Collect and view cAdvisor/Kubelet metrics


This page describes how to configure a Google Kubernetes Engine (GKE) cluster to send a curated set of cAdvisor/Kubelet metrics to Cloud Monitoring using Google Cloud Managed Service for Prometheus. This page also describes how these metrics are formatted when they are written to Monitoring, and how to query metrics.

The curated set of metrics is a subset of the set of cAdvisor/Kubelet metrics built into every Kubernetes deployment by default and includes metrics related to reducing ingestion volume and associated costs.

Before you begin

Before you start, make sure you have performed the following tasks:

  • Enable the Google Kubernetes Engine API.
  • Enable Google Kubernetes Engine API
  • If you want to use the Google Cloud CLI for this task, install and then initialize the gcloud CLI. If you previously installed the gcloud CLI, get the latest version by running gcloud components update.

Requirements

To collect cAdvisor/Kubelet metrics, your GKE cluster must meet the following requirements:

  • The cluster must be running GKE version 1.29.3-gke.1093000 or later. cAdvisor/Kubelet packages are enabled by default when you create a cluster running version 1.29.3-gke.1093000 or later.
  • The cluster must have system metrics enabled.
  • The cluster has Google Cloud Managed Service for Prometheus managed collection enabled. Google Cloud Managed Service for Prometheus managed collection is enabled by default for new clusters.

Configuring collection of cAdvisor/Kubelet metrics

You can enable cAdvisor/Kubelet metrics in an existing GKE cluster using the Google Cloud console, the gcloud CLI, or Terraform.

Console

To configure cAdvisor/Kubelet metrics from the Details tab for the cluster, do the following:

  1. In the Google Cloud console, go to the Kubernetes clusters page:

    Go to Kubernetes clusters

    If you use the search bar to find this page, then select the result whose subheading is Kubernetes Engine.

  2. Click your cluster's name.

  3. In the Features row labelled Cloud Monitoring, click the Edit icon.

  4. In the Edit Cloud Monitoring dialog that appears, confirm that Enable Cloud Monitoring is selected.

  5. In the Components drop-down menu, select the cAdvisor/Kubelet components from which you would like to collect metrics:

    • cAdvisor
    • Kubelet
  6. Click OK.

  7. Click Save Changes.

gcloud

Update your cluster to collect metrics:

gcloud container clusters update CLUSTER_NAME \
    --location=COMPUTE_LOCATION \
    --enable-managed-prometheus \
    --monitoring=SYSTEM,CADVISOR,KUBELET

Replace the following:

The set of values supplied to the monitoring flag overrides any previous setting.

Terraform

To configure the collection of cAdvisor/Kubelet metrics by using Terraform, see the monitoring_config block in the Terraform registry for google_container_cluster. For general information about using Google Cloud with Terraform, see Terraform with Google Cloud.

Metric format

All Kubernetes cAdvisor/Kubelet metrics written to Cloud Monitoring use the resource type prometheus_target. Each metric name is prefixed with prometheus.googleapis.com/ and has a suffix indicating the Prometheus metric type, such as /gauge, /histogram, or /counter. Otherwise, each metric name is identical to the metric name exposed by open source Kubernetes.

Exporting from Cloud Monitoring

The cAdvisor/Kubelet metrics can be exported from Cloud Monitoring by using the Cloud Monitoring API. Because all cAdvisor/Kubelet metrics are ingested by using Google Cloud Managed Service for Prometheus, cAdvisor/Kubelet metrics can be queried by using Prometheus Query Language (PromQL). They can also be queried by using by using Monitoring Query Language (MQL).

Querying metrics

When you query cAdvisor/Kubelet metrics, the name you use depends on whether you are using PromQL or Cloud Monitoring-based features like MQL or the Metrics Explorer menu-driven interface.

