See below 35 alerts configured on Prometheus in order to manage Kubernetes correcly
groups:
– name: KubestateExporter
rules:
– alert: KubernetesNodeNotReady
expr: ‘kube_node_status_condition{condition=”Ready”,status=”true”} == 0’
for: 10m
labels:
severity: critical
annotations:
summary: Kubernetes Node ready (node {{ $labels.node }})
description: “Node {{ $labels.node }} has been unready for a long time\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesNodeMemoryPressure
expr: ‘kube_node_status_condition{condition=”MemoryPressure”,status=”true”} == 1’
for: 2m
labels:
severity: critical
annotations:
summary: Kubernetes memory pressure (node {{ $labels.node }})
description: “Node {{ $labels.node }} has MemoryPressure condition\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesNodeDiskPressure
expr: ‘kube_node_status_condition{condition=”DiskPressure”,status=”true”} == 1’
for: 2m
labels:
severity: critical
annotations:
summary: Kubernetes disk pressure (node {{ $labels.node }})
description: “Node {{ $labels.node }} has DiskPressure condition\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesNodeNetworkUnavailable
expr: ‘kube_node_status_condition{condition=”NetworkUnavailable”,status=”true”} == 1’
for: 2m
labels:
severity: critical
annotations:
summary: Kubernetes Node network unavailable (instance {{ $labels.instance }})
description: “Node {{ $labels.node }} has NetworkUnavailable condition\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesNodeOutOfPodCapacity
expr: ‘sum by (node) ((kube_pod_status_phase{phase=”Running”} == 1) + on(uid) group_left(node) (0 * kube_pod_info{pod_template_hash=””})) / sum by (node) (kube_node_status_allocatable{resource=”pods”}) * 100 > 90’
for: 2m
labels:
severity: warning
annotations:
summary: Kubernetes Node out of pod capacity (instance {{ $labels.instance }})
description: “Node {{ $labels.node }} is out of pod capacity\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesContainerOomKiller
expr: ‘(kube_pod_container_status_restarts_total – kube_pod_container_status_restarts_total offset 10m >= 1) and ignoring (reason) min_over_time(kube_pod_container_status_last_terminated_reason{reason=”OOMKilled”}[10m]) == 1’
for: 0m
labels:
severity: warning
annotations:
summary: Kubernetes container oom killer ({{ $labels.namespace }}/{{ $labels.pod }}:{{ $labels.container }})
description: “Container {{ $labels.container }} in pod {{ $labels.namespace }}/{{ $labels.pod }} has been OOMKilled {{ $value }} times in the last 10 minutes.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesJobFailed
expr: ‘kube_job_status_failed > 0’
for: 0m
labels:
severity: warning
annotations:
summary: Kubernetes Job failed ({{ $labels.namespace }}/{{ $labels.job_name }})
description: “Job {{ $labels.namespace }}/{{ $labels.job_name }} failed to complete\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesJobNotStarting
expr: ‘kube_job_status_active == 0 and kube_job_status_failed == 0 and kube_job_status_succeeded == 0 and (time() – kube_job_status_start_time) > 600’
for: 0m
labels:
severity: warning
annotations:
summary: Kubernetes Job not starting ({{ $labels.namespace }}/{{ $labels.job_name }})
description: “Job {{ $labels.namespace }}/{{ $labels.job_name }} did not start for 10 minutes\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesCronjobSuspended
expr: ‘kube_cronjob_spec_suspend != 0’
for: 0m
labels:
severity: warning
annotations:
summary: Kubernetes CronJob suspended ({{ $labels.namespace }}/{{ $labels.cronjob }})
description: “CronJob {{ $labels.namespace }}/{{ $labels.cronjob }} is suspended\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesPersistentvolumeclaimPending
expr: ‘kube_persistentvolumeclaim_status_phase{phase=”Pending”} == 1’
for: 2m
labels:
severity: warning
annotations:
