GKE system metrics

This document lists the metrics available in Cloud Monitoring when Google Kubernetes Engine (GKE) system metrics are enabled.

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

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

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

Kubernetes metrics

Metrics from Google Kubernetes Engine.

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

kubernetes

Metrics for Google Kubernetes Engine. For information on viewing these metrics, go to View observability metrics. Launch stages of these metrics: BETA GA

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

Metric type Launch stage (Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources		 Description
Labels
GAUGE, DOUBLE, {cpu}
k8s_scale 		Number of CPU cores for the recommended CPU request for a single replica of the workload. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
container_name: Name of the container.
GAUGE, INT64, By
k8s_scale 		Recommended memory request for a single replica of the workload, in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
container_name: Name of the container.
autoscaler/latencies/per_hpa_recommendation_scale_latency_seconds BETA  (project)
Per HPA recommendation scale latency
GAUGE, DOUBLE, s
k8s_scale 		HPA Scaling recommendation latency (time between metrics being created and corresponding scaling recommendation being applied to the apiserver) for the HPA target. Sampled every 60 seconds. After sampling, data is not visible for up to 20 seconds.
metric_type: type is the type of metric source. It should be one of "ContainerResource", "External", "Object", "Pods" or "Resource".
container/accelerator/duty_cycle BETA  (project)
Accelerator duty cycle
GAUGE, INT64, %
k8s_container 		Percent of time over the past sample period (10s) during which the accelerator was actively processing. Values are integers between 0 and 100. Sampled every 60 seconds.
make: Make of the accelerator (e.g. nvidia)
accelerator_id: ID of the accelerator.
model: Model of the accelerator (e.g. 'Tesla P100')
container/accelerator/memory_bandwidth_utilization BETA  (project)
Memory bandwidth utilization
GAUGE, DOUBLE, percent
k8s_container 		Current percentage of the accelerator memory bandwidth that is being used. Computed by dividing the memory bandwidth used over a sample period by the maximum supported bandwidth over the same sample period. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
make: Make of the accelerator.
accelerator_id: ID of the accelerator.
model: Model of the accelerator.
tpu_topology: Topology of the TPU accelerator.
container/accelerator/memory_total BETA  (project)
Accelerator memory total
GAUGE, INT64, By
k8s_container 		Total accelerator memory in bytes. Sampled every 60 seconds.
make: Make of the accelerator (e.g. nvidia)
accelerator_id: ID of the accelerator.
model: Model of the accelerator (e.g. 'Tesla P100')
container/accelerator/memory_used BETA  (project)
Accelerator memory used
GAUGE, INT64, By
k8s_container 		Total accelerator memory allocated in bytes. Sampled every 60 seconds.
make: Make of the accelerator (e.g. nvidia)
accelerator_id: ID of the accelerator.
model: Model of the accelerator (e.g. 'Tesla P100')
container/accelerator/request BETA  (project)
Request accelerators
GAUGE, INT64, {devices}
k8s_container 		Number of accelerator devices requested by the container. Sampled every 60 seconds.
resource_name: Name of the requested accelerator resource.
container/accelerator/tensorcore_utilization BETA  (project)
Tensorcore utilization
GAUGE, DOUBLE, percent
k8s_container 		Current percentage of the Tensorcore that is utilized. Computed by dividing the Tensorcore operations that were performed over a sample period by the supported number of Tensorcore operations over the same sample period. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
make: Make of the accelerator.
accelerator_id: ID of the accelerator.
model: Model of the accelerator.
tpu_topology: Topology of the TPU accelerator.
container/cpu/core_usage_time GA  (project)
CPU usage time
CUMULATIVE, DOUBLE, s{CPU}
k8s_container 		Cumulative CPU usage on all cores used by the container in seconds. Sampled every 60 seconds.
container/cpu/limit_cores GA  (project)
Limit cores
GAUGE, DOUBLE, {cpu}
k8s_container 		CPU cores limit of the container. Sampled every 60 seconds.
container/cpu/limit_utilization GA  (project)
CPU limit utilization
GAUGE, DOUBLE, 1
k8s_container 		The fraction of the CPU limit that is currently in use on the instance. This value can be greater than 1 as a container might be allowed to exceed its CPU limit for extended periods of time. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
