETA(project)
Stream bytes count
DELTAINT64By
datastream.googleapis.com/Stream
The stream bytes count.
read_method: The events read method.
stream/event_count BETA(project)
Stream event count
DELTAINT641
datastream.googleapis.com/Stream
The stream event count.
read_method: The events read method.
stream/freshness BETA(project)
Stream freshness
GAUGEINT64s
datastream.googleapis.com/Stream
Indicates how far behind Datastream is compared to the source. This is calculated as the time difference between when the change occurred in the source database, until it is read by Datastream. If no new changes are available to read then the freshness is set to 0.
stream/latencies BETA(project)
Stream latencies
DELTADISTRIBUTIONs
datastream.googleapis.com/Stream
The stream latencies.
read_method: The events read method.
stream/system_latencies BETA(project)
Stream system latencies
DELTADISTRIBUTIONs
datastream.googleapis.com/Stream
A distribution of the latency calculated from when the event was read from the source until it was written to the destination.
read_method: The events read method.
stream/total_latencies BETA(project)
Stream total latencies
DELTADISTRIBUTIONs
datastream.googleapis.com/Stream
A distribution of the latency calculated from when the event was created at the source until it was written to the destination.
read_method: The events read method.
stream/unsupported_event_count BETA(project)
Stream unsupported event count
DELTAINT641
datastream.googleapis.com/Stream
The stream unsupported event count.
read_method: The events read method.
object_name: The name of the object that reported the unsupported events.
error_code: The reason the events are unsupported.
streamobject/bytes_count ALPHA(project)
bytes count per stream object
DELTAINT64By
datastream.googleapis.com/StreamObject
The bytes count per stream object.
read_method: The events read method.
streamobject/event_count ALPHA(project)
event count per stream object
DELTAINT641
datastream.googleapis.com/StreamObject
The event count per stream object.
read_method: The events read method.
streamobject/unsupported_event_count ALPHA(project)
unsupported event count per stream object
DELTAINT641
datastream.googleapis.com/StreamObject
The unsupported event count per stream object.
read_method: The events read method.

dbinsights

Metrics from Cloud SQL for MySQL. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with dbinsights.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
aggregate/execution_count BETA(project)
Number of calls
CUMULATIVEINT641
cloudsql_instance_database
Total number of query executions per user and database.
user: The user of the database.
client_addr: The IP address of the database client.
aggregate/execution_time BETA(project)
Execution time
CUMULATIVEINT64us{CPU}
cloudsql_instance_database
Cumulative query execution time per user and database. This is the sum of the time required for the CPU, IO wait, lock wait, process context switching, and scheduling for all the processes involved in the query execution.
user: The user of the database.
client_addr: The IP address of the database client.
aggregate/io_time BETA(project)
IO wait time
CUMULATIVEINT64us
cloudsql_instance_database
Cumulative IO wait time per user and database.
user: The user of the database.
client_addr: The IP address of the database client.
aggregate/latencies BETA(project)
Latency
CUMULATIVEDISTRIBUTIONus
cloudsql_instance_database
Cumulative query latency distribution per user and database.
user: The user of the database.
client_addr: The IP address of the database client.
aggregate/lock_time BETA(project)
Lock wait time
CUMULATIVEINT64us
cloudsql_instance_database
Cumulative lock wait time per user and database.
user: The user of the database.
client_addr: The IP address of the database client.
lock_type: The lock type. For PostgreSQL, it can be lw, hw, or buffer_pin. For MySQL, a value is not required.
aggregate/row_count BETA(project)
Affected rows
CUMULATIVEINT641
cloudsql_instance_database
Total number of rows affected during query execution.
user: The user of the database.
client_addr: The IP address of the database client.
row_status: The status of rows. For Postgres, it can be output. For MySQL, it can be output or scan).
perquery/execution_count BETA(project)
Number of calls per query
CUMULATIVEINT641
cloudsql_instance_database
Total number of query executions per user, database, and query.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
query_hash: A unique hash of the query string.
perquery/execution_time BETA(project)
Execution time per query
CUMULATIVEINT64us{CPU}
cloudsql_instance_database
Cumulative query execution time per user, database, and query. This is the sum of the time required for the CPU, IO wait, lock wait, process context switching, and scheduling for all the processes involved in the query execution.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
query_hash: A unique hash of the query string.
perquery/io_time BETA(project)
IO wait time per query
CUMULATIVEINT64us
cloudsql_instance_database
Cumulative io wait time per user, database, and query.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
query_hash: A unique hash of the query string.
perquery/latencies BETA(project)
Latency per query
CUMULATIVEDISTRIBUTIONus
cloudsql_instance_database
Cumulative query latency distribution per user, database, and query.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
query_hash: A unique hash of the query string.
perquery/lock_time BETA(project)
Lock wait time per query
CUMULATIVEINT64us
cloudsql_instance_database
Cumulative lock wait time per user, database, and query.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
lock_type: The lock type. For PostgreSQL, it can be lw, hw, or buffer_pin. For MySQL, a value is not required.
query_hash: A unique hash of the query string.
perquery/row_count BETA(project)
Affected rows per query
CUMULATIVEINT641
cloudsql_instance_database
Total number of rows affected during query execution.
querystring: The normalized query.
user: The user of the database.
client_addr: The IP address of the database client.
query_hash: A unique hash of the query string.
row_status: The status of rows. For Postgres, it can be output. For MySQL, it can be output or scan).
pertag/execution_count BETA(project)
Number of calls per tag
CUMULATIVEINT641
cloudsql_instance_database
Total number of query executions per user, database, and tag.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the database driver.
framework: The name of the framework.
route: The name of the route.
tag_hash: A unique hash of the tag string.
pertag/execution_time BETA(project)
Execution time per tag
CUMULATIVEINT64us{CPU}
cloudsql_instance_database
Cumulative query execution time per user, database, and tag. This is the sum of the time required for the CPU, IO wait, lock wait, process context switching, and scheduling for all the processes involved in the query execution.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the database driver.
framework: The name of the framework.
route: The name of the route.
tag_hash: A unique hash of the tag string.
pertag/io_time BETA(project)
IO wait time per tag
CUMULATIVEINT64us
cloudsql_instance_database
Cumulative IO wait time per user, database and tag.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the database driver.
framework: The name of the framework.
route: The name of the route.
tag_hash: A unique hash of the tag string.
pertag/latencies BETA(project)
Latency per tag
CUMULATIVEDISTRIBUTIONus
cloudsql_instance_database
Cumulative query latency distribution per user, database, and tag.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the database driver.
framework: The name of the framework.
route: The name of the route.
tag_hash: A unique hash of the tag string.
pertag/lock_time BETA(project)
Lock wait time per tag
CUMULATIVEINT64us
cloudsql_instance_database
Cumulative lock wait time per user, database and tag.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the database driver.
framework: The name of the framework.
route: The name of the route.
lock_type: The lock type. For PostgreSQL, it can be lw, hw, or buffer_pin. For MySQL, a value is not required.
tag_hash: A unique hash of the tag string.
pertag/row_count BETA(project)
Affected rows per tag
CUMULATIVEINT641
cloudsql_instance_database
Total number of rows affected during query execution.
user: The user of the database.
client_addr: The IP address of the database client.
action: The name of the action.
application: The name of the application.
controller: The name of the controller.
db_driver: The name of the database driver.
framework: The name of the framework.
route: The name of the route.
tag_hash: A unique hash of the tag string.
row_status: The status of rows. For Postgres, it can be output. For MySQL, it can be output or scan).

dialogflow

Metrics from Dialogflow. Launch stages of these metrics: ALPHA BETA

The "metric type" strings in this table must be prefixed with dialogflow.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
location/phone_call_count BETA(project)
Phone Call
DELTAINT641
dialogflow.googleapis.com/Location
The number of phone calls made in the location. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
call_status: Status of the phone call: successful, reject, etc.
location/phone_call_duration_count BETA(project)
Phone Call Duration
DELTAINT641
dialogflow.googleapis.com/Location
Duration in seconds of phone calls made in the location. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
quota/generator_suggestion_operations_per_model_type/exceeded ALPHA(project)
Generator suggestion operations quota exceeded error
DELTAINT641
dialogflow.googleapis.com/Location
Number of attempts to exceed the limit on quota metric dialogflow.googleapis.com/generator_suggestion_operations_per_model_type. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
model_type: The model type custom dimension.
quota/generator_suggestion_operations_per_model_type/limit ALPHA(project)
Generator suggestion operations quota limit
GAUGEINT641
dialogflow.googleapis.com/Location
Current limit on quota metric dialogflow.googleapis.com/generator_suggestion_operations_per_model_type. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
model_type: The model type custom dimension.
quota/generator_suggestion_operations_per_model_type/usage ALPHA(project)
Generator suggestion operations quota usage
DELTAINT641
dialogflow.googleapis.com/Location
Current usage on quota metric dialogflow.googleapis.com/generator_suggestion_operations_per_model_type. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
model_type: The model type custom dimension.
quota/generator_suggestion_operations_per_model_type_per_region/exceeded ALPHA(project)
Generator suggestion operations quota exceeded error
DELTAINT641
dialogflow.googleapis.com/Location
Number of attempts to exceed the limit on quota metric dialogflow.googleapis.com/generator_suggestion_operations_per_model_type_per_region. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
model_type: The model type custom dimension.
quota/generator_suggestion_operations_per_model_type_per_region/limit ALPHA(project)
Generator suggestion operations quota limit
GAUGEINT641
dialogflow.googleapis.com/Location
Current limit on quota metric dialogflow.googleapis.com/generator_suggestion_operations_per_model_type_per_region. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
model_type: The model type custom dimension.
quota/generator_suggestion_operations_per_model_type_per_region/usage ALPHA(project)
Generator suggestion operations quota usage
DELTAINT641
dialogflow.googleapis.com/Location
Current usage on quota metric dialogflow.googleapis.com/generator_suggestion_operations_per_model_type_per_region. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
model_type: The model type custom dimension.

displayvideo

Metrics from Display & Video 360 API. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with displayvideo.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
allocate_requests_per_advertiser GA(project)
All requests with advertiser id
DELTAINT641
displayvideo.googleapis.com/Advertiser
All requests with advertiser id.
write_requests_per_advertiser GA(project)
Write requests with advertiser id
DELTAINT641
displayvideo.googleapis.com/Advertiser
Write requests with advertiser id.

dlp

Metrics from Cloud Data Loss Prevention. Launch stages of these metrics: ALPHA BETA

The "metric type" strings in this table must be prefixed with dlp.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
content_bytes_inspected_count BETA(project)
Content bytes inspected
DELTAINT64By
cloud_dlp_project
Content bytes inspected. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
content_bytes_transformed_count BETA(project)
Content bytes transformed
DELTAINT64By
cloud_dlp_project
Content bytes transformed. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
finding_count ALPHA(project)
Findings
DELTAINT641
cloud_dlp_project
Number of findings. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
info_type: The info type of the finding.
job_result_count BETA(project)
Job results
DELTAINT641
cloud_dlp_project
Job results. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
success: (BOOL) True if the job result was success and false otherwise.
job_trigger_run_count BETA(project)
Job trigger runs
DELTAINT641
cloud_dlp_project
Job trigger runs. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
status: Status of trigger.
job_type: The type of job triggered.
storage_bytes_inspected_count BETA(project)
Storage bytes inspected
DELTAINT64By
cloud_dlp_project
Storage bytes inspected. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
storage_bytes_transformed_count BETA(project)
Storage bytes transformed
DELTAINT64By
cloud_dlp_project
Storage bytes transformed. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.

dns

Metrics from Cloud DNS. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with dns.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
query/latencies BETA(project)
DNS server latencies
DELTADISTRIBUTIONms
dns_query
Distribution of latency of DNS requests. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
query/response_count BETA(project)
DNS response counts
DELTAINT64{request}
dns_query
Rate of all DNS responses from private DNS. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_code: The DNS RCODE of the response, e.g. NOERROR, NXDOMAIN, FORMERR.

earthengine

Metrics from Earth Engine. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with earthengine.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
project/cpu/in_progress_usage_time BETA(project)
In-progress EECU-seconds
DELTADOUBLEs{CPU}
earthengine.googleapis.com/Project
Earth Engine compute usage of all requests in EECU-seconds (https://developers.google.com/earth-engine/guides/computation_overview#eecus). Usage is reported periodically as a request is running. Sampled every 10 seconds.
compute_type: The type of computation. One of [online, batch, highvolume].
client_type: The client type (if known), for example: python/v0.1.300.
workload_tag: The workload tag (if supplied by the user), for example: my-export1.
project/cpu/usage_time BETA(project)
Completed EECU-seconds
DELTADOUBLEs{CPU}
earthengine.googleapis.com/Project
Earth Engine compute usage of successful requests in EECU-seconds (https://developers.google.com/earth-engine/guides/computation_overview#eecus). Usage is reported when a request completes.
compute_type: The type of computation. One of [online, batch, highvolume].
client_type: The client type (if known), for example: python/v0.1.300.
workload_tag: The workload tag (if supplied by the user), for example: my-export1.
project/disk/used_bytes BETA(project)
Used bytes
GAUGEINT64By
earthengine.googleapis.com/Project
The number of bytes of asset storage used. Sampled every 1800 seconds.

edgecache

Metrics from Media CDN. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with edgecache.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
edge_cache_route_rule/cmcd/buffer_lengths BETA(project)
Buffer length of the client
DELTADISTRIBUTIONms
edgecache.googleapis.com/EdgeCacheRouteRule
A distribution of the client's buffer length.
stream_type: The type of stream being requested, one of [UNKNOWN, VOD, LIVE] with UNKNOWN when the stream type is not reported.
device_type: The device type of the client (currently not implemented and is UNKNOWN).
client_country: The country of the user sending the request based on GeoIP.
client_continent: The continent of the user sending the request based on GeoIP, one of [Africa, Asia, Europe, North America, South America, Other].
edge_cache_route_rule/cmcd/buffer_starvation_count BETA(project)
Buffer starvation of the client
DELTAINT641
edgecache.googleapis.com/EdgeCacheRouteRule
A count of the client's buffer starvation.
stream_type: The type of stream being requested, one of [UNKNOWN, VOD, LIVE] with UNKNOWN when the stream type is not reported.
device_type: The device type of the client (currently not implemented and is UNKNOWN).
client_country: The country of the user sending the request based on GeoIP.
client_continent: The continent of the user sending the request based on GeoIP, one of [Africa, Asia, Europe, North America, South America, Other].
edge_cache_route_rule/cmcd/encoded_bitrates BETA(project)
Encoded bitrate of the client
DELTADISTRIBUTIONkbit/s
edgecache.googleapis.com/EdgeCacheRouteRule
A distribution of the client's encoded bitrate.
stream_type: The type of stream being requested, one of [UNKNOWN, VOD, LIVE] with UNKNOWN when the stream type is not reported.
device_type: The device type of the client (currently not implemented and is UNKNOWN).
client_country: The country of the user sending the request based on GeoIP.
client_continent: The continent of the user sending the request based on GeoIP, one of [Africa, Asia, Europe, North America, South America, Other].
edge_cache_route_rule/cmcd/encoded_bitrates_over_measured_throughputs BETA(project)
Encoded bitrate over measured throughput of the client
DELTADISTRIBUTION1
edgecache.googleapis.com/EdgeCacheRouteRule
A distribution of the client's buffer length.
stream_type: The type of stream being requested, one of [UNKNOWN, VOD, LIVE] with UNKNOWN when the stream type is not reported.
device_type: The device type of the client (currently not implemented and is UNKNOWN).
client_country: The country of the user sending the request based on GeoIP.
client_continent: The continent of the user sending the request based on GeoIP, one of [Africa, Asia, Europe, North America, South America, Other].
edge_cache_route_rule/cmcd/measured_throughputs BETA(project)
Measured throughput of the client
DELTADISTRIBUTIONkbit/s
edgecache.googleapis.com/EdgeCacheRouteRule
A distribution of the client's measured throughput.
stream_type: The type of stream being requested, one of [UNKNOWN, VOD, LIVE] with UNKNOWN when the stream type is not reported.
device_type: The device type of the client (currently not implemented and is UNKNOWN).
client_country: The country of the user sending the request based on GeoIP.
client_continent: The continent of the user sending the request based on GeoIP, one of [Africa, Asia, Europe, North America, South America, Other].
edge_cache_route_rule/cmcd/playback_time_count BETA(project)
Playback time of the client
DELTAINT641
edgecache.googleapis.com/EdgeCacheRouteRule
A count of playback time.
stream_type: The type of stream being requested, one of [UNKNOWN, VOD, LIVE] with UNKNOWN when the stream type is not reported.
device_type: The device type of the client (currently not implemented and is UNKNOWN).
client_country: The country of the user sending the request based on GeoIP.
client_continent: The continent of the user sending the request based on GeoIP, one of [Africa, Asia, Europe, North America, South America, Other].
edge_cache_route_rule/cmcd/request_count BETA(project)
Requests with CMCD
DELTAINT641
edgecache.googleapis.com/EdgeCacheRouteRule
A count of requests with CMCD.
cmcd_version: The version of CMCD sent in the request, one of [NONE, UNKNOWN, 1] with NONE being no CMCD sent and UNKNOWN being an unknown version.
stream_type: The type of stream being requested, one of [UNKNOWN, VOD, LIVE] with UNKNOWN when the stream type is not reported.
device_type: The device type of the client (currently not implemented and is UNKNOWN).
client_country: The country of the user sending the request based on GeoIP.
client_continent: The continent of the user sending the request based on GeoIP, one of [Africa, Asia, Europe, North America, South America, Other].
edge_cache_route_rule/frontend_rtt_by_client BETA(project)
Frontend round trip time by client
DELTADISTRIBUTIONms
edgecache.googleapis.com/EdgeCacheRouteRule
Round trip times from the end user to the proxy terminating the request.
proxy_continent: The continent of the proxy terminating the request, one of [Africa, Asia, Europe, North America, South America, Oceania, Other].
client_country: The country of the user sending the request based on GeoIP.
client_continent: The continent of the user sending the request based on GeoIP, one of [Africa, Asia, Europe, North America, South America, Other].
protocol: The protocol used by the client, one of [HTTP/1.1, HTTP/2, gQUIC, HTTP/3].
edge_cache_route_rule/http_ttfb BETA(project)
HTTP time to first byte
DELTADISTRIBUTIONms
edgecache.googleapis.com/EdgeCacheRouteRule
A distribution of latencies calculated from when the request was received by the proxy until the first byte of the response is sent (not received).
response_code: (INT64) The response code served to the user.
response_code_class: The class of the response code served to the user, such as "2xx" or "4xx".
tls_version: The TLS version the client is using to connect, one of [none, TLS 1.0, TLS 1.1, TLS 1.2, TLS 1.3].
ip_protocol: The IP protocol the client connected to, one of [IPv4, IPv6].
cache_result: The result returned from the cache, one of [HIT, MISS, PARTIAL, REVALIDATED, STALE, BYPASSED, UNCACHEABLE].
protocol: The protocol used by the client, one of [HTTP/1.1, HTTP/2, gQUIC, HTTP/3].
edge_cache_route_rule/http_ttfb_by_client BETA(project)
HTTP time to first byte by client
DELTADISTRIBUTIONms
edgecache.googleapis.com/EdgeCacheRouteRule
A distribution of latencies calculated from when the request was received by the proxy until the first byte of the response is sent (not received) with client location information.
proxy_continent: The continent of the proxy terminating the request, one of [Africa, Asia, Europe, North America, South America, Oceania, Other].
client_country: The country of the user sending the request based on GeoIP.
client_continent: The continent of the user sending the request based on GeoIP, one of [Africa, Asia, Europe, North America, South America, Other].
protocol: The protocol used by the client, one of [HTTP/1.1, HTTP/2, gQUIC, HTTP/3].
edge_cache_route_rule/http_ttlb BETA(project)
HTTP time to last byte
DELTADISTRIBUTIONms
edgecache.googleapis.com/EdgeCacheRouteRule
A distribution of latencies calculated from when the request was received by the proxy until the last byte of the response is sent (not received).
response_code: (INT64) The response code served to the user.
response_code_class: The class of the response code served to the user, such as "2xx" or "4xx".
tls_version: The TLS version the client is using to connect, one of [none, TLS 1.0, TLS 1.1, TLS 1.2, TLS 1.3].
ip_protocol: The IP protocol the client connected to, one of [IPv4, IPv6].
cache_result: The result returned from the cache, one of [HIT, MISS, PARTIAL, REVALIDATED, STALE, BYPASSED, UNCACHEABLE].
protocol: The protocol used by the client, one of [HTTP/1.1, HTTP/2, gQUIC, HTTP/3].
edge_cache_route_rule/http_ttlb_by_client BETA(project)
HTTP time to last byte by client
DELTADISTRIBUTIONms
edgecache.googleapis.com/EdgeCacheRouteRule
A distribution of latencies calculated from when the request was received by the proxy until the last byte of the response is sent (not received) with client location information.
proxy_continent: The continent of the proxy terminating the request, one of [Africa, Asia, Europe, North America, South America, Oceania, Other].
client_country: The country of the user sending the request based on GeoIP.
client_continent: The continent of the user sending the request based on GeoIP, one of [Africa, Asia, Europe, North America, South America, Other].
protocol: The protocol used by the client, one of [HTTP/1.1, HTTP/2, gQUIC, HTTP/3].
edge_cache_route_rule/origin_http_ttfb BETA(project)
Origin time to first byte
DELTADISTRIBUTIONms
edgecache.googleapis.com/EdgeCacheRouteRule
A distribution of latencies calculated from when the request was sent by the proxy until the response headers are received from the origin.
response_code: (INT64) The response code from the origin.
response_code_class: The class of the response code from the origin, such as "2xx" or "4xx".
proxy_continent: The continent of the proxy, one of [Africa, Asia, Europe, North America, South America, Oceania, Other].
proxy_region: The region of the proxy, one of [Asia, Europe, India, Latin America, Middle East, North America, Oceania, South Korea & China, Other].
protocol: The protocol used to connect to the origin, one of [HTTP/1.1, HTTP/2, gQUIC, HTTP/3].
origin_name: The name of the origin that produced the response (may be a failover origin).
edge_cache_route_rule/origin_http_ttlb BETA(project)
Origin time to last byte
DELTADISTRIBUTIONms
edgecache.googleapis.com/EdgeCacheRouteRule
A distribution of latencies calculated from when the request was sent by the proxy to the origin until the last byte of the response is received from the origin.
response_code: (INT64) The response code from the origin.
response_code_class: The class of the response code from the origin, such as "2xx" or "4xx".
proxy_continent: The continent of the proxy, one of [Africa, Asia, Europe, North America, South America, Oceania, Other].
proxy_region: The region of the proxy, one of [Asia, Europe, India, Latin America, Middle East, North America, Oceania, South Korea & China, Other].
protocol: The protocol used to connect to the origin, one of [HTTP/1.1, HTTP/2, gQUIC, HTTP/3].
origin_name: The name of the origin that produced the response (may be a failover origin).
edge_cache_route_rule/origin_request_count BETA(project)
Origin request count
DELTAINT641
edgecache.googleapis.com/EdgeCacheRouteRule
Count of requests to an origin.
response_code: (INT64) The response code from the origin.
response_code_class: The class of the response code from the origin, such as "2xx" or "4xx".
proxy_continent: The continent of the proxy, one of [Africa, Asia, Europe, North America, South America, Oceania, Other].
proxy_region: The region of the proxy, one of [Asia, Europe, India, Latin America, Middle East, North America, Oceania, South Korea & China, Other].
protocol: The protocol used to connect to the origin, one of [HTTP/1.1, HTTP/2, gQUIC, HTTP/3].
origin_name: The name of the origin that produced the response (may be a failover origin).
edge_cache_route_rule/origin_response_bytes_count BETA(project)
Origin response bytes count
DELTAINT64By
edgecache.googleapis.com/EdgeCacheRouteRule
Count of response bytes from an origin.
response_code: (INT64) The response code from the origin.
response_code_class: The class of the response code from the origin, such as "2xx" or "4xx".
proxy_continent: The continent of the proxy, one of [Africa, Asia, Europe, North America, South America, Oceania, Other].
proxy_region: The region of the proxy, one of [Asia, Europe, India, Latin America, Middle East, North America, Oceania, South Korea & China, Other].
protocol: The protocol used to connect to the origin, one of [HTTP/1.1, HTTP/2, gQUIC, HTTP/3].
origin_name: The name of the origin that produced the response (may be a failover origin).
edge_cache_route_rule/request_bytes_count BETA(project)
Request bytes count
DELTAINT64By
edgecache.googleapis.com/EdgeCacheRouteRule
Count of request bytes (body and headers).
response_code: (INT64) The response code served to the user.
response_code_class: The class of the response code served to the user, such as "2xx" or "4xx".
proxy_continent: The continent of the proxy terminating the request, one of [Africa, Asia, Europe, North America, South America, Oceania, Other].
proxy_region: The region of the proxy terminating the request, one of [Asia, Europe, India, Latin America, Middle East, North America, Oceania, South Korea & China, Other].
cache_result: The result returned from the cache, one of [HIT, MISS, PARTIAL, REVALIDATED, STALE, BYPASSED, UNCACHEABLE].
signed_request_mode: (BOOL) Whether or not the route is expecting signed requests.
edge_cache_route_rule/request_bytes_count_by_client BETA(project)
Request bytes count by client
DELTAINT64By
edgecache.googleapis.com/EdgeCacheRouteRule
Count of request bytes (body and headers) with client location information.
response_code: (INT64) The response code served to the user.
response_code_class: The class of the response code served to the user, such as "2xx" or "4xx".
client_country: The country of the user sending the request based on GeoIP.
client_continent: The continent of the user sending the request based on GeoIP, one of [Africa, Asia, Europe, North America, South America, Other].
edge_cache_route_rule/request_count BETA(project)
Request count
DELTAINT641
edgecache.googleapis.com/EdgeCacheRouteRule
Count of requests.
response_code: (INT64) The response code served to the user.
response_code_class: The class of the response code served to the user, such as "2xx" or "4xx".
proxy_continent: The continent of the proxy terminating the request, one of [Africa, Asia, Europe, North America, South America, Oceania, Other].
proxy_region: The region of the proxy terminating the request, one of [Asia, Europe, India, Latin America, Middle East, North America, Oceania, South Korea & China, Other].
cache_result: The result returned from the cache, one of [HIT, MISS, PARTIAL, REVALIDATED, STALE, BYPASSED, UNCACHEABLE].
signed_request_mode: (BOOL) Whether or not the route is expecting signed requests.
edge_cache_route_rule/request_count_by_blocked BETA(project)
Request count by Cloud Armor action
DELTAINT641
edgecache.googleapis.com/EdgeCacheRouteRule
Count of requests with client location information and Cloud Armor action.
response_code: (INT64) The response code served to the user.
response_code_class: The class of the response code served to the user, such as "2xx" or "4xx".
client_country: The country of the user sending the request based on GeoIP.
client_continent: The continent of the user sending the request based on GeoIP, one of [Africa, Asia, Europe, North America, South America, Other].
blocked_by_cloud_armor: (BOOL) Whether or not the request was blocked by Cloud Armor.
edge_cache_route_rule/request_count_by_client BETA(project)
Request count by client
DELTAINT641
edgecache.googleapis.com/EdgeCacheRouteRule
Count of requests with client location information.
response_code: (INT64) The response code served to the user.
response_code_class: The class of the response code served to the user, such as "2xx" or "4xx".
client_country: The country of the user sending the request based on GeoIP.
client_continent: The continent of the user sending the request based on GeoIP, one of [Africa, Asia, Europe, North America, South America, Other].
cache_result: The result returned from the cache, one of [HIT, MISS, PARTIAL, REVALIDATED, STALE, BYPASSED, UNCACHEABLE].
signed_request_mode: (BOOL) Whether or not the route is expecting signed requests.
edge_cache_route_rule/response_bytes_count BETA(project)
Response bytes count
DELTAINT64By
edgecache.googleapis.com/EdgeCacheRouteRule
Count of response bytes.
response_code: (INT64) The response code served to the user.
response_code_class: The class of the response code served to the user, such as "2xx" or "4xx".
proxy_continent: The continent of the proxy terminating the request, one of [Africa, Asia, Europe, North America, South America, Oceania, Other].
proxy_region: The region of the proxy terminating the request, one of [Asia, Europe, India, Latin America, Middle East, North America, Oceania, South Korea & China, Other].
cache_result: The result returned from the cache, one of [HIT, MISS, PARTIAL, REVALIDATED, STALE, BYPASSED, UNCACHEABLE].
signed_request_mode: (BOOL) Whether or not the route is expecting signed requests.
edge_cache_route_rule/response_bytes_count_by_client BETA(project)
Response bytes count by client
DELTAINT64By
edgecache.googleapis.com/EdgeCacheRouteRule
Count of response bytes (body and headers) with client location information.
response_code: (INT64) The response code served to the user.
response_code_class: The class of the response code served to the user, such as "2xx" or "4xx".
client_country: The country of the user sending the request based on GeoIP.
client_continent: The continent of the user sending the request based on GeoIP, one of [Africa, Asia, Europe, North America, South America, Other].
edge_cache_route_rule/total_latencies BETA(project)
Total latencies
DELTADISTRIBUTIONms
edgecache.googleapis.com/EdgeCacheRouteRule
A distribution of latencies calculated from when the request was received by the proxy until the proxy got ACK from client on last response byte.
response_code: (INT64) The response code served to the user.
response_code_class: The class of the response code served to the user, such as "2xx" or "4xx".
cache_result: The result returned from the cache, one of [HIT, MISS, PARTIAL, REVALIDATED, STALE, BYPASSED, UNCACHEABLE].
protocol: The protocol used by the client, one of [HTTP/1.1, HTTP/2, gQUIC, HTTP/3].
tls_version: The TLS version the client is using to connect, one of [none, TLS 1.0, TLS 1.1, TLS 1.2, TLS 1.3].
ip_protocol: The IP protocol the client connected to, one of [IPv4, IPv6].
edge_cache_route_rule/total_latencies_by_proxy BETA(project)
Total latencies by proxy
DELTADISTRIBUTIONms
edgecache.googleapis.com/EdgeCacheRouteRule
A distribution of latencies calculated from when the request was received by the proxy until the proxy got ACK from client on last response byte. Includes proxy location information.
response_code: (INT64) The response code served to the user.
response_code_class: The class of the response code served to the user, such as "2xx" or "4xx".
proxy_country: The country of the proxy terminating the request.
proxy_continent: The continent of the proxy terminating the request, one of [Africa, Asia, Europe, North America, South America, Oceania, Other].
proxy_region: The region of the proxy terminating the request, one of [Asia, Europe, India, Latin America, Middle East, North America, Oceania, South Korea & China, Other].

edgecontainer

Metrics from Google Distributed Cloud. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with edgecontainer.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
edge_cluster/connection_status BETA(project)
Cluster Connection to the Core Network.
GAUGEBOOL
edgecontainer.googleapis.com/EdgeCluster
A metric with a constant 'true' value labeled by Cluster's connection status.
status: Cluster's connection status, such as CONNECTED, SURVIVABILITY or RECONNECTING.
edge_cluster/current_cluster_version BETA(project)
Current Cluster Version.
GAUGEBOOL
edgecontainer.googleapis.com/EdgeCluster
A metric with a constant 'true' value labeled by Cluster's current version.
version: The current GDCE product version of the cluster. During an upgrade, this is the old version and will be updated after the upgrade is completed.
edge_cluster/is_ha BETA(project)
If it is a High Availability cluster.
GAUGEBOOL
edgecontainer.googleapis.com/EdgeCluster
If it is a High Availability cluster.
edge_cluster/lifecycle_status BETA(project)
Cluster's lifecycle status.
GAUGEBOOL
edgecontainer.googleapis.com/EdgeCluster
A metric with a constant 'true' value labeled by Cluster's lifecycle status.
status: Cluster's lifecycle status such as provisioning or deleting.
edge_cluster/shared_deployment_policy BETA(project)
Cluster's control plane shared deployment policy.
GAUGEBOOL
edgecontainer.googleapis.com/EdgeCluster
A metric with a constant 'true' value labeled by Cluster's shared deployment policy.
policy: Defines via policy field whether it is allowed to run user workload on control plane nodes of the cluster: such as SHARED_DEPLOYMENT_POLICY_UNSPECIFIED, ALLOWED, DISALLOWED.
edge_cluster/target_cluster_version BETA(project)
Target Cluster Version.
GAUGEBOOL
edgecontainer.googleapis.com/EdgeCluster
A metric with a constant 'true' value labeled by Cluster's intended target version.
version: Intended GDCE version of the cluster.
machine/connected GA(project)
Machine Connected
GAUGEBOOL
edgecontainer.googleapis.com/Machine
Whether the machine is connected to Google.
machine/cpu/total_cores GA(project)
CPU cores
GAUGEINT641
edgecontainer.googleapis.com/Machine
Total number of CPU cores on the machine.
machine/cpu/usage_time GA(project)
CPU usage
CUMULATIVEDOUBLEs{CPU}
edgecontainer.googleapis.com/Machine
Cumulative CPU usage on all cores in seconds.
type: Either 'system' or 'workload'. Where workload is what the customer is actually running and system is everything else that Google runs to manage the machine.
machine/cpu/utilization GA(project)
CPU utilization
GAUGEDOUBLE%
edgecontainer.googleapis.com/Machine
Percent of CPU utilization in a machine (between 0-1).
type: Either 'system' or 'workload'. Where workload is what the customer is actually running and system is everything else that Google runs to manage the machine.
machine/disk/total_bytes GA(project)
Total Disk Size
GAUGEINT64By
edgecontainer.googleapis.com/Machine
Total disk bytes on the machine.
machine/disk/used_bytes GA(project)
Disk Usage
GAUGEINT64By
edgecontainer.googleapis.com/Machine
Total disk bytes used on the machine.
machine/disk/utilization GA(project)
Disk Utilization
GAUGEDOUBLE%
edgecontainer.googleapis.com/Machine
Percent of disk bytes utilization in a machine (between 0-1).
machine/gpu/total GA(project)
GPUs
GAUGEINT641
edgecontainer.googleapis.com/Machine
Number of GPUs in the machine.
machine/gpu/utilization GA(project)
GPU Utilization
GAUGEDOUBLE%
edgecontainer.googleapis.com/Machine
This is the proportion of time in which the GPU was being used.
devpath: dev path of the GPU, uniquely identifying it.
machine/memory/total_bytes GA(project)
Total Memory
GAUGEINT64By
edgecontainer.googleapis.com/Machine
Number of bytes of memory in the machine.
machine/memory/used_bytes GA(project)
Memory Usage
GAUGEINT64By
edgecontainer.googleapis.com/Machine
Memory usage in bytes.
type: Either 'system' or 'workload'. Where workload is what the customer is actually running and system is everything else that Google runs to manage the machine.
machine/memory/utilization GA(project)
Memory Utilization
GAUGEDOUBLE%
edgecontainer.googleapis.com/Machine
Percent of memory utilization in a machine (between 0-1).
type: Either 'system' or 'workload'. Where workload is what the customer is actually running and system is everything else that Google runs to manage the machine.
machine/network/connectivity GA(project)
Connectivity
GAUGEBOOL
edgecontainer.googleapis.com/Machine
Whether the primary NIC has internet connectivity.
GAUGEDOUBLEBps
edgecontainer.googleapis.com/Machine
Link speed in bytes per second. Only reports data on the primary NIC.
machine/network/received_bytes_count GA(project)
Received Bytes
CUMULATIVEDOUBLEBy
edgecontainer.googleapis.com/Machine
Total network bytes received by the interface. Only reports data on the primary NIC.
machine/network/sent_bytes_count GA(project)
Sent Bytes
CUMULATIVEDOUBLEBy
edgecontainer.googleapis.com/Machine
Total network bytes sent by the interface. Only reports data on the primary NIC.
machine/network/up GA(project)
Network Up
GAUGEBOOL
edgecontainer.googleapis.com/Machine
Whether the network interface is up and running or not.
interface: Any of the network devices (including primary and secondary cards) and port.
machine/restart_count GA(project)
Machine Restarts
CUMULATIVEINT641
edgecontainer.googleapis.com/Machine
Total number of times the machine restarted.
machine/uptime GA(project)
Machine Uptime
GAUGEINT64s
edgecontainer.googleapis.com/Machine
For how long (in seconds) the machine is up.
node/current_node_version BETA(project)
Current Node Version
GAUGEBOOL
edgecontainer.googleapis.com/Node
A metric with a constant 'true' value labeled by Node's current version.
current_node_version: The current GDCE product version of the node.
node/node_pool_name BETA(project)
Node Pool Name
GAUGEBOOL
edgecontainer.googleapis.com/Node
A metric with a constant 'true' value labeled by Node's nodepool name.
node_pool_name: The name of the node pool the node belongs to.
node/node_type BETA(project)
Node Type
GAUGEBOOL
edgecontainer.googleapis.com/Node
A metric with a constant 'true' value labeled by Node's node type.
node_type: The node type of the node, one of [ControlPlaneNode, WorkerNode].
node/target_node_version BETA(project)
Target Node Version
GAUGEBOOL
edgecontainer.googleapis.com/Node
A metric with a constant 'true' value labeled by Node's target version.
target_node_version: The target GDCE product version of the node.
router/bgp_up GA(project)
BGP Up
GAUGEBOOL
edgecontainer.googleapis.com/Rack
Whether the BGP session on the router is up and healthy.
router_id: The identifier for the router. Each rack contains up to two routers.
router/connected GA(project)
Router Connected
GAUGEBOOL
edgecontainer.googleapis.com/Rack
Whether the router is connected to Google.
router_id: The identifier for the router. Each rack contains up to two routers.

file

Metrics from Filestore. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with file.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
nfs/server/average_read_latency GA(project)
Average read latency
GAUGEDOUBLEms
filestore_instance
Average latency for all disk read operations. This metric is not populated for basic tier instances. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
file_share: The name of the File Share.
nfs/server/average_write_latency GA(project)
Average write latency
GAUGEDOUBLEms
filestore_instance
Average latency for all disk write operations. This metric is not populated for basic tier instances. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
file_share: The name of the File Share.
nfs/server/domain_reachable BETA(project)
Domain Controllers of the configured AD are reachable
GAUGEBOOL
filestore_instance
True if at least one of the ADs DCs is reachable. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
nfs/server/free_bytes GA(project)
Free bytes
GAUGEINT64By
filestore_instance
Total free bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
file_share: The name of the File Share.
nfs/server/free_bytes_percent GA(project)
Free disk space percent
GAUGEDOUBLE%
filestore_instance
Free disk space as a percentage of the total space. Values are numbers between 0.0 and 100.0. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
file_share: The name of the File Share.
nfs/server/free_raw_capacity_percent GA(project)
Free raw capacity percent
GAUGEDOUBLE%
filestore_instance
The free raw capacity as a percentage of the total space. Values are numbers between 0.0 and 100.0. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
nfs/server/instance_available BETA(project)
Instance availability using kerberos protocol
GAUGEBOOL
filestore_instance
True if e2e NFS prober using sec=krb5 is able to probe instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
nfs/server/metadata_ops_count GA(project)
Metadata operations count
DELTAINT64{operation}
filestore_instance
Count of disk metadata operations. This metric is not populated for basic tier instances. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
file_share: The name of the File Share.
nfs/server/procedure_call_count GA(project)
Procedure call count
DELTAINT641
filestore_instance
NFS server procedure call count. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
name: The name of the NFS Server procedure.
version: The version of the NFS protocol.
nfs/server/read_bytes_count GA(project)
Bytes read
DELTAINT64By
filestore_instance
Bytes read from disk. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
file_share: The name of the File Share.
nfs/server/read_milliseconds_count GA(project)
Time (in milliseconds) spent on read operations
DELTAINT64ms
filestore_instance
Count of milliseconds spent on disk read operations. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
file_share: The name of the File Share.
nfs/server/read_ops_count GA(project)
Disk read operation count
DELTAINT64{operation}
filestore_instance
Count of disk read operations. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
file_share: The name of the File Share.
nfs/server/snapshots_used_bytes GA(project)
Snapshots used bytes
GAUGEINT64By
filestore_instance
The number of bytes used by the snapshots. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
file_share: The name of the File Share.
nfs/server/used_bytes GA(project)
Used bytes
GAUGEINT64By
filestore_instance
Used bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
file_share: The name of the File Share.
nfs/server/used_bytes_percent GA(project)
Used space percent
GAUGEDOUBLE%
filestore_instance
Used space as a percentage of the total space. Values are numbers between 0.0 and 100.0. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
file_share: The name of the File Share.
nfs/server/write_bytes_count GA(project)
Bytes written
DELTAINT64By
filestore_instance
Bytes written to disk. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
file_share: The name of the File Share.
nfs/server/write_milliseconds_count GA(project)
Time (in milliseconds) spent on write operations
DELTAINT64ms
filestore_instance
Count of milliseconds spent on disk write operations. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
file_share: The name of the File Share.
nfs/server/write_ops_count GA(project)
Disk write operation count
DELTAINT64{operation}
filestore_instance
Count of disk write operations. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
file_share: The name of the File Share.

firebaseappcheck

Metrics from Firebase. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with firebaseappcheck.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
resources/verification_count BETA(project)
Firebase App Check resource verification count
DELTAINT641
firebaseappcheck.googleapis.com/Resource
Verifications performed by an integrating service for a target resource.
result: Result of the token verification; one of [ALLOW, DENY].
security: Security property of the request; one of [VALID, INVALID, MISSING_OUTDATED_CLIENT, MISSING_UNKNOWN_ORIGIN].
app_id: Firebase App ID.
services/verdict_count DEPRECATED(project)
Firebase App Check verdict count
DELTAINT641
firebaseappcheck.googleapis.com/Instance
Verdicts from performing Firebase App Check verifications.
result: Result of the token verification; one of [ALLOW, DENY].
security: Security property of the request; one of [VALID, INVALID, MISSING_OUTDATED_CLIENT, MISSING_UNKNOWN_ORIGIN].
services/verification_count BETA(project)
Firebase App Check service verification count
DELTAINT641
firebaseappcheck.googleapis.com/Service
Verifications performed by an integrating service.
result: Result of the token verification; one of [ALLOW, DENY].
security: Security property of the request; one of [VALID, INVALID, MISSING_OUTDATED_CLIENT, MISSING_UNKNOWN_ORIGIN].
app_id: Firebase App ID.

firebaseauth

Metrics from Firebase. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with firebaseauth.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
phone_auth/phone_verification_count GA(project)
Phone Verification Metrics
DELTAINT641
firebase_auth
Detailed count of phone verification. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
tier_name: Tier name for verified phone number.
country_code: Country code for verified phone number.

firebasedatabase

Metrics from Firebase. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with firebasedatabase.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
io/database_load GA(project)
Database Load
GAUGEDOUBLE1
firebase_namespace
Fraction of database load, grouped by type. Sampled every 60 seconds. After sampling, data is not visible for up to 1800 seconds.
type: The message type that the actor processed.
io/persisted_bytes_count GA(project)
Saved Bytes
DELTAINT64By
firebase_namespace
Bytes of data persisted to disk.
io/sent_responses_count GA(project)
Responses sent
DELTAINT641
firebase_namespace
Number of responses sent or broadcasted to clients.
io/utilization GA(project)
I/O utilization
GAUGEDOUBLE1
firebase_namespace
Fraction of I/O used. Sampled every 60 seconds. After sampling, data is not visible for up to 1800 seconds.
network/active_connections GA(project)
Connections
GAUGEINT641
firebase_namespace
The number of outstanding connections. Sampled every 60 seconds. After sampling, data is not visible for up to 1800 seconds.
network/api_hits_count GA(project)
API Hits
DELTAINT641
firebase_namespace
The number of hits against your database grouped by type.
operation_type: The operation type, this lines up with the profiler.
network/broadcast_load GA(project)
Broadcast Load
GAUGEDOUBLE1
firebase_namespace
Utilization of the time it takes to prep and send broadcasts to clients. Sampled every 60 seconds. After sampling, data is not visible for up to 1800 seconds.
network/disabled_for_overages GA(project)
Disabled for network
GAUGEBOOL
firebase_namespace
Indicates if the Firebase database has been disabled for network overages. Sampled every 900 seconds. After sampling, data is not visible for up to 1800 seconds.
network/https_requests_count GA(project)
HTTPS Requests Received
DELTAINT641
firebase_namespace
Number of HTTPS requests received.
reused_ssl_session: If the SSL Session was reused.
network/monthly_sent GA(project)
Bytes sent monthly
GAUGEINT64By
firebase_namespace
The total outgoing bytes sent aggregated and reset monthly. Sampled every 1800 seconds. After sampling, data is not visible for up to 5400 seconds.
network/monthly_sent_limit GA(project)
Bytes sent limit
GAUGEINT64By
firebase_namespace
The monthly network limit for the Firebase database. Sampled every 900 seconds. After sampling, data is not visible for up to 1800 seconds.
network/sent_bytes_count GA(project)
Total billed bytes
DELTAINT64By
firebase_namespace
The outgoing bandwidth used by the database, including encryption and protocol overhead.
network/sent_payload_and_protocol_bytes_count GA(project)
Payload and Protocol Bytes sent
DELTAINT64By
firebase_namespace
The outgoing bandwidth usage without encryption overhead.
network/sent_payload_bytes_count GA(project)
Payload Bytes Sent
DELTAINT64By
firebase_namespace
The outgoing bandwidth usage without encryption nor protocol.
rules/evaluation_count GA(project)
Rule evaluations
DELTAINT641
firebase_namespace
The number of Firebase Realtime Database Security Rule evaluations performed in response to write and read requests.
request_method: The request method.
ruleset_label: The ruleset label.
result: The result.
storage/disabled_for_overages GA(project)
Disabled for storage
GAUGEBOOL
firebase_namespace
Indicates if the Firebase database has been disabled for storage overages. Sampled every 86400 seconds. After sampling, data is not visible for up to 86400 seconds.
storage/limit GA(project)
Bytes stored limit
GAUGEINT64By
firebase_namespace
The storage limit for the Firebase database. Sampled every 900 seconds. After sampling, data is not visible for up to 1800 seconds.
storage/total_bytes GA(project)
Bytes stored
GAUGEINT64By
firebase_namespace
The size of the Firebase database storage. Sampled every 86400 seconds. After sampling, data is not visible for up to 86400 seconds.