summary: Kubernetes PersistentVolumeClaim pending ({{ $labels.namespace }}/{{ $labels.persistentvolumeclaim }})
description: “PersistentVolumeClaim {{ $labels.namespace }}/{{ $labels.persistentvolumeclaim }} is pending\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesVolumeOutOfDiskSpace
expr: ‘kubelet_volume_stats_available_bytes / kubelet_volume_stats_capacity_bytes * 100 < 10’
for: 2m
labels:
severity: warning
annotations:
summary: Kubernetes Volume out of disk space (instance {{ $labels.instance }})
description: “Volume is almost full (< 10% left)\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesVolumeFullInFourDays
expr: ‘predict_linear(kubelet_volume_stats_available_bytes[6h:5m], 4 * 24 * 3600) < 0’
for: 0m
labels:
severity: critical
annotations:
summary: Kubernetes Volume full in four days (instance {{ $labels.instance }})
description: “Volume under {{ $labels.namespace }}/{{ $labels.persistentvolumeclaim }} is expected to fill up within four days. Currently {{ $value | humanize }}% is available.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesPersistentvolumeError
expr: ‘kube_persistentvolume_status_phase{phase=~”Failed|Pending”, job=”kube-state-metrics”} > 0’
for: 0m
labels:
severity: critical
annotations:
summary: Kubernetes PersistentVolumeClaim pending ({{ $labels.namespace }}/{{ $labels.persistentvolumeclaim }})
description: “Persistent volume {{ $labels.persistentvolume }} is in bad state\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesStatefulsetDown
expr: ‘kube_statefulset_replicas != kube_statefulset_status_replicas_ready > 0’
for: 1m
labels:
severity: critical
annotations:
summary: Kubernetes StatefulSet down ({{ $labels.namespace }}/{{ $labels.statefulset }})
description: “StatefulSet {{ $labels.namespace }}/{{ $labels.statefulset }} went down\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesHpaScaleInability
expr: ‘(kube_horizontalpodautoscaler_spec_max_replicas – kube_horizontalpodautoscaler_status_desired_replicas) * on (horizontalpodautoscaler,namespace) (kube_horizontalpodautoscaler_status_condition{condition=”ScalingLimited”, status=”true”} == 1) == 0’
for: 2m
labels:
severity: warning
annotations:
summary: Kubernetes HPA scale inability (instance {{ $labels.instance }})
description: “HPA {{ $labels.namespace }}/{{ $labels.horizontalpodautoscaler }} is unable to scale\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesHpaMetricsUnavailability
expr: ‘kube_horizontalpodautoscaler_status_condition{status=”false”, condition=”ScalingActive”} == 1’
for: 0m
labels:
severity: warning
annotations:
summary: Kubernetes HPA metrics unavailability (instance {{ $labels.instance }})
description: “HPA {{ $labels.namespace }}/{{ $labels.horizontalpodautoscaler }} is unable to collect metrics\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesHpaScaleMaximum
expr: ‘(kube_horizontalpodautoscaler_status_desired_replicas >= kube_horizontalpodautoscaler_spec_max_replicas) and (kube_horizontalpodautoscaler_spec_max_replicas > 1) and (kube_horizontalpodautoscaler_spec_min_replicas != kube_horizontalpodautoscaler_spec_max_replicas)’
for: 2m
labels:
severity: info
annotations:
summary: Kubernetes HPA scale maximum (instance {{ $labels.instance }})
description: “HPA {{ $labels.namespace }}/{{ $labels.horizontalpodautoscaler }} has hit maximum number of desired pods\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesHpaUnderutilized
expr: ‘max(quantile_over_time(0.5, kube_horizontalpodautoscaler_status_desired_replicas[1d]) == kube_horizontalpodautoscaler_spec_min_replicas) by (horizontalpodautoscaler) > 3’
for: 0m
labels:
severity: info
annotations:
summary: Kubernetes HPA underutilized (instance {{ $labels.instance }})
description: “HPA {{ $labels.namespace }}/{{ $labels.horizontalpodautoscaler }} is constantly at minimum replicas for 50% of the time. Potential cost saving here.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesPodNotHealthy
