Google Cloud metrics

Cloud Monitoring supports the metric types from Google Cloud services listed on this page.

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

  Note: 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.

• For a set of complete, current lists of supported metric types, see Metrics list.

• For pricing information, see Monitoring pricing.

• For information about the meaning of launch stages such as GA (General Availability) and BETA (Preview), see Product launch stages.

Note: To monitor the availability of a service, create an uptime check. These checks create monitoring.googleapis.com/uptime_check/check_passed metric data. Don't configure an alerting policy to track a metric type such as compute.googleapis.com/instance/uptime if your goal is to monitor the availability of a service. For information about why such alerting policies might not function as you expect, see Uptime policy doesn't create expected alerts. For information about how to create an uptime check, see Managing uptime checks.

Google Cloud metrics

Metrics from Google Cloud.

The following list was last generated at 2023-06-01 16:26:55 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.

Metric type ^Launch stage Display name
Kind, Type, Unit Monitored resources	Description Labels
smarthome_action/camerastream/first_frame_latencies ^BETA First frame latency
DELTA, DISTRIBUTION, milliseconds 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 Frame display rate
DELTA, DISTRIBUTION, frames/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 Frame drop rate
DELTA, DISTRIBUTION, frames/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 Frame skip rate
DELTA, DISTRIBUTION, frames/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 Camerastream request count
DELTA, INT64, 1 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 Camerastream request latency
DELTA, DISTRIBUTION, ms 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 Signaling latency
DELTA, DISTRIBUTION, milliseconds 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 Stream duration
DELTA, DISTRIBUTION, milliseconds 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 Webrtc request count
DELTA, INT64, 1 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 Device count
GAUGE, INT64, 1 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 Execution success confidence
GAUGE, DOUBLE, 1 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 Local event count
DELTA, INT64, 1 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 Matter setup event count
DELTA, INT64, 1 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 Daily active users
GAUGE, INT64, 1 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 Report state accuracy
GAUGE, DOUBLE, 10^2.% 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 Request count
DELTA, INT64, 1 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 Request latencies
DELTA, DISTRIBUTION, ms 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 7 day active users
GAUGE, INT64, 1 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 28 day active users
GAUGE, INT64, 1 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: 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.

Metric type ^Launch stage Display name
Kind, Type, Unit Monitored resources	Description Labels
featurestore/cpu_load ^BETA CPU load
GAUGE, DOUBLE, 10^2.% 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 CPU load (hottest node)
GAUGE, DOUBLE, 10^2.% 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 Node count
GAUGE, INT64, 1 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 Entities updated on the Featurestore online storage.
DELTA, INT64, By 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 Latencies
DELTA, DISTRIBUTION, ms 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 Request size
DELTA, INT64, By 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 Serving count
DELTA, INT64, 1 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 Response size
DELTA, INT64, By aiplatform.googleapis.com/Featurestore	Response size by EntityType. entity_type_id: EntityType being requested. method: Online serving method, one of [ReadFeatureValues, StreamingReadFeatureValues].
featurestore/storage/stored_bytes ^BETA Bytes stored
GAUGE, INT64, By 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 Offline storage write for streaming write
DELTA, INT64, 1 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 Streaming write to offline storage delay time
DELTA, DISTRIBUTION, s 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].
matching_engine/current_replicas ^BETA Current replicas
GAUGE, INT64, 1 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 Current shards
GAUGE, INT64, 1 aiplatform.googleapis.com/IndexEndpoint	Number of shards of the DeployedIndex. deployed_index_id: The ID of the target DeployedIndex.
matching_engine/query/latencies ^BETA Request latency
DELTA, DISTRIBUTION, ms 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 Request count
DELTA, INT64, 1 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.
online_prediction_requests_per_base_model ^BETA Online prediction requests per base model
DELTA, INT64, 1 aiplatform.googleapis.com/Location	Online prediction requests per minute per project per base model. base_model: The base model custom dimension.
prediction/online/accelerator/duty_cycle ^BETA Accelerator duty cycle
GAUGE, DOUBLE, 10^2.% 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.
prediction/online/accelerator/memory/bytes_used ^BETA Accelerator memory usage
GAUGE, INT64, By 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.
prediction/online/cpu/utilization ^BETA CPU utilization
GAUGE, DOUBLE, 10^2.% 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.
prediction/online/error_count ^BETA Error count
DELTA, INT64, 1 aiplatform.googleapis.com/Endpoint	Number of online prediction errors. deployed_model_id: The ID of the DeployedModel which serves the prediction request.
prediction/online/memory/bytes_used ^BETA Memory usage
GAUGE, INT64, By 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.
prediction/online/network/received_bytes_count ^BETA Network bytes received
DELTA, INT64, By 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.
prediction/online/network/sent_bytes_count ^BETA Network bytes sent
DELTA, INT64, By 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.
prediction/online/prediction_count ^BETA Prediction count
DELTA, INT64, 1 aiplatform.googleapis.com/Endpoint	Number of online predictions. deployed_model_id: The ID of the DeployedModel which serves the prediction request.
prediction/online/prediction_latencies ^BETA Prediction Latencies
DELTA, DISTRIBUTION, ms 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.
prediction/online/private/prediction_latencies ^BETA Private endpoint prediction latencies
DELTA, DISTRIBUTION, ms 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 Private endpoint response count
DELTA, INT64, 1 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 Replica count
GAUGE, INT64, 1 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.
prediction/online/response_count ^BETA Response count
DELTA, INT64, 1 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).
prediction/online/target_replicas ^BETA Replica target
GAUGE, INT64, 1 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.