firebasedataconnect

Metrics from Firebase. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with firebasedataconnect.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
connector/datasource_latencies BETA(project)
Datasource Latency
DELTADISTRIBUTIONms
firebasedataconnect.googleapis.com/Connector
The latency of the data sources queried by the pre-defined operation executed by the connector.
type: The type of operation.
response_code: The response code for the operation.
response_code_class: The response code class for the operation: 2xx, 3xx, 4xx, 5xx or 0 for none.
operation_name: The name of the operation.
client_version: The client version.
client_platform: The client platform.
datasource_id: The datasource ID.
connector/datasource_request_bytes_count BETA(project)
Datasource Request Bytes
DELTAINT64By
firebasedataconnect.googleapis.com/Connector
The number of bytes sent to the data source queried by the pre-defined operation executed by the connector.
type: The type of operation.
response_code: The response code for the operation.
response_code_class: The response code class for the operation: 2xx, 3xx, 4xx, 5xx or 0 for none.
operation_name: The name of the operation.
client_version: The client version.
client_platform: The client platform.
datasource_id: The datasource ID.
connector/datasource_response_bytes_count BETA(project)
Datasource Response Bytes
DELTAINT64By
firebasedataconnect.googleapis.com/Connector
The number of bytes returned by the data source queried by the pre-defined operation executed by the connector.
type: The type of operation.
response_code: The response code for the operation.
response_code_class: The response code class for the operation: 2xx, 3xx, 4xx, 5xx or 0 for none.
operation_name: The name of the operation.
client_version: The client version.
client_platform: The client platform.
datasource_id: The datasource ID.
connector/network/sent_bytes_count BETA(project)
Network Data Transferred Out
DELTAINT64By
firebasedataconnect.googleapis.com/Connector
The number of bytes transferred out by the connector.
type: The type of operation.
response_code: The response code for the operation.
response_code_class: The response code class for the operation: 2xx, 3xx, 4xx, 5xx or 0 for none.
operation_name: The name of the operation.
client_version: The client version.
client_platform: The client platform.
connector/operation_count BETA(project)
Operations
DELTAINT641
firebasedataconnect.googleapis.com/Connector
The number of pre-defined operations executed by the connector.
type: The type of operation.
response_code: The response code for the operation.
response_code_class: The response code class for the operation: 2xx, 3xx, 4xx, 5xx or 0 for none.
operation_name: The name of the operation.
client_version: The client version.
client_platform: The client platform.
connector/operation_latencies BETA(project)
Operation Latency
DELTADISTRIBUTIONms
firebasedataconnect.googleapis.com/Connector
The latency of the pre-defined operations executed by the connector.
type: The type of operation.
response_code: The response code for the operation.
response_code_class: The response code class for the operation: 2xx, 3xx, 4xx, 5xx or 0 for none.
operation_name: The name of the operation.
client_version: The client version.
client_platform: The client platform.
service/datasource_latencies BETA(project)
Datasource Latency
DELTADISTRIBUTIONms
firebasedataconnect.googleapis.com/Service
The latency of the data sources queried by arbitrary, admin operations executed directly on the service.
type: The type of operation.
response_code: The response code for the operation.
response_code_class: The response code class for the operation: 2xx, 3xx, 4xx, 5xx or 0 for none.
operation_name: The name of the operation.
client_version: The client version.
client_platform: The client platform.
datasource_id: The datasource ID.
service/datasource_request_bytes_count BETA(project)
Datasource Request Bytes
DELTAINT64By
firebasedataconnect.googleapis.com/Service
The number of bytes sent to the data source queried by arbitrary, admin operations executed directly on the service.
type: The type of operation.
response_code: The response code for the operation.
response_code_class: The response code class for the operation: 2xx, 3xx, 4xx, 5xx or 0 for none.
operation_name: The name of the operation.
client_version: The client version.
client_platform: The client platform.
datasource_id: The datasource ID.
service/datasource_response_bytes_count BETA(project)
Datasource Response Bytes
DELTAINT64By
firebasedataconnect.googleapis.com/Service
The number of bytes returned by the data sources queried by arbitrary, admin operations executed directly on the service.
type: The type of operation.
response_code: The response code for the operation.
response_code_class: The response code class for the operation: 2xx, 3xx, 4xx, 5xx or 0 for none.
operation_name: The name of the operation.
client_version: The client version.
client_platform: The client platform.
datasource_id: The datasource ID.
service/network/sent_bytes_count BETA(project)
Network Data Transfer Out
DELTAINT64By
firebasedataconnect.googleapis.com/Service
The number of bytes transferred out by arbitrary, admin operations executed directly on the service.
type: The type of operation.
response_code: The response code for the operation.
response_code_class: The response code class for the operation: 2xx, 3xx, 4xx, 5xx or 0 for none.
operation_name: The name of the operation.
client_version: The client version.
client_platform: The client platform.
service/operation_count BETA(project)
Operations
DELTAINT641
firebasedataconnect.googleapis.com/Service
The number of arbitrary, admin operations executed directly on the service.
type: The type of operation.
response_code: The response code for the operation.
response_code_class: The response code class for the operation: 2xx, 3xx, 4xx, 5xx or 0 for none.
operation_name: The name of the operation.
client_version: The client version.
client_platform: The client platform.
service/operation_latencies BETA(project)
Operation Latency
DELTADISTRIBUTIONms
firebasedataconnect.googleapis.com/Service
The latency of arbitrary, admin operations executed directly on the service.
type: The type of operation.
response_code: The response code for the operation.
response_code_class: The response code class for the operation: 2xx, 3xx, 4xx, 5xx or 0 for none.
operation_name: The name of the operation.
client_version: The client version.
client_platform: The client platform.

firebaseextensions

Metrics from Firebase. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with firebaseextensions.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
extension/version/active_instances BETA(project)
Active instances
GAUGEINT641
firebaseextensions.googleapis.com/ExtensionVersion
The number of active instances of the published extension version. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.

firebasehosting

Metrics from Firebase. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with firebasehosting.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
network/monthly_sent GA(project)
Bytes sent monthly
GAUGEINT64By
firebase_domain
The total outgoing bytes sent, aggregated and reset monthly. Sampled every 28800 seconds. After sampling, data is not visible for up to 4200 seconds.
network/monthly_sent_limit GA(project)
Bytes sent limit
GAUGEINT64By
firebase_domain
The monthly network limit for Firebase Hosting. Sampled every 28800 seconds. After sampling, data is not visible for up to 4200 seconds.
network/sent_bytes_count GA(project)
Bytes sent
DELTAINT64By
firebase_domain
The outgoing bandwidth usage for Firebase Hosting.
storage/limit GA(project)
Bytes stored limit
GAUGEINT64By
firebase_domain
The storage limit for Firebase Hosting. Sampled every 28800 seconds.
storage/total_bytes GA(project)
Bytes stored
GAUGEINT64By
firebase_domain
The size of the Firebase Hosting storage. Sampled every 28800 seconds.

firebasestorage

Metrics from Cloud Storage for Firebase. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with firebasestorage.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
rules/evaluation_count BETA(project)
Rule evaluations
DELTAINT641
gcs_bucket
The number of Cloud Storage for Firebase Security Rules evaluations performed in response to write or read requests. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
request_method: The method/operation type of the request: CREATE, UPDATE, or DELETE; or GET, LIST.
ruleset_label: The ruleset label indicating whether it's the current production release.
result: The evaluation result: ALLOW, DENY, or ERROR.

firestore

Metrics from Firestore. Launch stages of these metrics: ALPHA BETA GA

The "metric type" strings in this table must be prefixed with firestore.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
api/request_count BETA(project)
Requests
DELTAINT641
datastore_request
Count of Firestore API calls. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
api_method: The API method called (for example: BeginTransaction or Commit).
response_code: Operation response code string, derived as a string representation of a HTTP status code (e.g. success, not_found, unavailable).
api/request_latencies BETA(project)
Request latencies per database
DELTADISTRIBUTIONs
firestore.googleapis.com/Database
Non-streaming Firestore v1, Datastore v1 and Datastore v3 request latencies from the frontend. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
service: The API service called, one of ["firestore.googleapis.com", "datastore.googleapis.com", "datastore-private.googleapis.com"].
api_method: The API method called, for example, "BeginTransaction" or "Commit".
response_code: Operation response code string, derived as a string representation of a HTTP status code, for example, "OK", "DEADLINE_EXCEEDED", "ABORTED", "PERMISSION_DENIED", "INVALID_ARGUMENT".
composite_indexes_per_database GA(project)
Composite Indexes Per Database
GAUGEINT641
firestore.googleapis.com/Database
Current number of composite indexes per database. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
document/delete_count GA(project)
Document Deletes
DELTAINT641
firestore_instance
The number of successful document deletes. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
module: The service/module name.
version: The version name.
document/delete_ops_count BETA(project)
Document deletes
DELTAINT641
firestore.googleapis.com/Database
The number of successful document deletes. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
document/read_count GA(project)
Document Reads
DELTAINT641
firestore_instance
The number of successful document reads from queries or lookups. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
module: The service/module name.
version: The version name.
type: The type of the read (e.g. 'LOOKUP', 'QUERY').
document/read_ops_count BETA(project)
Document reads
DELTAINT641
firestore.googleapis.com/Database
The number of successful document reads from queries or lookups. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
type: The type of the read, one of [LOOKUP, QUERY].
document/ttl_deletion_count GA(project)
TTL deletion count
DELTAINT641
firestore.googleapis.com/Database
firestore_instance
Total count of documents deleted by TTL services. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
document/ttl_expiration_to_deletion_delays GA(project)
TTL expiration to deletion delays
DELTADISTRIBUTIONs
firestore.googleapis.com/Database
firestore_instance
Time elapsed between when a document with a TTL expired, and when it was actually deleted. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
document/write_count GA(project)
Document Writes
DELTAINT641
firestore_instance
The number of successful document writes. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
module: The service/module name.
version: The version name.
op: The operation name for the write (e.g. 'CREATE', 'UPDATE').
document/write_ops_count BETA(project)
Document writes
DELTAINT641
firestore.googleapis.com/Database
The number of successful document writes. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
op: The operation name for the write, one of [CREATE, UPDATE].
field_configurations_per_database ALPHA(project)
Field Configurations Per Database
GAUGEINT641
firestore.googleapis.com/Database
Current number of field configurations per database. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
network/active_connections BETA(project)
Connected Clients
GAUGEINT641
firestore.googleapis.com/Database
firestore_instance
The number of active connections. Each mobile client will have one connection. Each listener in admin SDK will be one connection. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
module: The service/module name.
version: The version name.
network/snapshot_listeners BETA(project)
Snapshot Listeners
GAUGEINT641
firestore.googleapis.com/Database
firestore_instance
The number of snapshot listeners currently registered across all connected clients. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
module: The service/module name.
version: The version name.
query_stat/per_query/result_counts BETA(project)
Number of results yielded per query
DELTADISTRIBUTION{result}
firestore.googleapis.com/Database
Distribution of number of results yielded per query. Real-time queries are excluded. Note. This metric is for performance observability. It is not relevant to billing calculations. To understand how read operations contribute to your bill, use "firestore.googleapis.com/document/read_ops_count". Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
service: The API service called, one of ["firestore.googleapis.com", "datastore.googleapis.com"].
method: The API method called, for example, "RunQuery" or "RunAggregationQuery".
query_stat/per_query/scanned_documents_counts BETA(project)
Number of documents scanned per query
DELTADISTRIBUTION{document}
firestore.googleapis.com/Database
Distribution of number of documents scanned per query. Real-time queries are excluded. Note. This metric is for performance observability. It is not relevant to billing calculations. To understand how read operations contribute to your bill, use "firestore.googleapis.com/document/read_ops_count". Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
service: The API service called, one of ["firestore.googleapis.com", "datastore.googleapis.com"].
method: The API method called, for example, "RunQuery" or "RunAggregationQuery".
query_stat/per_query/scanned_index_entries_counts BETA(project)
Number of index entries scanned per query
DELTADISTRIBUTION{index entry}
firestore.googleapis.com/Database
Distribution of number of scanned index entries per query. Real-time queries are excluded. Note. This metric is for performance observability. It is not relevant to billing calculations. To understand how read operations contribute to your bill, use "firestore.googleapis.com/document/read_ops_count". Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
service: The API service called, one of ["firestore.googleapis.com", "datastore.googleapis.com"].
method: The API method called, for example, "RunQuery" or "RunAggregationQuery".
quota/composite_indexes_per_database/exceeded GA(project)
Composite Indexes Per Database quota exceeded error
DELTAINT641
firestore.googleapis.com/Database
Number of attempts to exceed the limit on quota metric firestore.googleapis.com/composite_indexes_per_database. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/composite_indexes_per_database/limit GA(project)
Composite Indexes Per Database quota limit
GAUGEINT641
firestore.googleapis.com/Database
Current limit on quota metric firestore.googleapis.com/composite_indexes_per_database. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/composite_indexes_per_database/usage GA(project)
Composite Indexes Per Database quota usage
GAUGEINT641
firestore.googleapis.com/Database
Current usage on quota metric firestore.googleapis.com/composite_indexes_per_database. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
rules/evaluation_count BETA(project)
Rule Evaluations
DELTAINT641
firestore.googleapis.com/Database
firestore_instance
The number of Cloud Firestore Security Rule evaluations performed in response to write (create, update, delete) or read (get, list) requests. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
request_method: The permission type of the request.
ruleset_label: The ruleset label indicating whether it is the current production release.
version: The version name.
module: The service/module name.
result: The evaluation result: ALLOW, DENY, or ERROR.

firewallinsights

Metrics from Firewall Insights. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with firewallinsights.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
subnet/all/firewall_hit_count GA(project)
Firewall All Types Hit Counts
DELTAINT641
gce_subnetwork
The hit count of various firewalls for network traffic. Please note that this metric applies only to firewalls for which Firewall Logging has been turned on. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
type: Type of firewall rule, one of [VPC_FIREWALL, NETWORK_FIREWALL_POLICY, HIERARCHICAL_FIREWALL_POLICY ,UNSPECIFIED].
firewall_name: For VPC firewall rules, this is the name of the rule. For hierarchical firewall policies, this is the policy numeric ID. For network firewall policies, this is the name of the policy.
firewall_location: For regional firewall policies the firewall region, otherwisecontains a fixed value "global".
priority: (INT64) Priority of the VPC firewall rule or of the policy rule.
subnet/all/firewall_last_used_timestamp GA(project)
Firewall Last Used Timestamp
GAUGEINT641
gce_subnetwork
The epoch timestamp (in seconds) of the last time a firewall was used for network traffic. Please note that this metric applies only to firewalls for which Firewall Logging has been turned on. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
type: Type of firewall rule, one of [VPC_FIREWALL, NETWORK_FIREWALL_POLICY, HIERARCHICAL_FIREWALL_POLICY ,UNSPECIFIED].
firewall_name: For VPC firewall rules, this is the name of the rule. For hierarchical firewall policies, this is the policy numeric ID. For network firewall policies, this is the name of the policy.
firewall_location: For regional firewall policies the firewall region, for global firewall policies contains a fixed value.
priority: (INT64) Priority of the VPC firewall rule or of the policy rule.
subnet/firewall_hit_count GA(project)
Subnet Firewall Hit Counts
DELTAINT641
gce_subnetwork
The hit count of various firewalls for the traffic corresponding to a subnet. Please note that this metric applies only to firewalls for which Firewall Logging has been turned on. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
network_name: The name of the network that this subnet belongs to.
firewall_name: The name of firewall to which a hit is attributed.
subnet/firewall_last_used_timestamp GA(project)
Subnet Firewall Last Used Timestamp
GAUGEINT641
gce_subnetwork
The epoch timestamp (in seconds) of the last time a firewall was used for the traffic corresponding to a subnet. Please note that this metric applies only to firewalls for which Firewall Logging has been turned on. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
network_name: The name of the network that this subnet belongs to.
firewall_name: The name of firewall to which a hit is attributed.
vm/all/firewall_hit_count GA(project)
Firewall All Types Hit Counts
DELTAINT641
gce_instance
The hit count of various firewalls for network traffic. Please note that this metric applies only to firewalls for which Firewall Logging has been turned on. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
type: Type of firewall rule, one of [VPC_FIREWALL, NETWORK_FIREWALL_POLICY, HIERARCHICAL_FIREWALL_POLICY ,UNSPECIFIED].
firewall_name: For VPC firewall rules, this is the name of the rule. For hierarchical firewall policies, this is the policy numeric ID. For network firewall policies, this is the name of the policy.
firewall_location: For regional firewall policies the firewall region, otherwisecontains a fixed value "global".
interface_name: The vm network interface which the rule was triggered for, such as "nic0".
priority: (INT64) Priority of the VPC firewall rule or of the policy rule.
vm/all/firewall_last_used_timestamp GA(project)
Firewall Last Used Timestamp
GAUGEINT641
gce_instance
The epoch timestamp (in seconds) of the last time a firewall was used for network traffic. Please note that this metric applies only to firewalls for which Firewall Logging has been turned on. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
type: Type of firewall rule, one of [VPC_FIREWALL, NETWORK_FIREWALL_POLICY, HIERARCHICAL_FIREWALL_POLICY ,UNSPECIFIED].
firewall_name: For VPC firewall rules, this is the name of the rule. For hierarchical firewall policies, this is the policy numeric ID. For network firewall policies, this is the name of the policy.
firewall_location: For regional firewall policies the firewall region, for global firewall policies contains a fixed value.
interface_name: The vm network interface which the rule was triggered for, such as "nic0".
priority: (INT64) Priority of the VPC firewall rule or of the policy rule.
vm/firewall_hit_count GA(project)
VM Firewall Hit Counts
DELTAINT641
gce_instance
The hit count of various firewalls for the traffic corresponding to a VM. Please note that this metric applies only to firewalls for which Firewall Logging has been turned on. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
firewall_project_id: The project id that this firewall belongs to. In the shared VPC case, the host project might be different from the instance project that a VM belongs to.
firewall_name: The name of firewall to which a hit is attributed.
vm/firewall_last_used_timestamp GA(project)
VM Firewall Last Used Timestamp
GAUGEINT641
gce_instance
The epoch timestamp (in seconds) of the last time a firewall was used for the traffic corresponding to a VM. Please note that this metric applies only to firewalls for which Firewall Logging has been turned on. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
firewall_project_id: The project id that this firewall belongs to. In the shared VPC case, the host project might be different from the instance project that a VM belongs to.
firewall_name: The name of firewall to which a hit is attributed.

fleetengine

Metrics from Fleet Engine. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with fleetengine.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
task/billable_shipment_task_count GA(project)
Billable shipment task count
DELTAINT641
fleetengine.googleapis.com/DeliveryFleet
The number of billable shipment tasks completed.
country_code: The task's country code.
trip/billable_trip_count GA(project)
Billable trip count
DELTAINT641
fleetengine.googleapis.com/Fleet
The number of billable trips reported.
country_code: The trip's country code.

gkebackup

Metrics from Backup for GKE. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with gkebackup.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
backup_completion_times GA(project)
Backup completion time
DELTADISTRIBUTIONs
gkebackup.googleapis.com/BackupPlan
Distribution of the backup completion time.
state: State of the backup, one of [SUCCEEDED, FAILED].
backup_created_count GA(project)
Backup created count
DELTAINT641
gkebackup.googleapis.com/BackupPlan
Count of the backups created under a backupPlan.
scheduled: Whether the backup was created by schedule, one of [true, false].
backup_deleted_count GA(project)
Backup deleted count
DELTAINT641
gkebackup.googleapis.com/BackupPlan
Count of the backups deleted under a backupPlan.
scheduled: Whether the backup was deleted by schedule, one of [true, false].
restore_created_count GA(project)
Restore created count
DELTAINT641
gkebackup.googleapis.com/RestorePlan
Count of the restores created under a restorePlan.

healthcare

Metrics from Cloud Healthcare API. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with healthcare.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
pipeline_job/backlog_elements BETA(project)
Backlog Elements
GAUGEINT641
healthcare_pipeline_job
The number of unprocessed input elements buffered on a streaming pipeline. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
pipeline_job/processed_element_count BETA(project)
Processed Element Count
DELTAINT641
healthcare_pipeline_job
The number of input elements processed by a pipeline, grouped by status. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
response_code: (INT64) HTTP status code for the processing request.

iam

Metrics from Identity and Access Management. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with iam.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
service_account/authn_events_count GA(project)
Service account authentication events
DELTAINT641
iam_service_account
Number of authentication events for a service account. Sampled every 600 seconds. After sampling, data is not visible for up to 10800 seconds.
service_account/key/authn_events_count GA(project)
Service account key authentication events
DELTAINT641
iam_service_account
Number of authentication events for a service account key. Sampled every 600 seconds. After sampling, data is not visible for up to 10800 seconds.
key_id: The key ID associated with the authentication event.
workforce_identity_federation/count BETA(project)
Workforce identity federation count
DELTAINT641
iam.googleapis.com/WorkforcePoolProvider
Count of token exchanges using workforce identity federation.
result: If the request succeeds, the value will be 'success'. Otherwise, the value will match one of the possible OAuth 2.0 error types, for instance, 'invalid_client'.
workload_identity_federation/count BETA(project)
Workload identity federation count
DELTAINT641
iam.googleapis.com/WorkloadIdentityPoolProvider
Count of token exchanges using workload identity federation.
result: If the request succeeds, the value will be 'success'. Otherwise, the value will match one of the possible OAuth 2.0 error types, for instance, 'invalid_client'.
workload_identity_federation/key_usage_count BETA(project)
Workload identity federation key usage count
DELTAINT641
iam.googleapis.com/WorkloadIdentityPoolProvider
Count of times a key is used as part of workload identity federation.
key: The identifier of a public key used during a workload identity federation.
use: What the key was used for, one of ['verify' - verify a signature]. Additional values might be added in the future.

identitytoolkit

Metrics from Identity Platform. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with identitytoolkit.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
mfa/totp/enrollment_attempt_count BETA(project)
MFA TOTP enrollment attempts
DELTAINT641
identitytoolkit_tenant
Count of MFA TOTP enrollment attempts.
provider: The identity provider for the first-factor, e.g. password, Google, Facebook, etc.
response_code: (INT64) The HTTP status code.
mfa/totp/sign_in_challenge_attempt_count BETA(project)
MFA TOTP sign in challenge attempts
DELTAINT641
identitytoolkit_tenant
Count of MFA TOTP sign in challenge attempts.
provider: The identity provider for the first-factor, e.g. password, Google, Facebook, etc.
response_code: (INT64) The HTTP status code.
password_policy/weak_password_sign_in_count BETA(project)
Weak password sign-ins
DELTAINT641
identitytoolkit_tenant
Count of successful sign-ins with weak password.
client_type: Client platform, one of [web, android, ios].
quota/free_daily_signin/exceeded BETA(project)
Free Daily Sign-in Quota Exceeded
DELTAINT641
identitytoolkit_project
The number of sign-ins that have exceeded the free daily new sign-in quota.
pricing_tier: The pricing tier of the identity provider used to sign in.
recaptcha/risk_scores BETA(project)
reCAPTCHA bot detection risk score distribution
DELTADISTRIBUTION1
identitytoolkit_tenant
Distribution of reCAPTCHA bot scores. Scores range from 0 (high risk) to 1 (low risk).
provider: The identity provider, one of [passwordProvider].
api_name: The reCAPTCHA supported API name, one of [signUpPassword, signInWithPassword, getOobCode].
client_type: Client platform, one of [web, android, ios].
recaptcha/token_count BETA(project)
reCAPTCHA token count
DELTAINT641
identitytoolkit_tenant
Count of reCAPTCHA tokens in different states.
provider: The identity provider, one of [passwordProvider].
api_name: The reCAPTCHA supported API name, one of [signUp, signInWithPassword, getOobCode].
client_type: Client platform, one of [web, android, ios].
token_state: The state of a token, one of [expired, duplicate, missing, invalid, valid].
recaptcha/verdict_count BETA(project)
reCAPTCHA verdicts count
DELTAINT641
identitytoolkit_tenant
Count of evaluation results based on the reCAPTCHA configuration.
provider: The identity provider, one of [passwordProvider].
api_name: The reCAPTCHA supported API name, one of [signUp, signInWithPassword, getOobCode].
client_type: Client platform, one of [web, android, ios].
verdict_state: The state of a verdict, one of [passed, failed_in_audit, failed_in_enforce].
usage/blocked_sms_count BETA(project)
Blocked SMS
DELTAINT641
identitytoolkit_project
The number of SMS-based verification codes that were blocked from being sent.
pricing_tier: The pricing tier of the country where the SMS is sent.
country_calling_code: The country calling code of the phone number where the SMS is sent.
region_code: The two-letter region code of the phone number where the SMS is sent.
sms_purpose: The purpose of the SMS-based verification code (i.e. phone auth, MFA).
usage/daily_new_signin_count BETA(project)
Daily New Sign-ins
DELTAINT641
identitytoolkit_project
The number of new daily active users. A sign-in or token refresh is counted as a new daily active user if the user has not previously signed in that day.
pricing_tier: The pricing tier of the identity provider used to sign in.
is_anon: Whether or not the sign-in is an anonymous auth sign-in.
usage/monthly_new_signin_count BETA(project)
Monthly New Sign-ins
DELTAINT641
identitytoolkit_project
The number of new monthly active users. A sign-in or token refresh is counted as a new monthly active user if the user has not previously signed in that month.
pricing_tier: The pricing tier of the identity provider used to sign in.
is_anon: Whether or not the sign-in is an anonymous auth sign-in.
usage/sent_sms_count BETA(project)
Sent SMS
DELTAINT641
identitytoolkit_project
The number of SMS-based verification codes sent.
pricing_tier: The pricing tier of the country where the SMS is sent.
country_calling_code: The country calling code of the phone number where the SMS is sent.
region_code: The two-letter region code of the phone number where the SMS is sent.
sms_purpose: The purpose of the SMS-based verification code (i.e. phone auth, MFA).
usage/verification_sms_count BETA(project)
Verified SMS
DELTAINT641
identitytoolkit_project
The number of successful SMS-based verifications.
pricing_tier: The pricing tier of the country where the SMS is sent.
country_calling_code: The country calling code of the phone number where the SMS is sent.
region_code: The two-letter region code of the phone number where the SMS is sent.
sms_purpose: The purpose of the SMS-based verification code (i.e. phone auth, MFA).

ids

Metrics from Cloud IDS. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with ids.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
received_bytes_count BETA(project)
Received bytes
DELTAINT64By
ids.googleapis.com/Endpoint
Total IDS Endpoint received bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
received_packets_count BETA(project)
Received packets
DELTAINT641
ids.googleapis.com/Endpoint
Total IDS Endpoint received packets. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.

integrations

Application Integration. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with integrations.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
integration/execution_count BETA(project)
Integration execution count
DELTAINT641
integrations.googleapis.com/IntegrationVersion
Count of integration executions since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 86400 seconds.
status: Integration execution status, one of [SUCCEEDED, FAILED, CANCELLED, RETRY_ON_HOLD].
trigger_name: Type of the trigger used for Integration execution, for example, "API trigger" or "Cloud Pub/Sub trigger".
trigger_id: Trigger Id which triggered the execution of Integration.
error_enum: Canonical code of the last error occurred during Integration execution, for example, "PERMISSION_DENIED" or "INVALID_ARGUMENT".
is_retry: (BOOL) Indicates whether the integration execution is a retry or a first attempt, one of [true, false].
integration/execution_latencies BETA(project)
Integration execution latency
DELTADISTRIBUTIONms
integrations.googleapis.com/IntegrationVersion
A distribution of time taken by the integrations to complete execution. Sampled every 60 seconds. After sampling, data is not visible for up to 86400 seconds.
status: Integration execution status, one of [SUCCEEDED, FAILED, CANCELLED, RETRY_ON_HOLD].
trigger_name: Type of the trigger used for Integration execution, for example, "API trigger" or "Cloud Pub/Sub trigger".
trigger_id: Trigger Id which triggered the execution of Integration.
error_enum: Canonical code of the last error occurred during Integration execution, for example, "PERMISSION_DENIED" or "INVALID_ARGUMENT".
is_retry: (BOOL) Indicates whether the integration execution is a retry or a first attempt, one of [true, false].
processed_bytes_count BETA(project)
Processed bytes count
DELTAINT64By
integrations.googleapis.com/IntegrationVersion
Size of data consumed by the integration executions since the last sample. It is computed by taking the size of input and output parameters to the integration, along with the request and response payload size for Rest and Connector tasks. Sampled every 60 seconds. After sampling, data is not visible for up to 86400 seconds.
step_type: Indicates whether the data is processed by parameters of the integration, or task request and response payload, one of [Trigger, Task].
step_name: Type of the task used for processing request and response payload, or type of the trigger used for processing parameters of the integration.
step_id: Task number used for processing request and response payload, or Trigger Id used for processing parameters of the integration.
step/execution_count BETA(project)
Step execution count
DELTAINT641
integrations.googleapis.com/IntegrationVersion
Count of step (task or trigger) executions since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 86400 seconds.
status: Step execution status, for example "SUCCEEDED" or "FAILED".
step_type: Type of the step executed, one of [Trigger, Task].
step_name: Type of the trigger or task executed, for example, "API Trigger" or "Data Mapping task".
step_id: Trigger Id or task number depending upon which type of step is executed.
error_enum: Canonical code of the error occurred during the step execution, for example, "PERMISSION_DENIED" or "INVALID_ARGUMENT".
is_retry: (BOOL) Indicates whether the step execution is a retry or a first attempt, one of [true, false].
is_step_external: (BOOL) Indicates whether the task executed is internal or external, one of ["true" - external tasks such as Rest or Connector task.; "false" - internal tasks such as Data Mapper or Inline Scripting task].
step/execution_latencies BETA(project)
Step execution latency
DELTADISTRIBUTIONms
integrations.googleapis.com/IntegrationVersion
A distribution of time taken by the steps (task) to complete execution. Sampled every 60 seconds. After sampling, data is not visible for up to 86400 seconds.
status: Step execution status, for example "SUCCEEDED" or "FAILED".
step_name: Type of the trigger or task executed, for example, "API Trigger" or "Data Mapping task".
step_id: Trigger Id or task number depending upon which type of step is executed.
error_enum: Canonical code of the error occurred during the step execution, for example, "PERMISSION_DENIED" or "INVALID_ARGUMENT".
is_retry: (BOOL) Indicates whether the step execution is a retry or a first attempt, one of [true, false].
is_step_external: (BOOL) Indicates whether the task executed is internal or external, one of ["true" - external tasks such as Rest or Connector task.; "false" - internal tasks such as Data Mapper or Inline Scripting task].

interconnect

Metrics from Cloud Interconnect. For Dedicated Interconnect, Monitoring and Google Cloud collect measurements for the network/interconnect and network/attachment metric types. For Partner Interconnect, Monitoring and Google Cloud collect measurements for the network/attachment metric type only. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with interconnect.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
network/attachment/capacity GA(project)
Network Capacity
GAUGEINT64By/s
interconnect_attachment
Network Capacity of the Attachment. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network/attachment/egress_dropped_packets_count BETA(project)
Egress dropped packets
DELTAINT64{packets}
interconnect_attachment
Number of outbound packets dropped since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
drop_reason: Reason packet was dropped.
l3_protocol: Layer 3 protocol.
network/attachment/ingress_dropped_packets_count BETA(project)
Ingress dropped packets
DELTAINT64{packets}
interconnect_attachment
Number of inbound packets dropped since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
drop_reason: Reason packet was dropped.
l3_protocol: Layer 3 protocol.
network/attachment/received_bytes_count GA(project)
Ingress Bytes
DELTAINT64By
interconnect_attachment
Number of inbound bytes received. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network/attachment/received_bytes_count_by_l3_protocol BETA(project)
Ingress bytes by L3 protocol
DELTAINT64By
interconnect_attachment
Number of inbound bytes received by L3 Protocol. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
l3_protocol: Layer 3 protocol.
network/attachment/received_packets_count GA(project)
Ingress Packets
DELTAINT64{packets}
interconnect_attachment
Number of inbound packets received. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network/attachment/received_packets_count_by_l3_protocol BETA(project)
Ingress packets by L3 protocol
DELTAINT64{packets}
interconnect_attachment
Number of inbound packets received by L3 Protocol. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
l3_protocol: Layer 3 protocol.
network/attachment/sent_bytes_count GA(project)
Egress Bytes
DELTAINT64By
interconnect_attachment
Number of outbound bytes sent. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network/attachment/sent_bytes_count_by_l3_protocol BETA(project)
Egress bytes by L3 protocol
DELTAINT64By
interconnect_attachment
Number of outbound bytes sent by L3 Protocol. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
l3_protocol: Layer 3 protocol.
network/attachment/sent_packets_count GA(project)
Egress Packets
DELTAINT64{packets}
interconnect_attachment
Number of outbound packets sent. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network/attachment/sent_packets_count_by_l3_protocol BETA(project)
Egress packets by L3 protocol
DELTAINT64{packets}
interconnect_attachment
Number of outbound packets sent by L3 Protocol. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
l3_protocol: Layer 3 protocol.
network/interconnect/capacity GA(project)
Network Capacity
GAUGEINT64By/s
interconnect
Active capacity of the interconnect. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network/interconnect/dropped_packets_count GA(project)
Dropped Packets
DELTADOUBLE{packets}
interconnect
Number of outbound packets dropped due to link congestion. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network/interconnect/link/macsec/operational GA(project)
Link MACsec Operational
GAUGEBOOL
interconnect
Operational status of MACsec (if enabled) on the physical link. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
link_id: Identifier for the individual physical circuit.
network/interconnect/link/macsec/receive_dropped_packets_count GA(project)
Link MACsec Ingress Dropped Packets
DELTADOUBLE{packets}
interconnect
The number of MACsec dropped ingress packets on the physical link. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
link_id: Identifier for the individual physical circuit.
network/interconnect/link/macsec/receive_errors_count GA(project)
Link MACsec Ingress Errors
DELTADOUBLE{errors}
interconnect
The number of MACSEC ingress errors on the physical link. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
link_id: Identifier for the individual physical circuit.
network/interconnect/link/macsec/received_control_packets_count GA(project)
Link MACsec Ingress Control Packets
DELTADOUBLE{packets}
interconnect
The number of MACsec ingress control packets on the physical link. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
link_id: Identifier for the individual physical circuit.
network/interconnect/link/macsec/received_data_packets_count GA(project)
Link MACsec Ingress Data Packets
DELTADOUBLE{packets}
interconnect
The number of MACsec ingress data packets on the physical link. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
link_id: Identifier for the individual physical circuit.
network/interconnect/link/macsec/send_dropped_packets_count GA(project)
Link MACsec Egress Dropped Packets
DELTADOUBLE{packets}
interconnect
The number of MACsec dropped egress packets on the physical link. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
link_id: Identifier for the individual physical circuit.
network/interconnect/link/macsec/send_errors_count GA(project)
Link MACsec Egress Errors
DELTADOUBLE{errors}
interconnect
The number of MACsec egress errors on the physical link. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
link_id: Identifier for the individual physical circuit.
network/interconnect/link/macsec/sent_control_packets_count GA(project)
Link MACsec Egress Control Packets
DELTADOUBLE{packets}
interconnect
The number of MACsec egress control packets on the physical link. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
link_id: Identifier for the individual physical circuit.
network/interconnect/link/macsec/sent_data_packets_count GA(project)
Link MACsec Egress Data Packets
DELTADOUBLE{packets}
interconnect
The number of MACsec egress data packets on the physical link. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
link_id: Identifier for the individual physical circuit.
network/interconnect/link/operational GA(project)
Circuit Operational Status
GAUGEBOOL
interconnect
Whether the operational status of the circuit is 'up'. This metric is specific to individual physical circuits. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
link_id: Identifier for the individual physical circuit.
network/interconnect/link/rx_power GA(project)
Circuit Receive Power
GAUGEDOUBLE{dBm}
interconnect
Light level received over physical circuit. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
link_id: Identifier for the individual physical circuit.
laser_index: (INT64) Index of the laser channel on an individual circuit.
network/interconnect/link/tx_power GA(project)
Circuit Transmit Power
GAUGEDOUBLE{dBm}
interconnect
Light level transmitted over physical circuit. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
link_id: Identifier for the individual physical circuit.
laser_index: (INT64) Index of the laser channel on an individual circuit.
network/interconnect/operational GA(project)
Operational Status
GAUGEBOOL
interconnect
Whether the operational status of the interconnect is 'up'. This metric is specific to the aggregate LACP bundle. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network/interconnect/receive_errors_count GA(project)
Ingress Errors
DELTADOUBLE{errors}
interconnect
Number of errors encountered while receiving packets. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network/interconnect/received_bytes_count GA(project)
Ingress Bytes
DELTADOUBLEBy
interconnect
Number of inbound bytes received. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network/interconnect/received_unicast_packets_count GA(project)
Ingress Unicast Packets
DELTADOUBLE{packets}
interconnect
Number of inbound unicast packets received. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network/interconnect/send_errors_count GA(project)
Egress Errors
DELTADOUBLE{errors}
interconnect
Number of errors encountered while sending packets. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network/interconnect/sent_bytes_count GA(project)
Egress Bytes
DELTADOUBLEBy
interconnect
Number of outbound bytes sent. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network/interconnect/sent_unicast_packets_count GA(project)
Egress Unicast Packets
DELTADOUBLE{packets}
interconnect
Number of outbound unicast packets sent. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.

livestream

Metrics for Live Stream API. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with livestream.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
channel/dropped_packets_count BETA(project)
Dropped packets count
DELTAINT641
livestream.googleapis.com/Channel
Count of dropped packets since the last sample.
input_type: The type of the input, one of [RTMP_PUSH, SRT_PUSH].
input_attachment: Key of the attached input resource.
channel/published_bytes_count BETA(project)
Published bytes count
DELTAINT64By
livestream.googleapis.com/Channel
Count of published bytes for media segments since the last sample.
mux_stream: Key of the output mux stream.
channel/received_bytes_count BETA(project)
Received bytes count
DELTAINT64By
livestream.googleapis.com/Channel
Count of received bytes since the last sample.
input_type: The type of the input, one of [RTMP_PUSH, SRT_PUSH].
input_attachment: Key of the attached input resource.
channel/received_packets_count BETA(project)
Received packets count
DELTAINT641
livestream.googleapis.com/Channel
Count of received packets since the last sample.
input_type: The type of the input, one of [RTMP_PUSH, SRT_PUSH].
input_attachment: Key of the attached input resource.
channel/streaming_state BETA(project)
Streaming state
GAUGEINT641
livestream.googleapis.com/Channel
The streaming state of the channel at a specific time point. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
streaming_state: Channel streaming state, one of [STREAMING, AWAITING_INPUT, STREAMING_ERROR, STREAMING_NO_INPUT, STOPPED, STARTING, STOPPING].