The following tables of cAdvisor/Kubelet metrics show two versions of each metric name:

  • PromQL metric name: When using PromQL in Cloud Monitoring pages of the Google Cloud console or in PromQL fields of the Cloud Monitoring API, use the PromQL metric name.
  • Cloud Monitoring metric name When using other Cloud Monitoring features, use the Cloud Monitoring metric name in the tables below. This name must be prefixed with prometheus.googleapis.com/, which has been omitted from the entries in the table.

cAdvisor metrics

The Cloud Monitoring metric names in this table must be prefixed with prometheus.googleapis.com/. That prefix has been omitted from the entries in the table.

PromQL metric name
Cloud Monitoring metric name
Kind, Type, Unit
Monitored resources
Required GKE version
Description
Labels
container_cpu_cfs_periods_total
container_cpu_cfs_periods_total/counter
CUMULATIVEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Number of elapsed enforcement period intervals. Sampled every 30 seconds.

cpu
container_cpu_cfs_throttled_periods_total
container_cpu_cfs_throttled_periods_total/counter
CUMULATIVEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Number of throttled period intervals. Sampled every 30 seconds.

cpu
container_cpu_usage_seconds_total
container_cpu_usage_seconds_total/counter
CUMULATIVEDOUBLEs
prometheus_target
1.29.3-gke.1093000
Cumulative cpu time consumed. Sampled every 30 seconds.

cpu
container_fs_limit_bytes
container_fs_limit_bytes/gauge
GAUGEDOUBLEBy
prometheus_target
1.29.3-gke.1093000
Number of bytes that can be consumed by the container on this filesystem. Sampled every 30 seconds.

disk
container_fs_read_seconds_total
container_fs_read_seconds_total/counter
CUMULATIVEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Cumulative count of reads completed. Sampled every 30 seconds.

diskIO
container_fs_reads_bytes_total
container_fs_reads_bytes_total/counter
CUMULATIVEDOUBLEBy
prometheus_target
1.29.3-gke.1093000
Cumulative count of bytes read. Sampled every 30 seconds.

diskIO
container_fs_reads_total
container_fs_reads_total/counter
CUMULATIVEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Cumulative count of reads completed. Sampled every 30 seconds.

diskIO
container_fs_usage_bytes
container_fs_usage_bytes/gauge
GAUGEDOUBLEBy
prometheus_target
1.29.3-gke.1093000
Number of bytes that are consumed by the container on this filesystem. Sampled every 30 seconds.

disk
container_fs_write_seconds_total
container_fs_write_seconds_total/counter
CUMULATIVEDOUBLEs
prometheus_target
1.29.3-gke.1093000
Cumulative count of seconds spent writing. Sampled every 30 seconds.

diskIO
container_fs_writes_bytes_total
container_fs_writes_bytes_total/counter
CUMULATIVEDOUBLEBy
prometheus_target
1.29.3-gke.1093000
Cumulative count of bytes written. Sampled every 30 seconds.

diskIO
container_fs_writes_total
container_fs_writes_total/counter
CUMULATIVEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Cumulative count of writes completed. Sampled every 30 seconds.

diskIO
container_memory_rss
container_memory_rss/gauge
GAUGEDOUBLEBy
prometheus_target
1.29.3-gke.1093000
Size of RSS. Sampled every 30 seconds.

memory
container_memory_working_set_bytes
container_memory_working_set_bytes/gauge
GAUGEDOUBLEBy
prometheus_target
1.29.3-gke.1093000
Current working set. Sampled every 30 seconds.

memory
container_network_receive_bytes_total
container_network_receive_bytes_total/counter
CUMULATIVEDOUBLEBy
prometheus_target
1.29.3-gke.1093000
Cumulative count of bytes received. Sampled every 30 seconds.

network
container_network_receive_packets_dropped_total
container_network_receive_packets_dropped_total/counter
CUMULATIVEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Cumulative count of packets dropped while receiving. Sampled every 30 seconds.

network
container_network_receive_packets_total
container_network_receive_packets_total/counter
CUMULATIVEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Cumulative count of packets received. Sampled every 30 seconds.