expr: ‘sum by (namespace, pod) (kube_pod_status_phase{phase=~”Pending|Unknown|Failed”}) > 0’
for: 15m
labels:
severity: critical
annotations:
summary: Kubernetes Pod not healthy ({{ $labels.namespace }}/{{ $labels.pod }})
description: “Pod {{ $labels.namespace }}/{{ $labels.pod }} has been in a non-running state for longer than 15 minutes.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesPodCrashLooping
expr: ‘increase(kube_pod_container_status_restarts_total[1m]) > 3’
for: 2m
labels:
severity: warning
annotations:
summary: Kubernetes pod crash looping ({{ $labels.namespace }}/{{ $labels.pod }})
description: “Pod {{ $labels.namespace }}/{{ $labels.pod }} is crash looping\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesReplicasetReplicasMismatch
expr: ‘kube_replicaset_spec_replicas != kube_replicaset_status_ready_replicas’
for: 10m
labels:
severity: warning
annotations:
summary: Kubernetes ReplicasSet mismatch ({{ $labels.namespace }}/{{ $labels.replicaset }})
description: “ReplicaSet {{ $labels.namespace }}/{{ $labels.replicaset }} replicas mismatch\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesDeploymentReplicasMismatch
expr: ‘kube_deployment_spec_replicas != kube_deployment_status_replicas_available’
for: 10m
labels:
severity: warning
annotations:
summary: Kubernetes Deployment replicas mismatch ({{ $labels.namespace }}/{{ $labels.deployment }})
description: “Deployment {{ $labels.namespace }}/{{ $labels.deployment }} replicas mismatch\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesStatefulsetReplicasMismatch
expr: ‘kube_statefulset_status_replicas_ready != kube_statefulset_status_replicas’
for: 10m
labels:
severity: warning
annotations:
summary: Kubernetes StatefulSet replicas mismatch (instance {{ $labels.instance }})
description: “StatefulSet does not match the expected number of replicas.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesDeploymentGenerationMismatch
expr: ‘kube_deployment_status_observed_generation != kube_deployment_metadata_generation’
for: 10m
labels:
severity: critical
annotations:
summary: Kubernetes Deployment generation mismatch ({{ $labels.namespace }}/{{ $labels.deployment }})
description: “Deployment {{ $labels.namespace }}/{{ $labels.deployment }} has failed but has not been rolled back.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesStatefulsetGenerationMismatch
expr: ‘kube_statefulset_status_observed_generation != kube_statefulset_metadata_generation’
for: 10m
labels:
severity: critical
annotations:
summary: Kubernetes StatefulSet generation mismatch ({{ $labels.namespace }}/{{ $labels.statefulset }})
description: “StatefulSet {{ $labels.namespace }}/{{ $labels.statefulset }} has failed but has not been rolled back.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesStatefulsetUpdateNotRolledOut
expr: ‘max without (revision) (kube_statefulset_status_current_revision unless kube_statefulset_status_update_revision) * (kube_statefulset_replicas != kube_statefulset_status_replicas_updated)’
for: 10m
labels:
severity: warning
annotations:
summary: Kubernetes StatefulSet update not rolled out ({{ $labels.namespace }}/{{ $labels.statefulset }})
description: “StatefulSet {{ $labels.namespace }}/{{ $labels.statefulset }} update has not been rolled out.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesDaemonsetRolloutStuck
expr: ‘kube_daemonset_status_number_ready / kube_daemonset_status_desired_number_scheduled * 100 < 100 or kube_daemonset_status_desired_number_scheduled – kube_daemonset_status_current_number_scheduled > 0’
for: 10m
labels:
severity: warning
annotations:
summary: Kubernetes DaemonSet rollout stuck ({{ $labels.namespace }}/{{ $labels.daemonset }})