alloydb

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

Metric type ^Launch stage Display name
Kind, Type, Unit Monitored resources	Description Labels
cluster/storage/usage ^GA Cluster storage usage
GAUGE, INT64, By 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/insights/aggregate/execution_time ^BETA Execution time
DELTA, INT64, us{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 IO time
DELTA, INT64, us 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 Latency
DELTA, DISTRIBUTION, us 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 Lock time
DELTA, INT64, us 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 Affected rows
DELTA, INT64, 1 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 Shared blocks cache access
DELTA, INT64, 1 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 Execution time per query
DELTA, INT64, us{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 IO time per query
DELTA, INT64, us 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 Latency per query
DELTA, DISTRIBUTION, us 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 Lock time per query
DELTA, INT64, us 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 Affected rows per query
DELTA, INT64, 1 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 Shared blocks cache access per query
DELTA, INT64, 1 alloydb.googleapis.com/Database	Shared blocks (regular tables & indexed) accesssed 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 Execution time per tag
DELTA, INT64, us{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 IO time per tag
DELTA, INT64, us 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 Latency per tag
DELTA, DISTRIBUTION, us 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 Lock time per tag
DELTA, INT64, us 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 Affected rows per tag
DELTA, INT64, 1 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 Shared blocks cache accessed per tag
DELTA, INT64, 1 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.
instance/cpu/average_utilization ^GA Mean CPU utilization
GAUGE, DOUBLE, 10^2.% 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 Maximum CPU utilization
GAUGE, DOUBLE, 10^2.% 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 vCPUs allocated per node
GAUGE, INT64, 1 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 Minimum available memory
GAUGE, INT64, By 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 Instance abort count
DELTA, INT64, 1 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 Mean connections per node
GAUGE, DOUBLE, 1 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 Instance commit count
DELTA, INT64, 1 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 Limit on connections per node
GAUGE, INT64, 1 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 Number and status of nodes
GAUGE, INT64, 1 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 Maximum replication lag
GAUGE, INT64, ms 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/network_lag ^BETA Network lag
GAUGE, INT64, ms 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 AlloyDB replica count
GAUGE, INT64, 1 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 Total connections per instance
GAUGE, INT64, 1 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 Instance transaction count
DELTA, INT64, 1 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.
node/cpu/usage_time ^BETA Node CPU usage
GAUGE, DOUBLE, 1 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 Node replication lag
GAUGE, INT64, ms 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 Node database availability
GAUGE, DOUBLE, 1 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.

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.

Metric type ^Launch stage Display name
Kind, Type, Unit Monitored resources	Description Labels
proxy/request_count ^BETA Request Count
DELTA, INT64, 1 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.