loadbalancing

Metrics for Cloud Load Balancing. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with loadbalancing.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
https/backend_latencies GA(project)
Backend latency
DELTADISTRIBUTIONms
https_lb_rule
A distribution of the latency calculated from when the request was sent by the proxy to the backend until the proxy received from the backend the last byte of response. For Service Extensions, this value represents the sum of latencies of each ProcessingRequest/ProcessingResponse pair between the load balancer and the extension backend. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
protocol: Protocol used by the client, one of [HTTP/1.0, HTTP/1.1, HTTP/2.0, SPDY, UNKNOWN].
response_code: (INT64) HTTP response code.
load_balancing_scheme: Load balancing scheme: EXTERNAL or EXTERNAL_MANAGED.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
proxy_continent: Continent of the HTTP proxy that handled the hit: 'America', 'Europe' or 'Asia'.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED' or 'UNKNOWN'.
client_country: Country of the client that issued the HTTP request (for example, 'United States', 'Germany').
https/backend_request_bytes_count GA(project)
Backend Request Bytes
DELTAINT64By
https_lb_rule
The number of bytes sent as requests from external HTTP(S) load balancer to backends. For Service Extensions, this value represents the total number of bytes sent from the load balancer to the extension backend. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
response_code: (INT64) HTTP backend response code.
load_balancing_scheme: Load balancing scheme: EXTERNAL or EXTERNAL_MANAGED.
response_code_class: (INT64) HTTP backend response code class: 200, 300, 400, 500 or 0 for none.
proxy_continent: Continent of the HTTP proxy that handled the request: 'America', 'Europe' or 'Asia'.
cache_result: Cache result for serving the HTTP request by backends (cache hits are abstracted as backend requests): 'HIT', 'MISS', 'DISABLED' or 'UNKNOWN'.
https/backend_request_count GA(project)
Backend Request Count
DELTAINT641
https_lb_rule
The number of requests served by backends of external HTTP(S) load balancer. For Service Extensions, this value represents the total number of gRPC streams between the load balancer to the extension backend. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
response_code: (INT64) HTTP backend response code.
load_balancing_scheme: Load balancing scheme: EXTERNAL or EXTERNAL_MANAGED.
response_code_class: (INT64) HTTP backend response code class: 200, 300, 400, 500 or 0 for none.
proxy_continent: Continent of the HTTP proxy that handled the request: 'America', 'Europe' or 'Asia'.
cache_result: Cache result for serving the HTTP request by backends (cache hits are abstracted as backend requests): 'HIT', 'MISS', 'DISABLED' or 'UNKNOWN'.
https/backend_response_bytes_count GA(project)
Backend Response Bytes
DELTAINT64By
https_lb_rule
The number of bytes sent as responses from backends (or cache) to external HTTP(S) load balancer. For Service Extensions, this value represents the total number of bytes received by the load balancer from the extension backend. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
response_code: (INT64) HTTP backend response code.
load_balancing_scheme: Load balancing scheme: EXTERNAL or EXTERNAL_MANAGED.
response_code_class: (INT64) HTTP backend response code class: 200, 300, 400, 500 or 0 for none.
proxy_continent: Continent of the HTTP proxy that handled the request: 'America', 'Europe' or 'Asia'.
cache_result: Cache result for serving the HTTP request by backends (cache hits are abstracted as backend requests): 'HIT', 'MISS', 'DISABLED' or 'UNKNOWN'.
https/external/regional/backend_latencies GA(project)
Backend latencies
DELTADISTRIBUTIONms
http_external_regional_lb_rule
A distribution of the latency calculated from when the request was sent by the proxy to the backend until the proxy received from the backend the last byte of response. For Service Extensions, this value represents the sum of latencies of each ProcessingRequest/ProcessingResponse pair between the load balancer and the extension backend. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
protocol: Protocol used by the client: 'HTTP/1.0', 'HTTP/1.1', 'HTTP/2.0', 'QUIC/HTTP/2.0' or 'UNKNOWN'.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED' or 'UNKNOWN'.
client_country: Country of the client that issued the HTTP request (e.g. 'United States', 'Germany').
https/external/regional/backend_request_bytes_count BETA(project)
Backend request bytes count per external regional https load balancer
DELTAINT64By
http_external_regional_lb_rule
The number of bytes sent as requests from Regional External HTTP(S) load balancer to backends. For Service Extensions, this value represents the total number of bytes sent from the load balancer to the extension backend. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
https/external/regional/backend_request_count BETA(project)
Backend request count per external regional https load balancer
DELTAINT641
http_external_regional_lb_rule
The number of requests served by backends of Regional External HTTP(S) load balancer. For Service Extensions, this value represents the total number of gRPC streams between the load balancer to the extension backend. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
https/external/regional/backend_response_bytes_count BETA(project)
Backend response bytes count per external regional https load balancer
DELTAINT64By
http_external_regional_lb_rule
The number of bytes sent as response from backends to Regional External HTTP(S) load balancer. For Service Extensions, this value represents the total number of bytes received by the load balancer from the extension backend. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
https/external/regional/request_bytes_count GA(project)
Request bytes
DELTAINT64By
http_external_regional_lb_rule
The number of bytes sent as requests from clients to HTTP/S load balancer. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
protocol: Protocol used by the client: 'HTTP/1.0', 'HTTP/1.1', 'HTTP/2.0', 'QUIC/HTTP/2.0' or 'UNKNOWN'.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED' or 'UNKNOWN'.
client_country: Country of the client that issued the HTTP request (e.g. 'United States', 'Germany').
https/external/regional/request_count GA(project)
Request count
DELTAINT641
http_external_regional_lb_rule
The number of requests served by HTTP/S load balancer. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
protocol: Protocol used by the client: 'HTTP/1.0', 'HTTP/1.1', 'HTTP/2.0', 'QUIC/HTTP/2.0' or 'UNKNOWN'.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED' or 'UNKNOWN'.
client_country: Country of the client that issued the HTTP request (e.g. 'United States', 'Germany').
https/external/regional/response_bytes_count GA(project)
Response bytes
DELTAINT64By
http_external_regional_lb_rule
The number of bytes sent as responses from HTTP/S load balancer to clients. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
protocol: Protocol used by the client: 'HTTP/1.0', 'HTTP/1.1', 'HTTP/2.0', 'QUIC/HTTP/2.0' or 'UNKNOWN'.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED' or 'UNKNOWN'.
client_country: Country of the client that issued the HTTP request (e.g. 'United States', 'Germany').
https/external/regional/total_latencies GA(project)
Total latencies
DELTADISTRIBUTIONms
http_external_regional_lb_rule
A distribution of the latency calculated from when the request was received by the proxy until the proxy got ACK from client on last response byte. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
protocol: Protocol used by the client: 'HTTP/1.0', 'HTTP/1.1', 'HTTP/2.0', 'QUIC/HTTP/2.0' or 'UNKNOWN'.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED' or 'UNKNOWN'.
client_country: Country of the client that issued the HTTP request (e.g. 'United States', 'Germany').
https/frontend_tcp_rtt GA(project)
Frontend RTT
DELTADISTRIBUTIONms
https_lb_rule
A distribution of the RTT measured for each connection between client and proxy. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
load_balancing_scheme: Load balancing scheme: EXTERNAL or EXTERNAL_MANAGED.
proxy_continent: Continent of the HTTP proxy that handled the hit: 'America', 'Europe' or 'Asia'.
client_country: Country of the client that issued the HTTP request (for example, 'United States', 'Germany').
https/internal/backend_latencies GA(project)
Backend latencies
DELTADISTRIBUTIONms
internal_http_lb_rule
A distribution of the latency calculated from when the request was sent by the internal Application Load Balancer proxy to the backend until the proxy received from the backend the last byte of response. For Service Extensions, this value represents the sum of latencies of each ProcessingRequest/ProcessingResponse pair between the load balancer and the extension backend. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
protocol: Protocol used by the client: 'HTTP/1.0', 'HTTP/1.1', 'HTTP/2.0', 'SPDY' or 'UNKNOWN'.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED' or 'UNKNOWN'.
https/internal/backend_request_bytes_count BETA(project)
Backend request bytes count per internal https load balancer
DELTAINT64By
internal_http_lb_rule
The number of bytes sent as requests from Internal HTTP(S) load balancer to backends. For Service Extensions, this value represents the total number of bytes sent from the load balancer to the extension backend. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
https/internal/backend_request_count BETA(project)
Backend request count per internal https load balancer
DELTAINT641
internal_http_lb_rule
The number of requests served by backends of Internal HTTP(S) load balancer. For Service Extensions, this value represents the number of gRPC streams between the load balancer and the extension backend. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
https/internal/backend_response_bytes_count BETA(project)
Backend response bytes count per internal https load balancer
DELTAINT64By
internal_http_lb_rule
The number of bytes sent as response from backends to Internal HTTP(S) load balancer. For Service Extensions, this value represents the total number of bytes received by the load balancer from the extension backend. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
https/internal/request_bytes_count GA(project)
Request bytes
DELTAINT64By
internal_http_lb_rule
The number of bytes sent as requests from clients to internal Application Load Balancer. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
protocol: Protocol used by the client: 'HTTP/1.0', 'HTTP/1.1', 'HTTP/2.0', 'SPDY' or 'UNKNOWN'.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED' or 'UNKNOWN'.
https/internal/request_count GA(project)
Request count
DELTAINT641
internal_http_lb_rule
The number of requests served by internal Application Load Balancer. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
protocol: Protocol used by the client: 'HTTP/1.0', 'HTTP/1.1', 'HTTP/2.0', 'QUIC/HTTP/2.0' or 'UNKNOWN'.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED' or 'UNKNOWN'.
https/internal/response_bytes_count GA(project)
Response bytes
DELTAINT64By
internal_http_lb_rule
The number of bytes sent as responses from internal Application Load Balancer to clients. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
protocol: Protocol used by the client: 'HTTP/1.0', 'HTTP/1.1', 'HTTP/2.0', 'SPDY' or 'UNKNOWN'.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED' or 'UNKNOWN'.
https/internal/total_latencies GA(project)
Total latencies
DELTADISTRIBUTIONms
internal_http_lb_rule
A distribution of the latency calculated from when the request was received by the internal Application Load Balancer proxy until the proxy got ACK from client on last response byte. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
protocol: Protocol used by the client: 'HTTP/1.0', 'HTTP/1.1', 'HTTP/2.0', 'SPDY' or 'UNKNOWN'.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED' or 'UNKNOWN'.
https/request_bytes_count GA(project)
Request bytes
DELTAINT64By
https_lb_rule
The number of bytes sent as requests from clients to external HTTP(S) load balancer. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
protocol: Protocol used by the client, one of [HTTP/1.0, HTTP/1.1, HTTP/2.0, SPDY, UNKNOWN].
response_code: (INT64) HTTP response code.
load_balancing_scheme: Load balancing scheme: EXTERNAL or EXTERNAL_MANAGED.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
proxy_continent: Continent of the HTTP proxy that handled the hit: 'America', 'Europe' or 'Asia'.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED', 'PARTIAL_HIT' (for a request served partially from cache and partially from backend) or 'UNKNOWN'.
client_country: Country of the client that issued the HTTP request (for example, 'United States', 'Germany').
https/request_count GA(project)
Request count
DELTAINT641
https_lb_rule
The number of requests served by external HTTP(S) load balancer. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
protocol: Protocol used by the client, one of [HTTP/1.0, HTTP/1.1, HTTP/2.0, QUIC/HTTP/2.0, UNKNOWN].
response_code: (INT64) HTTP response code.
load_balancing_scheme: Load balancing scheme: EXTERNAL or EXTERNAL_MANAGED.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
proxy_continent: Continent of the HTTP proxy that handled the hit: 'America', 'Europe' or 'Asia'.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED', 'PARTIAL_HIT' (for a request served partially from cache and partially from backend) or 'UNKNOWN'.
client_country: Country of the client that issued the HTTP request (for example, 'United States', 'Germany').
https/response_bytes_count GA(project)
Response bytes
DELTAINT64By
https_lb_rule
The number of bytes sent as responses from external HTTP(S) load balancer to clients. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
protocol: Protocol used by the client, one of [HTTP/1.0, HTTP/1.1, HTTP/2.0, SPDY, UNKNOWN].
response_code: (INT64) HTTP response code.
load_balancing_scheme: Load balancing scheme: EXTERNAL or EXTERNAL_MANAGED.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
proxy_continent: Continent of the HTTP proxy that handled the hit: 'America', 'Europe' or 'Asia'.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED', 'PARTIAL_HIT' (for a request served partially from cache and partially from backend) or 'UNKNOWN'.
client_country: Country of the client that issued the HTTP request (for example, 'United States', 'Germany').
https/total_latencies GA(project)
Total latency
DELTADISTRIBUTIONms
https_lb_rule
A distribution of the latency calculated from when the request was received by the external HTTP(S) load balancer proxy until the proxy got ACK from client on last response byte. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
protocol: Protocol used by the client, one of [HTTP/1.0, HTTP/1.1, HTTP/2.0, SPDY, UNKNOWN].
response_code: (INT64) HTTP response code.
load_balancing_scheme: Load balancing scheme: EXTERNAL or EXTERNAL_MANAGED.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
proxy_continent: Continent of the HTTP proxy that handled the hit: 'America', 'Europe' or 'Asia'.
cache_result: Cache result for serving HTTP request by proxy: 'HIT', 'MISS', 'DISABLED', 'PARTIAL_HIT' (for a request served partially from cache and partially from backend) or 'UNKNOWN'.
client_country: Country of the client that issued the HTTP request (for example, 'United States', 'Germany').
l3/external/egress_bytes_count GA(project)
Egress bytes count
DELTAINT64By
loadbalancing.googleapis.com/ExternalNetworkLoadBalancerRule
tcp_lb_rule
udp_lb_rule
The number of bytes sent from the backend of the external network load balancer to the client. For TCP flows, this metric counts the bytes on the application stream only. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
client_continent: Continent of the client that initiated the flow to the external network load balancer.
client_country: Country of the client that initiated the flow to the external network load balancer.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP]. This field remains empty for all resources other than loadbalancing.googleapis.com/ExternalNetworkLoadBalancerRule.
l3/external/egress_packets_count GA(project)
Egress packets count
DELTAINT641
loadbalancing.googleapis.com/ExternalNetworkLoadBalancerRule
tcp_lb_rule
udp_lb_rule
The number of packets sent from the backend of the external network load balancer to the client. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
client_continent: Continent of the client that initiated the flow to the external network load balancer.
client_country: Country of the client that initiated the flow to the external network load balancer.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP]. This field remains empty for all resources other than loadbalancing.googleapis.com/ExternalNetworkLoadBalancerRule.
l3/external/ingress_bytes_count GA(project)
Ingress bytes count
DELTAINT64By
loadbalancing.googleapis.com/ExternalNetworkLoadBalancerRule
tcp_lb_rule
udp_lb_rule
The number of bytes sent from the client to the backend of the external network load balancer. For TCP flows, this metric counts the bytes on the application stream only. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
client_continent: Continent of the client that initiated the flow to the external network load balancer.
client_country: Country of the client that initiated the flow to the external network load balancer.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP]. This field remains empty for all resources other than loadbalancing.googleapis.com/ExternalNetworkLoadBalancerRule.
l3/external/ingress_packets_count GA(project)
Ingress packets count
DELTAINT641
loadbalancing.googleapis.com/ExternalNetworkLoadBalancerRule
tcp_lb_rule
udp_lb_rule
The number of packets sent from the client to the backend of the external network load balancer. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
client_continent: Continent of the client that initiated the flow to the external network load balancer.
client_country: Country of the client that initiated the flow to the external network load balancer.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP]. This field remains empty for all resources other than loadbalancing.googleapis.com/ExternalNetworkLoadBalancerRule.
l3/external/rtt_latencies GA(project)
RTT latencies
DELTADISTRIBUTIONms
loadbalancing.googleapis.com/ExternalNetworkLoadBalancerRule
tcp_lb_rule
A distribution of the round trip time latency, measured over TCP connections for the external network load balancer. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
client_continent: Continent of the client that initiated the flow to the external network load balancer.
client_country: Country of the client that initiated the flow to the external network load balancer.
protocol: Protocol of the connection, set to TCP if the resource is loadbalancing.googleapis.com/ExternalNetworkLoadBalancerRule, otherwise empty.
l3/internal/egress_bytes_count GA(project)
Egress bytes per internal TCP/UDP load balancer
DELTAINT64By
internal_tcp_lb_rule
internal_udp_lb_rule
The number of bytes sent from the internal TCP/UDP load balancer backend to the client (for TCP flows it's counting bytes on application stream only). Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
client_project_id: Project ID of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_network: Network of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_subnetwork: Subnetwork of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_zone: Zone of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
l3/internal/egress_packets_count GA(project)
Egress packets per internal TCP/UDP load balancer
DELTAINT641
internal_tcp_lb_rule
internal_udp_lb_rule
The number of packets sent from the internal TCP/UDP load balancer to the client. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
client_project_id: Project ID of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_network: Network of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_subnetwork: Subnetwork of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_zone: Zone of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
l3/internal/ingress_bytes_count GA(project)
Ingress bytes per internal TCP/UDP load balancer
DELTAINT64By
internal_tcp_lb_rule
internal_udp_lb_rule
The number of bytes sent from the client to the internal TCP/UDP load balancer backend (for TCP flows it's counting bytes on application stream only). Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
client_project_id: Project ID of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_network: Network of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_subnetwork: Subnetwork of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_zone: Zone of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
l3/internal/ingress_packets_count GA(project)
Ingress packets per internal TCP/UDP load balancer
DELTAINT641
internal_tcp_lb_rule
internal_udp_lb_rule
The number of packets sent from the client to the internal TCP/UDP load balancer backend. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
client_project_id: Project ID of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_network: Network of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_subnetwork: Subnetwork of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_zone: Zone of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
l3/internal/rtt_latencies GA(project)
RTT latencies per internal TCP/UDP load balancer
DELTADISTRIBUTIONms
internal_tcp_lb_rule
A distribution of RTT measured over TCP connections for internal TCP/UDP load balancer flows. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
client_project_id: Project ID of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_network: Network of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_subnetwork: Subnetwork of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
client_zone: Zone of the client instance communicating with the internal TCP/UDP load balancer. If the client instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to CLIENT_IS_EXTERNAL.
l4_proxy/egress_bytes_count GA(project)
Egress bytes
DELTAINT64By
l4_proxy_rule
Number of bytes sent from VM to client using proxy. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
client_country: Country of the client where the traffic originated from, such as 'United States' or 'Germany'.
l4_proxy/ingress_bytes_count GA(project)
Ingress bytes
DELTAINT64By
l4_proxy_rule
Number of bytes sent from client to VM using proxy. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
client_country: Country of the client where the traffic originated from, such as 'United States' or 'Germany'.
l4_proxy/tcp/closed_connections_count GA(project)
Closed connections
DELTAINT641
l4_proxy_rule
Number of connections that were terminated over TCP proxy or SSL proxy load balancer. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
client_country: Country of the client where the traffic originated from, such as 'United States' or 'Germany'.
l4_proxy/tcp/new_connections_count BETA(project)
New connections
DELTAINT641
l4_proxy_rule
Number of connections that were openend over TCP proxy or SSL proxy load balancer. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
client_country: Country of the client where the traffic originated from, such as 'United States' or 'Germany'.
subnet/proxy_only/addresses GA(project)
Proxy-only addresses
GAUGEINT641
gce_subnetwork
The current number of proxy-only addresses by state. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: State of the address, one of [used, free].
tcp_ssl_proxy/closed_connections GA(project)
Closed connections
DELTAINT641
tcp_ssl_proxy_rule
Number of connections that were terminated over TCP proxy or SSL proxy load balancer. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
proxy_continent: Continent of the SSL proxy that handles the connection: 'America', 'Europe' or 'Asia'.
client_country: Country of the client that opened the TCP/SSL connection (for example, 'United States', 'Germany').
tcp_ssl_proxy/egress_bytes_count GA(project)
Egress bytes
DELTAINT64By
tcp_ssl_proxy_rule
Number of bytes sent from VM to client using proxy. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
proxy_continent: Continent of the proxy that handles the connection: 'America', 'Europe' or 'Asia'.
client_country: Country of the client that opened the TCP/SSL connection (for example, 'United States', 'Germany').
tcp_ssl_proxy/frontend_tcp_rtt GA(project)
Frontend RTT
DELTADISTRIBUTIONms
tcp_ssl_proxy_rule
A distribution of the smoothed RTT (in ms) measured by the proxy's TCP stack, each minute application layer bytes pass from proxy to client. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
proxy_continent: Continent of the SSL proxy that handles the connection: 'America', 'Europe' or 'Asia'.
client_country: Country of the client that opened the TCP/SSL connection (for example, 'United States', 'Germany').
tcp_ssl_proxy/ingress_bytes_count GA(project)
Ingress bytes
DELTAINT64By
tcp_ssl_proxy_rule
Number of bytes sent from client to VM using proxy. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
proxy_continent: Continent of the proxy that handles the connection: 'America', 'Europe' or 'Asia'.
client_country: Country of the client that opened the TCP/SSL connection (for example, 'United States', 'Germany').
tcp_ssl_proxy/new_connections GA(project)
New connections opened
DELTAINT641
tcp_ssl_proxy_rule
Number of connections that were created over TCP proxy or SSL proxy load balancer. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
proxy_continent: Continent of the SSL proxy that handles the connection: 'America', 'Europe' or 'Asia'.
client_country: Country of the client that opened the TCP/SSL connection (for example, 'United States', 'Germany').
tcp_ssl_proxy/open_connections GA(project)
Open Connections
GAUGEINT641
tcp_ssl_proxy_rule
Current number of outstanding connections through the TCP proxy or SSL proxy load balancer. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
proxy_continent: Continent of the SSL proxy that handles the connection: 'America', 'Europe' or 'Asia'.
client_country: Country of the client that opened the TCP/SSL connection (for example, 'United States', 'Germany').

logging

Metrics from Cloud Logging. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with logging.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
billing/bytes_ingested GA(project)
Bytes streamed into log buckets
DELTAINT64By
global
Number of bytes streamed into log buckets for indexing, querying, and analysis; includes up to 30 days of storage. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
resource_type: Monitored resource type for the log entry.
billing/bytes_stored BETA(project)
Logging Retention
GAUGEINT64By
global
Volume of logs that are retained past the default 30 days. No data exists when the retention period of a log bucket is never larger than 30 days. This metric might have a value of zero when the retention period of a log bucket is shortened to 30 days. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
data_type: This field indicates that log volume reported here is charged for retention past the default 30 days. The data_type for all reported retention is set to `CHARGED`.
log_bucket_location: The location where the log bucket resides.
log_bucket_id: The id of the log bucket.
billing/log_bucket_bytes_ingested BETA(project)
Bytes streamed into log buckets
DELTAINT64By
global
Number of bytes streamed into log buckets for indexing, querying, and analysis; includes up to 30 days of storage. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
log_source: The resource container where the log comes from.
resource_type: Monitored resource type for the logs streamed into log buckets.
log_bucket_location: The location where the log bucket resides.
log_bucket_id: The id of the log bucket.
billing/log_bucket_monthly_bytes_ingested BETA(project)
Bytes streamed into log buckets monthly
GAUGEINT64By
global
Number of bytes streamed into log buckets for indexing, querying, and analysis for this month-to-date; include up to 30 days of storage. Sampled every 1800 seconds. After sampling, data is not visible for up to 6000 seconds.
log_source: The resource container where the log comes from.
resource_type: Monitored resource type for the logs streamed into log buckets.
log_bucket_location: The location where the log bucket resides.
log_bucket_id: The id of the log bucket.
billing/monthly_bytes_ingested GA(project)
Monthly bytes streamed into log buckets
GAUGEINT64By
global
Month-to-date number of bytes streamed into log buckets for indexing, querying, and analysis; includes up to 30 days of storage. Sampled every 1800 seconds. After sampling, data is not visible for up to 6000 seconds.
resource_type: Monitored resource type for the log entry.
byte_count GA(project)
Log bytes
DELTAINT64By Number of bytes in log entries streamed into log buckets. Excluded logs are not counted. Sampled every 60 seconds.
log: Name of the log.
severity: Severity of the log entry.
dropped_log_entry_count DEPRECATED(project)
Logs-based metric errors (Deprecated)
DELTAINT641 Use "logging.googleapis.com/logs_based_metrics_error_count" instead. Sampled every 60 seconds.
log: Name of the log.
exports/byte_count GA(project)
Exported log bytes
DELTAINT64By
logging_sink
Number of bytes in log entries that were exported. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
exports/error_count GA(project)
Exported log entries failures
DELTAINT641
logging_sink
Number of log entries that failed to be exported. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
exports/log_entry_count GA(project)
Exported log entries
DELTAINT641
logging_sink
Number of log entries that were exported. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
log_entry_count GA(project)
Log entries
DELTAINT641 Number of log entries streamed into log buckets. By default, log entries are stored for 30 days. Excluded logs are not counted. Sampled every 60 seconds.
log: Name of the log.
severity: Severity of the log entry.
logs_based_metrics_error_count GA(project)
Logs-based metric errors
DELTAINT641 Number of log entries streamed into log buckets that are not counted in system or user-defined logs-based metrics. This condition can occur if the timestamp of a log entry is more than 24 hours older, or 10 minutes newer, than the actual receive time. Sampled every 60 seconds.
log: Name of the log.
metric_label_cardinality BETA(project)
Logs-based metric active cardinality count by label
GAUGEINT641
metric
Cardinality estimate for each metric label of a logs-based metric. The estimate is computed over approximately 25 hours. Sampled every 60 seconds. After sampling, data is not visible for up to 270 seconds.
label: Name of the metric label.
metric_label_throttled BETA(project)
Logs-based metric label throttled status
GAUGEBOOL
metric
Indicates if metric labels are being dropped for logs-based metrics due to exceeding cardinality limits. Sampled every 60 seconds. After sampling, data is not visible for up to 270 seconds.
label: Name of the metric label.
metric_throttled GA(project)
Logs-based metric throttled status
GAUGEBOOL
metric
Indicates if labels or points are being dropped for logs-based metrics due to exceeding active time series (cardinality) limits. Sampled every 60 seconds. After sampling, data is not visible for up to 270 seconds.
time_series_count BETA(project)
Logs-based metric active time series (cardinality) count
GAUGEINT641
metric
Active time series (cardinality) estimates for logs-based metrics. Only metric labels are counted and the estimate is computed over approximately 25 hours. Sampled every 60 seconds. After sampling, data is not visible for up to 270 seconds.

Metrics from BigQuery Engine for Apache Flink. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with managedflink.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
deployment/cpu/limit BETA(project)
CPU limit
GAUGEDOUBLEs{vCPU}/s
managedflink.googleapis.com/Deployment
The maximum amount of vCPU that the deployment can use. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
deployment/cpu/usage BETA(project)
CPU usage
GAUGEDOUBLEs{vCPU}/s
managedflink.googleapis.com/Deployment
The amount of vCPU that the deployment is currently using. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
deployment/disk/limit BETA(project)
Disk limit
GAUGEINT64By
managedflink.googleapis.com/Deployment
The maximum amount of disk usage allowed for the deployment, in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
deployment/disk/ops_usage BETA(project)
Disk operation usage
GAUGEINT64{Ops}/s
managedflink.googleapis.com/Deployment
The current disk usage for the deployment in number of operations per second. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
deployment/disk/usage BETA(project)
Disk usage
GAUGEINT64By
managedflink.googleapis.com/Deployment
The amount of disk space that the deployment is currently using. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
deployment/jobs/count BETA(project)
Jobs count
DELTAINT641
managedflink.googleapis.com/Deployment
The cumulative count of the jobs in the deployment, categorized by state. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: The state of the job.
deployment/memory/limit BETA(project)
Memory limit
GAUGEINT64By
managedflink.googleapis.com/Deployment
The maximum amount of memory that the deployment can use, in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
deployment/memory/usage BETA(project)
Memory usage
GAUGEINT64By
managedflink.googleapis.com/Deployment
The amount of memory that the deployment is currently using. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
deployment/state BETA(project)
State
GAUGEBOOL1
managedflink.googleapis.com/Deployment
The current state of the deployment.
state: The state of the deployment.
deployment/uptime_secs BETA(project)
Uptime seconds
GAUGEINT64s
managedflink.googleapis.com/Deployment
The number of seconds that this deployment has been running. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
job/autotuning/horizontal_scaling/max_parallelism BETA(project)
Maximum task slots
GAUGEINT641
managedflink.googleapis.com/Job
The maximum number of allowed task slots for the job.
job/autotuning/horizontal_scaling/min_parallelism BETA(project)
Minimum task slots
GAUGEINT641
managedflink.googleapis.com/Job
The minimum number of allowed task slots for the job.
job/autotuning/horizontal_scaling/parallelism BETA(project)
Task slots
GAUGEDOUBLE1
managedflink.googleapis.com/Job
The total number of task slots for the job.
job/autotuning/horizontal_scaling/recommended_parallelism BETA(project)
Recommended task slots
GAUGEDOUBLE1
managedflink.googleapis.com/Job
The number of task slots recommeded by the autotuning algorithm.
job/state BETA(project)
State
GAUGEBOOL1
managedflink.googleapis.com/Job
The current state of job. This data is passed through from the Apache Flink API.
state: Stringified enum state of job.
job/state_millis BETA(project)
State milliseconds
GAUGEINT64ms
managedflink.googleapis.com/Job
For a given state, returns the total amount of time in milliseconds since the job transitioned to that state. Otherwise, returns 0.
state: The stringified enum state of the job.
job/state_total_millis BETA(project)
State total milliseconds
GAUGEINT64ms
managedflink.googleapis.com/Job
The total amount of time, in milliseconds, the job has been in a given state.
state: The stringified enum state of the job.
operator/current_input_n_watermark_millis BETA(project)
Current Input N Watermark
GAUGEINT64ms
managedflink.googleapis.com/Operator
The most recent input watermark, in milliseconds, this operator received in its N'th input, with the index starting from 1. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
operator_name: Human-readable name.
input_index: The index for the n'th input.
operator/current_input_watermark_millis BETA(project)
Current input watermark
GAUGEINT64ms
managedflink.googleapis.com/Operator
The most recent input watermark, in milliseconds,received by this operator. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
operator_name: Human-readable name.
operator/current_output_watermark_millis BETA(project)
Current output watermark
GAUGEINT64ms
managedflink.googleapis.com/Operator
The most recent output watermark, in milliseconds, received by this operator. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
operator_name: Human-readable name.
operator/late_records_dropped_count BETA(project)
Late records dropped count
DELTAINT641
managedflink.googleapis.com/Operator
The total number of records dropped due to arriving late. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
operator_name: Human-readable name.
operator/records_in_count BETA(project)
Records in count
DELTAINT641
managedflink.googleapis.com/Operator
The total number of records ingested by this operator. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
operator_name: Human-readable name.
operator/records_out_count BETA(project)
Records out count
DELTAINT641
managedflink.googleapis.com/Operator
The total number of records outputted by this operator. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
operator_name: Human-readable name.
vertex/autotuning/horizontal_scaling/parallelism BETA(project)
Vertex parallelism
GAUGEDOUBLE1
managedflink.googleapis.com/Vertex
The number of task slots assigned to this vertex.
vertex_name: Human-readable name.
vertex/autotuning/horizontal_scaling/recommended_parallelism BETA(project)
Recommended vertex parallelism
GAUGEDOUBLE1
managedflink.googleapis.com/Vertex
The number of task slots recommended by the autotuning algorithm.
vertex_name: Human-readable name.
vertex/state_millis_per_sec BETA(project)
State milliseconds per second
GAUGEINT64ms/s
managedflink.googleapis.com/Vertex
The number of milliseconds within the last second (that is, the percentage of time) that this vertex was in a specific state of idle, busy, or backpressured. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: The state of the vertex. When `idle`, it has nothing to do. When `busy`, it's neither idle or backpressured. When `backpressured`, it's waiting for downstream vertices to finish. Soft backpressure is when a vertex is still responsive and can, for example, trigger unaligned checkpoints. Hard backpressure is when a vertex is completely blocked and unresponsive.
vertex_name: Human-readable name.

managedidentities

Metrics from Managed Service for Microsoft Active Directory. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with managedidentities.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
microsoft_ad/domain/health BETA(project)
AD Domain Health
GAUGEBOOL
microsoft_ad_domain
Overall health status for Active Directory domain. True if healthy, else false. Sampled every 60 seconds. After sampling, data is not visible for up to 195 seconds.
microsoft_ad/domain/ldaps/cert_ttl BETA(project)
LDAPS Certificate TTL
GAUGEINT64d
microsoft_ad_domain
Number of days until certificate with the closest expiry in the chain used for LDAPS expires. Will be 0 if certificate has expired. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
microsoft_ad/domain/trust/state BETA(project)
AD Domain Trust Health
GAUGEBOOL
microsoft_ad_domain
Detailed state for Active Directory trust between source and target domain. True if connected, else false. Sampled every 60 seconds. After sampling, data is not visible for up to 165 seconds.
trust_direction: The direction decides the domain is trusted, trusting or both.
target_domain_name: The target domain name which is in trust with.
trust_type: The different inter forest trust type.

managedkafka

Metrics from Google Cloud Managed Service for Apache Kafka. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with managedkafka.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
byte_in_count BETA(project)
Byte In Count
DELTAINT64By
managedkafka.googleapis.com/Topic
The total number of bytes from clients sent to the topic. This comes from the MBean kafka.server:type=BrokerTopicMetrics,name=BytesInPerSec,topic=([-.\w]+). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
broker_index: The index of the broker.
byte_out_count BETA(project)
Byte Out Count
DELTAINT64By
managedkafka.googleapis.com/Topic
The total number of bytes sent to clients. This comes from the MBean kafka.server:type=BrokerTopicMetrics,name=BytesOutPerSec,topic=([-.\w]+). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
broker_index: The index of the broker.
consumer_groups BETA(project)
Consumer Groups
GAUGEINT64{consumer_groups}
managedkafka.googleapis.com/Cluster
The current number of Consumer Groups consuming from the broker. This comes from MBean kafka.server:type=GroupMetadataManager,name=NumGroups. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: The state of the consumer group.
broker_index: The index of the broker.
cpu/core_usage_time BETA(project)
CPU Core Usage
DELTADOUBLEs{vCPU}
managedkafka.googleapis.com/Cluster
Total CPU usage of the broker in vCPU seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
broker_index: The index of the broker.
cpu/limit BETA(project)
CPU Limit
GAUGEDOUBLEs{vCPU}/s
managedkafka.googleapis.com/Cluster
Current CPU limit of the broker in vCPUs. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
broker_index: The index of the broker.
first_offset BETA(project)
First Offset
GAUGEINT64{offset}
managedkafka.googleapis.com/TopicPartition
The first offset in the partition. This comes from MBean kafka.log:type=Log,name=LogStartOffset,topic=([-.\w]+),partition=([0-9]+). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
broker_index: The index of the broker.
last_offset BETA(project)
Last Offset
GAUGEINT64{offset}
managedkafka.googleapis.com/TopicPartition
The last offset in the partition. This comes from MBean kafka.log:type=Log,name=LogEndOffset,topic=([-.\w]+),partition=([0-9]+). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
broker_index: The index of the broker.
log_segments BETA(project)
Log Segments
GAUGEINT64{log_segments}
managedkafka.googleapis.com/TopicPartition
The current number of log segments. This comes from MBean kafka.log:type=Log,name=NumLogSegments,topic=([-.\w]+),partition=([0-9]+). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
broker_index: The index of the broker.
memory/limit BETA(project)
Memory Limit
GAUGEDOUBLEBy
managedkafka.googleapis.com/Cluster
The memory limit of the broker in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
broker_index: The index of the broker.
memory/usage BETA(project)
Memory Usage
GAUGEINT64By
managedkafka.googleapis.com/Cluster
The memory usage of the broker in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
broker_index: The index of the broker.
message_in_count BETA(project)
Message In Count
DELTAINT64{message}
managedkafka.googleapis.com/Topic
The total number of messages that have been published to the topic. This comes from the MBean kafka.server:type=BrokerTopicMetrics,name=MessagesInPerSec,topic=([-.\w]+). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
broker_index: The index of the broker.
offset_lag BETA(project)
Offset Lag
GAUGEINT64{message}
managedkafka.googleapis.com/TopicPartitionConsumerGroup
The number of messages that the consumer group has not yet committed on the partition.
partitions BETA(project)
Partitions
GAUGEINT64{partition}
managedkafka.googleapis.com/Cluster
The current number of partitions handled by this broker. This comes from the MBean kafka.server:type=ReplicaManager,name=PartitionCount. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
broker_index: The index of the broker.
request_byte_count BETA(project)
Request Byte Count
DELTAINT64By
managedkafka.googleapis.com/Cluster
The total size, in bytes, of requests made to the Cluster. This comes from the MBean kafka.network:type=RequestMetrics,name=RequestBytes,request=([-.\w]+). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
request: The type of the request.
broker_index: The index of the broker.
request_count BETA(project)
Request Count
DELTAINT64{request}
managedkafka.googleapis.com/Cluster
The total number of requests made to the broker. This comes from the MBean kafka.network:type=RequestMetrics,name=RequestsPerSec,request={Produce|FetchConsumer|FetchFollower},version=([0-9]+). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
broker_index: The index of the broker.
request: The type of the request.
request_latencies BETA(project)
Request Latencies
GAUGEINT64ms
managedkafka.googleapis.com/Cluster
The number of milliseconds taken for each request, at various percentiles. This comes from MBean kafka.network:type=RequestMetrics,name=TotalTimeMs,request={Produce|FetchConsumer|FetchFollower}. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
request: The type of the request.
percentile: The latency percentile.
broker_index: The index of the broker.
topic_error_count BETA(project)
Topic Error Count
DELTAINT64{error}
managedkafka.googleapis.com/Topic
The total number failed requests made to the topic. This comes from the MBeans kafka.server:type=BrokerTopicMetrics,name=FailedProduceRequestsPerSec,topic=([-.\w]+) and kafka.server:type=BrokerTopicMetrics,name=FailedFetchRequestsPerSec,topic=([-.\w]+). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
request: The type of the request.
broker_index: The index of the broker.
topic_request_count BETA(project)
Topic Request Count
DELTAINT64{request}
managedkafka.googleapis.com/Topic
The total number of requests made to the topic. This comes from the MBeans kafka.server:type=BrokerTopicMetrics,name=TotalProduceRequestsPerSec,topic=([-.\w]+) and kafka.server:type=BrokerTopicMetrics,name=TotalFetchRequestsPerSec,topic=([-.\w]+). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
request: The type of the request.
broker_index: The index of the broker.

maps

Metrics from Google Maps Platform. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with maps.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
service/request_count DEPRECATED(project)
Request Count (Deprecated)
DELTAINT641
maps.googleapis.com/Api
Use "maps.googleapis.com/service/v2/request_count" instead. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
grpc_status_code: The numeric gRPC response code or canonical gRPC equivalent of the reported Google Maps Platform API HTTP response code. See code mapping in https://github.com/googleapis/googleapis/blob/master/google/rpc/code.proto.
platform_type: Platform type where Google Maps API query comes from.
response_code: The response code of the Maps API call.
response_code_class: The response code class of the Maps API call.
protocol: The protocol of the request, for example, "http" or "grpc".
service/request_count_by_domain GA(project)
Request count by domains
DELTAINT641
maps.googleapis.com/Api
The count of completed requests by top100 frequency domains. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
platform_type: Platform type where Google Maps API query comes from, one of [PLATFORM_TYPE_JS, PLATFORM_TYPE_WEBSERVICE, PLATFORM_TYPE_UNKNOWN, PLATFORM_TYPE_ANDROID, PLATFORM_TYPE_IOS].
response_code_class: The response code class of the Maps API call, one of [2xx, 3xx, 4xx, 5xx]
protocol: The protocol of the request, for example, "http" or "grpc".
domain: The domain of the request.
service/request_latencies DEPRECATED(project)
Service Request Latencies (Deprecated)
DELTADISTRIBUTIONms
maps.googleapis.com/Api
Use "maps.googleapis.com/service/v2/request_latencies" instead. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
platform_type: Platform type where Google Maps API query comes from.
response_code: The response code of the Maps API call.
response_code_class: The response code class of the Maps API call.
protocol: The protocol of the request, for example, "http" or "grpc".
service/request_latencies_by_domain GA(project)
Request latencies by domains
DELTADISTRIBUTIONms
maps.googleapis.com/Api
The latencies of completed requests by top100 frequency domains. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
platform_type: Platform type of the request, for example, "IOS", "Android" or "Web service".
response_code_class: The response code class of the Maps API call.
protocol: The protocol of the request, for example, "http" or "grpc".
domain: The domain of the request.
service/v2/request_count GA(project)
Request Count
DELTAINT641
maps.googleapis.com/Api
The count of completed requests. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
grpc_status_code: The numeric gRPC response code or canonical gRPC equivalent of the reported Google Maps Platform API HTTP response code. See code mapping in https://github.com/googleapis/googleapis/blob/master/google/rpc/code.proto.
platform_type: Platform type where Google Maps API query comes from.
response_code: The response code of the Maps API call.
response_code_class: The response code class of the Maps API call.
protocol: The protocol of the request, for example, "http" or "grpc".
service/v2/request_latencies GA(project)
Service Request Latencies
DELTADISTRIBUTIONms
maps.googleapis.com/Api
Distribution of latencies in milliseconds for non-streaming requests. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
platform_type: Platform type where Google Maps API query comes from.
response_code: The response code of the Maps API call.
response_code_class: The response code class of the Maps API call.
protocol: The protocol of the request, for example, "http" or "grpc".

memcache

Metrics from Memorystore for Memcached. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with memcache.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
node/active_connections BETA(project)
Active connections
GAUGEINT641
memcache_node
Connections active in this Memcached node. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
node/cache_memory BETA(project)
Cache memory usage
GAUGEINT64By
memcache_node
Bytes alloted for the Memcached cache in this node, grouped by whether that memory is used or not. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
used: 0 for unused and 1 for used cache memory.
node/cpu/usage_time BETA(project)
CPU usage time
DELTADOUBLEs{CPU}
memcache_node
CPU usage time by Memcached process grouped by user and kernel mode. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
mode: CPU usage mode, e.g. user or kernel.
node/cpu/utilization BETA(project)
CPU usage percent
DELTADOUBLE10^2.%
memcache_node
CPU usage percent by Memcached node. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
node/eviction_count BETA(project)
Eviction count
DELTAINT641
memcache_node
Count of items evicted by this Memcached node. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
node/hit_ratio BETA(project)
Hit ratio
GAUGEDOUBLE10^2.%
memcache_node
Hit ratio, expressed as a percentage of the total cache requests excluding set operations. Values are numbers between 0.0 and 1.0, charts display the values as a percentage between 0% and 100%. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
node/items BETA(project)
Items
GAUGEINT641
memcache_node
Items stored in this Memcached node. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
node/memory/utilization BETA(project)
System memory utilization
GAUGEDOUBLE10^2.%
memcache_node
Utilization of system memory by Memcached node. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
node/operation_count BETA(project)
Memcached operation count
DELTAINT641
memcache_node
Count of Memcached operations grouped by command and response_type (e.g. hit, miss). Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
command: Name of the Memcached command.
response_type: Status of the operation, e.g. hit, miss.
node/received_bytes_count BETA(project)
Received bytes
DELTAINT64By
memcache_node
Bytes received by this Memcached node. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
node/sent_bytes_count BETA(project)
Sent bytes
DELTAINT64By
memcache_node
Bytes sent by this Memcached node. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
node/uptime BETA(project)
Uptime
GAUGEINT64s
memcache_node
Time in seconds the node has been running. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.

memorystore

Metrics from Memorystore. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with memorystore.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
instance/clients/average_connected_clients BETA(project)
Client connections - average
GAUGEINT641
memorystore.googleapis.com/Instance
Mean current number of client connections across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
instance/clients/maximum_connected_clients BETA(project)
Client connections - maximum
GAUGEINT641
memorystore.googleapis.com/Instance
Maximum current number of client connections across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
instance/clients/total_connected_clients BETA(project)
Client connections - total
GAUGEINT641
memorystore.googleapis.com/Instance
Current number of client connections to the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
instance/commandstats/total_calls_count BETA(project)
Commands count
DELTAINT641
memorystore.googleapis.com/Instance
Count of Engine commands. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
command: The command executed.
instance/commandstats/total_usec_count BETA(project)
Commands time
DELTAINT64us
memorystore.googleapis.com/Instance
The total time consumed per command. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
command: The command executed.
instance/cpu/average_utilization BETA(project)
CPU utilization - average
GAUGEDOUBLE10^2.%
memorystore.googleapis.com/Instance
Mean CPU utilization across the instance from 0.0 to 1.0. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
instance/cpu/maximum_utilization BETA(project)
CPU utilization - maximum
GAUGEDOUBLE10^2.%
memorystore.googleapis.com/Instance
Maximum CPU utilization across the instance from 0.0 to 1.0. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
instance/keyspace/total_keys BETA(project)
Total keys
GAUGEINT641
memorystore.googleapis.com/Instance
Number of keys stored in the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/memory/average_utilization BETA(project)
Memory utilization - average
GAUGEDOUBLE10^2.%
memorystore.googleapis.com/Instance
Mean memory utilization across the instance from 0.0 to 1.0. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/memory/maximum_utilization BETA(project)
Memory utilization - maximum
GAUGEDOUBLE10^2.%
memorystore.googleapis.com/Instance
Maximum memory utilization across the instance from 0.0 to 1.0. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/memory/size BETA(project)
Memory size
GAUGEINT64By
memorystore.googleapis.com/Instance
Memory size of the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/memory/total_used_memory BETA(project)
Memory usage
GAUGEINT64By
memorystore.googleapis.com/Instance
Total memory usage of the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/persistence/aof_fsync_lags BETA(project)
AOF fsync lags.
GAUGEDISTRIBUTIONs
memorystore.googleapis.com/Instance
Distribution of AOF lag between memory and persistent store across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/persistence/aof_rewrite_count BETA(project)
AOF rewrite count.
DELTAINT641
memorystore.googleapis.com/Instance
Count of AOF rewrites across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
status_code: (INT64) gRPC error code (e.g. 0=OK,8=RESOURCE_EXHAUSTED, 13=INTERNAL)
status_string: Status code description.
instance/persistence/rdb_last_success_ages BETA(project)
RDB snapshot ages.
GAUGEDISTRIBUTIONs
memorystore.googleapis.com/Instance
Age of RDB snapshots across instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/persistence/rdb_saves_count BETA(project)
RDB saves count.
DELTAINT641
memorystore.googleapis.com/Instance
Count of RDB saves across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
status_code: (INT64) gRPC error code (e.g. 0=OK,8=RESOURCE_EXHAUSTED, 13=INTERNAL)
status_string: Status code description.
instance/replication/average_ack_lag BETA(project)
Replication acknowledge lag - average
GAUGEDOUBLEs
memorystore.googleapis.com/Instance
Mean replication acknowledge lag (in seconds) of replica across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/replication/average_offset_diff BETA(project)
Replication offset diff - average
GAUGEINT64By
memorystore.googleapis.com/Instance
Mean replication offset diff (in bytes) across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/replication/maximum_ack_lag BETA(project)
Replication acknowledge lag - maximum
GAUGEDOUBLEs
memorystore.googleapis.com/Instance
Maximum replication acknowledge lag (in seconds) of replica across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/replication/maximum_offset_diff BETA(project)
Replication offset diff - maximum
GAUGEINT64By
memorystore.googleapis.com/Instance
Maximum replication offset diff (in bytes) across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/stats/average_evicted_keys BETA(project)
Evicted keys - average
GAUGEINT641
memorystore.googleapis.com/Instance
Mean number of evicted keys due to memory capacity. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/stats/average_expired_keys BETA(project)
Expired keys - average
GAUGEINT641
memorystore.googleapis.com/Instance
Mean number of key expiration events. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/stats/average_keyspace_hits BETA(project)
Keyspace hits - average
GAUGEINT641
memorystore.googleapis.com/Instance
Mean number of successful lookup of keys across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
instance/stats/average_keyspace_misses BETA(project)
Keyspace misses - average
GAUGEINT641
memorystore.googleapis.com/Instance
Mean number of failed lookup of keys across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
instance/stats/maximum_evicted_keys BETA(project)
Evicted keys - maximum
GAUGEINT641
memorystore.googleapis.com/Instance
Maximum number of evicted keys due to memory capacity. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/stats/maximum_expired_keys BETA(project)
Expired keys - maximum
GAUGEINT641
memorystore.googleapis.com/Instance
Maximum number of key expiration events. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/stats/maximum_keyspace_hits BETA(project)
Keyspace hits - maximum
GAUGEINT641
memorystore.googleapis.com/Instance
Maximum number of successful lookup of keys across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
instance/stats/maximum_keyspace_misses BETA(project)
Keyspace misses - maximum
GAUGEINT641
memorystore.googleapis.com/Instance
Maximum number of failed lookup of keys across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
instance/stats/total_connections_received_count BETA(project)
Client connections - received
DELTAINT641
memorystore.googleapis.com/Instance
Count of client connections created in the last one minute. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
instance/stats/total_evicted_keys_count BETA(project)
Evicted keys - total
DELTAINT641
memorystore.googleapis.com/Instance
Total number of evicted keys due to memory capacity. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/stats/total_expired_keys_count BETA(project)
Expired keys - total
DELTAINT641
memorystore.googleapis.com/Instance
Total number of key expiration events. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
instance/stats/total_keyspace_hits_count BETA(project)
Keyspace Hits - total
DELTAINT641
memorystore.googleapis.com/Instance
Total number of successful lookup of keys across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
instance/stats/total_keyspace_misses_count BETA(project)
Keyspace misses - total
DELTAINT641
memorystore.googleapis.com/Instance
Total number of failed lookup of keys across the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
instance/stats/total_net_input_bytes_count BETA(project)
Network bytes - incoming total
DELTAINT64By
memorystore.googleapis.com/Instance
Count of incoming network bytes received by the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
instance/stats/total_net_output_bytes_count BETA(project)
Network bytes - outgoing total
DELTAINT64By
memorystore.googleapis.com/Instance
Count of outgoing network bytes sent from the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
instance/stats/total_rejected_connections_count BETA(project)
Client connections - rejected
DELTAINT641
memorystore.googleapis.com/Instance
Count of client connections rejected because of maxclients limit. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].

metastore

Metrics from Dataproc Metastore. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with metastore.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
federation/health BETA(project)
Federation service health
GAUGEINT641
metastore.googleapis.com/Federation
The health of the Federated Dataproc Metastore Service.
version: The Hive Metastore version of the service.
federation/server/request_count BETA(project)
Federation service request count
DELTAINT64{request}
metastore.googleapis.com/Federation
The number of requests sent to the Federated Dataproc Metastore Service.
method_name: The request method name.
status: End status of the request, one of [success, client_error, server_error].
version: The Hive Metastore version of the service.
service/grpc/finished_requests_count BETA(project)
gRPC Requests Finished Count
DELTAINT641
metastore.googleapis.com/Service
The number of requests finished by the GRPC Dataproc Metastore Service.
tier: Service tier or instance size of the service, such as ENTERPRISE.
version: The Hive Metastore version of the service.
status: The status of the request, such as `BAD_REQUEST`.
method_name: The request method name.
service/grpc/received_bytes_count BETA(project)
gRPC Bytes Received
DELTAINT64By
metastore.googleapis.com/Service
Number of bytes received by the Dataproc Metastore Service.
tier: Service tier or instance size of the service.
version: The Hive Metastore version of the service.
service/grpc/request_latencies BETA(project)
gRPC Request Latencies
DELTADISTRIBUTIONms
metastore.googleapis.com/Service
Distribution of gRPC request latencies for a Dataproc Metastore Service.
tier: Service tier or instance size of the service.
version: The Hive Metastore version of the service.
status: The status of the request, such as `BAD_REQUEST`.
method_name: The request method name.
service/grpc/sent_bytes_count BETA(project)
gRPC Bytes Sent
DELTAINT64By
metastore.googleapis.com/Service
Number of bytes sent by the Dataproc Metastore Service.
tier: Service tier or instance size of the service.
version: The Hive Metastore version of the service.
service/grpc/started_requests_count BETA(project)
gRPC Requests Started Count
DELTAINT641
metastore.googleapis.com/Service
The number of requests received and started by the GRPC Dataproc Metastore Service.
tier: Service tier or instance size of the service.
version: The Hive Metastore version of the service.
method_name: The request method name.
service/grpc_client/finished_requests_count BETA(project)
gRPC Client Requests Finished Count
CUMULATIVEINT641
metastore.googleapis.com/Service
Total number of RPCs completed on the client, regardless of success or failure.
status: The status of the request, such as `BAD_REQUEST`.
method_name: The request method name.
service/grpc_client/received_bytes_count BETA(project)
gRPC Client Bytes Received
CUMULATIVEINT64By
metastore.googleapis.com/Service
Number of bytes received by the gRPC client.
service/grpc_client/request_latencies BETA(project)
gRPC Client Request Latencies
CUMULATIVEDISTRIBUTIONms
metastore.googleapis.com/Service
Distribution of gRPC request latencies for a Dataproc Metastore Service.
status: The status of the request, such as `BAD_REQUEST`.
method_name: The request method name.
service/grpc_client/sent_bytes_count BETA(project)
gRPC Client Bytes Sent
CUMULATIVEINT64By
metastore.googleapis.com/Service
Number of bytes sent by the gRPC client.
service/grpc_client/started_requests_count BETA(project)
gRPC Client Requests Started Count
CUMULATIVEINT641
metastore.googleapis.com/Service
The number of requests started by the gRPC client.
method_name: The request method name.
service/health GA(project)
Service health
GAUGEINT641
metastore.googleapis.com/Service
The health of the Dataproc Metastore Service.
tier: Service tier or instance size of the service, such as ENTERPRISE.
version: The Hive Metastore version of the service.
release_tag: Dataproc Metastore release tag, populated by the service backend and may change over service lifetime.
service/metadata/bytes_used BETA(project)
Size of the metadata stored in the Dataproc Metastore service.
GAUGEINT64By
metastore.googleapis.com/Service
The amount of data that is stored in the backend database of the service.
version: The Hive Metastore version of the service.
database_type: The type of database, one of [SQL, Spanner].
service/migration/replication_lag BETA(project)
Replication pipeline processing latency in seconds.
GAUGEDOUBLEs
metastore.googleapis.com/Service
Current maximum duration in seconds taken to replicate data to Dataproc Metastore.
migration_id: The migration ID.
service/migration/write_throughput BETA(project)
Destination database write throughput.
GAUGEDOUBLEBy/s
metastore.googleapis.com/Service
Current write throughput at the Dataproc Metastore database where the data is being copied to during the replication phase.
migration_id: The migration ID.
service/multi_region/health GA(project)
Multiregional service health
GAUGEINT641
metastore.googleapis.com/Service
The health of the multiregional Dataproc Metastore Service.
version: The Hive Metastore version of the service.
release_tag: Dataproc Metastore release tag, populated by the service backend and may change over service lifetime.
service_region: The constituent region that Dataproc Metastore service is hosted in.
scaling_factor: Scaling factor of the service, one of [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0].
service/multi_region/request_count GA(project)
Multiregional service request count
DELTAINT64{request}
metastore.googleapis.com/Service
The number of requests sent to the multiregional Dataproc Metastore Service.
method_name: The request method name.
version: The Hive Metastore version of the service.
service_region: The constituent region that Dataproc Metastore service is hosted in.
scaling_factor: Scaling factor of the service, one of [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0].
service/multi_region/request_latencies GA(project)
Multiregional service request latencies
DELTADISTRIBUTIONms
metastore.googleapis.com/Service
The latencies of the requests sent to the multiregional Dataproc Metastore Service.
method_name: The request method name.
version: The Hive Metastore version of the service.
service_region: The constituent region that Dataproc Metastore service is hosted in.
scaling_factor: Scaling factor of the service, one of [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0].
service/query_metadata/request_count BETA(project)
Admin Interface request count
DELTAINT64{request}
metastore.googleapis.com/Service
The number of Admin Interface requests.
database_type: The type of database, one of [SQL, Spanner].
code: The gRPC status code.
service/query_metadata/request_latencies BETA(project)
Admin Interface request latency
DELTADISTRIBUTIONms
metastore.googleapis.com/Service
The end to end request latency for Admin Interface requests.
database_type: The type of database, one of [SQL, Spanner].
code: The gRPC status code.
service/request_count GA(project)
Request count
DELTAINT64{request}
metastore.googleapis.com/Service
The number of requests sent to the Dataproc Metastore Service.
method_name: The request method name.
version: The Hive Metastore version of the service.
service/scheduled_backups/backup_count BETA(project)
Scheduled Backups Count
DELTAINT641
metastore.googleapis.com/Service
The number of scheduled backups currently stored for the service.
state: State of the backup, one of [SUCCEEDED, FAILED, IN_PROGRESS].
database_type: The type of database, one of [SQL, Spanner].
version: The Hive Metastore version of the service.
service/scheduled_backups/last_backup_duration BETA(project)
Scheduled Backups - Last Backup Duration
GAUGEINT64s
metastore.googleapis.com/Service
The duration of the last successful scheduled backup in seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: State of the backup, one of [SUCCEEDED, FAILED, IN_PROGRESS].
database_type: The type of database, one of [SQL, Spanner].
version: The Hive Metastore version of the service.
service/scheduled_backups/last_backup_size BETA(project)
Scheduled Backups Request - Last Backup Size
GAUGEINT64By
metastore.googleapis.com/Service
The size of the last successful scheduled backup in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: State of the backup, one of [SUCCEEDED, FAILED, IN_PROGRESS].
database_type: The type of database, one of [SQL, Spanner].
version: The Hive Metastore version of the service.