description: “Some Pods of DaemonSet {{ $labels.namespace }}/{{ $labels.daemonset }} are not scheduled or not ready\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesDaemonsetMisscheduled
expr: ‘kube_daemonset_status_number_misscheduled > 0’
for: 1m
labels:
severity: critical
annotations:
summary: Kubernetes DaemonSet misscheduled ({{ $labels.namespace }}/{{ $labels.daemonset }})
description: “Some Pods of DaemonSet {{ $labels.namespace }}/{{ $labels.daemonset }} are running where they are not supposed to run\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesCronjobTooLong
expr: ‘time() – kube_cronjob_next_schedule_time > 3600’
for: 0m
labels:
severity: warning
annotations:
summary: Kubernetes CronJob too long ({{ $labels.namespace }}/{{ $labels.cronjob }})
description: “CronJob {{ $labels.namespace }}/{{ $labels.cronjob }} is taking more than 1h to complete.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesJobSlowCompletion
expr: ‘kube_job_spec_completions – kube_job_status_succeeded – kube_job_status_failed > 0’
for: 12h
labels:
severity: critical
annotations:
summary: Kubernetes job slow completion ({{ $labels.namespace }}/{{ $labels.job_name }})
description: “Kubernetes Job {{ $labels.namespace }}/{{ $labels.job_name }} did not complete in time.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesApiServerErrors
expr: ‘sum(rate(apiserver_request_total{job=”apiserver”,code=~”(?:5..)”}[1m])) by (instance, job) / sum(rate(apiserver_request_total{job=”apiserver”}[1m])) by (instance, job) * 100 > 3’
for: 2m
labels:
severity: critical
annotations:
summary: Kubernetes API server errors (instance {{ $labels.instance }})
description: “Kubernetes API server is experiencing high error rate\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesApiClientErrors
expr: ‘(sum(rate(rest_client_requests_total{code=~”(4|5)..”}[1m])) by (instance, job) / sum(rate(rest_client_requests_total[1m])) by (instance, job)) * 100 > 1’
for: 2m
labels:
severity: critical
annotations:
summary: Kubernetes API client errors (instance {{ $labels.instance }})
description: “Kubernetes API client is experiencing high error rate\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesClientCertificateExpiresNextWeek
expr: ‘apiserver_client_certificate_expiration_seconds_count{job=”apiserver”} > 0 and histogram_quantile(0.01, sum by (job, le) (rate(apiserver_client_certificate_expiration_seconds_bucket{job=”apiserver”}[5m]))) < 7*24*60*60’
for: 0m
labels:
severity: warning
annotations:
summary: Kubernetes client certificate expires next week (instance {{ $labels.instance }})
description: “A client certificate used to authenticate to the apiserver is expiring next week.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesClientCertificateExpiresSoon
expr: ‘apiserver_client_certificate_expiration_seconds_count{job=”apiserver”} > 0 and histogram_quantile(0.01, sum by (job, le) (rate(apiserver_client_certificate_expiration_seconds_bucket{job=”apiserver”}[5m]))) < 24*60*60’
for: 0m
labels:
severity: critical
annotations:
summary: Kubernetes client certificate expires soon (instance {{ $labels.instance }})
description: “A client certificate used to authenticate to the apiserver is expiring in less than 24.0 hours.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
– alert: KubernetesApiServerLatency
expr: ‘histogram_quantile(0.99, sum(rate(apiserver_request_duration_seconds_bucket{verb!~”(?:CONNECT|WATCHLIST|WATCH|PROXY)”} [10m])) WITHOUT (subresource)) > 1’
for: 2m
labels:
severity: warning
annotations:
summary: Kubernetes API server latency (instance {{ $labels.instance }})
description: “Kubernetes API server has a 99th percentile latency of {{ $value }} seconds for {{ $labels.verb }} {{ $labels.resource }}.\n VALUE = {{ $value }}\n LABELS = {{ $labels }}”
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