Metric type ^Launch stage Display name
Kind, Type, Unit Monitored resources	Description Labels
cassandra/clientrequest_latency ^BETA Apigee Cassandra client request latency
GAUGE, DOUBLE, 1 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 Apigee Cassandra pending compaction tasks
GAUGE, INT64, 1 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 Apigee Cassandra bytes committed per area
GAUGE, DOUBLE, By 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 Apigee Cassandra initial memory bytes
GAUGE, DOUBLE, By 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 Apigee Cassandra max bytes of memory
GAUGE, DOUBLE, By 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 Apigee Cassandra used JVM memory bytes
GAUGE, DOUBLE, By 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 Apigee Cassandra bytes committed per memory pool
GAUGE, DOUBLE, By 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 Apigee Cassandra initial bytes of JVM memory pool
GAUGE, DOUBLE, By 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 Apigee Cassandra JVM memory pool bytes max
GAUGE, DOUBLE, By 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 Apigee Cassandra bytes per memory pool
GAUGE, DOUBLE, By 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 Apigee Cassandra user and system CPU in seconds
CUMULATIVE, DOUBLE, s k8s_container	User and system CPU time spent in seconds for Apigee Cassandra. Sampled every 60 seconds.
cassandra/process_max_fds ^BETA Apigee Cassandra process max file descriptors
GAUGE, INT64, 1 k8s_container	Maximum number of open file descriptors for Apigee Cassandra. Sampled every 60 seconds.
cassandra/process_open_fds ^BETA Apigee Cassandra process open file descriptors
GAUGE, INT64, 1 k8s_container	Number of open file descriptors for Apigee Cassandra. Sampled every 60 seconds.
cassandra/tablerequests_latency ^ALPHA Apigee Cassandra table level requests latency
GAUGE, DOUBLE, us 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 Apigee Cassandra table level requests rate
GAUGE, DOUBLE, 1/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 Apigee Connect Agent completed RPCs count
CUMULATIVE, INT64, 1 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 Apigee Connect Agent dropped requests
CUMULATIVE, DISTRIBUTION, 1 k8s_container	Distribution of dropped requests by Apigee Connect Agent per RPC. Sampled every 60 seconds. method: GRPC client method.
connectagent/dropped_responses ^ALPHA Apigee Connect Agent dropped responses
CUMULATIVE, DISTRIBUTION, 1 k8s_container	Distribution of dropped responses by Apigee Connect Agent per RPC. Sampled every 60 seconds. method: GRPC client method.
connectagent/received_bytes ^ALPHA Apigee Connect Agent received bytes
CUMULATIVE, DISTRIBUTION, By k8s_container	Distribution of bytes received by Apigee Connect Agent per RPC. Sampled every 60 seconds. method: GRPC client method.
connectagent/received_messages ^ALPHA Apigee Connect Agent received messages
CUMULATIVE, DISTRIBUTION, 1 k8s_container	Distribution of messages received by Apigee Connect Agent per RPC. Sampled every 60 seconds. method: GRPC client method.
connectagent/sent_bytes ^ALPHA Apigee Connect Agent sent bytes
CUMULATIVE, DISTRIBUTION, By k8s_container	Distribution of bytes sent by Apigee Connect Agent per RPC. Sampled every 60 seconds. method: GRPC client method.
connectagent/sent_messages ^ALPHA Apigee Connect Agent sent messages
CUMULATIVE, DISTRIBUTION, 1 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 Apigee Connect Agent stream liveness time
CUMULATIVE, DISTRIBUTION, ms k8s_container	Distribution of stream liveness time by Apigee Connect Agent per RPC. Sampled every 60 seconds. method: GRPC client method.
environment/active ^BETA Apigee active environment
GAUGE, INT64, 1 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.
environment/anomaly_count ^BETA Apigee anomaly event count
CUMULATIVE, INT64, 1 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/instance/gateway_nodes ^BETA Apigee gateway nodes
GAUGE, INT64, 1 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 Apigee Redis Envoy evalsha error
CUMULATIVE, INT64, 1 k8s_container	Total number of error evalsha commands to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/commands/evalsha/latency ^ALPHA Apigee Redis Envoy evalsha latency
CUMULATIVE, DISTRIBUTION, usec k8s_container	Total amount of time in microseconds for execution of evalsha command. Sampled every 60 seconds.
envoy/redis/commands/evalsha/success ^ALPHA Apigee Redis Envoy evalsha success
CUMULATIVE, INT64, 1 k8s_container	Total number of successful evalsha commands to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/commands/evalsha/total ^ALPHA Apigee Redis Envoy evalsha Total
CUMULATIVE, INT64, 1 k8s_container	Total number of evalsha commands to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/commands/get/error ^ALPHA Apigee Redis Envoy get error
CUMULATIVE, INT64, 1 k8s_container	Total number of error get commands to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/commands/get/latency ^ALPHA Apigee Redis Envoy get latency
CUMULATIVE, DISTRIBUTION, usec k8s_container	Total amount of time in microseconds for execution of get command. Sampled every 60 seconds.
envoy/redis/commands/get/success ^ALPHA Apigee Redis Envoy get success
CUMULATIVE, INT64, 1 k8s_container	Total number of successful get commands to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/commands/get/total ^ALPHA Apigee Redis Envoy get total
CUMULATIVE, INT64, 1 k8s_container	Total number of get commands to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/downstream_cx_active ^ALPHA Apigee Redis Envoy active connections
GAUGE, INT64, 1 k8s_container	Total number of current active connections to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/downstream_cx_total ^ALPHA Apigee Redis Envoy total connections
CUMULATIVE, INT64, 1 k8s_container	Total number of connections to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/downstream_rq_active ^ALPHA Apigee Redis Envoy active requests