network
container_network_transmit_bytes_total
container_network_transmit_bytes_total/counter
CUMULATIVEDOUBLEBy
prometheus_target
1.29.3-gke.1093000
Cumulative count of bytes transmitted. Sampled every 30 seconds.

network
container_network_transmit_packets_dropped_total
container_network_transmit_packets_dropped_total/counter
CUMULATIVEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Cumulative count of packets dropped while transmitting. Sampled every 30 seconds.

network
container_network_transmit_packets_total
container_network_transmit_packets_total/counter
CUMULATIVEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Cumulative count of packets transmitted. Sampled every 30 seconds.

network

Kubelet metrics

The Cloud Monitoring metric names in this table must be prefixed with prometheus.googleapis.com/. That prefix has been omitted from the entries in the table.

PromQL metric name
Cloud Monitoring metric name
Kind, Type, Unit
Monitored resources
Required GKE version
Description
Labels
kubelet_certificate_manager_server_ttl_seconds
kubelet_certificate_manager_server_ttl_seconds/gauge
GAUGEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Gauge of the shortest TTL (time-to-live) of the Kubelet's serving certificate. The value is in seconds until certificate expiry (negative if already expired). If serving certificate is invalid or unused, the value will be +INF. Sampled every 30 seconds.

 
kubelet_node_name
kubelet_node_name/gauge
GAUGEDOUBLE1
prometheus_target
1.29.3-gke.1093000
The node's name. The count is always 1. Sampled every 30 seconds.

node
kubelet_pleg_relist_duration_seconds
kubelet_pleg_relist_duration_seconds/histogram
CUMULATIVEDISTRIBUTIONs
prometheus_target
1.29.3-gke.1093000
Duration in seconds for relisting pods in PLEG. Sampled every 30 seconds.

 
kubelet_pod_worker_duration_seconds
kubelet_pod_worker_duration_seconds/histogram
CUMULATIVEDISTRIBUTIONs
prometheus_target
1.29.3-gke.1093000
Duration in seconds to sync a single pod. Broken down by operation type: create, update, or sync. Sampled every 30 seconds.

operation_type
kubelet_running_containers
kubelet_running_containers/gauge
GAUGEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Number of containers currently running. Sampled every 30 seconds.

container_state
kubelet_running_pods
kubelet_running_pods/gauge
GAUGEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Number of pods that have a running pod sandbox. Sampled every 30 seconds.

 
kubelet_runtime_operations_total
kubelet_runtime_operations_total/counter
CUMULATIVEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Cumulative number of runtime operations by operation type. Sampled every 30 seconds.

operation_type
kubelet_volume_stats_available_bytes
kubelet_volume_stats_available_bytes/gauge
GAUGEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Number of available bytes in the volume. Sampled every 30 seconds.

namespace
persistentvolumeclaim
kubelet_volume_stats_capacity_bytes
kubelet_volume_stats_capacity_bytes/gauge
GAUGEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Capacity in bytes of the volume. Sampled every 30 seconds.

namespace
persistentvolumeclaim
kubelet_volume_stats_inodes
kubelet_volume_stats_inodes/gauge
GAUGEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Maximum number of inodes in the volume. Sampled every 30 seconds.

namespace
persistentvolumeclaim
kubelet_volume_stats_inodes_free
kubelet_volume_stats_inodes_free/gauge
GAUGEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Number of free inodes in the volume. Sampled every 30 seconds.

namespace
persistentvolumeclaim
kubelet_volume_stats_inodes_used
kubelet_volume_stats_inodes_used/gauge
GAUGEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Number of used inodes in the volume. Sampled every 30 seconds.

namespace
persistentvolumeclaim
kubelet_volume_stats_used_bytes
kubelet_volume_stats_used_bytes/gauge
GAUGEDOUBLE1
prometheus_target
1.29.3-gke.1093000
Number of used bytes in the volume. Sampled every 30 seconds.

namespace
persistentvolumeclaim