ml

Metrics from AI Platform (formerly Cloud Machine Learning). Launch stages of these metrics: ALPHA BETA GA

The "metric type" strings in this table must be prefixed with ml.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
prediction/error_count GA(project)
Error count
DELTAINT641
cloudml_model_version
Cumulative count of prediction errors. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
prediction_type: One of the CloudML prediction types: online_prediction, batch_prediction.
prediction/latencies GA(project)
Latency
DELTADISTRIBUTIONus
cloudml_model_version
Latency of a certain type. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
latency_type: One of the following: overhead, model, or user. Aggregating these three gives us the total latency.
prediction/online/accelerator/duty_cycle ALPHA(project)
Accelerator duty cycle
GAUGEDOUBLE10^2.%
cloudml_model_version
Average fraction of time over the past sample period during which the accelerator(s) were actively processing. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
replica_id: Unique ID corresponding to the model replica.
prediction/online/accelerator/memory/bytes_used ALPHA(project)
Accelerator memory usage
GAUGEINT64By
cloudml_model_version
Amount of accelerator memory allocated by the model replica. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
replica_id: Unique ID corresponding to the model replica.
prediction/online/cpu/utilization ALPHA(project)
CPU usage
GAUGEDOUBLE10^2.%
cloudml_model_version
Fraction of CPU allocated by the model replica and currently in use. May exceed 100% if the machine type has multiple CPUs. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
replica_id: Unique ID corresponding to the model replica.
prediction/online/memory/bytes_used ALPHA(project)
Memory usage
GAUGEINT64By
cloudml_model_version
Amount of memory allocated by the model replica and currently in use. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
replica_id: Unique ID corresponding to the model replica.
prediction/online/network/bytes_received ALPHA(project)
Network bytes received
DELTAINT64By
cloudml_model_version
Number of bytes received over the network by the model replica. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
replica_id: ID corresponding to the model replica.
prediction/online/network/bytes_sent ALPHA(project)
Network bytes sent
DELTAINT64By
cloudml_model_version
Number of bytes sent over the network by the model replica. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
replica_id: Unique ID corresponding to the model replica.
prediction/online/replicas ALPHA(project)
Replica count
GAUGEINT641
cloudml_model_version
Number of active model replicas. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
prediction/online/target_replicas ALPHA(project)
Replica target
GAUGEINT641
cloudml_model_version
Aspired number of active model replicas. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
prediction/prediction_count GA(project)
Prediction count
DELTAINT641
cloudml_model_version
Cumulative count of predictions. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
prediction_type: One of the CloudML prediction types: online_prediction, batch_prediction.
prediction/response_count GA(project)
Response count
DELTAINT641
cloudml_model_version
Cumulative count of different response codes. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
prediction_type: One of the CloudML prediction types: online_prediction, batch_prediction.
response_code: (INT64) The http response code.
training/accelerator/memory/utilization BETA(project)
Accelerator memory utilization
GAUGEDOUBLE10^2.%
cloudml_job
Fraction of allocated accelerator memory that is currently in use. Values are numbers between 0.0 and 1.0, charts display the values as a percentage between 0% and 100%. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
task_type: One of the CloudML training job task types: master, worker or ps (for Parameter Server).
task_index: (INT64) Zero based task index.
trial_id: ID of hyperparameter trial.
training/accelerator/utilization BETA(project)
Accelerator utilization
GAUGEDOUBLE10^2.%
cloudml_job
Fraction of allocated accelerator that is currently in use. Values are numbers between 0.0 and 1.0, charts display the values as a percentage between 0% and 100%. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
task_type: One of the CloudML training job task types: master, worker or ps (for Parameter Server).
task_index: (INT64) Zero based task index.
trial_id: ID of hyperparameter trial.
training/cpu/utilization GA(project)
CPU utilization
GAUGEDOUBLE10^2.%
cloudml_job
Fraction of allocated CPU that is currently in use. Values are numbers between 0.0 and 1.0, charts display the values as a percentage between 0% and 100%. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
task_type: One of the CloudML training job task types: master, worker or ps (for Parameter Server).
task_index: (INT64) Zero based task index.
trial_id: ID of hyperparameter trial.
training/memory/utilization GA(project)
Memory utilization
GAUGEDOUBLE10^2.%
cloudml_job
Fraction of allocated memory that is currently in use. Values are numbers between 0.0 and 1.0, charts display the values as a percentage between 0% and 100%. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
task_type: One of the CloudML training job task types: master, worker or ps (for Parameter Server).
task_index: (INT64) Zero based task index.
trial_id: ID of hyperparameter trial.
training/network/received_bytes_count GA(project)
Network bytes received
DELTAINT64By
cloudml_job
Number of bytes received by the training job over the network. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
task_type: One of the CloudML training job task types: master, worker or ps (for Parameter Server).
task_index: (INT64) Zero based task index.
trial_id: ID of hyperparameter trial.
training/network/sent_bytes_count GA(project)
Network bytes sent
DELTAINT64By
cloudml_job
Number of bytes sent by the training job over the network. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
task_type: One of the CloudML training job task types: master, worker or ps (for Parameter Server).
task_index: (INT64) Zero based task index.
trial_id: ID of hyperparameter trial.

monitoring

Metrics from Cloud Monitoring. Launch stages of these metrics: ALPHA BETA GA

The "metric type" strings in this table must be prefixed with monitoring.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
billing/bytes_ingested GA(project)
Metric bytes ingested
DELTAINT64By
global
Chargeable number of bytes of metric data ingested. Sampled every 60 seconds. After sampling, data is not visible for up to 1020 seconds.
metric_domain: Domain name prefix from the metric type.
metric_type: Metric type for the ingested data.
resource_type: Monitored resource type for the ingested data.
billing/bytes_ingested_hourly ALPHA(project)
Metric bytes ingested hourly
DELTAINT64By
global
Chargeable number of bytes of metric data ingested, aggregated hourly. Sampled every 3600 seconds. After sampling, data is not visible for up to 8220 seconds.
metric_domain: Domain name prefix from the metric type.
metric_type: Metric type for the ingested data.
resource_type: Monitored resource type for the ingested data.
billing/non_chargeable_samples_ingested ALPHA(project)
Non-chargeable metric samples ingested
DELTAINT641
global
Number of samples of non-chargeable metric data ingested. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
metric_domain: Domain name prefix from the metric type.
metric_type: Metric type for the ingested data.
resource_type: Monitored resource type for the ingested data.
exception_type: The reason why these samples were not charged.
billing/samples_ingested GA(project)
Metric samples ingested
DELTAINT641
global
Chargeable number of samples of metric data ingested. Chargeable usage reported as samples ingested is never reported as bytes ingested, and vice versa. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
metric_domain: Domain name prefix from the metric type.
metric_type: Metric type for the ingested data.
resource_type: Monitored resource type for the ingested data.
billing/samples_ingested_hourly ALPHA(project)
Metric samples ingested hourly
DELTAINT641
global
Chargeable number of samples of metric data ingested, aggregated hourly. Chargeable usage reported as samples ingested is never reported as bytes ingested, and vice versa. Sampled every 3600 seconds. After sampling, data is not visible for up to 7500 seconds.
metric_domain: Domain name prefix from the metric type.
metric_type: Metric type for the ingested data.
resource_type: Monitored resource type for the ingested data.
collection/attribution/write_sample_count BETA(project)
Samples written by attribution id
DELTAINT641
monitoring.googleapis.com/MetricIngestionAttribution
The number of chargeable metric samples written that are tagged with a reporting attribution dimension.
metric_domain: The metric domain.
metric_type: The metric type.
resource_type: The monitored resource type.
collection/write_request_point_count BETA(project)
Metric write requests
DELTAINT641
monitoring.googleapis.com/MetricStatistics
The number of metric points written. One request may contain multiple points, which are counted separately.
resource_type: The monitored resource type.
status: The status code for the write attempt, for example, "OK" or "INVALID_ARGUMENT".
stats/filtered_byte_count ALPHA(project)
Filtered byte count
DELTAINT641
global
Number of bytes of metric data filtered through Metric Exclusion rules. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
metric_domain: Domain name prefix from the metric type.
metric_type: Metric type that was filtered.
resource_type: Monitored resource type for the filtered metric.
filter_id: The Metric Exclusion rule ID which caused this metric to be filtered.
stats/filtered_sample_count ALPHA(project)
Filtered sample count
DELTAINT641
global
Number of samples of metric data filtered through Metric Exclusion rules. Sampled every 60 seconds. After sampling, data is not visible for up to 300 seconds.
metric_domain: Domain name prefix from the metric type.
metric_type: Metric type that was filtered.
resource_type: Monitored resource type for the filtered metric.
filter_id: The Metric Exclusion rule ID which caused this metric to be filtered.
stats/metrics_queried_hourly_count ALPHA(project)
Metrics queried hourly count
DELTAINT641
global
Number of API queries by metric type and origin. Only recorded for user metrics. Sampled every 3600 seconds. After sampling, data is not visible for up to 7380 seconds.
api_method: The fully qualified name of the API method through which the metric was queried.
origin: The origin of the query, one of [console, other].
metric_type: Metric type for the queried data.
stats/num_time_series GA(project)
Time series count
GAUGEINT641
global
Number of active time series for user-defined metrics under custom.googleapis.com and logging.googleapis.com/user. An active time series is one that has received data in the previous 24 hours. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
prefix: Metric type name prefix for the encompassed data, one of [custom.googleapis.com, logging.googleapis.com/user].
uptime_check/check_passed GA(project)
Check passed
GAUGEBOOL
aws_ec2_instance
cloud_run_revision
gae_app
gce_instance
k8s_service
servicedirectory_service
uptime_url
True if the resource passed the check. After sampling, data is not visible for up to 35 seconds.
check_id: The Uptime check for which the request was made.
checker_location: For external checks, the Uptime Monitoring location making the request.
checker_project_id: For internal checks, the checker project.
checker_network: For internal checks, the checker network.
checker_zone: For internal checks, the checker zone.
checked_resource_id: ID of the resource being checked. Format depends on resource type.
uptime_check/content_mismatch GA(project)
Content mismatch
GAUGEBOOL
aws_ec2_instance
cloud_run_revision
gae_app
gce_instance
k8s_service
servicedirectory_service
uptime_url
True if the response failed to match the check's specification of required content. After sampling, data is not visible for up to 35 seconds.
check_id: The Uptime check for which the request was made.
checker_location: For external checks, the Uptime Monitoring location making the request.
checker_project_id: For internal checks, the checker project.
checker_network: For internal checks, the checker network.
checker_zone: For internal checks, the checker zone.
checked_resource_id: ID of the resource being checked. Format depends on resource type.
uptime_check/error_code GA(project)
Error code
GAUGESTRING
aws_ec2_instance
cloud_run_revision
gae_app
gce_instance
k8s_service
servicedirectory_service
uptime_url
Error, if any, that prevented contact with the resource. After sampling, data is not visible for up to 35 seconds.
check_id: The Uptime check for which the request was made.
checker_location: For external checks, the Uptime Monitoring location making the request.
checker_project_id: For internal checks, the checker project.
checker_network: For internal checks, the checker network.
checker_zone: For internal checks, the checker zone.
checked_resource_id: ID of the resource being checked. Format depends on resource type.
uptime_check/http_status GA(project)
HTTP status
GAUGESTRING
aws_ec2_instance
cloud_run_revision
gae_app
gce_instance
k8s_service
servicedirectory_service
uptime_url
HTTP response code returned by the resource. After sampling, data is not visible for up to 35 seconds.
check_id: The Uptime check for which the request was made.
checker_location: For external checks, the Uptime Monitoring location making the request.
checker_project_id: For internal checks, the checker project.
checker_network: For internal checks, the checker network.
checker_zone: For internal checks, the checker zone.
checked_resource_id: ID of the resource being checked. Format depends on resource type.
uptime_check/request_latency GA(project)
Request latency
GAUGEDOUBLEms
aws_ec2_instance
cloud_run_revision
gae_app
gce_instance
k8s_service
servicedirectory_service
uptime_url
The request latency in milliseconds measured by Uptime Monitoring when executing the request. After sampling, data is not visible for up to 35 seconds.
check_id: The Uptime check for which the request was made.
checker_location: For external checks, the Uptime Monitoring location making the request.
checker_project_id: For internal checks, the checker project.
checker_network: For internal checks, the checker network.
checker_zone: For internal checks, the checker zone.
checked_resource_id: ID of the resource being checked. Format depends on resource type.
uptime_check/time_until_ssl_cert_expires GA(project)
Time until SSL certificate expires
GAUGEDOUBLEd
aws_ec2_instance
cloud_run_revision
gae_app
gce_instance
k8s_service
servicedirectory_service
uptime_url
The number of days until the SSL certificate on the resource expires. After sampling, data is not visible for up to 35 seconds.
check_id: The Uptime check for which the request was made.
checker_location: For external checks, the Uptime Monitoring location making the request.
checker_project_id: For internal checks, the checker project.
checker_network: For internal checks, the checker network.
checker_zone: For internal checks, the checker zone.
checked_resource_id: ID of the resource being checked. Format depends on resource type.

netapp

Metrics from NetApp Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with netapp.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
replication/current_transfer_bytes BETA(project)
Volume Replication Transfer Progress
GAUGEINT64By
netapp.googleapis.com/Replication
Amount of data transferred thus far for the current job.
replication/healthy BETA(project)
Volume Replication Healthy
GAUGEBOOL
netapp.googleapis.com/Replication
FALSE if a scheduled transfer is missed or is unhealthy.
replication/lag_time BETA(project)
Volume Replication Transfer Lag Time
GAUGEINT64s
netapp.googleapis.com/Replication
Time since the snapshot for transfer was taken on source (includes transfer duration).
replication/last_transfer_duration BETA(project)
Volume Replication Last Transfer Duration
GAUGEINT64s
netapp.googleapis.com/Replication
Duration of the last transfer job.
replication/last_transfer_size BETA(project)
Volume Replication Last Transfer Size
GAUGEINT64By
netapp.googleapis.com/Replication
Size of the last transfer job.
replication/total_transfer_byte_count BETA(project)
Volume Replication Total Transfer Bytes
CUMULATIVEINT64By
netapp.googleapis.com/Replication
Cumulative data transferred for the relationship since it was created. May reset to 0.
replication/transferring BETA(project)
Volume Replication Status
GAUGEBOOL
netapp.googleapis.com/Replication
Status of replication: TRUE = transferring, FALSE = idle.
storage_pool/allocated BETA(project)
Storage pool space usage
GAUGEINT64By
netapp.googleapis.com/StoragePool
Storage pool capacity allocated to volumes.
storage_pool/auto_tiering/cold_tier_read_byte_count BETA(project)
StoragePool cold tier read bytes
DELTAINT64By
netapp.googleapis.com/StoragePool
Capacity read from cold tier of the StoragePool.
storage_pool/auto_tiering/cold_tier_write_byte_count BETA(project)
StoragePool cold tier write bytes
DELTAINT64By
netapp.googleapis.com/StoragePool
Capacity write to cold tier of the StoragePool.
storage_pool/auto_tiering/tiered_bytes BETA(project)
Auto tiering storage pool capacity tiering type size
GAUGEINT64By
netapp.googleapis.com/StoragePool
Storage pool capacity tiering types: cold, or non-cold.
type: Type of tiered data, cold or or non-cold.
storage_pool/capacity BETA(project)
Storage pool capacity
GAUGEINT64By
netapp.googleapis.com/StoragePool
Total size of the storage pool.
storage_pool/replication_status BETA(project)
Replication Status
GAUGEINT641
netapp.googleapis.com/StoragePool
Replication status for regional Flex StoragePool.
state: Replication status: Synced, CatchingUp, OutOfSync.
volume/allocated_bytes BETA(project)
Volume space allocated
GAUGEINT64By
netapp.googleapis.com/Volume
Capacity allocated to volume from the storage pool.
volume/auto_tiering/cold_tier_read_byte_count BETA(project)
Volume cold tier read bytes
DELTAINT64By
netapp.googleapis.com/Volume
Capacity read from cold tier of the of the volume.
volume/auto_tiering/cold_tier_write_byte_count BETA(project)
Volume cold tier write bytes
DELTAINT64By
netapp.googleapis.com/Volume
Capacity write to cold tier of the of the volume.
volume/auto_tiering/tiered_bytes BETA(project)
Auto tiering volume used space type
GAUGEINT64By
netapp.googleapis.com/Volume
Auto tiering volume used capacity by tiered types: cold or hot.
type: Type of tiered data, cold or hot.
volume/average_latency BETA(project)
Volume I/O operation latency
GAUGEDOUBLEms
netapp.googleapis.com/Volume
Volume I/O operation latency within the storage system.
method: Type of latency, read, write or metadata.
volume/backup_current_transfer_bytes BETA(project)
Volume Backup Transfer Progress
GAUGEINT64By
netapp.googleapis.com/Volume
Amount of data transferred thus far for the current job.
volume/backup_healthy BETA(project)
Volume Backup Transfer Healthy
GAUGEBOOL
netapp.googleapis.com/Volume
FALSE if a backup transfer is missed or failed or has experienced a manual backup failure.
volume/backup_last_transfer_duration BETA(project)
Volume Backup Last Transfer Duration
GAUGEINT64s
netapp.googleapis.com/Volume
Duration of the last transfer job.
volume/backup_last_transfer_size BETA(project)
Volume Backup Last Transfer Size
GAUGEINT64By
netapp.googleapis.com/Volume
Size of the last transfer job.
volume/backup_transferring BETA(project)
Volume Backup Status
GAUGEBOOL
netapp.googleapis.com/Volume
Status of backup: TRUE = transferring, FALSE = idle.
volume/backup_used BETA(project)
Bytes backed up
GAUGEINT64By
netapp.googleapis.com/Volume
Bytes backed up (baseline and incremental changes).
volume/bytes_used BETA(project)
Volume space used
GAUGEINT64By
netapp.googleapis.com/Volume
Capacity used to store data written as files and additional space used for snapshots.
volume/inode_limit BETA(project)
Volume inode allocation
GAUGEINT641
netapp.googleapis.com/Volume
Inodes allocated for the volume (hard cap). Tied to allocated capacity (size) of volume.
volume/inode_used BETA(project)
Volume inode usage
GAUGEINT641
netapp.googleapis.com/Volume
Number of inodes in use on the volume.
volume/operation_count BETA(project)
Operations count
DELTAINT641
netapp.googleapis.com/Volume
Number of operations being performed on the volume by the clients.
type: Type of operation, read, write, or metadata.
volume/snapshot_bytes BETA(project)
Volume snapshot space used
GAUGEINT64By
netapp.googleapis.com/Volume
Capacity used for snapshot copies.
volume/throughput BETA(project)
Throughput
DELTAINT64By
netapp.googleapis.com/Volume
Throughput for the operation type.
type: Type of operation, read, write, or metadata.
volume/throughput_limit BETA(project)
Maximum throughput
GAUGEINT64KiBy/s
netapp.googleapis.com/Volume
Maximum throughput allocated for the volume.

networkconnectivity

Metrics from Network Connectivity. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with networkconnectivity.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
quota/active_vpc_spokes_per_hub/exceeded GA(project)
Active VPC Spokes per Hub quota exceeded error
DELTAINT641
networkconnectivity.googleapis.com/Hub
Number of attempts to exceed the limit on quota metric networkconnectivity.googleapis.com/active_vpc_spokes_per_hub. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/active_vpc_spokes_per_hub/limit GA(project)
Active VPC Spokes per Hub quota limit
GAUGEINT641
networkconnectivity.googleapis.com/Hub
Current limit on quota metric networkconnectivity.googleapis.com/active_vpc_spokes_per_hub. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/active_vpc_spokes_per_hub/usage GA(project)
Active VPC Spokes per Hub quota usage
GAUGEINT641
networkconnectivity.googleapis.com/Hub
Current usage on quota metric networkconnectivity.googleapis.com/active_vpc_spokes_per_hub. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/routes_per_route_table/exceeded GA(project)
Subnet Routes per Route Table quota exceeded error
DELTAINT641
networkconnectivity.googleapis.com/RouteTable
Number of attempts to exceed the limit on quota metric networkconnectivity.googleapis.com/routes_per_route_table. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/routes_per_route_table/limit GA(project)
Subnet Routes per Route Table quota limit
GAUGEINT641
networkconnectivity.googleapis.com/RouteTable
Current limit on quota metric networkconnectivity.googleapis.com/routes_per_route_table. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
quota/routes_per_route_table/usage GA(project)
Subnet Routes per Route Table quota usage
GAUGEINT641
networkconnectivity.googleapis.com/RouteTable
Current usage on quota metric networkconnectivity.googleapis.com/routes_per_route_table. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.

networking

Metrics from Network Topology. Launch stages of these metrics: ALPHA BETA GA

The "metric type" strings in this table must be prefixed with networking.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
all_gcp/vm_traffic/zone_pair_median_rtt BETA(project, folder, organization)
VM to VM median RTT per zone pair, for all GCP projects
GAUGEDOUBLEns
networking.googleapis.com/Location
The median RTT (round-trip time) for VM to VM traffic, per zone pair and aggregated across all GCP projects. Sampled every 60 seconds. After sampling, data is not visible for up to 540 seconds.
remote_region: Region of the remote endpoints for which the RTT was measured.
remote_zone: Zone of the remote endpoints for which the RTT was measured.
protocol: Protocol of the connections for which the RTT was measured. The only valid value is TCP.
cloud_netslo/active_probing/probe_count GA(project)
Number of probes
DELTAINT641
gce_zone_network_health
Number of probing probes. Sampled every 60 seconds. After sampling, data is not visible for up to 420 seconds.
remote_zone: Zone of the remote instance.
remote_region: Region of the remote instance.
remote_location_type: Type of destination.
protocol: Protocol used for probing.
result: Result of probing (success/failure).
fixed_standard_tier/limit BETA(project)
Fixed standard network tier limit
GAUGEINT64By
networking.googleapis.com/Location
The limit for fixed standard network tier in number of egress bytes per second. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
bandwidth_policy_id: The identifier for fixed standard tier policy or 'UNKNOWN'.
fixed_standard_tier/usage BETA(project)
Fixed standard network tier usage
GAUGEINT64By
networking.googleapis.com/Location
The current rate of egress bytes per second sent over Fixed Standard Tier. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
bandwidth_policy_id: The identifier for fixed standard tier policy or 'UNKNOWN'.
traffic_source: Traffic source for the fixed standard network tier, one of [L7LB, VM].
google_service/request_bytes_count GA(project)
Request bytes count
DELTAINT64By
google_service_gce_client
The number of bytes sent in requests from the clients to the Google Service. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
protocol: Protocol of the connection, one of [HTTP/1.1, HTTP/2.0].
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none. For gRPC error mapping to response code class see https://github.com/googleapis/googleapis/blob/master/google/rpc/code.proto.
service_name: The Google Service name, such as "storage.googleapis.com".
service_region: The region for the Google Service, such as "us-central1", "asia-south1", "europe-west6".
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
google_service/response_bytes_count GA(project)
Response bytes count
DELTAINT64By
google_service_gce_client
The number of bytes sent in responses to the clients from the Google Service. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
protocol: Protocol of the connection, one of [HTTP/1.1, HTTP/2.0].
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none. For gRPC error mapping to response code class see https://github.com/googleapis/googleapis/blob/master/google/rpc/code.proto.
service_name: The Google Service name, such as "storage.googleapis.com".
service_region: The region for the Google Service, such as "us-central1", "asia-south1", "europe-west6".
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
interconnect_attachment/egress_bytes_count GA(project)
Egress bytes from the Cloud Interconnect attachment
DELTAINT64By
interconnect_attachment
The number of bytes sent from GCP via the Cloud Interconnect attachment. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_project_number: The project number of the GCP endpoint that communicated via the attachment. Set to "LOCAL_IS_AN_EXTERNAL_PROJECT" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_AN_EXTERNAL_PROJECT.
local_project_id: The project ID of the GCP endpoint that communicated via the attachment. Set to "LOCAL_IS_AN_EXTERNAL_PROJECT" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_AN_EXTERNAL_PROJECT.
local_region: Region of the GCP endpoint that communicated via the attachment. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_zone: Zone of the GCP endpoint that communicated via the attachment. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_location_type: Type of destination, one of ["CLOUD" - when the local end is inside a VPC; "EXTERNAL" - otherwise]. If the GCP endpoint belongs to a different project, the field is set to "CLOUD" only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to EXTERNAL.
local_resource_type: Resource type of local end, one of ["GCE_VM" - for a VM instance; "ICA" - for a Cloud Interconnect attachment; "VPN" - for a Cloud VPN tunnel; "ROUTER_APPLIANCE" - for a router appliance instance; "OTHER" - otherwise]. If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the local_location_type is CLOUD, 2) the projects are in the same organization, 3) the communication was via Shared VPC or VPC Peering, 4) cross project metrics were not disabled. Otherwise the field is set to OTHER.
local_network: Network of the GCP endpoint that communicated via the attachment. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_subnetwork: Subnetwork of the GCP endpoint that communicated via the attachment. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
interconnect_attachment/ingress_bytes_count GA(project)
Ingress bytes to the Cloud Interconnect attachment
DELTAINT64By
interconnect_attachment
The number of bytes sent to GCP via the Cloud Interconnect attachment. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_project_number: The project number of the GCP endpoint that communicated via the attachment. Set to "LOCAL_IS_AN_EXTERNAL_PROJECT" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_AN_EXTERNAL_PROJECT.
local_project_id: The project ID of the GCP endpoint that communicated via the attachment. Set to "LOCAL_IS_AN_EXTERNAL_PROJECT" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_AN_EXTERNAL_PROJECT.
local_region: Region of the GCP endpoint that communicated via the attachment. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_zone: Zone of the GCP endpoint that communicated via the attachment. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_location_type: Type of destination, one of ["CLOUD" - when the local end is inside a VPC; "EXTERNAL" - otherwise]. If the GCP endpoint belongs to a different project, the field is set to "CLOUD" only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to EXTERNAL.
local_resource_type: Resource type of local end, one of ["GCE_VM" - for a VM instance; "ICA" - for a Cloud Interconnect attachment; "VPN" - for a Cloud VPN tunnel; "ROUTER_APPLIANCE" - for a router appliance instance; "OTHER" - otherwise]. If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the local_location_type is CLOUD, 2) the projects are in the same organization, 3) the communication was via Shared VPC or VPC Peering, 4) cross project metrics were not disabled. Otherwise the field is set to OTHER.
local_network: Network of the GCP endpoint that communicated via the attachment. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_subnetwork: Subnetwork of the GCP endpoint that communicated via the attachment. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
interconnect_attachment/vm/egress_bytes_count GA(project)
Egress bytes per VM to the Cloud Interconnect attachment
DELTAINT64By
gce_instance
Number of bytes sent from the local VM to its remote peers via the tunnel. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
attachment_project_number: The project number of the Cloud Interconnect attachment. If the attachment belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to ATTACHMENT_BELONGS_TO_AN_EXTERNAL_PROJECT.
attachment_project_id: The project ID of the Cloud Interconnect attachment. If the attachment belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to ATTACHMENT_BELONGS_TO_AN_EXTERNAL_PROJECT.
attachment_name: The name of the Cloud Interconnect attachment. If the attachment belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to ATTACHMENT_BELONGS_TO_AN_EXTERNAL_PROJECT.
attachment_region: Region of the Cloud Interconnect attachment. If the attachment belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to ATTACHMENT_BELONGS_TO_AN_EXTERNAL_PROJECT.
interconnect_name: The name of the Cloud Interconnect. If the attachment belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to ATTACHMENT_BELONGS_TO_AN_EXTERNAL_PROJECT.
interconnect_project_id: The project identifier of the Cloud Interconnect. If the attachment belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to ATTACHMENT_BELONGS_TO_AN_EXTERNAL_PROJECT.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
interconnect_attachment/vm/ingress_bytes_count GA(project)
Ingress bytes per VM from the Cloud Interconnect attachment
DELTAINT64By
gce_instance
Number of bytes sent to the local VM from its remote peers via the Cloud Interconnect attachment. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
attachment_project_number: The project number of the Cloud Interconnect attachment. If the attachment belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to ATTACHMENT_BELONGS_TO_AN_EXTERNAL_PROJECT.
attachment_project_id: The project ID of the Cloud Interconnect attachment. If the attachment belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to ATTACHMENT_BELONGS_TO_AN_EXTERNAL_PROJECT.
attachment_name: The name of the Cloud Interconnect attachment. If the attachment belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to ATTACHMENT_BELONGS_TO_AN_EXTERNAL_PROJECT.
attachment_region: Region of the Cloud Interconnect attachment. If the attachment belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to ATTACHMENT_BELONGS_TO_AN_EXTERNAL_PROJECT.
interconnect_name: The name of the Cloud Interconnect. If the attachment belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to ATTACHMENT_BELONGS_TO_AN_EXTERNAL_PROJECT.
interconnect_project_id: The project identifier of the Cloud Interconnect. If the attachment belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to ATTACHMENT_BELONGS_TO_AN_EXTERNAL_PROJECT.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
node_flow/egress_bytes_count GA(project)
Egress bytes count per GKE node
DELTAINT64By
k8s_node
Number of bytes sent from the GKE node to its remote peers, including from Pods inside the node. The bytes count doesn't include packet header size. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local GKE node.
local_subnetwork: Subnetwork of the local GKE node.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_region: Region of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote region is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster: GKE cluster of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe]. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL".
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL".
network_tier: Network tier of the connection, one of [PREMIUM, STANDARD, FIXED_STANDARD, UNKNOWN]. Set to "UNKNOWN" if the remote_location_type is not "EXTERNAL" or the network tier was not identified.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
node_flow/egress_packets_count GA(project)
Egress packets count per GKE node
DELTAINT641
k8s_node
Number of packets sent from the GKE node to its remote peers, including from Pods inside the node. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local GKE node.
local_subnetwork: Subnetwork of the local GKE node.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_region: Region of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote region is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster: GKE cluster of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe]. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL".
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL".
network_tier: Network tier of the connection, one of [PREMIUM, STANDARD, FIXED_STANDARD, UNKNOWN]. Set to "UNKNOWN" if the remote_location_type is not "EXTERNAL" or the network tier was not identified.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
node_flow/ingress_bytes_count GA(project)
Ingress bytes count per GKE node
DELTAINT64By
k8s_node
Number of bytes sent to the GKE node from its remote peers, including to Pods inside the Node. The bytes count doesn't include packet header size. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local GKE node.
local_subnetwork: Subnetwork of the local GKE node.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_region: Region of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote region is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster: GKE cluster of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe]. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL".
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL".
network_tier: Network tier of the connection, one of [PREMIUM, STANDARD, FIXED_STANDARD, UNKNOWN]. Set to "UNKNOWN" if the remote_location_type is not "EXTERNAL" or the network tier was not identified.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
node_flow/ingress_packets_count GA(project)
Ingress packets count per GKE node
DELTAINT641
k8s_node
Number of packets sent to the GKE node from its remote peers, including to Pods inside the node. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local GKE node.
local_subnetwork: Subnetwork of the local GKE node.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_region: Region of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote region is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster: GKE cluster of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe]. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL".
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL".
network_tier: Network tier of the connection, one of [PREMIUM, STANDARD, FIXED_STANDARD, UNKNOWN]. Set to "UNKNOWN" if the remote_location_type is not "EXTERNAL" or the network tier was not identified.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
node_flow/rtt GA(project)
RTT latencies per GKE node
DELTADISTRIBUTIONms
k8s_node
A distribution of RTT measured over TCP connections from the GKE node to Cloud endpoints, including from Pods inside the node. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local GKE node.
local_subnetwork: Subnetwork of the local GKE node.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_region: Region of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote region is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster: GKE cluster of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
protocol: Always TCP.
pod_flow/egress_bytes_count GA(project)
Egress bytes count per GKE Pod
DELTAINT64By
k8s_pod
Number of bytes sent from the GKE Pod to its remote peers. The bytes count doesn't include packet header size. By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local GKE Pod.
local_subnetwork: Subnetwork of the local GKE Pod.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_region: Region of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote region is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster: GKE cluster of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster_location: GKE cluster location of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_namespace: GKE namespace of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_workload: GKE workload name of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_workload_type: GKE workload type of the remote endpoint, one of: [REPLICA_SET, DEPLOYMENT, STATEFUL_SET, DAEMON_SET, JOB, CRON_JOB, REPLICATION_CONTROLLER, UNKNOWN]. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe, NOT_APPLICABLE]. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL". By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point.
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL". By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point.
network_tier: Network tier of the connection, one of [PREMIUM, STANDARD, FIXED_STANDARD, UNKNOWN]. Set to "UNKNOWN" if the remote_location_type is not "EXTERNAL" or the network tier was not identified. By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
pod_flow/egress_packets_count GA(project)
Egress packets count per GKE Pod
DELTAINT641
k8s_pod
Number of packets sent from the GKE Pod to its remote peers. By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local GKE Pod.
local_subnetwork: Subnetwork of the local GKE Pod.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_region: Region of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote region is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster: GKE cluster of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster_location: GKE cluster location of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_namespace: GKE namespace of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_workload: GKE workload name of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_workload_type: GKE workload type of the remote endpoint, one of: [REPLICA_SET, DEPLOYMENT, STATEFUL_SET, DAEMON_SET, JOB, CRON_JOB, REPLICATION_CONTROLLER, UNKNOWN]. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe, NOT_APPLICABLE]. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL". By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point.
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL". By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point.
network_tier: Network tier of the connection, one of [PREMIUM, STANDARD, FIXED_STANDARD, UNKNOWN]. Set to "UNKNOWN" if the remote_location_type is not "EXTERNAL" or the network tier was not identified. By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
pod_flow/ingress_bytes_count GA(project)
Ingress bytes count per GKE Pod
DELTAINT64By
k8s_pod
Number of bytes sent to the GKE Pod from its remote peers. The bytes count doesn't include packet header size. By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local GKE Pod.
local_subnetwork: Subnetwork of the local GKE Pod.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_region: Region of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote region is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster: GKE cluster of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster_location: GKE cluster location of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_namespace: GKE namespace of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_workload: GKE workload name of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_workload_type: GKE workload type of the remote endpoint, one of: [REPLICA_SET, DEPLOYMENT, STATEFUL_SET, DAEMON_SET, JOB, CRON_JOB, REPLICATION_CONTROLLER, UNKNOWN]. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe, NOT_APPLICABLE]. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL". By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point.
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL". By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point.
network_tier: Network tier of the connection, one of [PREMIUM, STANDARD, FIXED_STANDARD, UNKNOWN]. Set to "UNKNOWN" if the remote_location_type is not "EXTERNAL" or the network tier was not identified. By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
pod_flow/ingress_packets_count GA(project)
Ingress packets count per GKE Pod
DELTAINT641
k8s_pod
Number of packets sent to the GKE Pod from its remote peers. By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local GKE Pod.
local_subnetwork: Subnetwork of the local GKE Pod.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_region: Region of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote region is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster: GKE cluster of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster_location: GKE cluster location of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_namespace: GKE namespace of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_workload: GKE workload name of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_workload_type: GKE workload type of the remote endpoint, one of: [REPLICA_SET, DEPLOYMENT, STATEFUL_SET, DAEMON_SET, JOB, CRON_JOB, REPLICATION_CONTROLLER, UNKNOWN]. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe, NOT_APPLICABLE]. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL". By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point.
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the remote_location_type is not "EXTERNAL". By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point.
network_tier: Network tier of the connection, one of [PREMIUM, STANDARD, FIXED_STANDARD, UNKNOWN]. Set to "UNKNOWN" if the remote_location_type is not "EXTERNAL" or the network tier was not identified. By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
pod_flow/rtt GA(project)
RTT latencies per GKE Pod
DELTADISTRIBUTIONms
k8s_pod
A distribution of RTT measured over TCP connections from the GKE Pod to Cloud endpoints. By default, traffic between the Pod and an endpoint outside the VPC is attributed to the Node and not the Pod, due to IP masquerading before our sampling point. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local GKE Pod.
local_subnetwork: Subnetwork of the local GKE Pod.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_region: Region of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote region is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster: GKE cluster of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_cluster_location: GKE cluster location of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_namespace: GKE namespace of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_workload: GKE workload name of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_workload_type: GKE workload type of the remote endpoint, one of: [REPLICA_SET, DEPLOYMENT, STATEFUL_SET, DAEMON_SET, JOB, CRON_JOB, REPLICATION_CONTROLLER, UNKNOWN]. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if the communication was via Shared VPC or VPC Peering. Otherwise the field is set to REMOTE_IS_EXTERNAL.
protocol: Always TCP.
region/external_rtt BETA(project)
External RTT latencies per GCP region
DELTADISTRIBUTIONms
networking.googleapis.com/Location
A distribution of RTT measured over TCP connections from a GCP region to Internet destinations. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
network_tier: Network tier of the connection, one of [PREMIUM, STANDARD, FIXED_STANDARD, UNKNOWN]
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe, NOT_APPLICABLE]. Set to "NOT_APPLICABLE" if the remote continent is unknown.
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the country is unknown.
remote_region: The region of the remote endpoint. Set to "NOT_APPLICABLE" if the region is unknown.
remote_city: The city of the remote endpoint. Set to "NOT_APPLICABLE" if the city is unknown.
remote_location_type: Always EXTERNAL.
protocol: Always TCP.
router_appliance/gateway/egress_bytes_count GA(project)
Egress bytes from router appliance instance
DELTAINT64By
gce_instance
The number of bytes sent to GCP via the router appliance instance from on-premises hosts. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
router_appliance_network: Network name of the router appliance instance NIC.
router_appliance_subnetwork: Subnetwork name of the router appliance instance NIC.
local_project_id: The project identifier of the GCP endpoint that communicated via the router appliance instance. Set to "LOCAL_IS_AN_EXTERNAL_PROJECT" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_AN_EXTERNAL_PROJECT.
local_project_number: The project number of the GCP endpoint that communicated via the router appliance instance. Set to "LOCAL_IS_AN_EXTERNAL_PROJECT" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_AN_EXTERNAL_PROJECT.
local_region: Region of the GCP endpoint that communicated via the router appliance instance. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_zone: Zone of the GCP endpoint that communicated via the router appliance instance. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_location_type: Type of destination, one of ["CLOUD" - when the local end is inside a VPC; "EXTERNAL" - otherwise]. If the GCP endpoint belongs to a different project, the field is set to "CLOUD" only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to EXTERNAL.
local_resource_type: Resource type of local end, one of ["GCE_VM" - for a VM instance; "ICA" - for a Cloud Interconnect attachment; "VPN" - for a Cloud VPN tunnel; "ROUTER_APPLIANCE" - for a router appliance instance; "OTHER" - otherwise]. If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the local_location_type is CLOUD, 2) the projects are in the same organization, 3) the communication was via Shared VPC or VPC Peering, 4) cross project metrics were not disabled. Otherwise the field is set to OTHER.
local_network: Network of the GCP endpoint that communicated via the router appliance instance. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_subnetwork: Subnetwork of the GCP endpoint that communicated via the router appliance instance. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
router_appliance/gateway/ingress_bytes_count GA(project)
Ingress bytes to the router appliance instance
DELTAINT64By
gce_instance
The number of bytes sent from GCP via the router appliance instance to on-premises hosts. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
router_appliance_network: Network name of the router appliance instance NIC.
router_appliance_subnetwork: Subnetwork name of the router appliance instance NIC.
local_project_id: The project identifier of the GCP endpoint that communicated via the router appliance instance. Set to "LOCAL_IS_AN_EXTERNAL_PROJECT" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_AN_EXTERNAL_PROJECT.
local_project_number: The project number of the GCP endpoint that communicated via the router appliance instance. Set to "LOCAL_IS_AN_EXTERNAL_PROJECT" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_AN_EXTERNAL_PROJECT.
local_region: Region of the GCP endpoint that communicated via the router appliance instance. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_zone: Zone of the GCP endpoint that communicated via the router appliance instance. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_location_type: Type of destination, one of ["CLOUD" - when the local end is inside a VPC; "EXTERNAL" - otherwise]. If the GCP endpoint belongs to a different project, the field is set to "CLOUD" only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to EXTERNAL.
local_resource_type: Resource type of local end, one of ["GCE_VM" - for a VM instance; "ICA" - for a Cloud Interconnect attachment; "VPN" - for a Cloud VPN tunnel; "ROUTER_APPLIANCE" - for a router appliance instance; "OTHER" - otherwise]. If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the local_location_type is CLOUD, 2) the projects are in the same organization, 3) the communication was via Shared VPC or VPC Peering, 4) cross project metrics were not disabled. Otherwise the field is set to OTHER.
local_network: Network of the GCP endpoint that communicated via the router appliance instance. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_subnetwork: Subnetwork of the GCP endpoint that communicated via the router appliance instance. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
router_appliance/vm/egress_bytes_count GA(project)
Egress bytes per VM to router appliance instance
DELTAINT64By
gce_instance
Number of bytes sent from the local VM to its remote peers via the router appliance instance. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
router_appliance_instance_name: The instance name of the router appliance instance. If the router appliance instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to RA_PROJECT_IS_EXTERNAL.
router_appliance_instance_id: The instance id of the router appliance instance. If the router appliance instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to RA_PROJECT_IS_EXTERNAL.
router_appliance_project_number: The project number of the router appliance instance. If the router appliance instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to RA_PROJECT_IS_EXTERNAL.
router_appliance_project_id: The project ID of the router appliance instance. If the router appliance instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to RA_PROJECT_IS_EXTERNAL.
router_appliance_zone: Zone of the router appliance instance. If the router appliance instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to RA_PROJECT_IS_EXTERNAL.
router_appliance_region: Region of the router appliance instance. If the router appliance instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to RA_PROJECT_IS_EXTERNAL.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
router_appliance/vm/ingress_bytes_count GA(project)
Ingress bytes per VM from the router appliance instance
DELTAINT64By
gce_instance
Number of bytes sent to the local VM from its remote peers via the router appliance instance. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
router_appliance_instance_name: The instance name of the router appliance instance. If the router appliance instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to RA_PROJECT_IS_EXTERNAL.
router_appliance_instance_id: The instance id of the router appliance instance. If the router appliance instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to RA_PROJECT_IS_EXTERNAL.
router_appliance_project_number: The project number of the router appliance instance. If the router appliance instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to RA_PROJECT_IS_EXTERNAL.
router_appliance_project_id: The project ID of the router appliance instance. If the router appliance instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to RA_PROJECT_IS_EXTERNAL.
router_appliance_zone: Zone of the router appliance instance. If the router appliance instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to RA_PROJECT_IS_EXTERNAL.
router_appliance_region: Region of the router appliance instance. If the router appliance instance belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to RA_PROJECT_IS_EXTERNAL.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
vm_flow/connection_count ALPHA(project)
Connection Count
DELTAINT641
gce_instance
Number of connections measured between the local VM and its remote peers. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the country is unknown or the remote_location_type is not "EXTERNAL".
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe, NOT_APPLICABLE]. Set to "NOT_APPLICABLE" if the business region is unknown or the remote_location_type is not "EXTERNAL".
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
network_topology_remote_label: Always UNSUPPORTED.
remote_vpn_tunnel: Always UNSUPPORTED.
vm_flow/egress_bytes_count GA(project)
Egress bytes
DELTAINT64By
gce_instance
Number of bytes sent from the local VM to its remote peers. This metric does not include the header size. So this value is lower than the compute.googleapis.com/instance/network/sent_bytes_count value. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the country is unknown or the remote_location_type is not "EXTERNAL".
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe, NOT_APPLICABLE]. Set to "NOT_APPLICABLE" if the business region is unknown or the remote_location_type is not "EXTERNAL".
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
network_topology_remote_label: Always UNSUPPORTED.
remote_vpn_tunnel: Always UNSUPPORTED.
vm_flow/egress_packets_count ALPHA(project)
Egress Packets Per VM
DELTAINT641
gce_instance
Number of packets sent from the local VM to its remote peers. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the country is unknown or the remote_location_type is not "EXTERNAL".
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe, NOT_APPLICABLE]. Set to "NOT_APPLICABLE" if the business region is unknown or the remote_location_type is not "EXTERNAL".
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_region: Region of the remote instance. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote region is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
network_topology_remote_label: Always UNSUPPORTED.
remote_vpn_tunnel: Always UNSUPPORTED.
vm_flow/external_rtt GA(project)
External RTT latencies
DELTADISTRIBUTIONms
gce_instance
A distribution of RTT measured over TCP connections from the local VM to Internet destinations. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
network_tier: Network tier of the connection, one of [PREMIUM, STANDARD, FIXED_STANDARD, UNKNOWN]
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe, NOT_APPLICABLE]. Set to "NOT_APPLICABLE" if the remote continent is unknown.
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the country is unknown.
remote_region: The region of the remote endpoint. Set to "NOT_APPLICABLE" if the region is unknown.
remote_city: The city of the remote endpoint. Set to "NOT_APPLICABLE" if the city is unknown.
remote_location_type: Always EXTERNAL.
protocol: Always TCP.
vm_flow/ingress_bytes_count GA(project)
Ingress bytes
DELTAINT64By
gce_instance
Number of bytes sent to the local VM from its remote peers. This metric does not include the header size. So this value is lower than the compute.googleapis.com/instance/network/received_bytes_count value. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the country is unknown or the remote_location_type is not "EXTERNAL".
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe, NOT_APPLICABLE]. Set to "NOT_APPLICABLE" if the business region is unknown or the remote_location_type is not "EXTERNAL".
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
network_topology_remote_label: Always UNSUPPORTED.
remote_vpn_tunnel: Always UNSUPPORTED.
vm_flow/ingress_packets_count ALPHA(project)
Ingress Packets Per VM
DELTAINT641
gce_instance
Number of packets sent to the local VM from its remote peers. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
remote_country: The country of the remote endpoint. Set to "NOT_APPLICABLE" if the country is unknown or the remote_location_type is not "EXTERNAL".
remote_continent: The business region of the remote endpoint, one of [America, Asia, Europe, NOT_APPLICABLE]. Set to "NOT_APPLICABLE" if the business region is unknown or the remote_location_type is not "EXTERNAL".
remote_project_id: Project ID of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_region: Region of the remote instance. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote region is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". Set to "global" if the remote zone is unknown. If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_location_type: Type of the remote endpoint, one of: ["CLOUD" - when the endpoint is inside a VPC; "EXTERNAL" - when the endpoint is an Internet endpoint including public IP of a VM or network load balancer; "GOOGLE_INTERNAL" - when the endpoint is Google infrastructure such as a health check or GFE; "ON_PREM" - when the communication is through a Cloud VPN tunnel, Cloud Interconnect Attachment or router appliance instance].
remote_network: Network of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. Set to "REMOTE_IS_EXTERNAL" if the remote_location_type is not "CLOUD". If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
network_topology_remote_label: Always UNSUPPORTED.
remote_vpn_tunnel: Always UNSUPPORTED.
vm_flow/rtt GA(project)
RTT latencies
DELTADISTRIBUTIONms
gce_instance
A distribution of RTT measured over TCP connections from the local VM. Measured for intra Cloud traffic only. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
remote_country: Always NOT_APPLICABLE.
remote_continent: Always NOT_APPLICABLE.
remote_project_id: Project ID of the remote endpoint. If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_region: Region of the remote instance. If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_zone: Zone of the remote endpoint. If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_location_type: Always CLOUD.
remote_network: Network of the remote endpoint. If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
remote_subnetwork: Subnetwork of the remote endpoint. If the remote endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to REMOTE_IS_EXTERNAL.
protocol: Always TCP.
network_topology_remote_label: Always UNSUPPORTED.
remote_vpn_tunnel: Always UNSUPPORTED.
vpc_flow/predicted_max_vpc_flow_logs_count BETA(project)
Predicted Max VPC Flow Logs Count
DELTAINT641
gce_subnetwork
A predicted upper bound for the amount of VPC Flow Logs that would be exported for a specific subnet. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
vpn_tunnel/egress_bytes_count GA(project)
Egress bytes from the Cloud VPN tunnel
DELTAINT64By
vpn_tunnel
The number of bytes sent from GCP via the Cloud VPN tunnel. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_project_number: The project number of the GCP endpoint that communicated via the Cloud VPN tunnel. Set to "LOCAL_IS_AN_EXTERNAL_PROJECT" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_AN_EXTERNAL_PROJECT.
local_project_id: The project ID of the GCP endpoint that communicated via the Cloud VPN tunnel. Set to "LOCAL_IS_AN_EXTERNAL_PROJECT" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_AN_EXTERNAL_PROJECT.
local_region: Region of the GCP endpoint that communicated via the Cloud VPN tunnel. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_zone: Zone of the GCP endpoint that communicated via the Cloud VPN tunnel. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_location_type: Type of destination, one of ["CLOUD" - when the local end is inside a VPC; "EXTERNAL" - otherwise]. If the GCP endpoint belongs to a different project, the field is set to "CLOUD" only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to EXTERNAL.
local_resource_type: Resource type of local end, one of ["GCE_VM" - for a VM instance; "ICA" - for a Cloud Interconnect attachment; "VPN" - for a Cloud VPN tunnel; "ROUTER_APPLIANCE" - for a router appliance instance; "OTHER" - otherwise]. If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the local_location_type is CLOUD, 2) the projects are in the same organization, 3) the communication was via Shared VPC or VPC Peering, 4) cross project metrics were not disabled. Otherwise the field is set to OTHER.
local_network: Network of the GCP endpoint that communicated via the Cloud VPN tunnel. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_subnetwork: Subnetwork of the GCP endpoint that communicated via the Cloud VPN tunnel. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
vpn_tunnel/ingress_bytes_count GA(project)
Ingress bytes to the Cloud VPN tunnel
DELTAINT64By
vpn_tunnel
The number of bytes sent to GCP via the Cloud VPN tunnel. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_project_number: The project number of the GCP endpoint that communicated via the Cloud VPN tunnel. Set to "LOCAL_IS_AN_EXTERNAL_PROJECT" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_AN_EXTERNAL_PROJECT.
local_project_id: The project ID of the GCP endpoint that communicated via the Cloud VPN tunnel. Set to "LOCAL_IS_AN_EXTERNAL_PROJECT" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_AN_EXTERNAL_PROJECT.
local_region: Region of the GCP endpoint that communicated via the Cloud VPN tunnel. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_zone: Zone of the GCP endpoint that communicated via the Cloud VPN tunnel. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_location_type: Type of destination, one of ["CLOUD" - when the local end is inside a VPC; "EXTERNAL" - otherwise]. If the GCP endpoint belongs to a different project, the field is set to "CLOUD" only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to EXTERNAL.
local_resource_type: Resource type of local end, one of ["GCE_VM" - for a VM instance; "ICA" - for a Cloud Interconnect attachment; "VPN" - for a Cloud VPN tunnel; "ROUTER_APPLIANCE" - for a router appliance instance; "OTHER" - otherwise]. If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the local_location_type is CLOUD, 2) the projects are in the same organization, 3) the communication was via Shared VPC or VPC Peering, 4) cross project metrics were not disabled. Otherwise the field is set to OTHER.
local_network: Network of the GCP endpoint that communicated via the Cloud VPN tunnel. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
local_subnetwork: Subnetwork of the GCP endpoint that communicated via the Cloud VPN tunnel. Set to "LOCAL_IS_EXTERNAL" if the local_location_type is not "CLOUD". If the GCP endpoint belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to LOCAL_IS_EXTERNAL.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
vpn_tunnel/vm/egress_bytes_count GA(project)
Egress bytes per VM to the Cloud VPN tunnel
DELTAINT64By
gce_instance
Number of bytes sent from the local VM to its remote peers via the Cloud VPN tunnel. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
vpn_project_number: The project number of the Cloud VPN tunnel. If the tunnel belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to TUNNEL_BELONGS_TO_AN_EXTERNAL_PROJECT.
vpn_project_id: The project ID of the Cloud VPN tunnel. If the tunnel belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to TUNNEL_BELONGS_TO_AN_EXTERNAL_PROJECT.
vpn_region: Region of the Cloud VPN tunnel. If the tunnel belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to TUNNEL_BELONGS_TO_AN_EXTERNAL_PROJECT.
vpn_tunnel_id: The tunnel identifier of the Cloud VPN tunnel. If the tunnel belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to TUNNEL_BELONGS_TO_AN_EXTERNAL_PROJECT.
vpn_tunnel_name: The tunnel name of the Cloud VPN tunnel. If the tunnel belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to TUNNEL_BELONGS_TO_AN_EXTERNAL_PROJECT.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].
vpn_tunnel/vm/ingress_bytes_count GA(project)
Ingress bytes per VM from the Cloud VPN tunnel
DELTAINT64By
gce_instance
Number of bytes sent to the local VM from its remote peers via the Cloud VPN tunnel. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
local_network: Network of the local instance.
local_subnetwork: Subnetwork of the local instance.
local_network_interface: NIC of the local instance.
vpn_project_number: The project number of the Cloud VPN tunnel. If the tunnel belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to TUNNEL_BELONGS_TO_AN_EXTERNAL_PROJECT.
vpn_project_id: The project ID of the Cloud VPN tunnel. If the tunnel belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to TUNNEL_BELONGS_TO_AN_EXTERNAL_PROJECT.
vpn_region: Region of the Cloud VPN tunnel. If the tunnel belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to TUNNEL_BELONGS_TO_AN_EXTERNAL_PROJECT.
vpn_tunnel_id: The tunnel identifier of the Cloud VPN tunnel. If the tunnel belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to TUNNEL_BELONGS_TO_AN_EXTERNAL_PROJECT.
vpn_tunnel_name: The tunnel name of the Cloud VPN tunnel. If the tunnel belongs to a different project, the field is set with the correct value only if all of the following hold: 1) the projects are in the same organization, 2) the communication was via Shared VPC or VPC Peering, 3) cross project metrics were not disabled. Otherwise the field is set to TUNNEL_BELONGS_TO_AN_EXTERNAL_PROJECT.
protocol: Protocol of the connection, one of [TCP, UDP, GRE, ICMP, ICMPV6, ESP].