GAUGE, INT64, 1 k8s_container	Total number of current active requests to Apigee Redis Envoy. Sampled every 60 seconds.
envoy/redis/downstream_rq_total ^ALPHA Apigee Redis Envoy total requests
CUMULATIVE, INT64, 1 k8s_container	Total number of requests received by Apigee Redis Envoy. Sampled every 60 seconds.
mint/latencies_percentile ^BETA Percentile of Apigee Monetization response latencies
GAUGE, DOUBLE, ms 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 Apigee Monetization request cumulative count
CUMULATIVE, INT64, 1 apigee.googleapis.com/ProxyV2	Total number of requests received by the Montized Api Proxy. Sampled every 60 seconds.
mint/response_count ^BETA Apigee Monetization response cumulative count
CUMULATIVE, INT64, 1 apigee.googleapis.com/ProxyV2	Total number of complete Monetized requests processed by API proxy. Sampled every 60 seconds. mint_status: Status of Monetized request.
policy/latencies ^BETA Apigee policy response latencies
CUMULATIVE, DISTRIBUTION, ms apigee.googleapis.com/Proxy	Total amount of time in milliseconds for an Apigee policy to execute. Sampled every 60 seconds. policy_name: Name of the policy.
policyv2/latencies_percentile ^BETA Percentile of Apigee policy response latencies
GAUGE, DOUBLE, ms 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/latencies ^BETA Apigee proxy response latencies
CUMULATIVE, DISTRIBUTION, ms apigee.googleapis.com/Proxy	Total amount of time in milliseconds for the API proxy to respond to a request. This time includes the Apigee API proxy overhead and the target server time. Sampled every 60 seconds. method: HTTP method.
proxy/request_count ^BETA Apigee proxy request cumulative count
CUMULATIVE, INT64, 1 apigee.googleapis.com/Proxy	Total number of requests received by the Apigee API proxy. Sampled every 60 seconds. method: HTTP method.
proxy/response_count ^BETA Apigee proxy response cumulative count
CUMULATIVE, INT64, 1 apigee.googleapis.com/Proxy	Total number of responses sent by the Apigee API proxy. Sampled every 60 seconds. method: HTTP method. response_code: HTTP response code.
proxyv2/details ^BETA Apigee proxy details
GAUGE, INT64, 1 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 Percentile of Apigee proxy response latencies
GAUGE, DOUBLE, ms 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 Apigee proxy request cumulative count
CUMULATIVE, INT64, 1 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 Apigee proxy response cumulative count
CUMULATIVE, INT64, 1 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.
server/fault_count ^BETA Apigee server fault count
CUMULATIVE, INT64, 1 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 Apigee server latencies
CUMULATIVE, DISTRIBUTION, ms 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 Apigee server nio
GAUGE, INT64, 1 k8s_container	Number of open sockets. Sampled every 60 seconds. state: State of the NIO threads.
server/num_threads ^BETA Apigee server thread count
GAUGE, INT64, 1 k8s_container	Number of active non-daemon threads in the Apigee server. Sampled every 60 seconds.
server/request_count ^BETA Apigee server request count
CUMULATIVE, INT64, 1 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 Apigee server response count
CUMULATIVE, INT64, 1 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 ^ALPHA Apigee target response latencies
CUMULATIVE, DISTRIBUTION, ms apigee.googleapis.com/Proxy	Total amount of time in milliseconds for the Apigee API proxy target to respond to a request. This value does not include the Apigee API proxy overhead. 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.
target/request_count ^ALPHA Apigee target request cumulative count
CUMULATIVE, INT64, 1 apigee.googleapis.com/Proxy	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.
target/response_count ^ALPHA Apigee target response cumulative count
CUMULATIVE, INT64, 1 apigee.googleapis.com/Proxy	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.
targetv2/latencies_percentile ^BETA Percentile of Apigee proxy target response latencies
GAUGE, DOUBLE, ms 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 Apigee target request cumulative count
CUMULATIVE, INT64, 1 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 Apigee target response cumulative count
CUMULATIVE, INT64, 1 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 Apigee UDCA disk used bytes
GAUGE, DOUBLE, By 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 Apigee UDCA server local file count
GAUGE, INT64, 1 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 Apigee UDCA server timestamp difference between current time and latest file
GAUGE, INT64, s 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 Apigee UDCA server timestamp difference between current time and oldest file
GAUGE, INT64, s 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 Apigee UDCA pruned file count
CUMULATIVE, INT64, 1 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 Apigee UDCA outstanding number of entries in retry cache
GAUGE, INT64, 1 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 Apigee UDCA server total latencies
CUMULATIVE, DISTRIBUTION, s 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 Apigee UDCA server upload latencies
CUMULATIVE, DISTRIBUTION, s 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 Apigee UDCA server HTTP error count
CUMULATIVE, INT64, 1 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 Apigee UDCA server HTTP latencies
CUMULATIVE, DISTRIBUTION, s 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 Apigee UDCA uploaded file count
CUMULATIVE, INT64, 1 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 Apigee UDCA uploaded file size distribution
CUMULATIVE, DISTRIBUTION, By 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 Apigee upstream latencies
CUMULATIVE, DISTRIBUTION, ms 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 Apigee upstream request count
CUMULATIVE, INT64, 1 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 Apigee upstream response count
CUMULATIVE, INT64, 1 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 HTTP(S) 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.