container/cpu/request_cores GA  (project)
Request cores
GAUGE, DOUBLE, {cpu}
k8s_container 		Number of CPU cores requested by the container. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
container/cpu/request_utilization GA  (project)
CPU request utilization
GAUGE, DOUBLE, 1
k8s_container 		The fraction of the requested CPU that is currently in use on the instance. This value can be greater than 1 as usage can exceed the request. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
container/ephemeral_storage/limit_bytes GA  (project)
Ephemeral storage limit
GAUGE, INT64, By
k8s_container 		Local ephemeral storage limit in bytes. Sampled every 60 seconds.
container/ephemeral_storage/request_bytes GA  (project)
Ephemeral storage request
GAUGE, INT64, By
k8s_container 		Local ephemeral storage request in bytes. Sampled every 60 seconds.
container/ephemeral_storage/used_bytes GA  (project)
Ephemeral storage usage
GAUGE, INT64, By
k8s_container 		Local ephemeral storage usage in bytes. Sampled every 60 seconds.
container/memory/limit_bytes GA  (project)
Memory limit
GAUGE, INT64, By
k8s_container 		Memory limit of the container in bytes. Sampled every 60 seconds.
container/memory/limit_utilization GA  (project)
Memory limit utilization
GAUGE, DOUBLE, 1
k8s_container 		The fraction of the memory limit that is currently in use on the instance. This value cannot exceed 1 as usage cannot exceed the limit. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
memory_type: Either `evictable` or `non-evictable`. Evictable memory is memory that can be easily reclaimed by the kernel, while non-evictable memory cannot.
container/memory/page_fault_count GA  (project)
Page faults
CUMULATIVE, INT64, 1
k8s_container 		Number of page faults, broken down by type: major and minor.
fault_type: Fault type - either 'major' or 'minor', with the former indicating that the page had to be loaded from disk.
container/memory/request_bytes GA  (project)
Memory request
GAUGE, INT64, By
k8s_container 		Memory request of the container in bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
container/memory/request_utilization GA  (project)
Memory request utilization
GAUGE, DOUBLE, 1
k8s_container 		The fraction of the requested memory that is currently in use on the instance. This value can be greater than 1 as usage can exceed the request. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
memory_type: Either `evictable` or `non-evictable`. Evictable memory is memory that can be easily reclaimed by the kernel, while non-evictable memory cannot.
container/memory/used_bytes GA  (project)
Memory usage
GAUGE, INT64, By
k8s_container 		Memory usage in bytes. Sampled every 60 seconds.
memory_type: Either `evictable` or `non-evictable`. Evictable memory is memory that can be easily reclaimed by the kernel, while non-evictable memory cannot.
container/multislice/accelerator/device_to_host_transfer_latencies BETA  (project)
Device to Host transfer latencies
DELTA, DISTRIBUTION, us
k8s_container 		Distribution of device to host transfer latency for each chunk of data for multislice traffic. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
buffer_size: Size of the buffer.
make: Make of the accelerator.
model: Model of the accelerator.
tpu_topology: Topology of the TPU accelerator.
container/multislice/accelerator/host_to_device_transfer_latencies BETA  (project)
Host to Device transfer latencies
DELTA, DISTRIBUTION, us
k8s_container 		Distribution of host to device transfer latency for each chunk of data for multislice traffic. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
buffer_size: Size of the buffer.
make: Make of the accelerator.
model: Model of the accelerator.
tpu_topology: Topology of the TPU accelerator.
container/multislice/network/collective_end_to_end_latencies BETA  (project)
Collective latencies
DELTA, DISTRIBUTION, us
k8s_container 		Distribution of end to end collective latency for multislice traffic. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
collective_type: Collective operation type.
input_size: Size of the message.
make: Make of the accelerator.
model: Model of the accelerator.
tpu_topology: Topology of the TPU accelerator.
container/multislice/network/dcn_transfer_latencies BETA  (project)
DCN (Data Center Network) transfer latencies
DELTA, DISTRIBUTION, us
k8s_container 		Distribution of network transfer latencies for multislice traffic. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
buffer_size: Size of the buffer.
make: Make of the accelerator.
model: Model of the accelerator.
tpu_topology: Topology of the TPU accelerator.
type: Protocol Type.
container/restart_count GA  (project)