networksecurity

Metrics from Google Cloud Armor. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with networksecurity.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
dos/ingress_bytes_count BETA(project)
Ingress bytes
DELTAINT64By
networksecurity.googleapis.com/ProtectedEndpoint
The total number of bytes received, broken down by drop status (allowed or dropped). Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
drop_status: Indicates whether the bytes were dropped or allowed by the network infrastructure.
dos/ingress_packets_count BETA(project)
Ingress packets
DELTAINT64{packets}
networksecurity.googleapis.com/ProtectedEndpoint
The total number of packets received, broken down by drop status (allowed or dropped). Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
drop_status: Indicates whether the packets were dropped or allowed by the network infrastructure.
firewall_endpoint/health BETA(project)
Firewall Endpoint Health
GAUGEBOOL1
networksecurity.googleapis.com/FirewallEndpoint
Indicates whether the Firewall Endpoint is healthy or not. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
firewall_endpoint/received_bytes_count BETA(project)
Received bytes
DELTAINT64By
networksecurity.googleapis.com/FirewallEndpoint
Total Firewall Endpoint received bytes.
security_profile_group_name: The name of the security profile group.
inspected_network_name: The name of the Network that was inspected.
inspected_project_id: The ID of the GCP project associated with the network.
firewall_endpoint/received_packets_count BETA(project)
Received packets
DELTAINT641
networksecurity.googleapis.com/FirewallEndpoint
Total Firewall Endpoint received packets.
security_profile_group_name: The name of the security profile group.
inspected_network_name: The name of the Network that was inspected.
inspected_project_id: The ID of the GCP project associated with the network.
firewall_endpoint/sent_bytes_count BETA(project)
Sent bytes
DELTAINT64By
networksecurity.googleapis.com/FirewallEndpoint
Total Firewall Endpoint sent bytes.
security_profile_group_name: The name of the security profile group.
inspected_network_name: The name of the Network that was inspected.
inspected_project_id: The ID of the GCP project associated with the network.
firewall_endpoint/sent_packets_count BETA(project)
Sent packets
DELTAINT641
networksecurity.googleapis.com/FirewallEndpoint
Total Firewall Endpoint sent packets.
security_profile_group_name: The name of the security profile group.
inspected_network_name: The name of the Network that was inspected.
inspected_project_id: The ID of the GCP project associated with the network.
firewall_endpoint/threats_count BETA(project)
Threats count
DELTAINT641
networksecurity.googleapis.com/FirewallEndpoint
Total Firewall Endpoint detected threats. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
security_profile_group_name: The name of the security profile group.
inspected_network_name: The name of the Network that was inspected.
inspected_project_id: The ID of the GCP project associated with the network.
action: The action that was taken, either the default action or the override action specified in the security profile.
https/previewed_request_count GA(project)
Previewed request count
DELTAINT641
network_security_policy
Queries that would be affected by rules currently in the 'preview' mode, if those rules were to be made non-preview. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
blocked: (BOOL) Policy application result.
backend_target_name: HTTP(S) Backend Service Name.
https/request_count GA(project)
Request count
DELTAINT641
network_security_policy
Actual result of policy enforcement on queries. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
blocked: (BOOL) Policy application result.
backend_target_name: HTTP(S) Backend Service Name.
l3/external/packet_count BETA(project)
Packet count
DELTAINT641
networksecurity.googleapis.com/RegionalNetworkSecurityPolicy
Estimated number of packets by matching rule and enforcement action (sampled).
rule_number: (INT64) Rule number in RegionalSecurityPolicy.
blocked: (BOOL) Rule application result.
l3/external/preview_packet_count BETA(project)
Preview packet count
DELTAINT641
networksecurity.googleapis.com/RegionalNetworkSecurityPolicy
Estimated number of packets that would be affected by rule currently in preview mode, if that rule were to be made non-preview (sampled).
rule_number: (INT64) Rule number in RegionalSecurityPolicy.
blocked: (BOOL) Rule application result.
sse_gateway/sse_received_bytes_count BETA(project)
Bytes received from partner
DELTAINT64By
networksecurity.googleapis.com/SSEGateway
Count of bytes received by the SSE Gateway from the partner endpoint.
sse_gateway/sse_received_packets_count BETA(project)
Packets received from partner
DELTAINT641
networksecurity.googleapis.com/SSEGateway
Count of packets received by the SSE Gateway from the partner endpoint.
sse_gateway/sse_sent_bytes_count BETA(project)
Bytes sent to partner
DELTAINT64By
networksecurity.googleapis.com/SSEGateway
Count of bytes sent by the SSE Gateway to the partner endpoint.
sse_gateway/sse_sent_packets_count BETA(project)
Packets sent to partner
DELTAINT641
networksecurity.googleapis.com/SSEGateway
Count of packets sent by the SSE Gateway to the partner endpoint.
sse_gateway/trusted_network_received_bytes_count BETA(project)
Bytes received from trusted network
DELTAINT64By
networksecurity.googleapis.com/SSEGateway
Count of bytes received by the SSE Gateway from a trusted application network.
sse_gateway/trusted_network_received_packets_count BETA(project)
Packets received from trusted network
DELTAINT641
networksecurity.googleapis.com/SSEGateway
Count of packets received by the SSE Gateway from a trusted application network.
sse_gateway/trusted_network_sent_bytes_count BETA(project)
Bytes sent to trusted network
DELTAINT64By
networksecurity.googleapis.com/SSEGateway
Count of bytes sent by the SSE Gateway to a trusted application network.
sse_gateway/trusted_network_sent_packets_count BETA(project)
Packets sent to trusted network
DELTAINT641
networksecurity.googleapis.com/SSEGateway
Count of packets sent by the SSE Gateway to a trusted application network.
sse_gateway/untrusted_network_received_bytes_count BETA(project)
Bytes received from untrusted network
DELTAINT64By
networksecurity.googleapis.com/SSEGateway
Count of bytes received by the SSE Gateway from an untrusted user network.
sse_gateway/untrusted_network_received_packets_count BETA(project)
Packets received from untrusted network
DELTAINT641
networksecurity.googleapis.com/SSEGateway
Count of packets received by the SSE Gateway from an untrusted user network.
sse_gateway/untrusted_network_sent_bytes_count BETA(project)
Bytes sent to untrusted network
DELTAINT64By
networksecurity.googleapis.com/SSEGateway
Count of bytes sent by the SSE Gateway to an untrusted user network.
sse_gateway/untrusted_network_sent_packets_count BETA(project)
Packets sent to untrusted network
DELTAINT641
networksecurity.googleapis.com/SSEGateway
Count of packets sent by the SSE Gateway to an untrusted user network.
tcp_ssl_proxy/new_connection_count GA(project)
New connection count
DELTAINT641
network_security_policy
Actual result of policy enforcement on new connections. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
blocked: (BOOL) Policy application result.
backend_target_name: TCP/SSL Backend Service Name.
tcp_ssl_proxy/previewed_new_connection_count GA(project)
Previewed new connection count
DELTAINT641
network_security_policy
New connections that would be affected by rules currently in the 'preview' mode, if those rules were to be made non-preview. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
blocked: (BOOL) Policy application result.
backend_target_name: TCP/SSL Backend Service Name.

networkservices

Metrics from Secure Web Proxy. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with networkservices.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
https/backend_latencies GA(project)
Backend latencies
DELTADISTRIBUTIONms
networkservices.googleapis.com/Gateway
The latency from when the request is sent by the proxy to the backend, and the proxy receives the last byte of response. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
security_policy_action: Action taken by security policy. Can be ALLOW or DENY.
https/request_bytes_count GA(project)
Request bytes count
DELTAINT64By
networkservices.googleapis.com/Gateway
The number of bytes sent as requests from an HTTP/S load balancer to clients. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
security_policy_action: Action taken by security policy. Can be ALLOW or DENY.
https/request_count GA(project)
Request count
DELTAINT641
networkservices.googleapis.com/Gateway
The number of requests served by an HTTP/S load balancer. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
security_policy_action: Action taken by security policy. Can be ALLOW or DENY.
https/response_bytes_count GA(project)
Response bytes count
DELTAINT64By
networkservices.googleapis.com/Gateway
The number of bytes sent as responses from an HTTP/S load balancer to clients. Sampled every 60 seconds. After sampling, data is not visible for up to 90 seconds.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
security_policy_action: Action taken by security policy. Can be ALLOW or DENY.
https/total_latencies GA(project)
Total latencies
DELTADISTRIBUTIONms
networkservices.googleapis.com/Gateway
A distribution of the latency from when the request is received by the proxy, until the proxy receives an ACK from the client on last response byte. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
response_code: (INT64) HTTP response code.
response_code_class: (INT64) HTTP response code class: 200, 300, 400, 500 or 0 for none.
security_policy_action: Action taken by security policy. Can be ALLOW or DENY.

oracledatabase

Metrics from Oracle Database@Google Cloud. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with oracledatabase.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
asm_diskgroup_utilization GA(project)
ASM Diskgroup Utilization
GAUGEDOUBLE%
oracledatabase.googleapis.com/CloudVmCluster
Percentage of usable space used in a Disk Group. Usable space is the space available for growth. DATA disk group stores our Oracle database files. RECO disk group contains database files for recovery such as archives and flashback logs.
deployment_type: Deployment type of CloudVmCluster node.
diskgroup_name: Disk group name.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/block_changes GA(project)
DB Block Changes
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The number of changes that were part of an update or delete operation that were made to all blocks in the SGA. Such changes generate redo log entries and thus become permanent changes to the database if the transaction is committed. This approximates total database work. This statistic indicates the rate at which buffers are being dirtied, during the selected time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/connection_latency GA(project)
Connection Latency
GAUGEDOUBLEms
oracledatabase.googleapis.com/AutonomousDatabase
The time taken to connect to an Oracle Autonomous Database Serverless instance in each region from a Compute service virtual machine in the same region.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/cpu_time GA(project)
CPU Time
GAUGEDOUBLEs
oracledatabase.googleapis.com/AutonomousDatabase
Average rate of accumulation of CPU time by foreground sessions in the database over the time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/cpu_utilization GA(project)
CPU Utilization
GAUGEDOUBLE%
oracledatabase.googleapis.com/AutonomousDatabase
The CPU usage expressed as a percentage, aggregated across all consumer groups. The utilization percentage is reported with respect to the number of CPUs the database is allowed to use.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/current_logons GA(project)
Current Logons
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The number of successful logons during the selected interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/database_availability GA(project)
Database Availability
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The database is available for connections in the given minute, with possible values. 1 = DB Available, 0 = DB Unavailable.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/db_time GA(project)
DB Time
GAUGEDOUBLEs
oracledatabase.googleapis.com/AutonomousDatabase
The amount of time database user sessions spend executing database code (CPU Time + WaitTime). DB Time is used to infer database call latency, because DB Time increases in direct proportion to both database call latency (response time) and call volume. It is calculated as the average rate of accumulation of database time by foreground sessions in the database over the time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/executions GA(project)
Execute Count
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The number of user and recursive calls that executed SQL statements during the selected interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/failed_connections GA(project)
Failed Connections
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The number of failed database connections.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/failed_logons GA(project)
Failed Logons
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The number of log ons that failed because of an invalid user name and/or password, during the selected interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/hard_parses GA(project)
Parse Count (Hard)
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The number of parse calls (real parses) during the selected time interval. A hard parse is an expensive operation in terms of memory use, because it requires Oracle to allocate a workheap and other memory structures and then build a parse tree.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/logical_reads GA(project)
Session Logical Reads
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The sum of "db block gets" plus "consistent gets", during the selected time interval. This includes logical reads of database blocks from either the buffer cache or process private memory.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/parse_failures GA(project)
Parse Count (Failures)
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The number of parse failures during the selected time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/parses GA(project)
Parse Count (Total)
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The number of hard and soft parses during the selected interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/physical_read_total_bytes GA(project)
Physical Read Total Bytes
GAUGEDOUBLEBy
oracledatabase.googleapis.com/AutonomousDatabase
The size in bytes of disk reads by all database instance activity including application reads, backup and recovery, and other utilities, during the selected time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/physical_reads GA(project)
Physical Reads
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The number of data blocks read from disk, during the selected time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/physical_write_total_bytes GA(project)
Physical Write Total Bytes
GAUGEDOUBLEBy
oracledatabase.googleapis.com/AutonomousDatabase
The size in bytes of all disk writes for the database instance including application activity, backup and recovery, and other utilities, during the selected time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/physical_writes GA(project)
Physical Writes
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The number of data blocks written to disk, during the selected time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/query_latency GA(project)
Query Latency
GAUGEDOUBLEms
oracledatabase.googleapis.com/AutonomousDatabase
The time taken to display the results of a simple query on the user's screen.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/queued_statements GA(project)
Queued Statements
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The number of queued SQL statements, aggregated across all consumer groups, during the selected interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/redo_generated GA(project)
Redo Generated
GAUGEDOUBLEBy
oracledatabase.googleapis.com/AutonomousDatabase
Amount of redo generated in bytes, during the selected time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/running_statements GA(project)
Running Statements
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The number of running SQL statements, aggregated across all consumer groups, during the selected interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/sessions GA(project)
Sessions
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The number of sessions in the database.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/sqlnet_bytes_from_client GA(project)
Bytes Received via SQL*Net from Client
GAUGEDOUBLEBy
oracledatabase.googleapis.com/AutonomousDatabase
The number of bytes received from the client over Oracle Net Services, during the selected time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
GAUGEDOUBLEBy
oracledatabase.googleapis.com/AutonomousDatabase
The number of bytes received from a database link over Oracle Net Services, during the selected time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/sqlnet_bytes_to_client GA(project)
Bytes Sent via SQL*Net to Client
GAUGEDOUBLEBy
oracledatabase.googleapis.com/AutonomousDatabase
The number of bytes sent to the client from the foreground processes, during the selected time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
GAUGEDOUBLEBy
oracledatabase.googleapis.com/AutonomousDatabase
The number of bytes sent over a database link, during the selected time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/storage_allocated GA(project)
Storage Space Allocated
GAUGEDOUBLEGB
oracledatabase.googleapis.com/AutonomousDatabase
Amount of space allocated to the database for all tablespaces, during the interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/storage_max GA(project)
Maximum Storage Space
GAUGEDOUBLEGB
oracledatabase.googleapis.com/AutonomousDatabase
Maximum amount of storage reserved for the database during the interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/storage_used GA(project)
Storage Space Used
GAUGEDOUBLEGB
oracledatabase.googleapis.com/AutonomousDatabase
Maximum amount of space used during the interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/storage_utilization GA(project)
Storage Utilization
GAUGEDOUBLE%
oracledatabase.googleapis.com/AutonomousDatabase
The percentage of the reserved maximum storage currently allocated for all database tablespaces. Represents the total reserved space for all tablespaces.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/transactions GA(project)
Transaction Count
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The combined number of user commits and user rollbacks during the selected interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/user_calls GA(project)
User Calls
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The combined number of logons, parses, and execute calls during the selected interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/user_commits GA(project)
User Commits
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
The number of user commits during the selected time interval. When a user commits a transaction, the generated redo that reflects the changes made to database blocks must be written to disk. Commits often represent the closest thing to a user transaction rate.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/user_rollbacks GA(project)
User Rollbacks
GAUGEDOUBLE1
oracledatabase.googleapis.com/AutonomousDatabase
Number of times users manually issue the ROLLBACK statement or an error occurs during a user's transactions, during the selected time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
autonomousdatabase/wait_time GA(project)
Wait Time
GAUGEDOUBLEs
oracledatabase.googleapis.com/AutonomousDatabase
Average rate of accumulation of non-idle wait time by foreground sessions in the database over the time interval.
autonomous_db_type: Type of Autonomous database.
deployment_type: Deployment type of Autonomous database.
resource_id: OCID, Oracle cloud Resource identifier.
containerdatabase/block_changes GA(project)
DB Block Changes
GAUGEDOUBLE1
oracledatabase.googleapis.com/ContainerDatabase
Changes per second.
resource_id: OCID, Oracle cloud Resource identifier.
hostname: Hostname of VM cluster node.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
database_resource_id: Oracle cloud Resource identifier of the database.
containerdatabase/cpu_utilization GA(project)
CPU Utilization
GAUGEDOUBLE%
oracledatabase.googleapis.com/ContainerDatabase
Percent CPU utilization of container database.
resource_id: OCID, Oracle cloud Resource identifier.
hostname: Hostname of VM cluster node.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
containerdatabase/current_logons GA(project)
Current Logons
GAUGEDOUBLE1
oracledatabase.googleapis.com/ContainerDatabase
The number of successful logons during the selected interval.
resource_id: OCID, Oracle cloud Resource identifier.
hostname: Hostname of VM cluster node.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
database_resource_id: Oracle cloud Resource identifier of the database.
containerdatabase/executions GA(project)
Execute Count
GAUGEDOUBLE1
oracledatabase.googleapis.com/ContainerDatabase
The number of user and recursive calls that executed SQL statements during the selected interval.
resource_id: OCID, Oracle cloud Resource identifier.
hostname: Hostname of VM cluster node.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
database_resource_id: Oracle cloud Resource identifier of the database.
containerdatabase/parses GA(project)
Parse Count
GAUGEDOUBLE1
oracledatabase.googleapis.com/ContainerDatabase
The number of hard and soft parses during the selected interval.
resource_id: OCID, Oracle cloud Resource identifier.
hostname: Hostname of VM cluster node.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
database_resource_id: Oracle cloud Resource identifier of the database.
containerdatabase/storage_allocated GA(project)
Storage Space Allocated
GAUGEDOUBLEGBy
oracledatabase.googleapis.com/ContainerDatabase
Total amount of storage space allocated to the database at the collection time.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
database_resource_id: Oracle cloud Resource identifier of the database.
containerdatabase/storage_allocated_by_tablespace GA(project)
Allocated Storage Space By Tablespace
GAUGEDOUBLEGBy
oracledatabase.googleapis.com/ContainerDatabase
Total amount of storage space allocated to the tablespace at the collection time. In case of container database, this metric provides root container tablespaces.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
database_resource_id: Oracle cloud Resource identifier of the database.
tablespace_name: Tablespace name.
tablespace_type: Tablespace type.
containerdatabase/storage_used GA(project)
Storage Space Used
GAUGEDOUBLEGBy
oracledatabase.googleapis.com/ContainerDatabase
Total amount of storage space used by the database at the collection time.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
database_resource_id: Oracle cloud Resource identifier of the database.
containerdatabase/storage_used_by_tablespace GA(project)
Storage Space Used By Tablespace
GAUGEDOUBLEGBy
oracledatabase.googleapis.com/ContainerDatabase
Total amount of storage space used by tablespace at the collection time. In case of container database, this metric provides root container tablespaces.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
database_resource_id: Oracle cloud Resource identifier of the database.
tablespace_name: Tablespace name.
tablespace_type: Tablespace type.
containerdatabase/storage_utilization GA(project)
Storage Utilization
GAUGEDOUBLE%
oracledatabase.googleapis.com/ContainerDatabase
The percentage of provisioned storage capacity currently in use. Represents the total allocated space for all tablespaces.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
database_resource_id: Oracle cloud Resource identifier of the database.
containerdatabase/storage_utilization_by_tablespace GA(project)
Storage Space Utilization By Tablespace
GAUGEDOUBLE%
oracledatabase.googleapis.com/ContainerDatabase
This indicates the percentage of storage space utilized by the tablespace at the collection time. In case of container database, this metric provides root container tablespaces.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
database_resource_id: Oracle cloud Resource identifier of the database.
tablespace_name: Tablespace name.
tablespace_type: Tablespace type.
containerdatabase/transactions GA(project)
Transaction Count
GAUGEDOUBLE1
oracledatabase.googleapis.com/ContainerDatabase
The combined number of user commits and user rollbacks during the selected interval.
resource_id: OCID, Oracle cloud Resource identifier.
hostname: Hostname of VM cluster node.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
database_resource_id: Oracle cloud Resource identifier of the database.
containerdatabase/user_calls GA(project)
User Calls
GAUGEDOUBLE1
oracledatabase.googleapis.com/ContainerDatabase
The combined number of logons, parses, and execute calls during the selected interval.
resource_id: OCID, Oracle cloud Resource identifier.
hostname: Hostname of VM cluster node.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
database_resource_id: Oracle cloud Resource identifier of the database.
cpu_utilization GA(project)
CPU Utilization
GAUGEDOUBLE%
oracledatabase.googleapis.com/CloudVmCluster
Percent CPU utilization of CloudVmCluster.
hostname: Hostname of VM cluster node.
deployment_type: Deployment type of CloudVmCluster node.
dbnode_resource_id: Resource identifier of the dbnode.
resource_id: OCID, Oracle cloud Resource identifier.
filesystem_utilization GA(project)
Filesystem Utilization
GAUGEDOUBLE%
oracledatabase.googleapis.com/CloudVmCluster
Percent utilization of provisioned filesystem.
hostname: Hostname of VM cluster node.
deployment_type: Deployment type of CloudVmCluster node.
dbnode_resource_id: Resource identifier of the dbnode.
filesystem_name: File system name.
resource_id: OCID, Oracle cloud Resource identifier.
load_average GA(project)
Load Average
GAUGEDOUBLE1
oracledatabase.googleapis.com/CloudVmCluster
System load average over 5 minutes.
hostname: Hostname of VM cluster node.
deployment_type: Deployment type of CloudVmCluster node.
dbnode_resource_id: Resource identifier of the dbnode.
resource_id: OCID, Oracle cloud Resource identifier.
memory_utilization GA(project)
Memory Utilization
GAUGEDOUBLE%
oracledatabase.googleapis.com/CloudVmCluster
Percentage of memory available for starting new applications, without swapping.
hostname: Hostname of VM cluster node.
deployment_type: Deployment type of CloudVmCluster node.
dbnode_resource_id: Resource identifier of the dbnode.
resource_id: OCID, Oracle cloud Resource identifier.
node_status GA(project)
Node Status
GAUGEDOUBLE1
oracledatabase.googleapis.com/CloudVmCluster
Indicates whether the host is reachable.
hostname: Hostname of VM cluster node.
deployment_type: Deployment type of CloudVmCluster node.
dbnode_resource_id: Resource identifier of the dbnode.
resource_id: OCID, Oracle cloud Resource identifier.
ocpus_allocated GA(project)
OCPU Allocated
GAUGEDOUBLE1
oracledatabase.googleapis.com/CloudVmCluster
The number of OCPUs allocated.
hostname: Hostname of VM cluster node.
deployment_type: Deployment type of CloudVmCluster node.
dbnode_resource_id: Resource identifier of the dbnode.
resource_id: OCID, Oracle cloud Resource identifier.
pluggabledatabase/allocated_storage_utilization_by_tablespace GA(project)
Allocated Space Utilization By Tablespace
GAUGEDOUBLE%
oracledatabase.googleapis.com/PluggableDatabase
The percentage of space used by tablespace, out of all allocated. For container databases, this metric provides data for root container tablespaces.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
tablespace_name: Name of the tablespace.
tablespace_contents: Tablespace contents.
resource_type: Type of the database resource.
pluggabledatabase/avg_gc_current_block_receive_time GA(project)
Average GC Current Block Receive Time
GAUGEDOUBLEms
oracledatabase.googleapis.com/PluggableDatabase
The average global cache current blocks receive time. Statistic reports the mean value. For Real Application Cluster (RAC) databases only.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/avg_gccr_block_receive_time GA(project)
Average GC CR Block Receive Time
GAUGEDOUBLEms
oracledatabase.googleapis.com/PluggableDatabase
The average global cache CR (consistent-read) block receive time. For RAC / cluster databases only.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/block_changes GA(project)
DB Block Changes
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The average number of blocks changed per second.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/blocking_sessions GA(project)
Blocking Sessions
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
Current blocking sessions. Not applicable for container databases.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
pluggabledatabase/cpu_time GA(project)
CPU Time
GAUGEDOUBLEs
oracledatabase.googleapis.com/PluggableDatabase
The average rate of accumulation of CPU time by foreground sessions in the database instance over the time interval. The CPU time component of Average Active Sessions.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/cpu_utilization GA(project)
CPU Utilization
GAUGEDOUBLE%
oracledatabase.googleapis.com/PluggableDatabase
The CPU utilization expressed as a percentage, aggregated across all consumer groups. The utilization percentage is reported with respect to the number of CPUs the database is allowed to use, which is two times the number of OCPUs.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/cpus GA(project)
CPU Count
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The number of CPUs during the selected interval.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/current_logons GA(project)
Current Logons
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The number of successful logons during the selected interval.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/db_mgmt_job_executions GA(project)
Job Executions
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The number of SQL job executions on a single managed database or a database group, and their status.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
managed_database_id: Managed database identifier.
managed_database_group_id: Managed database group identifier.
job_id: The identifier of the job.
status: Status of the job run.
pluggabledatabase/db_time GA(project)
DB Time
GAUGEDOUBLEs
oracledatabase.googleapis.com/PluggableDatabase
The average rate of accumulation of database time (CPU + Wait) by foreground sessions in the database instance over the time interval. Also known as Average Active Sessions.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/executions GA(project)
Execute Count
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The number of user and recursive calls that executed SQL statements during the selected interval.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/fra_space_limit GA(project)
Flash Recovery Area Limit
GAUGEDOUBLEGBy
oracledatabase.googleapis.com/PluggableDatabase
The flash recovery area space limit. Not applicable for pluggable databases.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
resource_type: Type of the database resource.
pluggabledatabase/fra_utilization GA(project)
Flash Recovery Area Utilization
GAUGEDOUBLE%
oracledatabase.googleapis.com/PluggableDatabase
The flash recovery area utilization. Not applicable for pluggable databases.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
resource_type: Type of the database resource.
pluggabledatabase/gc_current_blocks_received GA(project)
GC Current Blocks Received
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
Represents global cache current blocks received per second. Statistic reports the mean value. For Real Application Cluster (RAC) databases only.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/gccr_blocks_received GA(project)
GC CR Blocks Received
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The global cache CR (consistent-read) blocks received per second. For RAC / cluster databases only.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/interconnect_traffic GA(project)
Average Interconnect Traffic
GAUGEDOUBLEMBy
oracledatabase.googleapis.com/PluggableDatabase
The average internode data transfer rate. For RAC / cluster databases only.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/invalid_objects GA(project)
Invalid Objects
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
Invalid database objects count. Not applicable for container databases.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
pluggabledatabase/io_throughput GA(project)
IO Throughput
GAUGEDOUBLEMBy
oracledatabase.googleapis.com/PluggableDatabase
The average throughput in MB per second.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
io_type: Type of IO.
pluggabledatabase/iops GA(project)
IOPS
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The average number of input-output operations per second.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
io_type: Type of IO.
pluggabledatabase/logical_blocks_read GA(project)
Logical Reads
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The average number of blocks read from SGA/Memory (buffer cache) per second.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/max_tablespace_size GA(project)
Max Tablespace Size
GAUGEDOUBLEGBy
oracledatabase.googleapis.com/PluggableDatabase
The maximum possible tablespace size. For container databases, this metric provides data for root container tablespaces.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
tablespace_name: Name of the tablespace.
tablespace_contents: Tablespace contents.
resource_type: Type of the database resource.
pluggabledatabase/memory_usage GA(project)
Memory Usage
GAUGEDOUBLEMBy
oracledatabase.googleapis.com/PluggableDatabase
Memory pool total size in MB.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
memory_type: Type of memory.
memory_pool: Memory pool.
resource_type: Type of the database resource.
pluggabledatabase/monitoring_status GA(project)
Monitoring Status
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The monitoring status of the resource. If a metric collection fails, error information is captured in this metric.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
collection_name: Collection name.
resource_type: Type of the database resource.
error_severity: Severity of the error.
error_code: Error code.
pluggabledatabase/non_reclaimable_fra GA(project)
Non Reclaimable Fast Recovery Area
GAUGEDOUBLE%
oracledatabase.googleapis.com/PluggableDatabase
The Non-reclaimable fast recovery area. Not applicable for pluggable databases.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
resource_type: Type of the database resource.
pluggabledatabase/ocpus_allocated GA(project)
OCPU Allocated
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The actual number of OCPUs allocated by the service during the selected interval of time.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
pluggabledatabase/parses GA(project)
Parse Count (Total)
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The number of hard and soft parses during the selected interval.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/parses_by_type GA(project)
Parses By Type
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The number of hard or soft parses per second.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
parse_type: Parse type.
pluggabledatabase/problematic_scheduled_dbms_jobs GA(project)
Problematic Scheduled DBMS Jobs
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The problematic scheduled database jobs count. Not applicable for container databases.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
resource_type: Type of the database resource.
pluggabledatabase/process_limit_utilization GA(project)
Process Limit Utilization
GAUGEDOUBLE%
oracledatabase.googleapis.com/PluggableDatabase
The process limit utilization. Not applicable for pluggable databases.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/processes GA(project)
Process Count
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The database processes count. Not applicable for pluggable databases.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/reclaimable_fra_space GA(project)
Flash Recovery Area Reclaimable Space
GAUGEDOUBLEGBy
oracledatabase.googleapis.com/PluggableDatabase
The flash recovery area reclaimable space. Not applicable for pluggable databases.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
resource_type: Type of the database resource.
pluggabledatabase/recoverable_fra GA(project)
Reclaimable Fast Recovery Area
GAUGEDOUBLE%
oracledatabase.googleapis.com/PluggableDatabase
The reclaimable fast recovery area. Not applicable for pluggable databases.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
resource_type: Type of the database resource.
pluggabledatabase/redo_size GA(project)
Redo Generated
GAUGEDOUBLEMBy
oracledatabase.googleapis.com/PluggableDatabase
The average amount of redo generated, in MB per second.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/session_limit_utilization GA(project)
Session Limit Utilization
GAUGEDOUBLE%
oracledatabase.googleapis.com/PluggableDatabase
The session limit utilization. Not applicable for pluggable databases.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/sessions GA(project)
Sessions
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The number of sessions in the database.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/storage_allocated GA(project)
Allocated Storage Space
GAUGEDOUBLEGBy
oracledatabase.googleapis.com/PluggableDatabase
The maximum amount of space allocated by tablespace during the interval. For container databases, this metric provides data for root container tablespaces.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
resource_type: Type of the database resource.
pluggabledatabase/storage_allocated_by_tablespace GA(project)
Allocated Storage Space By Tablespace
GAUGEDOUBLEGBy
oracledatabase.googleapis.com/PluggableDatabase
The maximum amount of space allocated by tablespace during the interval. For container databases, this metric provides data for root container tablespaces.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
tablespace_name: Name of the tablespace.
tablespace_contents: Tablespace contents.
resource_type: Type of the database resource.
pluggabledatabase/storage_used GA(project)
Storage Space Used
GAUGEDOUBLEGBy
oracledatabase.googleapis.com/PluggableDatabase
The maximum amount of space used during the interval.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
resource_type: Type of the database resource.
pluggabledatabase/storage_used_by_tablespace GA(project)
Storage Space Used By Tablespace
GAUGEDOUBLEGBy
oracledatabase.googleapis.com/PluggableDatabase
The maximum amount of space used by tablespace during the interval. For container databases, this metric provides data for root container tablespaces.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
tablespace_name: Name of the tablespace.
tablespace_contents: Tablespace contents.
resource_type: Type of the database resource.
pluggabledatabase/storage_utilization GA(project)
Storage Utilization
GAUGEDOUBLE%
oracledatabase.googleapis.com/PluggableDatabase
The percentage of provisioned storage capacity currently in use. Represents the total allocated space for all tablespaces.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
resource_type: Type of the database resource.
pluggabledatabase/storage_utilization_by_tablespace GA(project)
Storage Space Utilization By Tablespace
GAUGEDOUBLE%
oracledatabase.googleapis.com/PluggableDatabase
The percentage of the space utilized, by tablespace. For container databases, this metric provides data for root container tablespaces.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
tablespace_name: Name of the tablespace.
tablespace_contents: Tablespace contents.
resource_type: Type of the database resource.
pluggabledatabase/transactions GA(project)
Transaction Count
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The combined number of user commits and user rollbacks during the selected interval.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/transactions_by_status GA(project)
Transactions By Status
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The number of committed or rolled back transactions per second.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
transaction_status: Transaction status.
pluggabledatabase/unusable_indexes GA(project)
Unusable Indexes
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
Unusable indexes count in database schema. Not applicable for container databases.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
schema_name: Schema name.
pluggabledatabase/usable_fra GA(project)
Usable Fast Recovery Area
GAUGEDOUBLE%
oracledatabase.googleapis.com/PluggableDatabase
The useable fast recovery area. Not applicable for pluggable databases.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
resource_type: Type of the database resource.
pluggabledatabase/used_fra_space GA(project)
Flash Recovery Area Usage
GAUGEDOUBLEGBy
oracledatabase.googleapis.com/PluggableDatabase
The flash recovery area space usage. Not applicable for pluggable databases.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
resource_type: Type of the database resource.
pluggabledatabase/user_calls GA(project)
User Calls
GAUGEDOUBLE1
oracledatabase.googleapis.com/PluggableDatabase
The combined number of logons, parses, and execute calls during the selected interval.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
pluggabledatabase/wait_time GA(project)
Wait Time
GAUGEDOUBLEs
oracledatabase.googleapis.com/PluggableDatabase
The average rate of accumulation of non-idle wait time by foreground sessions in the database instance over the time interval. The wait time component of Average Active Sessions.
resource_id: OCID, Oracle cloud Resource identifier.
deployment_type: Deployment type of CloudVmCluster node.
instance_number: Instance number.
instance_name: Name of the instance.
hostname: Hostname of VM cluster node.
resource_type: Type of the database resource.
wait_class: Wait class.
swap_utilization GA(project)
Swap Utilization
GAUGEDOUBLE%
oracledatabase.googleapis.com/CloudVmCluster
Percent utilization of total swap space.
hostname: Hostname of VM cluster node.
deployment_type: Deployment type of CloudVmCluster node.
dbnode_resource_id: Resource identifier of the dbnode.
resource_id: OCID, Oracle cloud Resource identifier.

osconfig

Metrics from VM Manager. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with osconfig.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
patch/job/instance_state GA(project)
VM instance patch state
GAUGEINT641
osconfig.googleapis.com/PatchJob
The number of VM instances that have patch jobs in a specific state.
state: The state of a patch job that is running on a VM instance. The following states are available: "PENDING", "STARTED", "APPLYING_PATCHES", "SUCCEEDED", "FAILED".

parallelstore

Metrics from Parallelstore. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with parallelstore.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
instance/available_capacity_bytes BETA(project)
Available capacity in bytes
GAUGEINT64By
parallelstore.googleapis.com/Instance
Available storage in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
rank: Server ID within the System.
target: The ID of the DAOS target on the server.
instance/read_ops_count BETA(project)
Read operation count
DELTAINT64{operation}
parallelstore.googleapis.com/Instance
The number of read/fetch RPC processed. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
rank: Server ID within the System.
target: The ID of the DAOS target on the server.
instance/total_capacity_bytes BETA(project)
Total capacity (bytes)
GAUGEINT64By
parallelstore.googleapis.com/Instance
The total amount of usable storage in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
rank: Server ID within the System.
target: The ID of the DAOS target on the server.
instance/transferred_byte_count BETA(project)
Transferred byte count
DELTAINT64By
parallelstore.googleapis.com/Instance
Number of bytes read or written. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
operation_type: Operation type, one of [fetch, update].
rank: Server ID within the System.
target: The ID of the DAOS target on the server.
instance/used_capacity_bytes BETA(project)
Used capacity in bytes
GAUGEINT64By
parallelstore.googleapis.com/Instance
Used storage in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
rank: Server ID within the System.
target: The ID of the DAOS target on the server.
instance/write_ops_count BETA(project)
Write operation count
DELTAINT64{operation}
parallelstore.googleapis.com/Instance
The number of write/update RPC processed. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
rank: Server ID within the System.
target: The ID of the DAOS target on the server.

privateca

Metrics from Certificate Authority Service. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with privateca.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
ca/cert/ca_cert_creation GA(project)
CA certificate creation count
DELTAINT641
privateca.googleapis.com/CertificateAuthority
The number of certificates issued by a CA with CA:TRUE. Sampled every 60 seconds.
ca/cert/create_count GA(project)
Certificate creation count
DELTAINT641
privateca.googleapis.com/CertificateAuthority
The number of certificates issued by a CA. Sampled every 60 seconds.
ca/cert/create_failure_count GA(project)
Certificate creation CA policy error count
DELTAINT641
privateca.googleapis.com/CertificateAuthority
The number of certificate creation failures. Sampled every 60 seconds.
reason: The failure reason, such as VALIDATION or POLICY.
error_detail: The detailed reason that caused the failure.
ca/cert/create_request_count GA(project)
Certificate creation request count
DELTAINT641
privateca.googleapis.com/CertificateAuthority
The number of certificate creation requests per CA. Sampled every 60 seconds.
ca/cert_chain_expiration GA(project)
CA certificate chain expiration
GAUGEINT64s
privateca.googleapis.com/CertificateAuthority
Time (in seconds) until each CA certificate parent expires. Sampled every 3600 seconds.
cert_subject_key_id: Subject key ID (SKID) of the CA certificate.
ca/cert_expiration GA(project)
CA certificate expiration
GAUGEINT64s
privateca.googleapis.com/CertificateAuthority
Time (in seconds) until the CA certificate expires. Sampled every 3600 seconds.
ca/cert_revoked GA(project)
CA revocation status
GAUGEBOOL
privateca.googleapis.com/CertificateAuthority
The CA certificate has been revoked. Value is true when revoked. Sampled every 3600 seconds.
status: REVOKED when the value is true. When false, possible values are NOT_REVOKED, or REVOCATION_STATUS_UNKNOWN if the CRL is inaccessible.
ca/resource_state GA(project)
CA resource state
GAUGEBOOL
privateca.googleapis.com/CertificateAuthority
State of the certificate authority. Value is true when enabled, false otherwise. Sampled every 3600 seconds.
state: State of CA, such as "ENABLED" or "DISABLED".
gcs/bucket_issue GA(project)
Cloud Storage bucket issue
GAUGEBOOL
privateca.googleapis.com/CertificateAuthority
Errors for Cloud Storage buckets. Value is false when OK, true when there are issues. Sampled every 3600 seconds.
status: Status of the Storage bucket, such as "OK", "PERMISSION_DENIED" or "DELETED".
kms/key_issue GA(project)
Cloud KMS key issue
GAUGEBOOL
privateca.googleapis.com/CertificateAuthority
Errors for Cloud KMS signing keys. Value is false when OK, true when there are issues. Sampled every 3600 seconds.
status: Status of the KMS key, such as "OK", "PERMISSION_DENIED" or "DESTROYED".