Metric type ^Launch stage Display name
Kind, Type, Unit Monitored resources	Description Labels
flex/autoscaler/capacity ^BETA Autoscaling Metrics Utilization Capacity
GAUGE, DOUBLE, 1 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 Writing and reading connections
GAUGE, DOUBLE, 1 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 Autoscaling Metrics Current Utilization
GAUGE, DOUBLE, 1 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 Request counts
DELTA, INT64, 1 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 Connections
GAUGE, DOUBLE, 1 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 Reserved cores
GAUGE, DOUBLE, 1 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 CPU utilization
GAUGE, DOUBLE, 10^2.% 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 Disk bytes read
DELTA, INT64, By 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 Disk bytes written
DELTA, INT64, By 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 Connections
GAUGE, DOUBLE, 1 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/cpu/usage_time ^ALPHA CPU Usage
DELTA, DOUBLE, s{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 CPU Utilization
GAUGE, DOUBLE, 10^2.% 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 Disk read bytes
DELTA, INT64, By 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 Disk write bytes
DELTA, INT64, By 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 Disk usage
GAUGE, INT64, By 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 Memory usage
GAUGE, INT64, By 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 Liveness check
DELTA, INT64, 1 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 Readiness check
DELTA, INT64, 1 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 GC count
DELTA, INT64, 1 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 GC Time
DELTA, INT64, ms 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 Memory usage
GAUGE, DOUBLE, By 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 CPU time
DELTA, INT64, ns 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 Threads
GAUGE, DOUBLE, 1 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 Max threads
GAUGE, DOUBLE, 1 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 Uptime
DELTA, INT64, ms 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 Logging Agent Log Entry Count
DELTA, INT64, 1 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 Logging Agent Retried Log Entry Writes Count
DELTA, INT64, 1 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 Network bytes received
DELTA, INT64, By 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 Network bytes sent
DELTA, INT64, By 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 Accepted connections
DELTA, INT64, 1 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 Active connections
GAUGE, DOUBLE, 1 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 Handled connections
DELTA, INT64, 1 gae_instance	Total connections handled. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
flex/instance/uptime ^ALPHA Uptime
GAUGE, DOUBLE, s 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/ws/avg_duration ^GA Websocket average duration
GAUGE, DOUBLE, s 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 Network bytes received.
DELTA, INT64, By 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 Network bytes sent.
DELTA, INT64, By 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 Interception count
DELTA, INT64, 1 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 Quota denial count
DELTA, INT64, 1 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 Response count
DELTA, INT64, 1 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 Response latency
DELTA, DISTRIBUTION, ms 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 Response count by style
DELTA, INT64, 1 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.
memcache/centi_mcu_count ^GA Memcache utilization
DELTA, INT64, 1 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/hit_ratio ^GA Hit ratio
GAUGE, DOUBLE, 1 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/operation_count ^GA Memcache operations
DELTA, INT64, 1 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 Memcache received bytes
DELTA, INT64, By 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 Memcache sent bytes
DELTA, INT64, By 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/used_cache_size ^GA Used Cache Size
GAUGE, INT64, By 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 Estimated instance count
GAUGE, INT64, 1 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 CPU megacycles
GAUGE, INT64, 1 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 CPU utilization
GAUGE, DOUBLE, 10^2.% 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 Instance count
GAUGE, INT64, 1 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 Memory usage
GAUGE, INT64, By 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 Received bytes
DELTA, INT64, By 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 Sent bytes
DELTA, INT64, By 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.