Restart count
CUMULATIVE, INT64, 1
k8s_container 		Number of times the container has restarted. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
container/uptime GA  (project)
Uptime
GAUGE, DOUBLE, s
k8s_container 		Time in seconds that the container has been running. Sampled every 60 seconds.
gcsfusecsi/file_cache_read_bytes_count BETA  (project)
File cache read bytes count
CUMULATIVE, INT64, By
k8s_pod 		The cumulative number of bytes read from file cache along with read type - Sequential/Random. Sampled every 10 seconds.
read_type: Type of read, either sequential or random.
volume_name: Name of the GCSFuse CSI backed volume.
bucket_name: Name of the GCS Bucket.
pod_uid: Pod UID.
gcsfusecsi/file_cache_read_count BETA  (project)
File cache read count
CUMULATIVE, INT64, 1
k8s_pod 		Specifies the cumulative number of read requests made via file cache along with type - Sequential/Random and cache hit - true/false. Sampled every 10 seconds.
cache_hit: (BOOL) Cache hit or miss.
read_type: Type of read, either sequential or random.
volume_name: Name of the GCSFuse CSI backed volume.
bucket_name: Name of the GCS Bucket.
pod_uid: Pod UID.
gcsfusecsi/file_cache_read_latencies BETA  (project)
File cache read latencies
CUMULATIVE, DISTRIBUTION, us
k8s_pod 		The cumulative distribution of the file cache read latencies along with cache hit - true/false. Sampled every 10 seconds.
cache_hit: (BOOL) Cache hit or miss.
volume_name: Name of the GCSFuse CSI backed volume.
bucket_name: Name of the GCS Bucket.
pod_uid: Pod UID.
gcsfusecsi/fs_ops_count BETA  (project)
File system operations count
CUMULATIVE, INT64, 1
k8s_pod 		The cumulative number of operations processed by the filesystem. Sampled every 10 seconds.
fs_op: Filesystem operation type.
volume_name: Name of the GCSFuse CSI backed volume.
bucket_name: Name of the GCS Bucket.
pod_uid: Pod UID.
gcsfusecsi/fs_ops_error_count BETA  (project)
File system operations error count
CUMULATIVE, INT64, 1
k8s_pod 		The cumulative number of errors generated by filesystem operations. Sampled every 10 seconds.
fs_op: Filesystem operation type.
fs_error_category: Filesystem error category.
volume_name: Name of the GCSFuse CSI backed volume.
bucket_name: Name of the GCS Bucket.
pod_uid: Pod UID.
gcsfusecsi/fs_ops_latencies BETA  (project)
File system operation latencies
CUMULATIVE, DISTRIBUTION, us
k8s_pod 		The cumulative distribution of filesystem operation latencies. Sampled every 10 seconds.
fs_op: Filesystem operation type.
volume_name: Name of the GCSFuse CSI backed volume.
bucket_name: Name of the GCS Bucket.
pod_uid: Pod UID.
gcsfusecsi/gcs_download_bytes_count BETA  (project)
GCS download bytes count
CUMULATIVE, INT64, By
k8s_pod 		The cumulative number of bytes downloaded from GCS along with type - Sequential/Random. Sampled every 10 seconds.
read_type: Type of read, either sequential or random.
volume_name: Name of the GCSFuse CSI backed volume.
bucket_name: Name of the GCS Bucket.
pod_uid: Pod UID.
gcsfusecsi/gcs_read_bytes_count BETA  (project)
GCS read bytes count
CUMULATIVE, INT64, By
k8s_pod 		The cumulative number of bytes read from GCS objects. Sampled every 10 seconds.
volume_name: Name of the GCSFuse CSI backed volume.
bucket_name: Name of the GCS Bucket.
pod_uid: Pod UID.
gcsfusecsi/gcs_read_count BETA  (project)
GCS read count
CUMULATIVE, INT64, 1
k8s_pod 		Specifies the cumulative number of GCS reads made along with type - Sequential/Random. Sampled every 10 seconds.
read_type: Type of read, either sequential or random.
volume_name: Name of the GCSFuse CSI backed volume.
bucket_name: Name of the GCS Bucket.
pod_uid: Pod UID.
gcsfusecsi/gcs_reader_count BETA  (project)
GCS reader count
CUMULATIVE, INT64, 1
k8s_pod 		The cumulative number of GCS object readers opened or closed. Sampled every 10 seconds.
io_method: The name of the IO method.
volume_name: Name of the GCSFuse CSI backed volume.
bucket_name: Name of the GCS Bucket.
pod_uid: Pod UID.
gcsfusecsi/gcs_request_count BETA  (project)
GCS request count
CUMULATIVE, INT64, 1
k8s_pod 		The cumulative number of GCS requests processed. Sampled every 10 seconds.
gcs_method: The name of the GCS method.
volume_name: Name of the GCSFuse CSI backed volume.
bucket_name: Name of the GCS Bucket.
pod_uid: Pod UID.
gcsfusecsi/gcs_request_latencies BETA  (project)
GCS request latencies
CUMULATIVE, DISTRIBUTION, us
k8s_pod 		The cumulative distribution of GCS request latencies. Sampled every 10 seconds.
gcs_method: The name of the GCS method.
volume_name: Name of the GCSFuse CSI backed volume.
bucket_name: Name of the GCS Bucket.
pod_uid: Pod UID.
node/accelerator/duty_cycle BETA  (project)
Accelerator duty cycle with node