pubsub

Metrics from Pub/Sub. For more information, see Pub/Sub monitoring. Launch stages of these metrics: ALPHA BETA GA

The "metric type" strings in this table must be prefixed with pubsub.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
snapshot/backlog_bytes GA(project)
Snapshot backlog bytes
GAUGEINT64By
pubsub_snapshot
Total byte size of the messages retained in a snapshot. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
snapshot/backlog_bytes_by_region GA(project)
Snapshot backlog bytes by region
GAUGEINT64By
pubsub_snapshot
Total byte size of the messages retained in a snapshot, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
snapshot/config_updates_count GA(project)
Snapshot configuration operations
DELTAINT641
pubsub_snapshot
Cumulative count of configuration operations, grouped by operation type and result. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
operation_type: Type of operation performed.
snapshot/num_messages GA(project)
Snapshot messages
GAUGEINT641
pubsub_snapshot
Number of messages retained in a snapshot. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
snapshot/num_messages_by_region GA(project)
Snapshot messages by region
GAUGEINT641
pubsub_snapshot
Number of messages retained in a snapshot, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
snapshot/oldest_message_age GA(project)
Oldest snapshot message age
GAUGEINT64s
pubsub_snapshot
Age (in seconds) of the oldest message retained in a snapshot. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
snapshot/oldest_message_age_by_region GA(project)
Oldest snapshot message age by region
GAUGEINT64s
pubsub_snapshot
Age (in seconds) of the oldest message retained in a snapshot, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
subscription/ack_latencies GA(project)
Ack latency
DELTADISTRIBUTIONms
pubsub_subscription
Distribution of ack latencies in milliseconds. The ack latency is the time between when Cloud Pub/Sub sends a message to a subscriber client and when Cloud Pub/Sub receives an Acknowledge request for that message. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
delivery_type: Delivery mechanism: push, pull or streaming pull.
subscription/ack_message_count GA(project)
Ack message count
DELTAINT641
pubsub_subscription
Cumulative count of messages acknowledged by Acknowledge requests, grouped by delivery type. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
delivery_type: Delivery mechanism: push, pull, streaming pull, or filter.
subscription/backlog_bytes GA(project)
Backlog size
GAUGEINT64By
pubsub_subscription
Total byte size of the unacknowledged messages (a.k.a. backlog messages) in a subscription. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
subscription/billable_bytes_by_region BETA(project)
Billable bytes by region
GAUGEINT64By
pubsub_subscription
Total byte size of the billable messages in a subscription, broken down by Cloud region and type. Please refer to https://cloud.google.com/pubsub/pricing#storage_costs to understand the pricing for retaining unacknowledged messages in subscriptions for more than 24 hours. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
type: The type of billable backlog (unacked messages or retained acked messages).
subscription/byte_cost GA(project)
Subscription byte cost
DELTAINT64By
pubsub_subscription
Cumulative cost of operations, measured in bytes. This is used to measure quota utilization. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
operation_type: Type of operation performed.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
subscription/config_updates_count GA(project)
Subscription configuration operations
DELTAINT641
pubsub_subscription
Cumulative count of configuration operations for each subscription, grouped by operation type and result. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
operation_type: Type of operation performed.
subscription/dead_letter_message_count GA(project)
Dead letter message count
DELTAINT641
pubsub_subscription
Cumulative count of messages published to dead letter topic, grouped by result. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
subscription/delivery_latency_health_score BETA(project)
Delivery latency health score
GAUGEBOOL1
pubsub_subscription
A score that measures the health of a subscription over a 10 minute rolling window. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
criteria: Criteria of the health score. Possible values are ack_latency, expired_ack_deadlines, nack_requests, seek_requests, and utilization.
subscription/exactly_once_warning_count BETA(project)
Exactly once delivery warning
DELTAINT641
pubsub_subscription
Count of instances (acks and modacks that may have failed) that may lead to message redeliveries. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
delivery_type: Delivery mechanism: push, pull or streaming pull.
reason: Cause of the possible redelivery.
operation_type: Type of operation performed. One of [ack, modack].
subscription/expired_ack_deadlines_count BETA(project)
Expired ack deadlines count
DELTAINT641
pubsub_subscription
Cumulative count of messages whose ack deadline expired while the message was outstanding to a subscriber client. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
delivery_type: Delivery mechanism: push, pull or streaming pull.
subscription/export_push_subscription_details BETA(project)
Export push subscription details
GAUGEINT641
pubsub_subscription
Type and state of the export push subscription. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
subscription_state: State of the export push subscription.
subscription_type: Export push subscription type.
subscription/mod_ack_deadline_message_count GA(project)
Mod ack deadline message count
DELTAINT641
pubsub_subscription
Cumulative count of messages whose deadline was updated by ModifyAckDeadline requests, grouped by delivery type. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
delivery_type: Delivery mechanism: push, pull or streaming pull.
subscription/mod_ack_deadline_message_operation_count DEPRECATED(project)
ModifyAckDeadline message operations
DELTAINT641
pubsub_subscription
Cumulative count of ModifyAckDeadline message operations, grouped by result. This metric is deprecated. Use subscription/mod_ack_deadline_request_count instead. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
subscription/mod_ack_deadline_request_count GA(project)
ModifyAckDeadline requests
DELTAINT641
pubsub_subscription
Cumulative count of ModifyAckDeadline requests, grouped by result. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_class: A classification group for the response code. It can be one of ['success', 'invalid', 'internal'].
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
subscription/mod_ack_latencies BETA(project)
ModAck latency
DELTADISTRIBUTIONms
pubsub_subscription
Distribution of ModAck latencies. For each message delivery attempt, the ModAck latency is the duration between when the CPS service delivers the message to a subscriber client and when the CPS service receives a ModAck request for that message (note that this means this metric may be recorded multiple times per delivery attempt). If this metric is growing, it indicates that the subscriber is repeatedly extending the acknowledgement deadline for a message (i.e., it is holding on to that message). Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
delivery_type: Delivery mechanism, one of [push, pull, streaming pull].
subscription/nack_requests BETA(project)
Nack requests
GAUGEINT641
pubsub_subscription
Cumulative count of messages that were nacked. One message nacked multiple times will be counted multiple times. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
delivery_type: Delivery mechanism: push, pull or streaming pull.
subscription/num_outstanding_messages GA(project)
Outstanding push messages
GAUGEINT641
pubsub_subscription
Number of messages delivered to a subscription's push endpoint, but not yet acknowledged. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
subscription/num_retained_acked_messages ALPHA(project)
Retained acked messages
GAUGEINT641
pubsub_subscription
Number of acknowledged messages retained in a subscription. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
subscription/num_retained_acked_messages_by_region BETA(project)
Retained acked messages by region
GAUGEINT641
pubsub_subscription
Number of acknowledged messages retained in a subscription, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
subscription/num_unacked_messages_by_region BETA(project)
Unacked messages by region
GAUGEINT641
pubsub_subscription
Number of unacknowledged messages in a subscription, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
subscription/num_undelivered_messages GA(project)
Unacked messages
GAUGEINT641
pubsub_subscription
Number of unacknowledged messages (a.k.a. backlog messages) in a subscription. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
subscription/oldest_retained_acked_message_age GA(project)
Oldest retained acked message age
GAUGEINT64s
pubsub_subscription
Age (in seconds) of the oldest acknowledged message retained in a subscription. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
subscription/oldest_retained_acked_message_age_by_region GA(project)
Oldest retained acked message age by region
GAUGEINT64s
pubsub_subscription
Age (in seconds) of the oldest acknowledged message retained in a subscription, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
subscription/oldest_unacked_message_age GA(project)
Oldest unacked message age
GAUGEINT64s
pubsub_subscription
Age (in seconds) of the oldest unacknowledged message (a.k.a. backlog message) in a subscription. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
subscription/oldest_unacked_message_age_by_region GA(project)
Oldest unacked message age by region
GAUGEINT64s
pubsub_subscription
Age (in seconds) of the oldest unacknowledged message in a subscription, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
subscription/open_streaming_pulls BETA(project)
Number of open streaming pulls
GAUGEINT641
pubsub_subscription
Number of open StreamingPull streams per subscription, grouped by status. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
status: Status of the stream, for example, 'ok', 'suspended_subscriber_quota_exceeded' when subscriber throughput quota limits are exceeded, or 'suspended_client_flow_controlled' when flow control is initiated by the client.
subscription/pull_ack_message_operation_count DEPRECATED(project)
Acknowledge message operations
DELTAINT641
pubsub_subscription
Cumulative count of acknowledge message operations, grouped by result. This metric is deprecated. Use subscription/pull_ack_request_count instead. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
subscription/pull_ack_request_count GA(project)
Acknowledge requests
DELTAINT641
pubsub_subscription
Cumulative count of acknowledge requests, grouped by result. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_class: A classification group for the response code. It can be one of ['success', 'invalid', 'internal'].
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
subscription/pull_message_operation_count DEPRECATED(project)
Pull operations
DELTAINT641
pubsub_subscription
Cumulative count of pull message operations, grouped by result. This metric is deprecated. Use subscription/pull_request_count instead. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
subscription/pull_request_count GA(project)
Pull requests
DELTAINT641
pubsub_subscription
Cumulative count of pull requests, grouped by result. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_class: A classification group for the response code. It can be one of ['success', 'invalid', 'internal'].
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
subscription/push_request_count GA(project)
Push requests
DELTAINT641
pubsub_subscription
Cumulative count of push attempts, grouped by result. Unlike pulls, the push server implementation does not batch user messages. So each request only contains one user message. The push server retries on errors, so a given user message can appear multiple times. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_class: A classification group for the response code. It can be one of ['ack', 'deadline_exceeded', 'internal', 'invalid', 'remote_server_4xx', 'remote_server_5xx', 'unreachable'].
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
delivery_type: Push delivery mechanism.
subscription/push_request_latencies GA(project)
Push latency
DELTADISTRIBUTIONus
pubsub_subscription
Distribution of push request latencies (in microseconds), grouped by result. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
delivery_type: Push delivery mechanism.
subscription/retained_acked_bytes GA(project)
Retained acked bytes
GAUGEINT64By
pubsub_subscription
Total byte size of the acknowledged messages retained in a subscription. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
subscription/retained_acked_bytes_by_region GA(project)
Retained acked bytes by region
GAUGEINT64By
pubsub_subscription
Total byte size of the acknowledged messages retained in a subscription, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
subscription/seek_request_count GA(project)
Seek requests
DELTAINT641
pubsub_subscription
Cumulative count of seek attempts, grouped by result. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
subscription/sent_message_count GA(project)
Sent message count
DELTAINT641
pubsub_subscription
Cumulative count of messages sent by Cloud Pub/Sub to subscriber clients, grouped by delivery type. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
delivery_type: Delivery mechanism: push, pull or streaming pull.
subscription/streaming_pull_ack_message_operation_count DEPRECATED(project)
StreamingPull Acknowledge message operations
DELTAINT641
pubsub_subscription
Cumulative count of StreamingPull acknowledge message operations, grouped by result. This metric is deprecated. Use subscription/streaming_pull_ack_request_count instead. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'unavailable').
subscription/streaming_pull_ack_request_count GA(project)
StreamingPull Acknowledge requests
DELTAINT641
pubsub_subscription
Cumulative count of streaming pull requests with non-empty acknowledge ids, grouped by result. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_class: A classification group for the response code. It can be one of ['success', 'invalid', 'internal'].
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'unavailable').
subscription/streaming_pull_message_operation_count DEPRECATED(project)
StreamingPull message operations
DELTAINT641
pubsub_subscription
Cumulative count of streaming pull message operations, grouped by result. This metric is deprecated. Use subscription/streaming_pull_response_count instead. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'unavailable').
subscription/streaming_pull_mod_ack_deadline_message_operation_count DEPRECATED(project)
StreamingPull ModifyAckDeadline message operations
DELTAINT641
pubsub_subscription
Cumulative count of StreamingPull ModifyAckDeadline operations, grouped by result. This metric is deprecated. Use subscription/streaming_pull_mod_ack_deadline_request_count instead. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'unavailable').
subscription/streaming_pull_mod_ack_deadline_request_count GA(project)
StreamingPull ModifyAckDeadline requests
DELTAINT641
pubsub_subscription
Cumulative count of streaming pull requests with non-empty ModifyAckDeadline fields, grouped by result. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_class: A classification group for the response code. It can be one of ['success', 'invalid', 'internal'].
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'unavailable').
subscription/streaming_pull_response_count GA(project)
StreamingPull responses
DELTAINT641
pubsub_subscription
Cumulative count of streaming pull responses, grouped by result. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_class: A classification group for the response code. It can be one of ['success', 'invalid', 'internal'].
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'unavailable').
subscription/unacked_bytes_by_region GA(project)
Unacked bytes by region
GAUGEINT64By
pubsub_subscription
Total byte size of the unacknowledged messages in a subscription, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
topic/byte_cost GA(project)
Topic byte cost
DELTAINT64By
pubsub_topic
Cost of operations, measured in bytes. This is used to measure utilization for quotas. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
operation_type: Type of operation performed.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
topic/config_updates_count GA(project)
Topic configuration operations
DELTAINT641
pubsub_topic
Cumulative count of configuration operations, grouped by operation type and result. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
operation_type: Type of operation performed.
topic/ingestion_byte_count BETA(project)
Ingestion byte count
DELTAINT64By
pubsub_topic
Byte count of ingested messages per ingestion source type and import partition (e.g. AWS Kinesis shard id). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
source_type: Ingestion data source type.
source_name: Ingestion data source name.
import_partition: Import partition of the ingestion source, if applicable.
topic/ingestion_data_source_state BETA(project)
Ingestion data source state
GAUGEINT641
pubsub_topic
State of the ingestion data source per ingestion source type. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
source_type: Ingestion data source type.
source_name: Ingestion data source name.
state: State of the ingestion source.
topic/ingestion_failure_count BETA(project)
Ingestion failure count
DELTAINT641
pubsub_topic
Number of errors encountered when ingesting data per ingestion source type, source name, import partition, and reason for error. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
source_type: Ingestion data source type.
source_name: Ingestion data source name.
import_partition: Import partition of the ingestion source, if applicable.
reason: Reason for ingestion failure.
topic/ingestion_message_count BETA(project)
Ingestion message count
DELTAINT641
pubsub_topic
Number of ingested messages per ingestion source type and import partition (e.g. AWS Kinesis shard id). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
source_type: Ingestion data source type.
source_name: Ingestion data source name.
import_partition: Import partition of the ingestion source, if applicable.
topic/message_sizes GA(project)
Publish message size
DELTADISTRIBUTIONBy
pubsub_topic
Distribution of publish message sizes (in bytes). Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
topic/num_retained_acked_messages_by_region BETA(project)
Retained acked messages by region
GAUGEINT641
pubsub_topic
Number of acknowledged messages retained across all subscriptions and snapshots attached to the topic, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
topic/num_retained_messages BETA(project)
Retained messages
GAUGEINT641
pubsub_topic
Number of messages retained in a topic. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
topic/num_unacked_messages_by_region BETA(project)
Unacked messages by region
GAUGEINT641
pubsub_topic
Number of unacknowledged messages across all subscriptions and snapshots attached to a topic, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
topic/oldest_retained_acked_message_age_by_region GA(project)
Oldest retained acked message age by region
GAUGEINT64s
pubsub_topic
Age (in seconds) of the oldest acknowledged message retained across all subscriptions and snapshots attached to a topic, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
topic/oldest_retained_message_age BETA(project)
Oldest retained message age
GAUGEINT64s
pubsub_topic
Age (in seconds) of the oldest message retained in a topic. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
topic/oldest_unacked_message_age_by_region GA(project)
Oldest unacked message age by region
GAUGEINT64s
pubsub_topic
Age (in seconds) of the oldest unacknowledged message across all subscriptions and snapshots attached to a topic, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
topic/retained_acked_bytes_by_region GA(project)
Retained acked bytes by region
GAUGEINT64By
pubsub_topic
Total byte size of the acknowledged messages retained across all subscriptions and snapshots attached to a topic, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.
topic/retained_bytes BETA(project)
Retained bytes
GAUGEINT64By
pubsub_topic
Total byte size of the messages retained in a topic. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
topic/schema_validation_latencies BETA(project)
Schema validation latency
DELTADISTRIBUTIONms
pubsub_topic
Distribution of schema validation latencies in milliseconds. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
schema_name_with_revision_id: The schema name with revision id such as 'my-schema@0a0b0c0d' - on success, or 'my-schema@unknown' - on failure).
status: String representation of a status code such as 'ok', 'invalid_argument', or 'unavailable'.
topic/send_message_operation_count DEPRECATED(project)
Publish message operations
DELTAINT641
pubsub_topic
Cumulative count of publish message operations, grouped by result. This metric is deprecated. Apply a count aggregator on topic/message_sizes instead. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
topic/send_request_count GA(project)
Publish requests
DELTAINT641
pubsub_topic
Cumulative count of publish requests, grouped by result. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_class: A classification group for the response code. It can be one of ['success', 'invalid', 'internal'].
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'success', 'not_found', 'unavailable').
topic/send_request_latencies BETA(project)
Publish request latency
DELTADISTRIBUTIONus
pubsub_topic
Distribution of publish request latencies in microseconds. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_code: Operation response code string, derived as a string representation of a status code, for example, 'success', 'not_found', 'unavailable').
has_ordering: (BOOL) Whether or not the publish contained ordering keys.
schema_type: The schema type associated with the topic, one of ['proto','avro', none]
topic/unacked_bytes_by_region GA(project)
Unacked bytes by region
GAUGEINT64By
pubsub_topic
Total byte size of the unacknowledged messages across all subscriptions and snapshots attached to the topic, broken down by Cloud region. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
region: The Cloud region in which messages are persisted.

pubsublite

Metrics from Pub/Sub Lite. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with pubsublite.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
reservation/throughput_capacity/limit BETA(project)
Reservation throughput capacity limit
GAUGEINT641
pubsublite_reservation
The current configured throughput capacity of this reservation. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
reservation/throughput_capacity/usage BETA(project)
Reservation throughput capacity usage
DELTADOUBLE1
pubsublite_reservation
Usage of reservation throughput capacity by kind of usage. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
kind: Usage kind, one of ["ZONAL_PUBLISH" - publishing to zonal topics; "ZONAL_SUBSCRIBE" - subscribing to zonal topics].
reservation/throughput_capacity/utilization BETA(project)
Reservation throughput capacity utilization ratio
GAUGEDOUBLE10^2.%
pubsublite_reservation
The ratio of the rate of throughput capacity usage to available throughput capacity. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
kind: Usage kind, one of ["ZONAL_PUBLISH" - publishing to zonal topics; "ZONAL_SUBSCRIBE" - subscribing to zonal topics].
subscription/backlog_message_count GA(project)
Backlog message count
GAUGEINT641
pubsublite_subscription_partition
Total number of the unacknowledged messages (a.k.a. backlog messages) for a subscription in a given topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
subscription/backlog_quota_bytes GA(project)
Backlog quota bytes
GAUGEINT64By
pubsublite_subscription_partition
Total quota byte size of the unacknowledged messages (a.k.a. backlog messages) for a subscription in a given topic partition.. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
subscription/export_status BETA(project)
Subscription export status
GAUGEBOOL
pubsublite_subscription_partition
The status of an export subscription in a given topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
status: Status of the export, such as "ACTIVE", "PAUSED", "NOT_FOUND" or "PERMISSION_DENIED".
subscription/flow_control_status BETA(project)
Subscription flow control
GAUGEDOUBLE10^2.%
pubsublite_subscription_partition
Fraction of time spent in each flow control state. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
state: Flow control state, one of ["NO_CLIENT_TOKENS" - indicates that the per-partition limit of outstanding bytes or messages has been reached; "NO_PARTITION_CAPACITY" - indicates that the per-partition subscribe throughput limit has been reached; "NO_RESERVATION_CAPACITY" - indicates that the per-reservation throughput limit has been reached; "NOT_FLOW_CONTROLLED" - indicates that the subscriber is not flow-controlled].
subscription/oldest_unacked_message_age GA(project)
Oldest unacked message age
GAUGEINT64s
pubsublite_subscription_partition
Age (in seconds) of the oldest unacknowledged message retained for a subscription in a given topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
subscription/sent_message_count GA(project)
Subscription sent message count
DELTAINT641
pubsublite_subscription_partition
Count of messages sent to subscribers for a subscription in a given topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
subscription/sent_quota_bytes GA(project)
Subscription sent quota bytes
DELTAINT64By
pubsublite_subscription_partition
Quota byte size of messages sent to subscribers for a subscription in a given topic partition. See https://cloud.google.com/pubsub/lite/quotas#resource_quotas for quota byte calculation. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
subscription/sent_raw_bytes GA(project)
Subscription sent raw bytes
DELTAINT64By
pubsublite_subscription_partition
Byte size of messages sent to subscribers for a subscription in a given topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
subscription/unexportable_message_count BETA(project)
Subscription unexportable message count
DELTAINT641
pubsublite_subscription_partition
Count of messages that cannot be exported to the destination for an export subscription in a given topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
reason: Reason why a message is unexportable, one of ["INCOMPATIBLE" - violates constraints of the export destination; "OVERSIZED" - exceeds size limits for the export destination].
topic/flow_control_status BETA(project)
Topic publish flow control
GAUGEDOUBLE10^2.%
pubsublite_topic_partition
Fraction of time spent in each flow control state. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
state: Flow control state, one of ["NO_PARTITION_CAPACITY" - indicates that the per-partition subscribe throughput limit has been reached; "NO_RESERVATION_CAPACITY" - indicates that the per-reservation throughput limit has been reached; "NOT_FLOW_CONTROLLED" - indicates that the subscriber is not flow-controlled].
topic/oldest_retained_message_age GA(project)
Oldest retained message age
GAUGEINT64s
pubsublite_topic_partition
Age (in seconds) of the oldest message retained in a topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
topic/publish_message_count GA(project)
Publish message count
DELTAINT641
pubsublite_topic_partition
Count of messages published to a topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
topic/publish_quota_byte_limit GA(project)
Publish quota byte limit
GAUGEINT64By
pubsublite_topic_partition
The maximum number of message bytes that can be published per second per topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
topic/publish_quota_bytes GA(project)
Publish quota bytes
DELTAINT64By
pubsublite_topic_partition
Quota byte size of messages published to a topic partition. See https://cloud.google.com/pubsub/lite/quotas#resource_quotas for quota byte calculation. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
topic/publish_quota_utilization GA(project)
Publish quota utilization ratio
GAUGEDOUBLE10^2.%
pubsublite_topic_partition
The ratio of the rate of message quota bytes that are being published to a partition to the rate that can be published per topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
topic/publish_raw_bytes GA(project)
Publish raw bytes
DELTAINT64By
pubsublite_topic_partition
Byte size of messages published to a topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
topic/publish_request_count GA(project)
Publish request count
DELTAINT641
pubsublite_topic_partition
Count of publish requests sent to a topic partition, broken down by response code. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
response_code: Operation response code string, derived as a string representation of a status code (e.g., 'OK', 'NOT_FOUND', 'UNAVAILABLE').
topic/sent_quota_bytes GA(project)
Topic sent quota bytes
DELTAINT64By
pubsublite_topic_partition
Quota byte size of messages sent to subscribers for a topic partition. See https://cloud.google.com/pubsub/lite/quotas#resource_quotas for quota byte calculation. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
topic/storage_quota_byte_limit GA(project)
Storage quota byte limit
GAUGEINT64By
pubsublite_topic_partition
The quota byte limit for message storage in a topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
topic/storage_quota_bytes GA(project)
Storage quota bytes
GAUGEINT64By
pubsublite_topic_partition
The current quota bytes of messages stored in a topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
topic/storage_quota_utilization GA(project)
Storage quota utilization ratio
GAUGEDOUBLE10^2.%
pubsublite_topic_partition
The ratio of the number of message quota bytes that are stored in a partition to the provisioned bytes that can be stored per topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
topic/subscribe_quota_byte_limit GA(project)
Subscribe quota byte limit
GAUGEINT64By
pubsublite_topic_partition
The maximum number of message bytes that can be received by subscribers per second per topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
topic/subscribe_quota_utilization GA(project)
Subscribe quota utilization ratio
GAUGEDOUBLE10^2.%
pubsublite_topic_partition
The ratio of the rate of message quota bytes that are sent to subscribers for a partition to the rate that can be received per topic partition. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.

recaptchaenterprise

Metrics from reCAPTCHA. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with recaptchaenterprise.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
account_defender_assessment_count BETA(project)
Account Defender assessments
DELTAINT641
recaptchaenterprise.googleapis.com/Key
Count of Account Defender assessments. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
label: The Account Defender label returned in the assessment, one of ["profile_match"; "suspicious_login_activity"; "suspicious_account_creation"; "related_accounts_number_high"; "" - empty string when no label is returned in the assessment].
assessment_count GA(project)
Token assessments
DELTAINT641
recaptchaenterprise.googleapis.com/Key
Total count of token assessments. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
token_status: Token assessment outcome. "valid" for valid token assessments, otherwise an InvalidReason will be given. One of [valid, invalid_reason_unspecified, unknown_invalid_reason, malformed, expired, dupe, missing, browser_error].
assessments GA(project)
Assessment request scores
DELTADISTRIBUTION1
recaptchaenterprise.googleapis.com/Key
Distribution of real-time assessment request scores for valid tokens. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
action: Action name provided at token generation.
platform: Client platform: "web", "android", or "ios".
challenge: For CHECKBOX or INVISIBLE keys, "challenge" or "nocaptcha".
executes GA(project)
Execute request scores
DELTADISTRIBUTION1
recaptchaenterprise.googleapis.com/Key
Distribution of execute request scores. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
action: Action name provided at token generation.
platform: Client platform. Examples include: "firefox", "ios".
express_assessments BETA(project)
Express Assessment request scores
DELTADISTRIBUTION1
recaptchaenterprise.googleapis.com/Key
Distribution of real-time express assessment request scores. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
score_counts DEPRECATED(project)
Score counts
DELTADISTRIBUTION1
recaptchaenterprise.googleapis.com/Key
Distribution of scores associated with a Key. Deprecated. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
action: Action name provided at token generation.
sms_toll_fraud_risks BETA(project)
SMS toll fraud risks
DELTADISTRIBUTION1
recaptchaenterprise.googleapis.com/Key
Distribution of SMS toll fraud risks. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
country_calling_code: The ITU E.164 country calling code for the phone number.
solution_count GA(project)
Captcha solution results
DELTAINT641
recaptchaenterprise.googleapis.com/Key
Counts of captcha solutions. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
challenge: Challenge result: "pass", "fail", or "nocaptcha".
platform: Client platform. Examples include: "firefox", "ios".

recommendationengine

Metrics from Recommendations. Launch stages of these metrics: EARLY_ACCESS

The "metric type" strings in this table must be prefixed with recommendationengine.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
event_store/processed_event_count EARLY_ACCESS(project)
Recommendation Processed Event Count
DELTAINT641
recommendationengine.googleapis.com/EventStore
The count of processed user event in given event store. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
event_type: Event type, see https://cloud.google.com/recommendations-ai/docs/user-events#user_event_types.
status: Status of event, should be joined or unjoined.

redis

Metrics from Memorystore for Redis. Launch stages of these metrics: ALPHA BETA GA

The "metric type" strings in this table must be prefixed with redis.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
clients/blocked GA(project)
Blocked Clients
GAUGEINT641
redis_instance
Number of blocked clients. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
clients/connected GA(project)
Connected Clients
GAUGEINT641
redis_instance
Number of client connections. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
cluster/clients/average_connected_clients GA(project)
Client connections - average
GAUGEINT641
redis.googleapis.com/Cluster
Mean current number of client connections across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/clients/maximum_connected_clients GA(project)
Client connections - maximum
GAUGEINT641
redis.googleapis.com/Cluster
Maximum current number of client connections across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/clients/total_connected_clients GA(project)
Client connections - total
GAUGEINT641
redis.googleapis.com/Cluster
Current number of client connections to the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/commandstats/total_calls_count GA(project)
Commands count
DELTAINT641
redis.googleapis.com/Cluster
Count of Redis commands. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
command: The command executed.
cluster/commandstats/total_usec_count GA(project)
Commands time
DELTAINT64us
redis.googleapis.com/Cluster
The total time consumed per command. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
command: The command executed.
cluster/cpu/average_utilization GA(project)
CPU utilization - average
GAUGEDOUBLE10^2.%
redis.googleapis.com/Cluster
Mean CPU utilization across the cluster from 0.0 to 1.0. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/cpu/maximum_utilization GA(project)
CPU utilization - maximum
GAUGEDOUBLE10^2.%
redis.googleapis.com/Cluster
Maximum CPU utilization across the cluster from 0.0 to 1.0. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/cross_cluster_replication/secondary_average_replication_offset_diff BETA(project)
Cross cluster replication average offset diff
GAUGEINT64By
redis.googleapis.com/Cluster
Average replication offset difference between primary shards and secondary shards. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
secondary_cluster_project_number: Secondary cluster project number.
secondary_cluster_location: Secondary cluster location.
secondary_cluster_id: Secondary cluster Id.
secondary_cluster_uid: Secondary cluster uid.
cluster/cross_cluster_replication/secondary_maximum_replication_offset_diff BETA(project)
Cross cluster replication maximum offset diff
GAUGEINT64By
redis.googleapis.com/Cluster
Maximum replication offset difference between primary shards and secondary shards. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
secondary_cluster_project_number: Secondary cluster project number.
secondary_cluster_location: Secondary cluster location.
secondary_cluster_id: Secondary cluster Id.
secondary_cluster_uid: Secondary cluster uid.
GAUGEINT641
redis.googleapis.com/Cluster
Number of replication links between a primary cluster and a secondary cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
secondary_cluster_project_number: Secondary cluster project number.
secondary_cluster_location: Secondary cluster location.
secondary_cluster_id: Secondary cluster Id.
secondary_cluster_uid: Secondary cluster uid.
cluster/keyspace/total_keys GA(project)
Total keys
GAUGEINT641
redis.googleapis.com/Cluster
Number of keys stored in the cluster instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/memory/average_utilization GA(project)
Memory utilization - average
GAUGEDOUBLE10^2.%
redis.googleapis.com/Cluster
Mean memory utilization across the cluster from 0.0 to 1.0. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/memory/maximum_utilization GA(project)
Memory utilization - maximum
GAUGEDOUBLE10^2.%
redis.googleapis.com/Cluster
Maximum memory utilization across the cluster from 0.0 to 1.0. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/memory/size GA(project)
Memory size
GAUGEINT64By
redis.googleapis.com/Cluster
Memory size of the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/memory/total_used_memory GA(project)
Memory usage
GAUGEINT64By
redis.googleapis.com/Cluster
Total memory usage of the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/node/clients/blocked_clients BETA(project)
Blocked connections
GAUGEINT641
redis.googleapis.com/ClusterNode
Number of client connections blocked by the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/clients/connected_clients BETA(project)
Client connections
GAUGEINT641
redis.googleapis.com/ClusterNode
Number of clients connected to the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/commandstats/calls_count BETA(project)
Commands count
DELTAINT641
redis.googleapis.com/ClusterNode
Total number of calls for this command on the cluster node in one minute. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
command: The command executed.
cluster/node/commandstats/usec_count BETA(project)
Commands time
DELTAINT64us
redis.googleapis.com/ClusterNode
The total time consumed per command in the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
command: The command executed.
cluster/node/cpu/utilization BETA(project)
CPU utilization
GAUGEDOUBLE10^2.%
redis.googleapis.com/ClusterNode
CPU utilization for the cluster node from 0.0 to 1.0. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
state: CPU usage state, one of [sys, sys_children, sys_main_thread, user, user_children, user_main_thread]
cluster/node/keyspace/total_keys BETA(project)
Total keys
GAUGEINT641
redis.googleapis.com/ClusterNode
Number of keys stored in the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/memory/usage BETA(project)
Memory usage
GAUGEINT64By
redis.googleapis.com/ClusterNode
Total memory usage of the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/memory/utilization BETA(project)
Memory utilization
GAUGEDOUBLE10^2.%
redis.googleapis.com/ClusterNode
Memory utilization within the cluster node from 0.0 to 1.0. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/persistence/aof_fsync_errors_count BETA(project)
AOF fsync errors count
DELTAINT641
redis.googleapis.com/ClusterNode
Count of AOF fsync errors on the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/persistence/aof_fsync_lag BETA(project)
AOF fsync lag
GAUGEINT64s
redis.googleapis.com/ClusterNode
AOF lag between memory and persistent store on the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/persistence/aof_last_bgrewrite_status BETA(project)
AOF last bgrewrite success
GAUGEBOOL1
redis.googleapis.com/ClusterNode
Indicates the success of the last AOF bgrewrite operation on the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
status_string: Status code description.
cluster/node/persistence/aof_last_write_status BETA(project)
AOF last write success
GAUGEBOOL1
redis.googleapis.com/ClusterNode
Indicates the success of the last AOF write operation on the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
status_string: Status code description.
cluster/node/persistence/aof_rewrites_count BETA(project)
AOF rewrites count
DELTAINT641
redis.googleapis.com/ClusterNode
AOF rewrites count on the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
status_code: (INT64) gRPC error code (e.g. 0=OK, 8=RESOURCE_EXHAUSTED, 13=INTERNAL)
status_string: Status code description.
cluster/node/persistence/auto_restore_count BETA(project)
Auto restore count
DELTAINT641
redis.googleapis.com/ClusterNode
Count of restores from dumpfile on the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
status_code: (INT64) gRPC error code (e.g. 0=OK, 13=INTERNAL)
status_string: Status code description.
persistence_mode: "AOF" or "RDB".
cluster/node/persistence/current_save_keys_total BETA(project)
Keys in current save
GAUGEINT641
redis.googleapis.com/ClusterNode
Number of keys at the beginning of the current save operation. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/persistence/rdb_bgsave_in_progress BETA(project)
RDB BGSAVE in progress
GAUGEBOOL1
redis.googleapis.com/ClusterNode
Indicates if a RDB BGSAVE is currently in progress on the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/persistence/rdb_last_bgsave_status BETA(project)
RDB last BGSAVE success
GAUGEBOOL1
redis.googleapis.com/ClusterNode
Indicates the success of the last BGSAVE on the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
status_string: Status code description.
cluster/node/persistence/rdb_last_save_age BETA(project)
RDB last save age
GAUGEINT64s
redis.googleapis.com/ClusterNode
Measures the time in seconds, since the last successful snapshot. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/persistence/rdb_next_save_time_until BETA(project)
Time until next RDB snapshot
GAUGEINT64s
redis.googleapis.com/ClusterNode
Measures the time in seconds, remaining until the next snapshot. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/persistence/rdb_saves_count BETA(project)
RDB saves count.
DELTAINT641
redis.googleapis.com/ClusterNode
Count of RDB saves in the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
status_code: (INT64) gRPC error code (e.g. 0=OK, 8=RESOURCE_EXHAUSTED, 13=INTERNAL)
status_string: Status code description.
cluster/node/replication/offset BETA(project)
Replication offset
GAUGEINT64By
redis.googleapis.com/ClusterNode
Measures the replication offset bytes of the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/server/uptime BETA(project)
Node uptime
GAUGEINT64s
redis.googleapis.com/ClusterNode
Measures the uptime of the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/stats/connections_received_count BETA(project)
Client connections - received
DELTAINT641
redis.googleapis.com/ClusterNode
Count of total client connections created in the last one minute on the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/stats/evicted_keys_count BETA(project)
Evicted keys
DELTAINT641
redis.googleapis.com/ClusterNode
Count of evicted keys by the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/stats/expired_keys_count BETA(project)
Expired keys
DELTAINT641
redis.googleapis.com/ClusterNode
Count of key expiration events in the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/stats/keyspace_hits_count BETA(project)
Keyspace hits
DELTAINT641
redis.googleapis.com/ClusterNode
Count of successful lookup of keys in the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/stats/keyspace_misses_count BETA(project)
Keyspace misses
DELTAINT641
redis.googleapis.com/ClusterNode
Count of failed lookup of keys in the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/stats/net_input_bytes_count BETA(project)
Network bytes - incoming
DELTAINT64By
redis.googleapis.com/ClusterNode
Count of incoming network bytes received by the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/stats/net_output_bytes_count BETA(project)
Network bytes - outgoing
DELTAINT64By
redis.googleapis.com/ClusterNode
Count of outgoing network bytes sent from the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/node/stats/rejected_connections_count BETA(project)
Client connections - rejected
DELTAINT641
redis.googleapis.com/ClusterNode
Number of connections rejected because of maxclients limit by the cluster node. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/persistence/aof_fsync_lags BETA(project)
AOF fsync lags.
GAUGEDISTRIBUTIONs
redis.googleapis.com/Cluster
Distribution of AOF lag between memory and persistent store across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/persistence/aof_rewrite_count BETA(project)
AOF rewrite count.
DELTAINT641
redis.googleapis.com/Cluster
Count of AOF rewrites across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
status_code: (INT64) gRPC error code (e.g. 0=OK,8=RESOURCE_EXHAUSTED, 13=INTERNAL)
status_string: Status code description.
cluster/persistence/rdb_last_success_ages BETA(project)
RDB snapshot ages.
GAUGEDISTRIBUTIONs
redis.googleapis.com/Cluster
Age of RDB snapshots across cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/persistence/rdb_saves_count BETA(project)
RDB saves count.
DELTAINT641
redis.googleapis.com/Cluster
Count of RDB saves across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
status_code: (INT64) gRPC error code (e.g. 0=OK,8=RESOURCE_EXHAUSTED, 13=INTERNAL)
status_string: Status code description.
cluster/replication/average_ack_lag GA(project)
Replication acknowledge lag - average
GAUGEDOUBLEs
redis.googleapis.com/Cluster
Mean replication acknowledge lag (in seconds) of replica across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/replication/average_offset_diff GA(project)
Replication offset diff - average
GAUGEINT64By
redis.googleapis.com/Cluster
Mean replication offset diff (in bytes) across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/replication/maximum_ack_lag GA(project)
Replication acknowledge lag - maximum
GAUGEDOUBLEs
redis.googleapis.com/Cluster
Maximum replication acknowledge lag (in seconds) of replica across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/replication/maximum_offset_diff GA(project)
Replication offset diff - maximum
GAUGEINT64By
redis.googleapis.com/Cluster
Maximum replication offset diff (in bytes) across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/stats/average_evicted_keys GA(project)
Evicted keys - average
GAUGEINT641
redis.googleapis.com/Cluster
Mean number of evicted keys due to memory capacity. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/stats/average_expired_keys GA(project)
Expired keys - average
GAUGEINT641
redis.googleapis.com/Cluster
Mean number of key expiration events. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/stats/average_keyspace_hits GA(project)
Keyspace hits - average
GAUGEINT641
redis.googleapis.com/Cluster
Mean number of successful lookup of keys across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/stats/average_keyspace_misses GA(project)
Keyspace misses - average
GAUGEINT641
redis.googleapis.com/Cluster
Mean number of failed lookup of keys across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/stats/maximum_evicted_keys GA(project)
Evicted keys - maximum
GAUGEINT641
redis.googleapis.com/Cluster
Maximum number of evicted keys due to memory capacity. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/stats/maximum_expired_keys GA(project)
Expired keys - maximum
GAUGEINT641
redis.googleapis.com/Cluster
Maximum number of key expiration events. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/stats/maximum_keyspace_hits GA(project)
Keyspace hits - maximum
GAUGEINT641
redis.googleapis.com/Cluster
Maximum number of successful lookup of keys across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/stats/maximum_keyspace_misses GA(project)
Keyspace misses - maximum
GAUGEINT641
redis.googleapis.com/Cluster
Maximum number of failed lookup of keys across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/stats/total_connections_received_count GA(project)
Client connections - received
DELTAINT641
redis.googleapis.com/Cluster
Count of client connections created in the last one minute. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/stats/total_evicted_keys_count GA(project)
Evicted keys - total
DELTAINT641
redis.googleapis.com/Cluster
Total number of evicted keys due to memory capacity. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/stats/total_expired_keys_count GA(project)
Expired keys - total
DELTAINT641
redis.googleapis.com/Cluster
Total number of key expiration events. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
cluster/stats/total_keyspace_hits_count GA(project)
Keyspace Hits - total
DELTAINT641
redis.googleapis.com/Cluster
Total number of successful lookup of keys across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/stats/total_keyspace_misses_count GA(project)
Keyspace misses - total
DELTAINT641
redis.googleapis.com/Cluster
Total number of failed lookup of keys across the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/stats/total_net_input_bytes_count GA(project)
Network bytes - incoming total
DELTAINT64By
redis.googleapis.com/Cluster
Count of incoming network bytes received by the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/stats/total_net_output_bytes_count GA(project)
Network bytes - outgoing total
DELTAINT64By
redis.googleapis.com/Cluster
Count of outgoing network bytes sent from the cluster. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
cluster/stats/total_rejected_connections_count GA(project)
Client connections - rejected
DELTAINT641
redis.googleapis.com/Cluster
Count of client connections rejected because of maxclients limit. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The replication role, one of [primary, replica].
commands/calls GA(project)
Calls
DELTAINT641
redis_instance
Total number of calls for this command in one minute. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The node role, one of [primary, replica].
cmd: The command executed.
commands/total_time GA(project)
Total Time of Calls
DELTAINT64us
redis_instance
The amount of time in microseconds that this command took in the last second. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The node role, one of [primary, replica].
cmd: The command executed.
commands/usec_per_call GA(project)
Time per Call
GAUGEDOUBLE1
redis_instance
Average time per call over 1 minute by command. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The node role, one of [primary, replica].
cmd: The command executed.
keyspace/avg_ttl GA(project)
Average TTL
GAUGEDOUBLEms
redis_instance
Average TTL for keys in this database. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
db: The index of the database, default of 0.
keyspace/keys GA(project)
Keys
GAUGEINT641
redis_instance
Number of keys stored in this database. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
db: The index of the database, default of 0.
keyspace/keys_with_expiration GA(project)
Expirable Keys
GAUGEINT641
redis_instance
Number of keys with an expiration in this database. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
db: The index of the database, default of 0.
persistence/rdb/bgsave_in_progress GA(project)
Persisting RDB
GAUGEBOOL1
redis_instance
Flag indicating a RDB save is on-going. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/enabled GA(project)
Snapshot RDB mode enabled
GAUGEBOOL
redis_instance
Indicates if the snapshot is in RDB mode. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/recovery/attempts_since_last_success GA(project)
RDB recovery attempts
GAUGEINT641
redis_instance
Indicates number of recovery attempts since the last successful recovery attempt. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/recovery/elapsed_time GA(project)
RDB recovery elapsed time
GAUGEINT64s
redis_instance
Indicates increasing time elapsed for an in-progress recovery from an RDB snapshot. 0 means the recovery is idle or completed. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/recovery/estimated_recovery_time GA(project)
RDB recovery estimated time
GAUGEINT64s
redis_instance
Indicates the expected recovery time when using the last successful snapshot for recovery. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/recovery/estimated_remaining_time GA(project)
RDB recovery remaining time
GAUGEINT64s
redis_instance
Indicates remaining time to finish recovery from an RDB snapshot. 0 means the recovery is idle or completed. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/recovery/in_progress GA(project)
RDB recovery in progress
GAUGEBOOL
redis_instance
Indicates if recovery from an RDB snapshot is in progress. When the metric value is true, then a recovery is in progress. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/recovery/last_duration GA(project)
RDB recovery last duration
GAUGEINT64s
redis_instance
Indicates time it took to restore the last snapshot. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/recovery/last_status GA(project)
RDB recovery last status
GAUGEINT641
redis_instance
Indicates status of the most recent recovery. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
message: The message from the status of the last recovery.
rdb/recovery/loaded_bytes_count GA(project)
RDB loaded size
DELTAINT64By
redis_instance
During a recovery, indicates how many bytes have loaded. 0 if the recovery is not active. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/recovery/total_bytes_count GA(project)
RDB snapshot size
DELTAINT64By
redis_instance
Indicates the size in bytes of the snapshot. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/snapshot/attempt_count GA(project)
RDB snapshot attempts count
DELTAINT641
redis_instance
Indicates number of snapshot attempts every minute. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/snapshot/elapsed_time GA(project)
RDB snapshot elapsed time
GAUGEINT64s
redis_instance
Indicates increasing time elapsed while creating the current snapshot. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/snapshot/in_progress GA(project)
RDB snapshot in progress
GAUGEBOOL
redis_instance
Indicates if RDB snapshot is in progress. When the metric value is true, then an RDB snapshot is in progress. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/snapshot/last_status GA(project)
RDB snapshot last status
GAUGEINT641
redis_instance
Indicates status of the most recent snapshot attempt. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
message: The message from the status of the last snapshot.
rdb/snapshot/last_success_age GA(project)
RDB snapshot last success age
GAUGEINT64s
redis_instance
Indicates time elapsed since the start of the last successful snapshot. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/snapshot/last_success_duration GA(project)
RDB snapshot last success duration
GAUGEINT64s
redis_instance
Indicates the total time required to write the last successful snapshot, not including failed attempts. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
rdb/snapshot/time_until_next_run GA(project)
Next snapshot time
GAUGEINT64s
redis_instance
Seconds until the next scheduled snapshot. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
replication/master/slaves/lag GA(project)
Seconds lagging
GAUGEINT64s
redis_instance
The number of seconds that replica is lagging behind primary. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
slave: The index of slave on a particular master.
replication/master/slaves/offset GA(project)
Replication byte offset (Replica)
GAUGEINT64By
redis_instance
The number of bytes that have been acknowledged by replicas. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
slave: The index of slave on a particular master.
replication/master_repl_offset GA(project)
Replication byte offset (Master)
GAUGEINT64By
redis_instance
The number of bytes that master has produced and sent to replicas. To be compared with replication byte offset of replica. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
replication/offset_diff GA(project)
Bytes pending replication
GAUGEINT64By
redis_instance
The largest number of bytes that have not been replicated across all replicas. This is the biggest difference between replication byte offset (master) and replication byte offset (replica) of all replicas. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
replication/role GA(project)
Node Role
GAUGEINT641
redis_instance
Returns a value indicating the node role. 1 indicates primary and 0 indicates replica. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
search/attributes BETA(project)
Vector search attributes
GAUGEINT641
redis_instance
Indicates the number of attributes in vector search. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
search/background_indexing_in_progress BETA(project)
Vector search background indexing in progress
GAUGEBOOL1
redis_instance
Indicates if the background indexing is in progress. When the metric value is true, then the background indexing is in progress. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
search/indexed_hash_keys BETA(project)
Vector search indexed hash keys
GAUGEINT641
redis_instance
Indicates the number of indexed hash keys in vector search. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
search/indexes BETA(project)
Vector search indexes
GAUGEINT641
redis_instance
Indicates the number of indexes in vector search. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
search/query_requests_count BETA(project)
Vector search query requests count
DELTAINT641
redis_instance
Indicates the number of query requests count. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
status_string: Status code description.
search/used_memory_bytes BETA(project)
Vector search used memory in bytes
GAUGEINT64By
redis_instance
Indicates the used memory in bytes in vector search. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
server/uptime GA(project)
Uptime
GAUGEINT64s
redis_instance
Uptime in seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
role: The node role, one of [primary, replica].
stats/cache_hit_ratio GA(project)
Cache Hit ratio
GAUGEDOUBLE1
redis_instance
Cache Hit ratio as a fraction. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
stats/connections/total GA(project)
Total Connections Received
DELTAINT641
redis_instance
Total number of connections accepted by the server. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
stats/cpu_utilization GA(project)
CPU seconds
DELTADOUBLEs{CPU}
redis_instance
CPU-seconds consumed by the Redis server, broken down by system/user space and parent/child relationship. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role (one of [primary, replica]).
space: The space ("system" or "user") in which CPU resources were consumed.
relationship: The parent/child relationship of the process using CPU resources.
stats/cpu_utilization_main_thread ALPHA(project)
Main Thread CPU seconds
DELTADOUBLEs{CPU}
redis_instance
CPU-seconds consumed by the Redis server main thread, broken down by system/user space and parent/child relationship. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role (one of [primary, replica]).
space: The space ("system" or "user") in which CPU resources were consumed.
relationship: The parent/child relationship of the process using CPU resources.
stats/evicted_keys GA(project)
Evicted Keys
DELTAINT641
redis_instance
Number of evicted keys due to maxmemory limit. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
stats/expired_keys GA(project)
Expired Keys
DELTAINT641
redis_instance
Total number of key expiration events. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
stats/keyspace_hits GA(project)
Hits
DELTAINT641
redis_instance
Number of successful lookup of keys in the main dictionary. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
stats/keyspace_misses GA(project)
Misses
DELTAINT641
redis_instance
Number of failed lookup of keys in the main dictionary. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
stats/memory/maxmemory GA(project)
Maximum Memory
GAUGEINT64By
redis_instance
Maximum amount of memory Redis can consume. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
stats/memory/system_memory_overload_duration GA(project)
Time in system memory overload
DELTAINT64us
redis_instance
The amount of time in microseconds the instance is in system memory overload mode. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
stats/memory/system_memory_usage_ratio GA(project)
System Memory Usage Ratio
GAUGEDOUBLE1
redis_instance
Memory usage as a ratio of maximum system memory. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
stats/memory/usage GA(project)
Used Memory
GAUGEINT64By
redis_instance
Total number of bytes allocated by Redis. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
stats/memory/usage_ratio GA(project)
Memory Usage Ratio
GAUGEDOUBLE1
redis_instance
Memory usage as a ratio of maximum memory. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
stats/network_traffic GA(project)
Total traffic to Redis
DELTAINT64By
redis_instance
Total number of bytes sent to/from redis (includes bytes from commands themselves, payload data, and delimiters). Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
direction: The direction of the traffic, inbound or outbound.
stats/pubsub/channels GA(project)
Pubsub Channels
GAUGEINT641
redis_instance
Global number of pub/sub channels with client subscriptions. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
stats/pubsub/patterns GA(project)
Pubsub Patterns
GAUGEINT641
redis_instance
Global number of pub/sub pattern with client subscriptions. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].
stats/reject_connections_count GA(project)
Rejected Connections
DELTAINT641
redis_instance
Number of connections rejected because of maxclients limit. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
role: The node role, one of [primary, replica].

