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Deployment and HPA metrics with Container insights

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The Container insights integrated agent automatically collects metrics for deployments and horizontal pod autoscalers (HPAs).

Deployment metrics

Container insights automatically starts monitoring deployments by collecting the following metrics at 60-second intervals and storing them in the InsightMetrics table.

Metric name Metric dimension (tags) Description
kube_deployment_status_replicas_ready container.azm.ms/clusterId, container.azm.ms/clusterName, creationTime, deployment, deploymentStrategy, k8sNamespace, spec_replicas, status_replicas_available, status_replicas_updated (status.updatedReplicas) Total number of ready pods targeted by this deployment (status.readyReplicas). The dimensions of this metric are:
  • deployment - name of the deployment
  • k8sNamespace - Kubernetes namespace for the deployment
  • deploymentStrategy - Deployment strategy to use to replace pods with new ones (spec.strategy.type)
  • creationTime - deployment creation timestamp
  • spec_replicas - Number of desired pods (spec.replicas)
  • status_replicas_available - Total number of available pods (ready for at least minReadySeconds) targeted by this deployment (status.availableReplicas)
  • status_replicas_updated - Total number of non-terminated pods targeted by this deployment that have the desired template spec (status.updatedReplicas)

HPA metrics

Container insights automatically starts monitoring HPAs by collecting the following metrics at 60-second intervals and storing them in the InsightMetrics table.

Metric name Metric dimension (tags) Description
kube_hpa_status_current_replicas container.azm.ms/clusterId, container.azm.ms/clusterName, creationTime, hpa, k8sNamespace, lastScaleTime, spec_max_replicas, spec_min_replicas, status_desired_replicas, targetKind, targetName Current number of replicas of pods managed by this autoscaler (status.currentReplicas). The dimensions of this metric are:
  • hpa - name of the HPA
  • k8sNamespace - Kubernetes namespace for the HPA
  • lastScaleTime - Last time the HPA scaled the number of pods (status.lastScaleTime)
  • creationTime - HPA creation timestamp
  • spec_max_replicas - Upper limit for the number of pods that can be set by the autoscaler (spec.maxReplicas)
  • spec_min_replicas - Lower limit for the number of replicas to which the autoscaler can scale down (spec.minReplicas)
  • status_desired_replicas - Desired number of replicas of pods managed by this autoscaler (status.desiredReplicas)
  • targetKind - Kind of the HPA's target (spec.scaleTargetRef.kind)
  • targetName - Name of the HPA's target (spec.scaleTargetRef.name)

Deployment and HPA charts

Container insights includes preconfigured charts for the metrics listed earlier in the table as a workbook for every cluster. You can find the deployments and HPA workbook Deployments & HPA directly from an Azure Kubernetes Service cluster. On the left pane, select Workbooks and select View Workbooks from the dropdown list in the insight.

Next steps

Review Kube-state metrics in Kubernetes to learn more about Kube-state metrics.