GAUGE, DOUBLE, percent
k8s_node 		Percent of time over the past sample period (10s) during which the accelerator was actively processing. Sampled every 60 seconds.
make: Make of the accelerator.
accelerator_id: ID of the accelerator.
model: Model of the accelerator.
node/accelerator/memory_bandwidth_utilization BETA  (project)
Memory bandwidth utilization
GAUGE, DOUBLE, percent
k8s_node 		Current percentage of the accelerator memory bandwidth that is being used. Computed by dividing the memory bandwidth used over a sample period by the maximum supported bandwidth over the same sample period. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
make: Make of the accelerator.
accelerator_id: ID of the accelerator.
model: Model of the accelerator.
tpu_topology: Topology of the TPU accelerator.
node/accelerator/memory_total BETA  (project)
Accelerator memory total with node
GAUGE, INT64, bytes
k8s_node 		Total accelerator memory in bytes. Sampled every 60 seconds.
make: Make of the accelerator.
accelerator_id: ID of the accelerator.
model: Model of the accelerator.
node/accelerator/memory_used BETA  (project)
Accelerator memory used with node
GAUGE, INT64, bytes
k8s_node 		Total accelerator memory allocated in bytes. Sampled every 60 seconds.
make: Make of the accelerator.
accelerator_id: ID of the accelerator.
model: Model of the accelerator.
node/accelerator/tensorcore_utilization BETA  (project)
Tensorcore utilization
GAUGE, DOUBLE, percent
k8s_node 		Current percentage of the Tensorcore that is utilized. Computed by dividing the Tensorcore operations that were performed over a sample period by the supported number of Tensorcore operations over the same sample period. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
make: Make of the accelerator.
accelerator_id: ID of the accelerator.
model: Model of the accelerator.
tpu_topology: Topology of the TPU accelerator.
node/cpu/allocatable_cores GA  (project)
Allocatable cores
GAUGE, DOUBLE, {cpu}
k8s_node 		Number of allocatable CPU cores on the node. Sampled every 60 seconds.
node/cpu/allocatable_utilization GA  (project)
CPU allocatable utilization
GAUGE, DOUBLE, 1
k8s_node 		The fraction of the allocatable CPU that is currently in use on the instance. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
node/cpu/core_usage_time GA  (project)
CPU usage time
CUMULATIVE, DOUBLE, s{CPU}
k8s_node 		Cumulative CPU usage on all cores used on the node in seconds. Sampled every 60 seconds.
node/cpu/total_cores GA  (project)
Total cores
GAUGE, DOUBLE, {cpu}
k8s_node 		Total number of CPU cores on the node. Sampled every 60 seconds.
node/ephemeral_storage/allocatable_bytes GA  (project)
Allocatable ephemeral storage
GAUGE, INT64, By
k8s_node 		Local ephemeral storage bytes allocatable on the node. Sampled every 60 seconds.
node/ephemeral_storage/inodes_free GA  (project)
Free inodes
GAUGE, INT64, 1
k8s_node 		Free number of inodes on local ephemeral storage. Sampled every 60 seconds.
node/ephemeral_storage/inodes_total GA  (project)
Total inodes
GAUGE, INT64, 1
k8s_node 		Total number of inodes on local ephemeral storage. Sampled every 60 seconds.
node/ephemeral_storage/total_bytes GA  (project)
Total ephemeral storage
GAUGE, INT64, By
k8s_node 		Total ephemeral storage bytes on the node. Sampled every 60 seconds.
node/ephemeral_storage/used_bytes GA  (project)
Ephemeral storage usage
GAUGE, INT64, By
k8s_node 		Local ephemeral storage bytes used by the node. Sampled every 60 seconds.
node/latencies/startup BETA  (project)
Node startup latency
GAUGE, INT64, s
k8s_node 		The total startup latency of the node, from GCE instance's CreationTimestamp to K8s node ready first time. Sampled every 60 seconds.
is_control_plane_ready_at_creation: Whether the node creation request was received when KCP (kube control plane) was available.
node/logs/input_bytes BETA  (project)
Logging throughput
DELTA, INT64, By
k8s_node 		Volume of log bytes generated on the node by user and system workloads. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
type: Type is either 'system' or 'workload'. 'system' indicates the logging throughput of GKE system components. 'workload' indicates the throughput of logs generated by non-system containers running on user nodes.
node/memory/allocatable_bytes GA  (project)
Allocatable memory
GAUGE, INT64, By
k8s_node 		Number of bytes of memory that can be allocated for workloads on the node. Sampled every 60 seconds.
node/memory/allocatable_utilization GA  (project)
Memory allocatable utilization
GAUGE, DOUBLE, 1
k8s_node 		The fraction of the allocatable memory that is currently in use on the instance. This value cannot exceed 1 as usage cannot exceed allocatable memory bytes. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