retail

Metrics from Retail API. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with retail.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
catalog/processed_user_events GA(project)
Number of user events processed
GAUGEINT641
retail.googleapis.com/Catalog
The number of user events that have been processed for a catalog. Only the user events that are recorded in real time are included. Historical user events, which are bulk imported, are not included. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
event_type: Event type, see https://cloud.google.com/retail/docs/user-events.
status: Status of event, should be joined or unjoined.

router

Metrics from Cloud Router. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with router.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
best_received_routes_count GA(project)
Received routes count
GAUGEINT641
gce_router
Current number of best routes received by router. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
bfd/control/receive_intervals BETA(project)
BFD control packets receive intervals
GAUGEINT64ms
gce_router
BFD control packets receive intervals. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
peer_ip: The peer IP of the BFD session.
bfd/control/received_packets_count BETA(project)
Control packets received
DELTAINT641
gce_router
Number of control packets received from this BFD session. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
peer_ip: The peer IP of the BFD session.
bfd/control/rejected_packets_count BETA(project)
Control packets rejected
DELTAINT641
gce_router
Number of control packets rejected, from this BFD session. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
peer_ip: The peer IP of the BFD session.
bfd/control/transmit_intervals BETA(project)
BFD control packets transmit intervals
GAUGEINT64ms
gce_router
BFD control packets transmit intervals. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
peer_ip: The peer IP of the BFD session.
bfd/control/transmitted_packets_count BETA(project)
Control packets transmitted
DELTAINT641
gce_router
Number of control packets transmitted from this BFD session. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
peer_ip: The peer IP of the BFD session.
bfd/session_flap_events_count BETA(project)
BFD session flap
DELTAINT641
gce_router
Number of each BFD flap event from this BFD session. A session flap event refers to the transition from Up state. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
peer_ip: The peer IP of the BFD session.
event_type: The reason for the BFD flap such as "AdminDown" or "ControlDetectionTimeExpired".
bfd/session_up BETA(project)
BFD session status
GAUGEINT641
gce_router
Indicator for successful BFD session establishment. 1 indicates the session is up. 0 indicates the session is down. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
peer_ip: The peer IP of the BFD session.
bgp/received_routes_count GA(project)
BGP received routes count
GAUGEINT641
gce_router
Current number of routes received on a bgp session. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
bgp_peer_name: The name of the bgp session.
bgp/sent_routes_count GA(project)
BGP sent routes count
GAUGEINT641
gce_router
Current number of routes sent on a bgp session. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
bgp_peer_name: The name of the bgp session.
bgp/session_up GA(project)
BGP session status
GAUGEINT641
gce_router
Indicator for successful bgp session establishment. 1 indicates the session is up. 0 indicates the session is down. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
bgp_peer_name: The name of the bgp session.
bgp_sessions_down_count GA(project)
BGP sessions down count
GAUGEINT641
gce_router
Number of BGP sessions on the router that are down. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
bgp_sessions_up_count GA(project)
BGP sessions up count
GAUGEINT641
gce_router
Number of BGP sessions on the router that are up. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
dynamic_routes/learned_routes/any_dropped_unique_destinations BETA(project)
Any unique destinations dropped
GAUGEBOOL1
gce_network_region
A boolean metric of whether there are any unique destinations dropped in a network region due to exceeding quota. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
routing_mode: Routing mode of the route, one of ["global" - learned from remote regions; "regional" - learned from local regions].
dynamic_routes/learned_routes/dropped_unique_destinations BETA(project)
Unique destinations dropped
GAUGEINT641
gce_network_region
The number of unique destinations dropped in a network region due to exceeding quota. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
routing_mode: Routing mode of the route, one of ["global" - learned from remote regions; "regional" - learned from local regions].
dynamic_routes/learned_routes/unique_destinations_limit BETA(project)
Unique destinations limit
GAUGEINT641
gce_network_region
The maximum number of unique destinations allowed by route quota for this network region. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
routing_mode: Routing mode of the route, one of ["global" - learned from remote regions; "regional" - learned from local regions].
dynamic_routes/learned_routes/used_unique_destinations BETA(project)
Unique destinations used
GAUGEINT641
gce_network_region
Number of unique destinations used by learned routes for this network region. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
routing_mode: Routing mode of the route, one of ["global" - learned from remote regions; "regional" - learned from local regions].
nat/allocated_ports GA(project)
Allocated ports
GAUGEINT64{port}
nat_gateway
Number of ports allocated to all VMs by the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 225 seconds.
nat_ip: NAT IP of the ports.
nat/closed_connections_count GA(project)
Closed connections count
DELTAINT64{connection}
nat_gateway
Count of connections closed over the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 225 seconds.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/dropped_received_packets_count GA(project)
Received packets dropped count
DELTAINT64{packet}
nat_gateway
Count of received packets dropped by the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 225 seconds.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/dropped_sent_packets_count GA(project)
Sent packets dropped count
DELTAINT64{packet}
nat_gateway
Count of sent packets dropped by the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 225 seconds.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
reason: The reason for the packet drop. Possible values are OUT_OF_RESOURCES, ENDPOINT_INDEPENDENCE_CONFLICT.
nat/nat_allocation_failed GA(project)
NAT allocation failed
GAUGEBOOL
nat_gateway
Indicates if there is a failure in allocating NAT IPs to any VM in the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
nat/new_connections_count GA(project)
New connections count
DELTAINT64{connection}
nat_gateway
Count of new connections created over the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 225 seconds.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/open_connections GA(project)
Open connections
GAUGEINT64{connection}
nat_gateway
Number of connections currently open on the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 225 seconds.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/port_usage GA(project)
Port usage
GAUGEINT64{port}
nat_gateway
Maximum number of connections from VM to a single internet endpoint (IP:port). Sampled every 60 seconds. After sampling, data is not visible for up to 225 seconds.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/received_bytes_count GA(project)
Received bytes count
DELTAINT64By
nat_gateway
Count of bytes received (destination -> VMs) via the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 225 seconds.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/received_packets_count GA(project)
Received packets count
DELTAINT64{packet}
nat_gateway
Count of packets received (destination -> VMs) via the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 225 seconds.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/sent_bytes_count GA(project)
Sent bytes count
DELTAINT64By
nat_gateway
Count of bytes sent (VMs -> destination) over the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 225 seconds.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
nat/sent_packets_count GA(project)
Sent packets count
DELTAINT64{packet}
nat_gateway
Count of packets sent (VMs -> destination) over the NAT gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 225 seconds.
ip_protocol: The protocol of the connection. Can be TCP, UDP or ICMP.
router_up GA(project)
Router tasks up
GAUGEINT641
gce_router
Number of router software tasks that are running successfully. A value greater than or equal to 1 indicates that the router is up, although not all software tasks may be running. Compare the returned number to the expected number of software tasks for the router. A value of 0 indicates that the router is down. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
sent_routes_count GA(project)
Sent routes count
GAUGEINT641
gce_router
Current number of routes sent by router. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.

run

Metrics from managed Cloud Run. (For Knative serving metrics, see Kubernetes metrics and Knative metrics.) Launch stages of these metrics: ALPHA BETA GA

The "metric type" strings in this table must be prefixed with run.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
container/billable_instance_time GA(project)
Billable Instance Time
DELTADOUBLEs
cloud_run_job
cloud_run_revision
Billable time aggregated across all container instances. For a given container instance, billable time occurs when the container instance is starting or at least one request is being processed. Billable time is rounded up to the nearest 100 milliseconds. Examples: If a revision with 2 container instances has been continuously serving traffic in the last minute, the value is 2s/s with the default "rate" aligner. If a single request lasting 30ms was received by a revision in the past minute, it is rounded up to 100ms and averaged to 1.7ms/s over the minute with the default "rate" aligner. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
container/completed_probe_attempt_count GA(project)
Completed Health Check Probe Attempt Count
DELTAINT641
cloud_run_revision
Number of completed health check probe attempts and their results. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
probe_action: Mechanism used to perform the probing.
is_healthy: (BOOL) Result of the health check probe.
container_name: Name of the probed container.
is_default: (BOOL) Whether this probe is injected by google infrastructure.
probe_type: Type of the probe.
container/completed_probe_count GA(project)
Completed Health Check Probe Count
DELTAINT641
cloud_run_revision
Number of completed health check probes and their results. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
probe_action: Mechanism used to perform the probing.
is_healthy: (BOOL) Result of the health check probe.
container_name: Name of the probed container.
is_default: (BOOL) Whether this probe is injected by google infrastructure.
probe_type: Type of the probe.
container/containers GA(project)
Multi-container instance counts
GAUGEINT641
cloud_run_revision
Number of container instances that exist, broken down by state. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
container_name: Container name.
state: Whether a container is "active" or "idle".
container/cpu/allocation_time GA(project)
Container CPU Allocation
DELTADOUBLEs{CPU}
cloud_run_job
cloud_run_revision
Container CPU allocation in seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
container/cpu/usage GA(project)
Multi-container CPU Usage
GAUGEDISTRIBUTIONs{CPU}
cloud_run_revision
Actual container cpu usage in cpu seconds broken down by the metric field, container name. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
container_name: Container name.
container/cpu/utilizations GA(project)
Container CPU Utilization
DELTADISTRIBUTION10^2.%
cloud_run_job
cloud_run_revision
Container CPU utilization distribution across all container instances. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
container/gpu/memory_usages BETA(project)
GPU Memory Usage
GAUGEDISTRIBUTIONBy
cloud_run_revision
Container GPU memory usage distribution across all container instances. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
container_name: Container name.
gpu_number: (INT64) Matches the CUDA device index (e.g. "0", "1").
container/gpu/memory_utilizations BETA(project)
GPU Memory Utilization
GAUGEDISTRIBUTION10^2.%
cloud_run_revision
Container GPU memory utilization distribution across all container instances. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
container_name: Container name.
gpu_number: (INT64) Matches the CUDA device index (e.g. "0", "1").
container/gpu/utilizations BETA(project)
GPU Utilization
GAUGEDISTRIBUTION10^2.%
cloud_run_revision
Container GPU utilization distribution across all container instances. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
container_name: Container name.
gpu_number: (INT64) Matches the CUDA device index (e.g. "0", "1").
container/instance_count GA(project)
Instance Count
GAUGEINT641
cloud_run_revision
Number of container instances that exist, broken down by state. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
state: Whether a container is "active" or "idle".
container/max_request_concurrencies GA(project)
Max Concurrent Requests
DELTADISTRIBUTION1
cloud_run_revision
Distribution of the maximum number of concurrent requests being served by each container instance over a minute. Filter by 'state' = 'active' only get the concurrency of active container instances. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
state: Whether a container is "active" or "idle".
container/memory/allocation_time GA(project)
Container Memory Allocation
DELTADOUBLEGiBy.s
cloud_run_job
cloud_run_revision
Container memory allocation in Gigabytes-seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
container/memory/usage GA(project)
Multi-container Memory Usage
GAUGEDISTRIBUTIONbyte
cloud_run_revision
Actual container memory usage in bytes broken down by the metric field, container name. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
container_name: Container name.
container/memory/utilizations GA(project)
Container Memory Utilization
DELTADISTRIBUTION10^2.%
cloud_run_job
cloud_run_revision
Container memory utilization distribution across all container instances. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
container/network/received_bytes_count GA(project)
Received Bytes
DELTAINT64By
cloud_run_job
cloud_run_revision
Incoming socket and HTTP response traffic, in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
kind: Type of network from where traffic is received, one of [internet, private, google]
container/network/sent_bytes_count GA(project)
Sent Bytes
DELTAINT64By
cloud_run_job
cloud_run_revision
Outgoing socket and HTTP response traffic, in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
kind: Type of network where traffic is sent, one of [internet, private, google]
container/network/throttled_inbound_bytes_count BETA(project)
Inbound bytes throttled
DELTAINT64By
cloud_run_job
cloud_run_revision
Inbound bytes dropped due to network throttling. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network: Network layer (L3) protocol used, one of [ipv4, ipv6].
transport: Transport used, one of [tcp, udp, icmp].
type: Type of network from where traffic is received, one of [public, private, googleapis]
container/network/throttled_inbound_packets_count BETA(project)
Inbound packets throttled
DELTAINT64By
cloud_run_job
cloud_run_revision
Inbound packets dropped due to network throttling. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network: Network layer (L3) protocol used, one of [ipv4, ipv6].
transport: Transport used, one of [tcp, udp, icmp].
type: Type of network from where traffic is received, one of [public, private, googleapis]
container/network/throttled_outbound_bytes_count BETA(project)
Outbound bytes throttled
DELTAINT64By
cloud_run_job
cloud_run_revision
Outbound bytes dropped due to network throttling. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network: Network layer (L3) protocol used, one of [ipv4, ipv6].
transport: Transport used, one of [tcp, udp, icmp].
type: Type of network from where traffic is received, one of [public, private, googleapis]
container/network/throttled_outbound_packets_count BETA(project)
Outbound packets throttled
DELTAINT64By
cloud_run_job
cloud_run_revision
Outbound packets dropped due to network throttling. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network: Network layer (L3) protocol used, one of [ipv4, ipv6].
transport: Transport used, one of [tcp, udp, icmp].
type: Type of network from where traffic is received, one of [public, private, googleapis]
container/probe_attempt_latencies GA(project)
Health Check Probe Attempt Latency
DELTADISTRIBUTIONms
cloud_run_revision
Distribution of time spent running a single probe attempt before success or failure in milliseconds. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
probe_action: Mechanism used to perform the probing.
is_healthy: (BOOL) Result of the health check probe.
container_name: Name of the probed container.
is_default: (BOOL) Whether this probe is injected by google infrastructure.
probe_type: Type of the probe.
container/probe_latencies GA(project)
Health Check Probe Latency
DELTADISTRIBUTIONms
cloud_run_revision
Distribution of time spent running a probe before success or failure in milliseconds. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
probe_action: Mechanism used to perform the probing.
is_healthy: (BOOL) Result of the health check probe.
container_name: Name of the probed container.
is_default: (BOOL) Whether this probe is injected by google infrastructure.
probe_type: Type of the probe.
container/startup_latencies BETA(project)
Container startup latency
DELTADISTRIBUTIONms
cloud_run_job
cloud_run_revision
Distribution of time spent starting a new container instance in milliseconds. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
infrastructure/cloudsql/connection_latencies BETA(project)
CloudSQL connection latency
DELTADISTRIBUTIONus
cloud_run_revision
Distribution of latency in microseconds for connections originating from Cloud Run to CloudSQL. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
infrastructure/cloudsql/connection_refused_count BETA(project)
CloudSQL connection refused count
DELTAINT641
cloud_run_revision
Total number of connections refused originating from Cloud Run to CloudSQL. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
infrastructure/cloudsql/connection_request_count BETA(project)
CloudSQL connection request count
DELTAINT641
cloud_run_revision
Total number of connection requests originating from Cloud Run to CloudSQL. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
infrastructure/cloudsql/received_bytes_count BETA(project)
CloudSQL bytes received
DELTAINT64By
cloud_run_revision
Number of bytes received by Cloud Run from CloudSQL over the network. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
infrastructure/cloudsql/sent_bytes_count BETA(project)
CloudSQL bytes sent
DELTAINT64By
cloud_run_revision
Number of bytes sent by Cloud Run to CloudSQL over the network. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
job/completed_execution_count GA(project)
Completed Executions
DELTAINT641
cloud_run_job
Number of completed job executions and their result. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
result: Execution result.
job/completed_task_attempt_count GA(project)
Completed exit result and task attempts
DELTAINT641
cloud_run_job
Number of completed task attempts and its corresponding exit result. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
result: Job task result.
attempt: (INT64) The number of retries for a job task.
job/running_executions GA(project)
Running Executions
GAUGEINT641
cloud_run_job
Number of running job executions. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
job/running_task_attempts GA(project)
Running task attempts
GAUGEINT641
cloud_run_job
Number of running task attempts. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
attempt: (INT64) The number of retries for a job task.
pending_queue/pending_requests ALPHA(project)
Pending Requests
GAUGEINT641
cloud_run_revision
Number of pending requests. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
request_count GA(project)
Request Count
DELTAINT641
cloud_run_revision
Number of requests reaching the revision. Excludes requests that are not reaching your container instances (for example, unauthorized requests or when maximum number of instances is reached). Captured at the end of the request lifecycle. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
response_code: Response code of a request.
response_code_class: Response code class of a request.
route: Always empty.
request_latencies GA(project)
Request Latency
DELTADISTRIBUTIONms
cloud_run_revision
Distribution of request latency in milliseconds reaching the revision. Latency is measured from when the request reaches the running container to when it exits. Notably, it does not include container startup latency. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
response_code: Response code of a request.
response_code_class: Response code class of a request.
route: Always empty.

serviceruntime

Metrics available to be collected by any Google Cloud API (resource type consumed_api) and by APIs you created by using Cloud Endpoints (resource type api). Note that not all Google Cloud APIs collect serviceruntime metrics.

The resources listed for the metrics are at launch stage GA, except for api, which is at launch stage BETA.

The "metric type" strings in this table must be prefixed with serviceruntime.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
api/request_count GA(project)
Request count
DELTAINT641
api
consumed_api
produced_api
The count of completed requests. Sampled every 60 seconds. After sampling, data is not visible for up to 1800 seconds.
protocol: The protocol of the request, e.g. "http", "grpc".
response_code: The HTTP response code for HTTP requests, or HTTP equivalent code for gRPC requests. See code mapping in https://github.com/googleapis/googleapis/blob/master/google/rpc/code.proto.
response_code_class: The response code class for HTTP requests, or HTTP equivalent class for gRPC requests, e.g. "2xx", "4xx".
grpc_status_code: The numeric gRPC response code for gRPC requests, or gRPC equivalent code for HTTP requests. See code mapping in https://github.com/googleapis/googleapis/blob/master/google/rpc/code.proto.
api/request_latencies GA(project)
Request latencies
DELTADISTRIBUTIONs
api
consumed_api
produced_api
Distribution of latencies in seconds for non-streaming requests. Sampled every 60 seconds. After sampling, data is not visible for up to 1800 seconds.
api/request_latencies_backend GA(project)
Request backend latencies
DELTADISTRIBUTIONs
api
produced_api
Distribution of backend latencies in seconds for non-streaming requests. Sampled every 60 seconds. After sampling, data is not visible for up to 1800 seconds.
api/request_latencies_overhead GA(project)
Request overhead latencies
DELTADISTRIBUTIONs
api
produced_api
Distribution of request latencies in seconds for non-streaming requests excluding the backend. Sampled every 60 seconds. After sampling, data is not visible for up to 1800 seconds.
api/request_sizes GA(project)
Request sizes
DELTADISTRIBUTIONBy
api
consumed_api
produced_api
Distribution of request sizes in bytes recorded at request completion. Sampled every 60 seconds. After sampling, data is not visible for up to 1800 seconds.
api/response_sizes GA(project)
Response sizes
DELTADISTRIBUTIONBy
api
consumed_api
produced_api
Distribution of response sizes in bytes recorded at request completion. Sampled every 60 seconds. After sampling, data is not visible for up to 1800 seconds.
quota/allocation/usage GA(project, folder, organization)
Allocation quota usage
GAUGEINT641
consumer_quota
producer_quota
The total consumed allocation quota. Values reported more than 1/min are dropped. If no changes are received in quota usage, the last value is repeated at least every 24 hours. Sampled every 60 seconds.
quota_metric: The name of quota metric or quota group.
quota/concurrent/exceeded ALPHA(project, folder, organization)
Concurrent Quota Exceeded
DELTAINT641
consumer_quota
The number of times exceeding the concurrent quota was attempted. Sampled every 86400 seconds. After sampling, data is not visible for up to 180 seconds.
limit_name: The quota limit name, such as "Requests per day" or "In-use IP addresses".
quota_metric: The name of quota metric or quota group.
time_window: The window size for concurrent operation limits.
quota/concurrent/limit ALPHA(project, folder, organization)
Concurrent Quota limit
GAUGEINT641
consumer_quota
producer_quota
The concurrent limit for the quota. Sampled every 86400 seconds. After sampling, data is not visible for up to 180 seconds.
limit_name: The quota limit name, such as "Requests per day" or "In-use IP addresses".
quota_metric: The name of quota metric or quota group.
time_window: The window size for concurrent operation limits.
quota/concurrent/usage ALPHA(project, folder, organization)
Concurrent Quota usage
GAUGEINT641
consumer_quota
producer_quota
The concurrent usage of the quota. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
limit_name: The quota limit name, such as "Requests per day" or "In-use IP addresses".
quota_metric: The name of quota metric or quota group.
time_window: The window size for concurrent operation limits.
quota/exceeded GA(project, folder, organization)
Quota exceeded error
GAUGEBOOL1
consumer_quota
The error happened when the quota limit was exceeded. Sampled every 60 seconds.
limit_name: The quota limit name, such as "Requests per day" or "In-use IP addresses".
quota_metric: The name of quota metric or quota group.
quota/limit GA(project, folder, organization)
Quota limit
GAUGEINT641
consumer_quota
producer_quota
The limit for the quota. Sampled every 86400 seconds.
limit_name: The quota limit name, such as "Requests per day" or "In-use IP addresses".
quota_metric: The name of quota metric or quota group.
quota/rate/net_usage GA(project, folder, organization)
Rate quota usage
DELTAINT641
consumer_quota
producer_quota
The total consumed rate quota. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
method: The API method name, such as "disks.list".
quota_metric: The name of quota metric or quota group.
reserved/metric1 EARLY_ACCESS(project)
Deprecated
DELTAINT641
deprecated_resource
Deprecated. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
quota_name: Deprecated.
credential_id: Deprecated.
quota_location: Deprecated.

spanner

Metrics from Spanner. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with spanner.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
api/api_request_count GA(project)
API requests
DELTAINT641
spanner_instance
Cloud Spanner API requests. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Target database.
status: Request call result, ok=success.
method: Cloud Spanner API method.
api/read_request_latencies_by_change_stream GA(project)
Read request latencies by change stream
DELTADISTRIBUTIONs
spanner_instance
Distribution of read request latencies by whether it is a change stream query. This includes latency of request processing in Cloud Spanner backends and API layer. It does not include network or reverse-proxy overhead between clients and servers. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Target database.
method: Cloud Spanner API method.
is_change_stream: (BOOL) TRUE if it is a change stream query.
api/read_request_latencies_by_serving_location BETA(project)
Read API request latencies by serving location
DELTADISTRIBUTIONs
spanner_instance
Distribution of read request latencies by serving location, whether it is a directed read query, and whether it is a change stream query. This includes latency of request processing in Cloud Spanner backends and API layer. It does not include network or reverse-proxy overhead between clients and servers. This is a superset of spanner.googleapis.com/api/read_request_latencies_by_change_stream. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
database: Target database.
method: Cloud Spanner API method.
is_change_stream: (BOOL) TRUE if it is a change stream query.
is_directed_read: (BOOL) TRUE if it is a directed read query.
serving_location: The location of serving replicas.
api/received_bytes_count GA(project)
Bytes received by Cloud Spanner
DELTAINT64By
spanner_instance
Uncompressed request bytes received by Cloud Spanner. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Target database.
method: Cloud Spanner API method.
api/request_count GA(project)
API request rate
GAUGEDOUBLE1/s
spanner_instance
Rate of Cloud Spanner API requests. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Target database.
status: Request call result, ok=success.
method: Cloud Spanner API method.
api/request_latencies GA(project)
Request latencies
DELTADISTRIBUTIONs
spanner_instance
Distribution of server request latencies for a database. This includes latency of request processing in Cloud Spanner backends and API layer. It does not include network or reverse-proxy overhead between clients and servers. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Target database.
method: Cloud Spanner API method.
api/request_latencies_by_transaction_type GA(project)
Request latencies by transaction type
DELTADISTRIBUTIONs
spanner_instance
Distribution of server request latencies by transaction types. This includes latency of request processing in Cloud Spanner backends and API layer. It does not include network or reverse-proxy overhead between clients and servers. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Target database.
method: Cloud Spanner API method.
transaction_type: Transaction type ("READ_ONLY" or "READ_WRITE").
is_leader_involved: (BOOL) TRUE if the leader roundtrip call is issued.
api/sent_bytes_count GA(project)
Bytes sent by Cloud Spanner
DELTAINT64By
spanner_instance
Uncompressed response bytes sent by Cloud Spanner. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Target database.
method: Cloud Spanner API method.
graph_query_stat/total/bytes_returned_count GA(project)
Graph query bytes returned count
DELTAINT64By
spanner_instance
Number of data bytes that the graph queries returned, excluding transmission encoding overhead. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
graph_query_stat/total/execution_count GA(project)
Graph query execution count
DELTAINT641
spanner_instance
Number of times Cloud Spanner saw graph queries during the interval. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
graph_query_stat/total/failed_execution_count GA(project)
Graph query failures
DELTAINT641
spanner_instance
Number of times graph queries failed during the interval. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
status: failed status, one of [cancelled, timeout, error].
graph_query_stat/total/query_latencies GA(project)
Graph query latencies
DELTADISTRIBUTIONs
spanner_instance
Distribution of total length of time, in seconds, for graph query executions within the database. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
graph_query_stat/total/returned_rows_count GA(project)
Graph query rows returned count
DELTAINT641
spanner_instance
Number of rows that the graph queries returned. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
graph_query_stat/total/scanned_rows_count GA(project)
Graph query rows scanned count
DELTAINT641
spanner_instance
Number of rows that the graph queries scanned excluding deleted values. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
instance/autoscaling/high_priority_cpu_utilization_target GA(project)
Autoscaling high priority cpu utilization target
GAUGEDOUBLE10^2.%
spanner_instance
High priority CPU utilization target used for autoscaling. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
instance/autoscaling/max_node_count GA(project)
Autoscaling max nodes
GAUGEINT641
spanner_instance
Maximum number of nodes autoscaler is allowed to allocate to the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
instance/autoscaling/max_processing_units GA(project)
Autoscaling max processing units
GAUGEINT641
spanner_instance
Maximum number of processing units autoscaler is allowed to allocate to the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
instance/autoscaling/min_node_count GA(project)
Autoscaling min nodes
GAUGEINT641
spanner_instance
Minimum number of nodes autoscaler is allowed to allocate to the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
instance/autoscaling/min_processing_units GA(project)
Autoscaling min processing units
GAUGEINT641
spanner_instance
Minimum number of processing units autoscaler is allowed to allocate to the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
instance/autoscaling/storage_utilization_target GA(project)
Autoscaling storage utilization target
GAUGEDOUBLE10^2.%
spanner_instance
Storage utilization target used for autoscaling. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
instance/backup/used_bytes GA(project)
Backup storage used
GAUGEINT64By
spanner_instance
Backup storage used in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Target database.
backup: Target backup.
instance/cpu/smoothed_utilization GA(project)
Smoothed CPU utilization
GAUGEDOUBLE10^2.%
spanner_instance
24-hour smoothed utilization of provisioned CPU. Values are typically numbers between 0.0 and 1.0 (but might exceed 1.0), charts display the values as a percentage between 0% and 100% (or more). Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Target database.
instance/cpu/utilization GA(project)
CPU utilization
GAUGEDOUBLE10^2.%
spanner_instance
Percent utilization of provisioned CPU. Values are typically numbers between 0.0 and 1.0 (but might exceed 1.0), charts display the values as a percentage between 0% and 100% (or more). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
database: Target database.
instance/cpu/utilization_by_operation_type GA(project)
CPU utilization by operation type
GAUGEDOUBLE10^2.%
spanner_instance
Percent utilization of provisioned CPU, by operation type. Values are typically numbers between 0.0 and 1.0 (but might exceed 1.0), charts display the values as a percentage between 0% and 100% (or more). Currently, it does not include CPU utilization for system tasks. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Target database.
is_system: (BOOL) TRUE if the number is system CPU utilization.
priority: Task priority ("high" or "medium" or "low").
category: Operation type ("read_readonly", "beginorcommit" etc).
instance/cpu/utilization_by_priority GA(project)
CPU utilization by priority
GAUGEDOUBLE10^2.%
spanner_instance
Percent utilization of provisioned CPU, by priority. Values are typically numbers between 0.0 and 1.0 (but might exceed 1.0), charts display the values as a percentage between 0% and 100% (or more). Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Target database.
is_system: (BOOL) TRUE if the number is system CPU utilization.
priority: Task priority ("high", "medium", or "low").
instance/cross_region_replicated_bytes_count GA(project)
Cross region replicated bytes
DELTAINT64By
spanner_instance
Number of bytes replicated from preferred leader to replicas across regions. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
database: Target database.
source_region: Preferred leader region.
destination_region: Cloud Spanner region the data is replicated to.
tag: Type of transaction contributing to replication.
instance/data_boost/processing_unit_second_count GA(project)
Processing unit second
DELTAINT641
spanner_instance
Total processing units used for DataBoost operations. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
credential_id: The IAM credential ID.
instance/dual_region_quorum_availability GA(project)
Dual Region Quorum Availability
GAUGEBOOL1
spanner_instance
Quorum availability signal for dual region instance configs. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
quorum_availability: Quorum availability level.
instance/leader_percentage_by_region GA(project)
Leader percentage by region
GAUGEDOUBLE10^2.%
spanner_instance
Percentage of leaders by cloud region. Values are typically numbers between 0.0 and 1.0, charts display the values as a percentage between 0% and 100%. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
database: Target database.
region: Cloud region containing the leaders.
instance/node_count GA(project)
Nodes
GAUGEINT641
spanner_instance
Total number of nodes. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/peak_split_cpu_usage_score GA(project)
Peak split cpu usage score
GAUGEDOUBLE1
spanner_instance
Maximum cpu usage score observed in a database across all splits. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
database: Target database.
instance/placement_row_limit GA(project)
Placement row limit
GAUGEINT641
spanner_instance
Upper limit for placement rows. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
instance/placement_row_limit_per_processing_unit GA(project)
Placement row limit per processing unit
GAUGEDOUBLE1
spanner_instance
Upper limit for placement rows per processing unit. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
instance/placement_rows GA(project)
Placement row count by database
GAUGEINT641
spanner_instance
Number of placement rows in a database. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
database: Target database.
instance/processing_units GA(project)
Processing units
GAUGEINT641
spanner_instance
Total number of processing units. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
instance/replica/cmek/total_keys BETA(project)
CMEK keys
GAUGEINT641
spanner_instance
Number of CMEK keys identified by database and key revocation status. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
database: Target database.
is_key_revoked: (BOOL) True if the CloudKMS key is revoked.
instance/session_count GA(project)
Sessions
GAUGEINT641
spanner_instance
Number of sessions in use. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Target database.
instance/storage/limit_bytes GA(project)
Storage limit
GAUGEINT64By
spanner_instance
Storage limit for instance in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
storage_class: Storage type.
instance/storage/limit_bytes_per_processing_unit GA(project)
Storage limit per processing unit
GAUGEINT64By
spanner_instance
Storage limit per processing unit in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
storage_class: Storage type.
instance/storage/used_bytes GA(project)
Storage used
GAUGEINT64By
spanner_instance
Storage used in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
database: Target database.
storage_class: Storage type.
instance/storage/utilization GA(project)
Storage utilization
GAUGEDOUBLE10^2.%
spanner_instance
Storage used as a fraction of storage limit. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
storage_class: Storage type.
lock_stat/total/lock_wait_time GA(project)
Lock wait time
DELTADOUBLEs
spanner_instance
Total lock wait time for lock conflicts recorded for the entire database. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
query_count GA(project)
Count of queries
DELTAINT641
spanner_instance
Count of queries by database name, status, query type, and used optimizer version. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
database: Target database.
status: Request call result, ok=success.
query_type: Type of query.
optimizer_version: (INT64) Optimizer version used by the query.
query_stat/total/bytes_returned_count GA(project)
Bytes returned count
DELTAINT64By
spanner_instance
Number of data bytes that the queries returned, excluding transmission encoding overhead. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
query_stat/total/cpu_time GA(project)
Query cpu time
DELTADOUBLEs
spanner_instance
Number of seconds of CPU time Cloud Spanner spent on operations to execute the queries. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
query_stat/total/execution_count GA(project)
Query execution count
DELTAINT641
spanner_instance
Number of times Cloud Spanner saw queries during the interval. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
query_stat/total/failed_execution_count GA(project)
Query failures
DELTAINT641
spanner_instance
Number of times queries failed during the interval. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
status: failed status, one of [cancelled, timeout, error].
query_stat/total/query_latencies GA(project)
Query latencies
DELTADISTRIBUTIONs
spanner_instance
Distribution of total length of time, in seconds, for query executions within the database. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
query_stat/total/remote_service_calls_count GA(project)
Remote service calls count
DELTAINT641
spanner_instance
Count of remote service calls. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
service: Target remote service.
response_code: (INT64) HTTP response code received, such as 200 or 500.
query_stat/total/remote_service_calls_latencies GA(project)
Remote service calls latencies
DELTADISTRIBUTIONms
spanner_instance
Latency of remote service calls. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
service: Target remote service.
response_code: (INT64) HTTP response code received, such as 200 or 500.
query_stat/total/remote_service_network_bytes_sizes GA(project)
Remote service network bytes
DELTADISTRIBUTIONBy
spanner_instance
Network bytes exchanged with remote service. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
service: Target remote service.
direction: Direction of traffic: sent or received.
query_stat/total/remote_service_processed_rows_count GA(project)
Remote service rows count
DELTAINT641
spanner_instance
Count of rows processed by a remote service. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
service: Target remote service.
response_code: (INT64) HTTP response code received, such as 200 or 500.
query_stat/total/remote_service_processed_rows_latencies GA(project)
Remote service rows latencies
DELTADISTRIBUTIONms
spanner_instance
Latency of rows processed by a remote service. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
service: Target remote service.
response_code: (INT64) HTTP response code received, such as 200 or 500.
query_stat/total/returned_rows_count GA(project)
Rows returned count
DELTAINT641
spanner_instance
Number of rows that the queries returned. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
query_stat/total/scanned_rows_count GA(project)
Rows scanned count
DELTAINT641
spanner_instance
Number of rows that the queries scanned excluding deleted values. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
read_stat/total/bytes_returned_count GA(project)
Bytes returned count
DELTAINT64By
spanner_instance
Total number of data bytes that the reads returned excluding transmission encoding overhead. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
read_stat/total/client_wait_time GA(project)
Client wait time
DELTADOUBLEs
spanner_instance
Number of seconds spent waiting due to throttling. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
read_stat/total/cpu_time GA(project)
Read cpu time
DELTADOUBLEs
spanner_instance
Number of seconds of CPU time Cloud Spanner spent execute the reads excluding prefetch CPU and other overhead. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
read_stat/total/execution_count GA(project)
Read execution count
DELTAINT641
spanner_instance
Number of times Cloud Spanner executed the read shapesduring the interval. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
read_stat/total/leader_refresh_delay GA(project)
Leader refresh delay
DELTADOUBLEs
spanner_instance
Number of seconds spent coordinating reads across instances in multi-regionconfigurations. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
read_stat/total/locking_delays GA(project)
Locking delays
DELTADISTRIBUTIONs
spanner_instance
Distribution of total time in seconds spent waiting due to locking. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
read_stat/total/returned_rows_count GA(project)
Rows returned count
DELTAINT641
spanner_instance
Number of rows that the reads returned. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
row_deletion_policy/deleted_rows_count GA(project)
Rows deleted
DELTAINT641
spanner_instance
Count of rows deleted by the policy since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
database: Target database.
row_deletion_policy/processed_watermark_age GA(project)
Processed watermark age
GAUGEINT64s
spanner_instance
Time between now and the read timestamp of the last successful execution. An execution happens as the background task deletes eligible data in batches and is successful even when there are rows that cannot be deleted. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
database: Target database.
row_deletion_policy/undeletable_rows GA(project)
Total number of undeletable rows
GAUGEINT641
spanner_instance
Number of rows in all tables in the database that can't be deleted. A row can't be deleted if, for example, it has so many child rows that a delete would exceed the transaction limit. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
database: Target database.
transaction_stat/total/bytes_written_count GA(project)
Bytes written
DELTAINT64By
spanner_instance
Number of bytes written by transactions. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
transaction_stat/total/commit_attempt_count GA(project)
Transaction commit attempts
DELTAINT641
spanner_instance
Number of commit attempts for transactions. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
status: Commit status ("success", "abort", or "precondition_failure")
transaction_stat/total/commit_retry_count GA(project)
Transaction commit retries
DELTAINT641
spanner_instance
Number of commit attempts that are retries from previously aborted transaction attempts. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
transaction_stat/total/participants GA(project)
Transaction participants
DELTADISTRIBUTION1
spanner_instance
Distribution of total number of participants in each commit attempt. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.
transaction_stat/total/transaction_latencies GA(project)
Transaction latencies
DELTADISTRIBUTIONs
spanner_instance
Distribution of total seconds takenfrom the first operation of the transaction to commit or abort. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
database: Target database.