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.

Metric type ^Launch stage Display name
Kind, Type, Unit Monitored resources	Description Labels
capacity ^BETA Serving capacity
GAUGE, DOUBLE, 1 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 Current Autoscaler utilization
GAUGE, DOUBLE, 1 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 Scheduled size
GAUGE, INT64, 1 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.

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.

Metric type ^Launch stage Display name
Kind, Type, Unit Monitored resources	Description Labels
instance/ethernet_fabric/port_bytes_count ^BETA Forwarded Bytes Count
CUMULATIVE, INT64, By 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 Avg latency of operations
GAUGE, INT64, us baremetalsolution.googleapis.com/Lun	The average latency of I/O operations. direction: Direction of operations, one of [READ, WRITE, TOTAL].
lun/bytes_count ^BETA Bytes count
CUMULATIVE, INT64, By baremetalsolution.googleapis.com/Lun	Number of bytes written or read, cumulative. direction: Direction of bytes, one of [READ, WRITE].
lun/operation_count ^BETA Operation count
CUMULATIVE, INT64, 1 baremetalsolution.googleapis.com/Lun	Number of operations performed, cumulative. direction: Direction of operations, one of [READ, WRITE].
lun/size ^BETA Lun size in bytes.
GAUGE, INT64, By baremetalsolution.googleapis.com/Lun	Space allocated to the lun. type: Type, one of [AVAILABLE,USED].
volume/avg_latency ^BETA Avg latency of operations
GAUGE, INT64, us baremetalsolution.googleapis.com/Volume	The average latency of I/O operations. direction: Direction of operations, one of [READ, WRITE, TOTAL].
volume/bytes_count ^BETA Bytes count
CUMULATIVE, INT64, By baremetalsolution.googleapis.com/Volume	Number of bytes written or read, cumulative. direction: Direction of bytes, one of [READ, WRITE].
volume/operation_count ^BETA Operation count
CUMULATIVE, INT64, 1 baremetalsolution.googleapis.com/Volume	Number of operations performed, cumulative. direction: Direction of operations, one of [READ, WRITE].
volume/size ^BETA Volume size in bytes
GAUGE, INT64, By baremetalsolution.googleapis.com/Volume	Space allocated to the volume. type: Type, one of [AVAILABLE,USED].

bigquery

Metrics from BigQuery.