memory_type: Either `evictable` or `non-evictable`. Evictable memory is memory that can be easily reclaimed by the kernel, while non-evictable memory cannot.
component: Name of the respective system daemon.
node/memory/total_bytes GA  (project)
Total memory
GAUGE, INT64, By
k8s_node 		Total number of bytes of memory on the node. Sampled every 60 seconds.
node/memory/used_bytes GA  (project)
Memory usage
GAUGE, INT64, By
k8s_node 		Cumulative memory bytes used by the node. Sampled every 60 seconds.
memory_type: Either `evictable` or `non-evictable`. Evictable memory is memory that can be easily reclaimed by the kernel, while non-evictable memory cannot.
node/network/received_bytes_count GA  (project)
Bytes received
CUMULATIVE, INT64, By
k8s_node 		Cumulative number of bytes received by the node over the network. Sampled every 60 seconds.
node/network/sent_bytes_count GA  (project)
Bytes transmitted
CUMULATIVE, INT64, By
k8s_node 		Cumulative number of bytes transmitted by the node over the network. Sampled every 60 seconds.
node/pid_limit GA  (project)
PID capacity
GAUGE, INT64, 1
k8s_node 		The max PID of OS on the node. Sampled every 60 seconds.
node/pid_used GA  (project)
PID usage
GAUGE, INT64, 1
k8s_node 		The number of running process in the OS on the node. Sampled every 60 seconds.
node_daemon/cpu/core_usage_time GA  (project)
CPU usage time
CUMULATIVE, DOUBLE, s{CPU}
k8s_node 		Cumulative CPU usage on all cores used by the node level system daemon in seconds. Sampled every 60 seconds.
component: Name of the respective system daemon.
node_daemon/memory/used_bytes GA  (project)
Memory usage
GAUGE, INT64, By
k8s_node 		Memory usage by the system daemon in bytes. Sampled every 60 seconds.
component: Name of the respective system daemon.
memory_type: Either `evictable` or `non-evictable`. Evictable memory is memory that can be easily reclaimed by the kernel, while non-evictable memory cannot.
pod/ephemeral_storage/used_bytes BETA  (project)
Ephemeral pod storage usage
GAUGE, INT64, By
k8s_pod 		Pod ephemeral storage usage in bytes. Sampled every 60 seconds.
pod/latencies/pod_first_ready BETA  (project)
Pod first ready latency
GAUGE, DOUBLE, s
k8s_pod 		The Pod end-to-end startup latency (from Pod Created to Ready), including image pulls. Sampled every 60 seconds.
pod/network/policy_event_count BETA  (project)
Network policy event count
DELTA, INT64, 1
k8s_pod 		Change in the number of network policy events seen in the dataplane. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
verdict: Policy verdict, possible values: [allow, deny].
workload_kind: Kind of the workload, policy-enforced-pod belongs to, for example, "Deployment", "Replicaset", "StatefulSet", "DaemonSet", "Job" or "CronJob".
workload_name: Name of the workload, policy-enforced-pod belongs to.
direction: Direction of the traffic from the point of view of policy-enforced-pod, possible values: [ingress, egress].
pod/network/received_bytes_count GA  (project)
Bytes received
CUMULATIVE, INT64, By
k8s_pod 		Cumulative number of bytes received by the pod over the network. Sampled every 60 seconds.
pod/network/sent_bytes_count GA  (project)
Bytes transmitted
CUMULATIVE, INT64, By
k8s_pod 		Cumulative number of bytes transmitted by the pod over the network. Sampled every 60 seconds.
pod/volume/total_bytes GA  (project)
Volume capacity
GAUGE, INT64, By
k8s_pod 		Total number of disk bytes available to the pod. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
volume_name: The name of the volume (e.g. `/dev/sda1`).
persistentvolumeclaim_name: The name of the referenced Persistent Volume Claim.
persistentvolumeclaim_namespace: The namespace of the referenced Persistent Volume Claim.
pod/volume/used_bytes GA  (project)
Volume usage
GAUGE, INT64, By
k8s_pod 		Number of disk bytes used by the pod. Sampled every 60 seconds.
volume_name: The name of the volume (e.g. `/dev/sda1`).
persistentvolumeclaim_name: The name of the referenced Persistent Volume Claim.
persistentvolumeclaim_namespace: The namespace of the referenced Persistent Volume Claim.
pod/volume/utilization GA  (project)
Volume utilization
GAUGE, DOUBLE, 1
k8s_pod 		The fraction of the volume that is currently being used by the instance. This value cannot be greater than 1 as usage cannot exceed the total available volume space. Sampled every 60 seconds. After sampling, data is not visible for up to 120 seconds.
volume_name: The name of the volume (e.g. `/dev/sda1`).
persistentvolumeclaim_name: The name of the referenced Persistent Volume Claim.
persistentvolumeclaim_namespace: The namespace of the referenced Persistent Volume Claim.