storage

Metrics from Cloud Storage. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with storage.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
api/lro_count GA(project)
Operation count
DELTAINT641
gcs_bucket
Count of completed long-running operations, since the last sample. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
type: Operation type, such as "bulk-restore-objects" or "rename-folder".
canonical_code: Canonical code of the operation.error field, such as "OK" or "CANCELLED".
api/request_count GA(project)
Request count
DELTAINT641
gcs_bucket
Delta count of API calls, grouped by the API method name and response code. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
response_code: The response code of the requests.
method: The name of the API method called.
authn/authentication_count BETA(project)
Authentication count
DELTAINT641
gcs_bucket
Count of HMAC/RSA signed requests grouped by authentication method and access id. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
authentication_method: The authentication method (HMAC/RSA) used for the request.
response_code: The response code of the requests.
method: The name of the API method called.
access_id: The access id of the authentication key.
authz/acl_based_object_access_count GA(project)
Object-ACL based access count
DELTAINT641
gcs_bucket
Delta count of requests that result in an object being granted access solely due to object ACLs. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
authz/acl_operations_count GA(project)
ACLs usage
DELTAINT641
gcs_bucket
Usage of ACL operations broken down by type. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
acl_operation: Type of ACL operation.
authz/object_specific_acl_mutation_count GA(project)
Object ACL changes
DELTAINT641
gcs_bucket
Delta count of changes made to object specific ACLs. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
autoclass/transition_operation_count GA(project)
Autoclass transition count
DELTAINT641
gcs_bucket
Total number of storage class transition operations initiated by Autoclass. Sampled every 300 seconds. After sampling, data is not visible for up to 1200 seconds.
source_storage_class: The source storage class of the transition.
destination_storage_class: The destination storage class of the transition.
autoclass/transitioned_bytes_count GA(project)
Autoclass transitioned bytes count
DELTAINT64By
gcs_bucket
Total bytes transitioned by Autoclass. Sampled every 300 seconds. After sampling, data is not visible for up to 1200 seconds.
source_storage_class: The source storage class of the transition.
destination_storage_class: The destination storage class of the transition.
client/grpc/client/attempt/duration BETA(project)
End-to-end time taken to complete an RPC attempt
CUMULATIVEDISTRIBUTIONs
storage.googleapis.com/Client
End-to-end time taken to complete an RPC attempt including the time it takes to pick a subchannel.
grpc_lb_locality: The locality to which the traffic is being sent. This will be set to the resolver attribute passed down from the weighted_target policy, or the empty string if the resolver attribute is unset.
grpc_status: gRPC server status code received, e.g. "OK", "CANCELLED", "DEADLINE_EXCEEDED".
grpc_method: Full gRPC method name, including package, service and method.
grpc_target: Canonicalized target URI used when creating gRPC Channel.
client/grpc/client/attempt/rcvd_total_compressed_message_size BETA(project)
Total bytes (compressed but not encrypted) received across all response messages (metadata excluded) per RPC attempt
CUMULATIVEDISTRIBUTIONBy
storage.googleapis.com/Client
Total bytes (compressed but not encrypted) received across all response messages (metadata excluded) per RPC attempt; does not include grpc or transport framing bytes.
grpc_lb_locality: The locality to which the traffic is being sent. This will be set to the resolver attribute passed down from the weighted_target policy, or the empty string if the resolver attribute is unset.
grpc_status: gRPC server status code received, e.g. "OK", "CANCELLED", "DEADLINE_EXCEEDED".
grpc_method: Full gRPC method name, including package, service and method.
grpc_target: Canonicalized target URI used when creating gRPC Channel.
client/grpc/client/attempt/sent_total_compressed_message_size BETA(project)
Total bytes (compressed but not encrypted) sent across all request messages (metadata excluded) per RPC attempt
CUMULATIVEDISTRIBUTIONBy
storage.googleapis.com/Client
Total bytes (compressed but not encrypted) sent across all request messages (metadata excluded) per RPC attempt; does not include grpc or transport framing bytes.
grpc_lb_locality: The locality to which the traffic is being sent. This will be set to the resolver attribute passed down from the weighted_target policy, or the empty string if the resolver attribute is unset.
grpc_status: gRPC server status code received, e.g. "OK", "CANCELLED", "DEADLINE_EXCEEDED".
grpc_method: Full gRPC method name, including package, service and method.
grpc_target: Canonicalized target URI used when creating gRPC Channel.
client/grpc/client/attempt/started BETA(project)
The total number of RPC attempts started
CUMULATIVEINT64{attempt}
storage.googleapis.com/Client
The total number of RPC attempts started, including those that have not completed.
grpc_method: Full gRPC method name, including package, service and method.
grpc_target: Canonicalized target URI used when creating gRPC Channel.
client/grpc/client/call/duration BETA(project)
End-to-end time the gRPC library takes to complete an RPC from the application’s perspective.
CUMULATIVEDISTRIBUTIONs
storage.googleapis.com/Client
This metric aims to measure the end-to-end time the gRPC library takes to complete an RPC from the application’s perspective.
grpc_status: gRPC server status code received, e.g. "OK", "CANCELLED", "DEADLINE_EXCEEDED".
grpc_method: Full gRPC method name, including package, service and method.
grpc_target: Canonicalized target URI used when creating gRPC Channel.
client/grpc/lb/rls/cache_entries BETA(project)
Number of entries in the RLS cache
GAUGEINT64{entry}
storage.googleapis.com/Client
Number of entries in the RLS cache.
grpc_lb_rls_server_target: The target URI of the RLS server to talk to.
grpc_lb_rls_instance_uuid: A UUID for an individual RLS client instance. The value is not meaningful by itself, but it is useful for differentiating between RLS client instances in cases where there are either multiple instances in the same gRPC channel or where there are multiple channels to the same target.
grpc_target: Indicates the target of the gRPC channel in which WRR is used.
client/grpc/lb/rls/cache_size BETA(project)
The current size of the RLS cache
GAUGEINT64By
storage.googleapis.com/Client
The current size of the RLS cache.
grpc_lb_rls_server_target: The target URI of the RLS server to talk to.
grpc_lb_rls_instance_uuid: A UUID for an individual RLS client instance. The value is not meaningful by itself, but it is useful for differentiating between RLS client instances in cases where there are either multiple instances in the same gRPC channel or where there are multiple channels to the same target.
grpc_target: Indicates the target of the gRPC channel in which RLS is used.
client/grpc/lb/rls/default_target_picks BETA(project)
Number of LB picks sent to the default target
CUMULATIVEINT64{pick}
storage.googleapis.com/Client
Number of LB picks sent to the default target.
grpc_lb_rls_server_target: The target URI of the RLS server to talk to.
grpc_lb_rls_data_plane_target: A target string used by RLS for routing data plane traffic. The value is either returned by the RLS server for a particular key or configured as the default target in the RLS config.
grpc_lb_pick_result: The result of an LB pick. This will be one of the values "complete", "fail", or "drop".
grpc_target: Indicates the target of the gRPC channel in which RLS is used.
client/grpc/lb/rls/failed_picks BETA(project)
Number of LB failed picks
CUMULATIVEINT64{pick}
storage.googleapis.com/Client
Number of LB picks failed due to either a failed RLS request or the RLS channel being throttled.
grpc_lb_rls_server_target: The target URI of the RLS server to talk to.
grpc_target: Indicates the target of the gRPC channel in which RLS is used.
client/grpc/lb/rls/target_picks BETA(project)
Number of LB picks sent to each RLS target
CUMULATIVEINT64{pick}
storage.googleapis.com/Client
Number of LB picks sent to each RLS target. Note that if the default target is also returned by the RLS server, RPCs sent to that target from the cache will be counted in this metric, not in grpc.rls.default_target_picks.
grpc_lb_rls_server_target: The target URI of the RLS server to talk to.
grpc_lb_rls_data_plane_target: A target string used by RLS for routing data plane traffic. The value is either returned by the RLS server for a particular key or configured as the default target in the RLS config.
grpc_lb_pick_result: The result of an LB pick. This will be one of the values "complete", "fail", or "drop".
grpc_target: Indicates the target of the gRPC channel in which RLS is used.
client/grpc/lb/wrr/endpoint_weight_not_yet_usable BETA(project)
Number of unusable endpoints
CUMULATIVEINT64{endpoint}
storage.googleapis.com/Client
Number of endpoints from each scheduler update that do not yet have usable weight information (i.e., either the load report has not yet been received, or it is within the blackout period).
grpc_lb_locality: The locality to which the traffic is being sent. This will be set to the resolver attribute passed down from the weighted_target policy, or the empty string if the resolver attribute is unset.
grpc_target: Indicates the target of the gRPC channel in which WRR is used.
client/grpc/lb/wrr/endpoint_weight_stale BETA(project)
Number of stale endpoints
CUMULATIVEINT64{endpoint}
storage.googleapis.com/Client
Number of endpoints from each scheduler update whose latest weight is older than the expiration period.
grpc_lb_locality: The locality to which the traffic is being sent. This will be set to the resolver attribute passed down from the weighted_target policy, or the empty string if the resolver attribute is unset.
grpc_target: Indicates the target of the gRPC channel in which WRR is used.
client/grpc/lb/wrr/endpoint_weights BETA(project)
Endpoint weight ranges
CUMULATIVEDISTRIBUTION{weight}
storage.googleapis.com/Client
The histogram buckets will be endpoint weight ranges. Each bucket will be a counter that is incremented once for every endpoint whose weight is within that range. Note that endpoints without usable weights will have weight 0.
grpc_lb_locality: The locality to which the traffic is being sent. This will be set to the resolver attribute passed down from the weighted_target policy, or the empty string if the resolver attribute is unset.
grpc_target: Indicates the target of the gRPC channel in which WRR is used.
client/grpc/lb/wrr/rr_fallback BETA(project)
RR fallbacks caused the WRR policy
CUMULATIVEINT64{update}
storage.googleapis.com/Client
Number of scheduler updates in which there were not enough endpoints with valid weight, which caused the WRR policy to fall back to RR behavior.
grpc_lb_locality: The locality to which the traffic is being sent. This will be set to the resolver attribute passed down from the weighted_target policy, or the empty string if the resolver attribute is unset.
grpc_target: Indicates the target of the gRPC channel in which WRR is used.
client/grpc/xds_client/connected BETA(project)
Whether or not the xDS client currently has a working ADS stream to the xDS server
GAUGEINT64{bool}
storage.googleapis.com/Client
Whether or not the xDS client currently has a working ADS stream to the xDS server. For a given server, this will be set to 1 when the stream is initially created. It will be set to 0 when we have a connectivity failure or when the ADS stream fails without seeing a response message, as per A57. Once set to 0, it will be reset to 1 when we receive the first response on an ADS stream.
grpc_xds_server: The target URI of the xDS server with which the XdsClient is communicating.
grpc_target: For clients, indicates the target of the gRPC channel in which the XdsClient is used. For servers, will be the string "#server".
client/grpc/xds_client/resource_updates_invalid BETA(project)
A counter of resources received that were considered invalid
CUMULATIVEINT64{resource}
storage.googleapis.com/Client
A counter of resources received that were considered invalid.
grpc_xds_server: The target URI of the xDS server with which the XdsClient is communicating.
grpc_xds_resource_type: Indicates an xDS resource type, such as "envoy.config.listener.v3.Listener".
grpc_target: For clients, indicates the target of the gRPC channel in which the XdsClient is used. For servers, will be the string "#server".
client/grpc/xds_client/resource_updates_valid BETA(project)
A counter of resources received that were considered valid
CUMULATIVEINT64{resource}
storage.googleapis.com/Client
A counter of resources received that were considered valid. The counter will be incremented even for resources that have not changed.
grpc_xds_server: The target URI of the xDS server with which the XdsClient is communicating.
grpc_xds_resource_type: Indicates an xDS resource type, such as "envoy.config.listener.v3.Listener".
grpc_target: For clients, indicates the target of the gRPC channel in which the XdsClient is used. For servers, will be the string "#server".
client/grpc/xds_client/resources BETA(project)
Number of xDS resources
GAUGEINT64{resource}
storage.googleapis.com/Client
Number of xDS resources.
grpc_xds_authority: The xDS authority. The value will be "#old" for old-style non-xdstp resource names.
grpc_xds_resource_type: Indicates an xDS resource type, such as "envoy.config.listener.v3.Listener".
grpc_xds_cache_state: Indicates the cache state of an xDS resource.
grpc_target: For clients, indicates the target of the gRPC channel in which the XdsClient is used. For servers, will be the string "#server".
client/grpc/xds_client/server_failure BETA(project)
A counter of xDS servers going from healthy to unhealthy
CUMULATIVEINT64{failure}
storage.googleapis.com/Client
A counter of xDS servers going from healthy to unhealthy. A server goes unhealthy when we have a connectivity failure or when the ADS stream fails without seeing a response message, as per gRFC A57.
grpc_xds_server: The target URI of the xDS server with which the XdsClient is communicating.
grpc_target: For clients, indicates the target of the gRPC channel in which the XdsClient is used. For servers, will be the string "#server".
network/received_bytes_count GA(project)
Received bytes
DELTAINT64By
gcs_bucket
Delta count of bytes received over the network, grouped by the API method name and response code. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
response_code: The response code of the requests.
method: The name of the API method called.
network/sent_bytes_count GA(project)
Sent bytes
DELTAINT64By
gcs_bucket
Delta count of bytes sent over the network, grouped by the API method name and response code. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
response_code: The response code of the requests.
method: The name of the API method called.
quota/dualregion_google_egress_bandwidth/limit GA(project)
Dualregion Google Egress Bandwidth quota limit
GAUGEINT64bit
storage.googleapis.com/Project
Current limit on quota metric storage.googleapis.com/dualregion_google_egress_bandwidth. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
dualregion_location: The dualregion location of the GCS bucket.
quota/dualregion_google_egress_bandwidth/usage GA(project)
Dualregion Google Egress Bandwidth quota usage
DELTAINT64bit
storage.googleapis.com/Project
Current usage on quota metric storage.googleapis.com/dualregion_google_egress_bandwidth. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
dualregion_location: The dualregion location of the GCS bucket.
quota/dualregion_internet_egress_bandwidth/limit GA(project)
Dualregion Internet Egress Bandwidth quota limit
GAUGEINT64bit
storage.googleapis.com/Project
Current limit on quota metric storage.googleapis.com/dualregion_internet_egress_bandwidth. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
dualregion_location: The dualregion location of the GCS bucket.
quota/dualregion_internet_egress_bandwidth/usage GA(project)
Dualregion Internet Egress Bandwidth quota usage
DELTAINT64bit
storage.googleapis.com/Project
Current usage on quota metric storage.googleapis.com/dualregion_internet_egress_bandwidth. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
dualregion_location: The dualregion location of the GCS bucket.
replication/meeting_rpo BETA(project)
Meeting RPO
GAUGEBOOL1
gcs_bucket
A boolean value of whether objects are meeting RPO or not. For ASYNC_TURBO, RPO is 15 minutes; For DEFAULT, RPO is 12 hours. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
rpo: Recovery Point Objective of the bucket, one of [ASYNC_TURBO - turbo replication, DEFAULT - default replication].
replication/missing_rpo_minutes_last_30d BETA(project)
Minutes missing Recovery Point Objective (RPO) in last 30d
GAUGEINT641
gcs_bucket
Total number of minutes where the Recovery Point Objective (RPO) was missed, as measured over the most recent 30 days. The metric is delayed by storage.googleapis.com/replication/time_since_metrics_updated. Sampled every 60 seconds. After sampling, data is not visible for up to 3720 seconds.
rpo: Recovery Point Objective of the bucket, one of [ASYNC_TURBO - turbo replication, DEFAULT - default replication].
replication/object_replications_last_30d BETA(project)
Object replications in last 30d
GAUGEINT641
gcs_bucket
Total number of object replications, as measured over the most recent 30 days. The metric can be broken down by whether each object replication was meeting or missing Recovery Point Objective (RPO). The metric is delayed by storage.googleapis.com/replication/time_since_metrics_updated. Sampled every 60 seconds. After sampling, data is not visible for up to 3720 seconds.
rpo: Recovery Point Objective of the bucket, one of [ASYNC_TURBO - turbo replication, DEFAULT - default replication].
meeting_rpo: (BOOL) Whether the object replication was meeting Recovery Point Objective (RPO).
replication/time_since_metrics_updated BETA(project)
Time since replication metrics were updated
GAUGEINT64s
gcs_bucket
Seconds since the last time when storage.googleapis.com/replication/* metrics were calculated. Sampled every 60 seconds. After sampling, data is not visible for up to 3720 seconds.
rpo: Recovery Point Objective of the bucket, one of [ASYNC_TURBO - turbo replication, DEFAULT - default replication].
replication/turbo_max_delay BETA(project)
Maximum delay in Turbo replication
GAUGEINT64s
gcs_bucket
Delay represents the age in seconds of the oldest object that has not been replicated. Objects uploaded before this time have been replicated. Sampled every 60 seconds. After sampling, data is not visible for up to 210 seconds.
replication/v2/object_replications_last_30d BETA(project)
Object replications in last 30d
GAUGEINT641
gcs_bucket
Total number of object replications, as measured over the most recent 30 days. The metric can be broken down by whether each object replication was meeting or missing the design target. The metric is delayed by storage.googleapis.com/replication/v2/time_since_metrics_updated. Sampled every 60 seconds. After sampling, data is not visible for up to 3720 seconds.
rpo: Recovery Point Objective of the bucket, one of [ASYNC_TURBO - turbo replication, DEFAULT - default replication].
target: Replication design target. ASYNC_TURBO has one design target - 15 min RPO. DEFAULT has two design targets - 99.9% of newly written objects within 1 hr, and 12 hour RPO.
meeting_target: (BOOL) Whether the object replication was meeting the design target.
replication/v2/time_since_metrics_updated BETA(project)
Time since replication metrics were updated
GAUGEINT64s
gcs_bucket
Seconds since the last time when metric storage.googleapis.com/replication/missing_rpo_minutes_last_30dand /replication/v2/object_replications_last_30d were calculated. Sampled every 60 seconds. After sampling, data is not visible for up to 3720 seconds.
rpo: Recovery Point Objective of the bucket, one of [ASYNC_TURBO - turbo replication, DEFAULT - default replication].
target: Replication design target. ASYNC_TURBO has one design target - 15 min RPO. DEFAULT has two design targets - 99.9% of newly written objects within 1 hr, and 12 hour RPO.
storage/object_count GA(project)
Object count
GAUGEINT641
gcs_bucket
Total number of objects per bucket, grouped by storage class. Soft-deleted objects are not included in the total; use the updated v2 metric for a breakdown of total usage including soft-deleted objects. This value is measured once per day, and there might be a delay after measuring before the value becomes available in Cloud Monitoring. Once available, the value is repeated at each sampling interval throughout the day. Buckets with no objects in them are not tracked by this metric. For this metric, the sampling period is a reporting period, not a measurement period. Sampled every 300 seconds. After sampling, data is not visible for up to 690 seconds.
storage_class: Storage class of the data.
storage/total_byte_seconds GA(project)
Total byte seconds
GAUGEDOUBLEBy.s
gcs_bucket
Total daily storage in byte*seconds used by the bucket, grouped by storage class. Soft-deleted objects are not included in the total; use the updated v2 metric for a breakdown of total usage including soft-deleted objects. This value is measured once per day, and there might be a delay after measuring before the value becomes available in Cloud Monitoring. Once available, the value is repeated at each sampling interval throughout the day. Buckets with no objects in them are not tracked by this metric. For this metric, the sampling period is a reporting period, not a measurement period. Sampled every 300 seconds. After sampling, data is not visible for up to 690 seconds.
storage_class: Storage class of the data.
storage/total_bytes GA(project)
Total bytes
GAUGEDOUBLEBy
gcs_bucket
Total size of all objects in the bucket, grouped by storage class. Soft-deleted objects are not included in the total; use the updated v2 metric for a breakdown of total usage including soft-deleted objects. This value is measured once per day, and there might be a delay after measuring before the value becomes available in Cloud Monitoring. Once available, the value is repeated at each sampling interval throughout the day. Buckets with no objects in them are not tracked by this metric. For this metric, the sampling period is a reporting period, not a measurement period. Sampled every 300 seconds. After sampling, data is not visible for up to 690 seconds.
storage_class: Storage class of the data.
storage/v2/deleted_bytes BETA(project)
Deleted Bytes (v2)
DELTAINT64By
gcs_bucket
Delta count of deleted bytes per bucket, grouped by storage class. This value is measured and reported once per day, and there might be a delay after measuring before the value becomes available in Cloud Monitoring. On days with no deletes, no datapoint is exported for this metric. Sampled every 86400 seconds. After sampling, data is not visible for up to 86400 seconds.
storage_class: Storage class of the data.
storage/v2/total_byte_seconds BETA(project)
Total byte seconds (v2)
GAUGEDOUBLEBy.s
gcs_bucket
Total daily storage in byte*seconds used by the bucket, grouped by storage class and type where type can be live-object, noncurrent-object, soft-deleted-object and multipart-upload. This value is measured once per day, and there might be a delay after measuring before the value becomes available in Cloud Monitoring. Once available, the value is repeated at each sampling interval throughout the day. Buckets with no objects in them are not tracked by this metric. For this metric, the sampling period is a reporting period, not a measurement period. Sampled every 300 seconds. After sampling, data is not visible for up to 690 seconds.
storage_class: Storage class of the data.
type: Type of the data.
storage/v2/total_bytes BETA(project)
Total bytes (v2)
GAUGEDOUBLEBy
gcs_bucket
Total size of all objects and multipart-uploads in the bucket, grouped by storage class and type where type can be live-object, noncurrent-object, soft-deleted-object and multipart-upload. This value is measured once per day, and there might be a delay after measuring before the value becomes available in Cloud Monitoring. Once available, the value is repeated at each sampling interval throughout the day. Buckets with no objects in them are not tracked by this metric. For this metric, the sampling period is a reporting period, not a measurement period. Sampled every 300 seconds. After sampling, data is not visible for up to 690 seconds.
storage_class: Storage class of the data.
type: Type of the data.
storage/v2/total_count BETA(project)
Total count (v2)
GAUGEINT641
gcs_bucket
Total number of objects and multipart-uploads per bucket, grouped by storage class and type where type can be live-object, noncurrent-object, soft-deleted-object and multipart-upload. This value is measured once per day, and there might be a delay after measuring before the value becomes available in Cloud Monitoring. Once available, the value is repeated at each sampling interval throughout the day. Buckets with no objects in them are not tracked by this metric. For this metric, the sampling period is a reporting period, not a measurement period. Sampled every 300 seconds. After sampling, data is not visible for up to 690 seconds.
storage_class: Storage class of the data.
type: Type of the data.

storagetransfer

Metrics from Storage Transfer Service. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with storagetransfer.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
agent/connected BETA(project)
Agent connected status
GAUGEBOOL
transfer_service_agent
Indicates whether or not a Transfer Service agent is connected. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
agent/transferred_bytes_count BETA(project)
Agent transfer delta
DELTAINT64By
transfer_service_agent
Delta of bytes transferred by a Transfer Service agent. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
transferjob/copied_bytes_count BETA(project)
Copied bytes count
DELTAINT64By
storage_transfer_job
Number of bytes copied to the data sink. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
status: The status of copying the bytes; can be 'succeeded', 'skipped' due to sync, or 'failed'.
transferjob/copied_objects_count BETA(project)
Copied objects count
DELTAINT641
storage_transfer_job
Number of objects copied to the data sink. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
status: The status of copying the objects; can be 'succeeded', 'skipped' due to sync, or 'failed'.
transferjob/deleted_bytes_count BETA(project)
Deleted bytes count
DELTAINT64By
storage_transfer_job
Number of bytes deleted from the data source or sink. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
status: The status of deleting the bytes; can be 'succeeded' or 'failed'.
origin: The location where the bytes are deleted; can be 'source' or 'sink'.
transferjob/deleted_objects_count BETA(project)
Deleted objects count
DELTAINT641
storage_transfer_job
Number of objects deleted from the data source or sink. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
status: The status of deleting the objects; can be 'succeeded' or 'failed'.
origin: The location where the objects are deleted; can be 'source' or 'sink'.
transferjob/error_count BETA(project)
Error count
DELTAINT641
storage_transfer_job
Number of errors encountered during the transfer, grouped by canonical error code. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
code: The canonical error code of the error, such as 'NOT_FOUND' or 'PERMISSION_DENIED'.
transferjob/found_bytes_count BETA(project)
Found bytes count
DELTAINT64By
storage_transfer_job
Number of bytes found that are scheduled to be transferred or deleted, excluding any that are filtered based on object conditions or skipped due to sync. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
origin: The location where the bytes are found; can be 'source' or 'sink'.
transferjob/found_objects_count BETA(project)
Found objects count
DELTAINT641
storage_transfer_job
Number of objects found that are scheduled to be transferred or deleted, excluding any that are filtered based on object conditions or skipped due to sync. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
origin: The location where the objects are found; can be 'source' or 'sink'.
transferjob/object_replication_count BETA(project)
Replicated objects count
DELTAINT641
storage_transfer_job
The number of objects replicated via Cross-bucket replication. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
status: The status of the object replication can be 'succeeded' or 'failed'.
source_bucket: The name of the source bucket.
transferjob/replication_latency BETA(project)
Replication latency
DELTADISTRIBUTIONms
storage_transfer_job
Completion latency for the object to be replicated via Cross-bucket replication.
source_bucket: The name of the source bucket.

telcoautomation

Metrics from Telecom Network Automation. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with telcoautomation.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
deployment/update_count BETA(project)
Deployment Updates
CUMULATIVEINT641
telcoautomation.googleapis.com/OrchestrationCluster
Total count of the 'updates' to the NFDeployment, with specific status codes.
source: The source of the status could be deployment creation, deletion or an EdgeEvent.
status: Status of the update.
deployment/update_failures BETA(project)
Deployment Update Failures
CUMULATIVEINT641
telcoautomation.googleapis.com/OrchestrationCluster
Total count of the 'updates' failed to be written.
edgecontainer/request_count BETA(project)
Edgecontainer Requests
CUMULATIVEINT641
telcoautomation.googleapis.com/OrchestrationCluster
Requests to EdgeContainer API.
resource_type: The type of resource (EdgeCluster, EdgeMahcine etc.) that request is based upon.
operation_type: The operation type (create, delete etc.) of the request.
status: Status of the request.
edgecontainer/update_count BETA(project)
Edgecontainer Updates
CUMULATIVEINT641
telcoautomation.googleapis.com/OrchestrationCluster
Total count of the 'updates' to the EdgeContainer CRs, with specific status code.
resource_type: The type of resource: EdgeCluster, EdgeMahcine etc.
status: Status of the update.
edgecontainer/update_failures BETA(project)
Edgecontainer Update Failures
CUMULATIVEINT641
telcoautomation.googleapis.com/OrchestrationCluster
Total count of the 'updates' failed to be written.
edgenetwork/request_count BETA(project)
Edgenetwork Requests
CUMULATIVEINT641
telcoautomation.googleapis.com/OrchestrationCluster
Requests to EdgeNetwork API.
resource_type: The type of resource (EdgeRouter, EdgeSubnet etc.) that request is based upon.
operation_type: The operation type (create, delete etc.) of the request.
status: Status of the request.
edgenetwork/update_count BETA(project)
Edgenetwork Updates
CUMULATIVEINT641
telcoautomation.googleapis.com/OrchestrationCluster
Total count of the 'updates' to the EdgeNetwork CRs, with specific status code.
resource_type: The type of resource: EdgeRouter, EdgeSubnet etc.
status: Status of the update.
edgenetwork/update_failures BETA(project)
Edgenetwork Update Failures
CUMULATIVEINT641
telcoautomation.googleapis.com/OrchestrationCluster
Total count of the 'updates' failed to be written.

tpu

Metrics from Cloud TPU. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with tpu.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
accelerator/duty_cycle BETA(project)
Accelerator Duty Cycle
GAUGEDOUBLE%
tpu.googleapis.com/GceTpuWorker
Percentage of time over the sample period during which the accelerator was actively processing. Values are in the range of [0,100].
accelerator_id: Device Id of Accelerator.
accelerator/memory_bandwidth_utilization BETA(project)
Accelerator Memory Bandwidth Utilization
GAUGEDOUBLE%
tpu.googleapis.com/GceTpuWorker
Current percentage of the accelerator memory bandwidth that is being used. Computed by dividing the memory bandwidth used over a sample period by the maximum supported bandwidth over the same sample period.
accelerator_id: Device Id of Accelerator.
accelerator/memory_total BETA(project)
Accelerator Total Memory
GAUGEINT64By
tpu.googleapis.com/GceTpuWorker
Total accelerator memory currently allocated in bytes.
accelerator_id: Device Id of Accelerator.
accelerator/memory_used BETA(project)
Accelerator Memory Used
GAUGEINT64By
tpu.googleapis.com/GceTpuWorker
Total accelerator memory currently used in bytes.
accelerator_id: Device Id of Accelerator.
accelerator/tensorcore_utilization BETA(project)
Accelerator TensorCore Utilization
GAUGEDOUBLE%
tpu.googleapis.com/GceTpuWorker
Current percentage of the Tensorcore that is utilized. Computed by dividing the Tensorcore operations that were performed over a sample period by the supported number of Tensorcore operations over the same sample period.
accelerator_id: Device Id of Accelerator.
container/cpu/utilization BETA(project)
Container CPU utilization
GAUGEDOUBLE%
tpu_worker
Current CPU utilization of the docker container on the TPU worker. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
container_name: The docker container name.
container/memory/usage BETA(project)
Container memory usage
GAUGEDOUBLEBy
tpu_worker
Current memory usage of the docker container on the TPU worker. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
container_name: The docker container name.
cpu/utilization BETA(project)
CPU utilization
GAUGEDOUBLE%
tpu_worker
Current CPU utilization on the TPU worker, represented as a percentage. Values are typically numbers between 0.0 and 100.0, but might exceed 100.0. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
core: The CPU core in use.
instance/uptime_total GA(project)
Uptime Total
GAUGEINT64s
tpu.googleapis.com/GceTpuWorker
Elapsed time since the VM was started, in seconds. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
memory/usage BETA(project)
Memory usage
GAUGEINT64By
tpu_worker
Memory usage in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
multislice/accelerator/device_to_host_transfer_latencies BETA(project)
Device to Host Transfer Latencies
CUMULATIVEDISTRIBUTIONus
tpu.googleapis.com/GceTpuWorker
Cumulative distribution of device to host transfer latency for each chunk of data. A latency starts when the request for data to be transferred to the host is issued and ends when an acknowledgement is received that the transfer of data has completed.
buffer_size: Size of the buffer.
multislice/accelerator/host_to_device_transfer_latencies BETA(project)
Host to Device Transfer Latencies
CUMULATIVEDISTRIBUTIONus
tpu.googleapis.com/GceTpuWorker
Cumulative distribution of host to device transfer latency for each chunk of data of multislice traffic. A latency starts when the request for data to be transferred to the device is issued and ends when an acknowledgement is received that the transfer of data has completed.
buffer_size: Size of the buffer.
multislice/network/collective_end_to_end_latencies BETA(project)
Collective End to End Latencies
CUMULATIVEDISTRIBUTIONus
tpu.googleapis.com/GceTpuWorker
Cumulative distribution of end to end collective latency for multislice traffic. A latency starts when the request for the collective is issued and ends when an acknowledgement is received that the transfer of data has completed.
input_size: Size of the buffer.
collective_type: Collective operation type.
multislice/network/dcn_transfer_latencies BETA(project)
DCN Transfer Latencies
CUMULATIVEDISTRIBUTIONus
tpu.googleapis.com/GceTpuWorker
Cumulative distribution of network-transfer latencies for multislice traffic. A latency starts when the request for data to be transferred over the DCN is issued and ends when an acknowledgement is received that the transfer of data has completed.
buffer_size: Size of the buffer.
type: Protocol type.
network/received_bytes_count BETA(project)
Network bytes received
DELTAINT64By
tpu_worker
Cumulative bytes of data this server has received over the network. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
network/sent_bytes_count BETA(project)
Network bytes sent
DELTAINT64By
tpu_worker
Cumulative bytes of data this server has sent over the network. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
tpu/mxu/utilization BETA(project)
MXU utilization
GAUGEDOUBLE%
tpu_worker
Current MXU utilization on the TPU worker, represented as a percentage. Values are typically numbers between 0.0 and 100.0. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
tpu/tensorcore/idle_duration BETA(project)
Tensorcore idle duration
GAUGEINT64s
tpu_worker
The number of seconds tensorcore has been idle for. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
chip: The chip ID.

trafficdirector

Metrics from Cloud Service Mesh. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with trafficdirector.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
xds/server/connected_clients GA(project)
Connected clients
GAUGEINT641
gateway_scope
gce_network
mesh
The number of clients connected to Traffic Director. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
client_type: Type of xDS_client connected to Traffic Director, one of [ENVOY, GRPC_JAVA, GRPC_CPP GRPC_PYTHON, GRPC_GO, GRPC_RUBY, GRPC_PHP, GRPC_NODE, GRPC_CSHARP, UNKNOWN].
api_version: The xDS API version used by xDS clients to connect to Traffic Director, one of [V2, V3].
client_zone: The Google Cloud zone where xDS clients are running.
xds/server/request_count GA(project)
Request count
DELTAINT641
gce_backend_service
The number of requests served by a backend service. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
source_region: The Google Cloud region which is the source of the request.
destination_region: The Google Cloud region which is the destination of the request.
status: The status of the request, one of [ISSUED, SUCCESS, ERROR].
xds/server/request_count_by_zone GA(project)
Request count by zone
DELTAINT641
gce_backend_service
The number of requests served by a backend service grouped by zone. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
source_zone: The Google Cloud zone which is the source of the request.
destination_zone: The Google Cloud zone which is the destination of the request.
status: The status of the request, one of [issued, success, error].

transferappliance

Metrics from Transfer Appliance. Launch stages of these metrics: ALPHA BETA

The "metric type" strings in this table must be prefixed with transferappliance.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
appliance/cpu/load_average ALPHA(project)
Average CPU load
GAUGEDOUBLE10^2.%
transferappliance.googleapis.com/Appliance
CPU load average over the past sample period. Sampled every 60 seconds.
sample_period: Sample collection interval to calculate CPU load, one of ["1min", "5mins", "15mins"].
appliance/disk/health ALPHA(project)
Disk health
GAUGEBOOL1
transferappliance.googleapis.com/Appliance
Reports the health status of each disk. Sampled every 3600 seconds.
id: ID of the disk.
type: Disk health evaluation standards, for example, "vendor_reported".
appliance/disk/partition/total_bytes ALPHA(project)
Disk partition total space
GAUGEINT64By
transferappliance.googleapis.com/Appliance
The total space of each disk partition. Sampled every 60 seconds.
type: The type of the disk partition, for example, "root", "metadata", "srv", "data", etc.
appliance/disk/partition/used_bytes ALPHA(project)
Disk partiton used space
GAUGEINT64By
transferappliance.googleapis.com/Appliance
The used space of each disk partition. Sampled every 60 seconds.
type: The type of the disk partition, for example, "root", "metadata", "srv", "data", etc.
appliance/hardware/health ALPHA(project)
Hardware component health
GAUGEBOOL1
transferappliance.googleapis.com/Appliance
Reports if the specific hardware component works properly. Sampled every 3600 seconds.
type: The type of the hardware component, for example, "power_supply", "fan", "cache_vault", etc.
appliance/network/bytes_received ALPHA(project)
Network bytes received per interface
GAUGEINT64By
transferappliance.googleapis.com/Appliance
Reports the amount of bytes received per interface. Sampled every 60 seconds.
interface: Name of the interface, for example, eno1, eno2, enp26s0f1, ens26, etc.
appliance/network/bytes_sent ALPHA(project)
Network bytes sent per interface
GAUGEINT64By
transferappliance.googleapis.com/Appliance
Reports the amount of bytes sent per interface. Sampled every 60 seconds.
interface: Name of the interface, for example, eno1, eno2, enp26s0f1, ens26, etc.
appliance/network/connectivity ALPHA(project)
Interface network connectivity
GAUGEBOOL1
transferappliance.googleapis.com/Appliance
Reports if the interface network is reachable. Sampled every 60 seconds.
interface: Name of the interface, for example, eno1, eno2, enp26s0f1, ens26, etc.
appliance/network/dns_health ALPHA(project)
DNS health
GAUGEBOOL1
transferappliance.googleapis.com/Appliance
Reports if the DNS configuration works well. Sampled every 60 seconds.
appliance/network/packets_received ALPHA(project)
Network packets received per interface
GAUGEINT641
transferappliance.googleapis.com/Appliance
Reports the amount of packets received per interface. Sampled every 60 seconds.
interface: Name of the interface, for example, eno1, eno2, enp26s0f1, ens26, etc.
status: Status of the packet transmission, one of ["success" - healthy packets; "dropped" - discarded packets; "error" - packets errors].
appliance/network/packets_sent ALPHA(project)
Network packets sent per interface
GAUGEINT641
transferappliance.googleapis.com/Appliance
Reports the amount of packets sent per interface. Sampled every 60 seconds.
interface: Name of the interface, for example, eno1, eno2, enp26s0f1, ens26, etc.
status: Status of the packet transmission, one of ["success" - healthy packets; "dropped" - discarded packets; "error" - packets errors].
appliance/service/state ALPHA(project)
Service state
GAUGEBOOL1
transferappliance.googleapis.com/Appliance
Reports the running status of the service. Sampled every 60 seconds.
name: Name of the service.
appliance/storage/stored_bytes BETA(project)
Stored bytes
GAUGEINT64By
transferappliance.googleapis.com/Appliance
The current number of bytes stored in the storage buffer of the appliance. Sampled every 60 seconds.
appliance/transfer/health BETA(project)
Transfer health
GAUGEBOOL1
transferappliance.googleapis.com/Appliance
Is on-prem transfer software currently running?. Sampled every 60 seconds.
appliance/version ALPHA(project)
Appliance component version
GAUGEBOOL
transferappliance.googleapis.com/Appliance
Current version of the specific appliance component. Sampled every 300 seconds.
type: Component type, for example, os, ta, samba, containerd_server, containerd_client, kubelet, etc.
version: The version of the appliance component.

translationhub

Metrics from Translation Hub. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with translationhub.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
quota/document_pages/exceeded BETA(project)
Translation Hub document pages quota exceeded error
DELTAINT641
translationhub.googleapis.com/Portal
Number of attempts to exceed the limit on quota metric translationhub.googleapis.com/document_pages. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
portal: Translation Hub Portal.
quota/document_pages/limit BETA(project)
Translation Hub document pages quota limit
GAUGEINT64d
translationhub.googleapis.com/Portal
Current limit on quota metric translationhub.googleapis.com/document_pages. Sampled every 60 seconds. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
portal: Translation Hub Portal.
quota/document_pages/usage BETA(project)
Translation Hub document pages quota usage
DELTAINT64d
translationhub.googleapis.com/Portal
Current usage on quota metric translationhub.googleapis.com/document_pages. After sampling, data is not visible for up to 150 seconds.
limit_name: The limit name.
method: method.
portal: Translation Hub Portal.

videostitcher

Metrics from Video Stitcher API. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with videostitcher.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
project/live_ad_insertion_count BETA(project)
Live ad insertion count
DELTAINT641
videostitcher.googleapis.com/Project
The number of ad insertions for live sessions including success and failure.
failed_reason: Failure reason if the ad was not inserted successfully.
state: Whether the ad insertion succeeded or failed.
stream_id: The ID of the video stream.
project/live_slate_insertion_count BETA(project)
Live slate insertion count
DELTAINT641
videostitcher.googleapis.com/Project
The number of slate insertions for live sessions including success and failure.
failed_reason: Failure reason if the slate was not inserted successfully.
state: Whether the slate insertion succeeded or failed.
stream_id: The ID of the video stream.
project/vod_ad_insertion_count BETA(project)
VOD ad insertion count
DELTAINT641
videostitcher.googleapis.com/Project
The number of ad insertions for VOD sessions including success and failure.
failed_reason: Failure reason if the ad was not inserted successfully.
state: Whether the ad insertion succeeded or failed.
asset_id: The ID of the video asset.

visionai

Metrics from Vision AI. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with visionai.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
platform/connected_service/request_count BETA(project)
Request count
DELTAINT641
visionai.googleapis.com/Instance
The number of requests sent from Vertex AI Vision App Platform to other connected GCP services.
service_name: The name of the service that Vertex AI Vision App Platform connected to.
response_code: The response code that Vertex AI Vision App Platform received from the service.
processing_type: The type of processing for which Vertex AI Vision App Platform connected to this service.
node_id: The Vertex AI Vision App Platform application node from which this connection originated.
platform/connected_service/request_latencies BETA(project)
Request latencies
DELTADISTRIBUTIONms
visionai.googleapis.com/Instance
The total client-side request latencies from Vertex AI Vision to other connected GCP services. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
service_name: The name of the service that Vertex AI Vision App Platform connected to.
response_code: The response code that Vertex AI Vision App Platform received from the service.
processing_type: The type of processing for which Vertex AI Vision App Platform connected to this service.
node_id: The Vertex AI Vision App Platform application node from which this connection originated.
platform/custom_model/predict_count BETA(project)
Prediction count
DELTAINT641
visionai.googleapis.com/Instance
The number of predictions from Vertex AI Vision App Platform.
response_code: The response code that Vertex AI Vision App Platform received for the prediction.
node_id: The Vertex AI Vision App Platform application node from which this prediction originated.
platform/custom_model/predict_latencies BETA(project)
Prediction latencies
DELTADISTRIBUTIONms
visionai.googleapis.com/Instance
The total client-side prediction latencies from Vertex AI Vision App Platform. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
response_code: The response code that Vertex AI Vision App Platform received for the prediction.
node_id: The Vertex AI Vision App Platform application node from which this prediction originated.
platform/instance/uptime BETA(project)
Uptime
GAUGEDOUBLEms
visionai.googleapis.com/Instance
The uptime of a Vertex AI Vision App Platform application instance. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
stream/network/received_bytes_count BETA(project)
Received bytes
DELTAINT64By
visionai.googleapis.com/Stream
The number of bytes received by a Vertex AI Vision stream.
event_id: The event corresponding to the bytes being received.
stream/network/received_packets_count BETA(project)
Received packets
DELTAINT641
visionai.googleapis.com/Stream
The number of packets received by a Vertex AI Vision stream.
event_id: The event corresponding to the packets being received.
stream/network/sent_bytes_count BETA(project)
Sent bytes
DELTAINT64By
visionai.googleapis.com/Stream
The number of bytes sent by a Vertex AI Vision stream.
event_id: The event corresponding to the bytes being sent.
stream/network/sent_packets_count BETA(project)
Sent packets
DELTAINT641
visionai.googleapis.com/Stream
The number of packets sent by a Vertex AI Vision stream.
event_id: The event corresponding to the packets being sent.

vpcaccess

Metrics from Serverless VPC Access. Launch stages of these metrics: BETA

The "metric type" strings in this table must be prefixed with vpcaccess.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
connector/cpu/utilizations BETA(project)
CPU Utilizations
GAUGEDISTRIBUTION10^2.%
vpc_access_connector
Distribution of CPU utilizations for instances underlying a VPC Access Connector. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
connector/instances BETA(project)
Active instances
GAUGEINT641
vpc_access_connector
Total number of active instances underlying a VPC Access connector. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
connector/received_bytes_count BETA(project)
Bytes received delta
DELTAINT64By
vpc_access_connector
Delta of bytes transferred by a VPC Access Connector. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
connector/received_packets_count BETA(project)
Packets received delta
DELTAINT64{packet}
vpc_access_connector
Delta of packets received by a VPC Access Connector. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
connector/sent_bytes_count BETA(project)
Bytes sent delta
DELTAINT64By
vpc_access_connector
Delta of bytes transferred by a VPC Access Connector. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
connector/sent_packets_count BETA(project)
Packets sent delta
DELTAINT64{packet}
vpc_access_connector
Delta of packets sent by a VPC Access Connector. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.

vpn

Metrics from Cloud VPN. Launch stages of these metrics: GA

The "metric type" strings in this table must be prefixed with vpn.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
gateway/connections GA(project)
Number of connections
GAUGEINT641
vpn_gateway
Indicates the number of HA connections per VPN gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
configured_for_sla: (BOOL) Whether the HA connection is fully configured for SLA.
gcp_service_health: (BOOL) Whether the Google Cloud side of the HA connection is fully functional.
end_to_end_health: (BOOL) Whether the HA connection is functional end-to-end.
network/dropped_received_packets_count GA(project)
Incoming packets dropped
DELTAINT641
vpn_gateway
Ingress (received from peer VPN) packets dropped for tunnel. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
tunnel_name: The name of the tunnel.
gateway_name: The name of the gateway managing the tunnel.
network/dropped_sent_packets_count GA(project)
Outgoing packets dropped
DELTAINT641
vpn_gateway
Egress (directed to peer VPN) packets dropped for tunnel. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
tunnel_name: The name of the tunnel.
gateway_name: The name of the gateway managing the tunnel.
network/received_bytes_count GA(project)
Received bytes
DELTAINT64By
vpn_gateway
Ingress (received from peer VPN) bytes for tunnel. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
tunnel_name: The name of the tunnel.
gateway_name: The name of the gateway managing the tunnel.
network/received_packets_count GA(project)
Received packets
DELTAINT64{packets}
vpn_gateway
Ingress (received from peer VPN) packets for tunnel. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
status: Delivery status, for example, [successful, exceeds_mtu, throttled].
tunnel_name: The name of the tunnel.
network/sent_bytes_count GA(project)
Sent bytes
DELTAINT64By
vpn_gateway
Egress (directed to peer VPN) bytes for tunnel. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
tunnel_name: The name of the tunnel.
gateway_name: The name of the gateway managing the tunnel.
network/sent_packets_count GA(project)
Sent packets
DELTAINT64{packets}
vpn_gateway
Egress (directed to peer VPN) packets for tunnel. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
status: Delivery status, for example, [successful, exceeds_mtu, throttled].
tunnel_name: The name of the tunnel.
tunnel_established GA(project)
Tunnel established
GAUGEDOUBLE1
vpn_gateway
Indicates successful tunnel establishment if > 0. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
tunnel_name: The name of the tunnel.
gateway_name: The name of the gateway managing the tunnel.
vpn_tunnel/gateway_ip_version GA(project)
Gateway IP version
GAUGEBOOL
vpn_tunnel
The IP version of the HA VPN gateway. Sampled every 60 seconds. After sampling, data is not visible for up to 60 seconds.
gateway_ip_version: The IP version of the HA VPN gateway.

workflows

Metrics from Workflows. Launch stages of these metrics: BETA GA

The "metric type" strings in this table must be prefixed with workflows.googleapis.com/. That prefix has been omitted from the entries in the table. When querying a label, use the metric.labels. prefix; for example, metric.labels.LABEL="VALUE".

Metric type Launch stage(Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources
Description
Labels
await_callback_step_count GA(project)
Await Callback Step Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of executed steps that wait for a callback. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
callback_requests_count GA(project)
Callback Requests Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of requests made to trigger a callback. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
callback_timeout_count GA(project)
Callback Timeout Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of callbacks that timed out. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
cmek_protected_workflow_count GA(project)
CMEK Protected Workflow Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of workflows deployed with CMEK protection. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
compute_slice_count GA(project)
Compute Slice Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of compute slices executed. Steps are executed in slices of work, which depends on the of type steps being executed (e.g. HTTP requests will run separately from “assign” steps). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
type: The type of compute slice, such as "IO_REQUEST" or "WAKEUP".
has_parallel: (BOOL) Whether the workflow uses parallel steps.
compute_slice_latencies GA(project)
Compute Slice Latencies
DELTADISTRIBUTIONms
workflows.googleapis.com/Workflow
Latencies from the time a compute slice was scheduled to the time it was executed. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
type: The type of compute slice, such as "IO_REQUEST" or "WAKEUP".
has_parallel: (BOOL) Whether the workflow uses parallel steps.
compute_step_count GA(project)
Compute Step Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of compute steps executed (e.g. "assign" and "for" steps). Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
compute_step_latencies GA(project)
Compute Step Latencies
DELTADISTRIBUTIONms
workflows.googleapis.com/Workflow
Latencies of executed compute steps. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
create_callback_step_count GA(project)
Create Callback Step Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of executed steps that create a callback. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
method: The method type of the created callback, such as "POST".
deployment_attempt_count GA(project)
Deployment Attempt Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of workflow deployment attempts. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
result: The status of the deployment attempts.
deployment_latencies GA(project)
Deployment Latencies
DELTADISTRIBUTIONms
workflows.googleapis.com/Workflow
Latencies of workflow deployment attempts. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
duplicate_event_count GA(project)
Duplicate Event Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of duplicate event triggers received. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
event_type: The type of the event.
event_time_to_ack_latencies GA(project)
Event Time To Ack Latencies
DELTADISTRIBUTIONms
workflows.googleapis.com/Workflow
Latencies from the time an event starts to the time the workflows service acks it. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
event_type: The type of the event.
event_trigger_count GA(project)
Event Trigger Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of event triggers received. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
event_type: The type of the event.
result: The result of the event trigger.
execution_backlog_size BETA(project)
Execution Backlog Size
GAUGEINT641
workflows.googleapis.com/Workflow
Number of executions that have not started yet. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
execution_times BETA(project)
Execution times
DELTADISTRIBUTIONs
workflows.googleapis.com/Workflow
Distribution of workflow execution times.
revision_id: The revision ID of the executed workflow.
external_step_count BETA(project)
External step count
DELTAINT641
workflows.googleapis.com/Workflow
Count of executed external steps for the workflow.
finished_execution_count BETA(project)
Finished execution count
DELTAINT641
workflows.googleapis.com/Workflow
Count of finished executions for the workflow.
status: The execution status of the workflow.
revision_id: The revision ID of the executed workflow.
internal_execution_error_count GA(project)
Internal Execution Error Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of executions that failed with an internal error. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
internal_step_count BETA(project)
Internal step count
DELTAINT641
workflows.googleapis.com/Workflow
Count of executed internal steps for the workflow.
io_internal_request_count GA(project)
IO Internal Request Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of I/O requests made by a Workflwo to Google services. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
service_domain: The domain of the Google service being called, such as "bigquery.googleapis.com".
io_step_count GA(project)
IO Step Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of I/O steps executed. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
io_result: The I/O step result.
io_step_type: The I/O step type.
destination_type: The I/O step destination type.
had_system_error: (BOOL) Whether the I/O step had a system error.
io_step_latencies GA(project)
IO Step Latencies
DELTADISTRIBUTIONms
workflows.googleapis.com/Workflow
Latencies of I/O steps executed. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
io_result: The I/O step result.
io_step_type: The I/O step type.
had_system_error: (BOOL) Whether the I/O step had a system error.
kms_decrypt_latencies GA(project)
KMS Decrypt Latencies
DELTADISTRIBUTIONms
workflows.googleapis.com/Workflow
Latencies of decrypt requests to KMS by workflows for CMEK. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
status: The status of the decrypt requests.
attempts: (INT64) The attempts count of the decrypt requests.
kms_decrypt_request_count GA(project)
KMS Decrypt Request Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of KMS decrypt requests made by the service for CMEK. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
status: The status of the decrypt requests.
kms_encrypt_latencies GA(project)
KMS Encrypt Latencies
DELTADISTRIBUTIONms
workflows.googleapis.com/Workflow
Latencies of encrypt requests to KMS by workflows for CMEK. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
status: The status of the encrypt requests.
attempts: (INT64) The attempts count of the encrypt requests.
kms_encrypt_request_count GA(project)
KMS Encrypt Request Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of KMS encrypt requests made by the service for CMEK. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
status: The status of the encrypt requests.
parallel_branch_step_count GA(project)
Parallel branch step count
DELTAINT641
workflows.googleapis.com/Workflow
Number of executed steps using parallel branches. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
parallel_branch_substep_count GA(project)
Parallel branch substep count
DELTAINT641
workflows.googleapis.com/Workflow
Number of executed steps within parallel branches. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
parallel_iteration_step_count GA(project)
Parallel iteration step count
DELTAINT641
workflows.googleapis.com/Workflow
Number of executed steps using parallel iterations. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
parallel_iteration_substep_count GA(project)
Parallel iteration substep count
DELTAINT641
workflows.googleapis.com/Workflow
Number of executed steps within parallel iterations. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
parallel_unhandled_exceptions_limit_count GA(project)
Parallel unhandled exceptions limit count
DELTAINT641
workflows.googleapis.com/Workflow
Number of times the unhandled parallel exception limit was reached. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
pending_io_requests GA(project)
Pending IO Requests
GAUGEINT641
workflows.googleapis.com/Workflow
Number of in-flight I/O requests. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
sent_bytes_count BETA(project)
Network bytes sent
DELTAINT64By
workflows.googleapis.com/Workflow
Count of outgoing HTTP bytes (URL, headers and body) sent by the workflow.
revision_id: The revision ID of the executed workflow.
started_execution_count BETA(project)
Started execution count
DELTAINT641
workflows.googleapis.com/Workflow
Count of started executions for the workflow.
revision_id: The revision ID of the executed workflow.
started_vpcsc_executions_count GA(project)
Started VPC-SC Executions Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of VPC-SC restricted executions started. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.
vpcsc_protected_io_count GA(project)
VPC-SC Protected IO Count
DELTAINT641
workflows.googleapis.com/Workflow
Number of I/O requests made using VPC-SC. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
revision_id: The revision ID of the executed workflow.

Generated at 2024-10-24 18:54:10 UTC.