Note: When a job runs in less than 60 seconds, metrics sampled every 60 seconds might not report any data.

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.

Metric type ^Launch stage Display name
Kind, Type, Unit Monitored resources	Description Labels
job/num_in_flight ^GA Job count
GAUGE, INT64, 1 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 BI Engine query fallback count
DELTA, INT64, 1 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 Query count
GAUGE, INT64, 1 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 Query execution count
DELTA, INT64, 1 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 Query execution times
GAUGE, DISTRIBUTION, s 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 Scanned bytes
DELTA, INT64, By 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 Scanned bytes billed
DELTA, INT64, By 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 Statement scanned bytes
DELTA, INT64, By 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 Statement scanned bytes billed
DELTA, INT64, By 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 Slots used by project, reservation, and job type
GAUGE, INT64, 1 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 Slots used by project
GAUGE, INT64, 1 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 Slots used by project and job type
GAUGE, INT64, 1 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 Slots used by project in reservation
GAUGE, INT64, 1 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 Slots assigned
GAUGE, INT64, 1 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 Slots capacity committed
GAUGE, INT64, 1 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 Slots max assigned
GAUGE, INT64, 1 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 Slots used across projects in reservation
GAUGE, INT64, 1 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 Total slots
GAUGE, INT64, 1 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 InsertAll Inserted Bytes
DELTA, DOUBLE, 1 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 InsertAll Inserted Rows
DELTA, DOUBLE, 1 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 Stored bytes
GAUGE, INT64, By 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 Table count
GAUGE, INT64, 1 bigquery_dataset	Number of tables. Sampled every 1800 seconds. After sampling, data is not visible for up to 10800 seconds.
storage/uploaded_bytes ^GA Uploaded bytes
DELTA, INT64, By 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 Uploaded bytes billed
DELTA, INT64, By 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 Uploaded rows
DELTA, INT64, 1 bigquery_dataset	Uploaded rows. 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.

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.

Metric type ^Launch stage Display name
Kind, Type, Unit Monitored resources	Description Labels
model/inflight_requests ^GA Inflight requests
GAUGE, INT64, 1 bigquery_biengine_model	Inflight requests to a BI model. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds.
model/request_count ^GA Request count
DELTA, INT64, 1 bigquery_biengine_model	BI Engine request count. 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 Request execution times
GAUGE, DISTRIBUTION, ms 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. . 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 Reservation used bytes by table
GAUGE, INT64, By 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 Reservation total bytes
GAUGE, INT64, By 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 Reservation used bytes
GAUGE, INT64, By 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 the 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.

Metric type ^Launch stage Display name
Kind, Type, Unit Monitored resources	Description Labels
transfer_config/active_runs ^BETA Active run count
GAUGE, INT64, 1 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 Completed run count
DELTA, INT64, 1 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/run_duration_seconds ^BETA Run latency distribution
DELTA, DISTRIBUTION, s 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.

Metric type ^Launch stage Display name
Kind, Type, Unit Monitored resources	Description Labels
read/concurrent_streams ^ALPHA Concurrent ReadRows streams
GAUGE, INT64, 1 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 concurrent connection count
GAUGE, INT64, 1 bigquery_project	Concurrent connection per project for BigQuery Write API. Sampled every 60 seconds. After sampling, data is not visible for up to 360 seconds.
write/server_side_latencies ^BETA server side latency
DELTA, DISTRIBUTION, 1 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/uploaded_bytes_count ^BETA Uploaded bytes count
DELTA, INT64, 1 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 Uploaded rows count
DELTA, INT64, 1 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 Cloud Bigtable. Launch stages of these metrics: 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.

Metric type ^Launch stage Display name
Kind, Type, Unit Monitored resources	Description Labels
backup/bytes_used ^GA Backup storage used.
GAUGE, INT64, By 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.