nginx

Metrics exported from the NGINX Prometheus Exporter. Launch stages of these metrics: ALPHA

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

Metric type Launch stage (Resource hierarchy levels)
Display name
Kind, Type, Unit
Monitored resources		 Description
Labels
connections_accepted ALPHA  (project)
Nginx connections_accepted
CUMULATIVE, INT64, {connection}
k8s_container 		Accepted client connections. Sampled every 60 seconds.
connections_active ALPHA  (project)
Nginx connections_active
GAUGE, INT64, {connection}
k8s_container 		Active client connections. Sampled every 60 seconds.
connections_handled ALPHA  (project)
Nginx connections_handled
CUMULATIVE, INT64, {connection}
k8s_container 		Handled client connections. Sampled every 60 seconds.
connections_reading ALPHA  (project)
Nginx connections_reading
GAUGE, INT64, {connection}
k8s_container 		Connections where NGINX is reading the request header. Sampled every 60 seconds.
connections_waiting ALPHA  (project)
Nginx connections_waiting
GAUGE, INT64, {connection}
k8s_container 		Idle client connections. Sampled every 60 seconds.
connections_writing ALPHA  (project)
Nginx connections_writing
GAUGE, INT64, {connection}
k8s_container 		Connections where NGINX is writing the response back to the client. Sampled every 60 seconds.
http_requests_total ALPHA  (project)
Nginx http_requests_total
CUMULATIVE, INT64, {request}
k8s_container 		Total http requests. Sampled every 60 seconds.
nginxexporter_build_info ALPHA  (project)
Nginx nginxexporter_build_info
GAUGE, INT64, 1
k8s_container 		Exporter build information. Sampled every 60 seconds.
gitCommit: Commit hash of the build which can be abbreviated.
version: Build version.
up ALPHA  (project)
Nginx up
GAUGE, INT64, 1
k8s_container 		Status of the last metric scrape. Indicates if the server is up or not. Sampled every 60 seconds.

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