tests.yaml

rule_files:
  - prometheus_alerts.yaml
  - prometheus_rules.yaml

evaluation_interval: 1m

tests:
# PersistentVolume disk space
- interval: 1m
  input_series:
  - series: 'kubelet_volume_stats_available_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024 512 64 16'
  - series: 'kubelet_volume_stats_capacity_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024 1024 1024 1024'
  - series: 'kubelet_volume_stats_used_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '16 64 512 1024'
  - series: 'kube_persistentvolumeclaim_access_mode{job="ksm",namespace="monitoring",persistentvolumeclaim="somepvc", access_mode="ReadWriteOnce", service="kube-state-metrics"}'
    values: '1 1 1 1'
  alert_rule_test:
  - eval_time: 1m
    alertname: KubePersistentVolumeFillingUp
  - eval_time: 2m
    alertname: KubePersistentVolumeFillingUp
  - eval_time: 3m
    alertname: KubePersistentVolumeFillingUp
  - eval_time: 4m
    alertname: KubePersistentVolumeFillingUp
    exp_alerts:
    - exp_labels:
        job: kubelet
        namespace: monitoring
        persistentvolumeclaim: somepvc
        severity: critical
      exp_annotations:
        summary: "PersistentVolume is filling up."
        description: 'The PersistentVolume claimed by somepvc in Namespace monitoring is only 1.562% free.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumefillingup

# Don't alert when PVC access_mode is ReadOnlyMany
- interval: 1m
  input_series:
  - series: 'kubelet_volume_stats_available_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024 512 64 16'
  - series: 'kubelet_volume_stats_capacity_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024 1024 1024 1024'
  - series: 'kubelet_volume_stats_used_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '16 64 512 1024'
  - series: 'kube_persistentvolumeclaim_access_mode{job="ksm",namespace="monitoring",persistentvolumeclaim="somepvc", access_mode="ReadOnlyMany", service="kube-state-metrics"}'
    values: '1 1 1 1'
  alert_rule_test:
  - eval_time: 1m
    alertname: KubePersistentVolumeFillingUp
  - eval_time: 2m
    alertname: KubePersistentVolumeFillingUp
  - eval_time: 3m
    alertname: KubePersistentVolumeFillingUp
  - eval_time: 4m
    alertname: KubePersistentVolumeFillingUp

# Block volume mounts can report 0 for the kubelet_volume_stats_used_bytes metric but it shouldn't trigger the KubePersistentVolumeFillingUp alert.
# See https://github.com/kubernetes/kubernetes/commit/b997e0e4d6ccbead435a47d6ac75b0db3d17252f for details.
- interval: 1m
  input_series:
  - series: 'kubelet_volume_stats_available_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024 512 64 16'
  - series: 'kubelet_volume_stats_capacity_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024 1024 1024 1024'
  - series: 'kubelet_volume_stats_used_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '0 0 0 0'
  alert_rule_test:
  - eval_time: 1m
    alertname: KubePersistentVolumeFillingUp
  - eval_time: 2m
    alertname: KubePersistentVolumeFillingUp
  - eval_time: 3m
    alertname: KubePersistentVolumeFillingUp
  - eval_time: 4m
    alertname: KubePersistentVolumeFillingUp

  # Don't alert when PVC has been labelled as fully utilised
- interval: 1m
  input_series:
    - series: 'kubelet_volume_stats_available_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
      values: '1024 512 64 16'
    - series: 'kubelet_volume_stats_capacity_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
      values: '1024 1024 1024 1024'
    - series: 'kubelet_volume_stats_used_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
      values: '16 64 512 1024'
    - series: 'kube_persistentvolumeclaim_access_mode{job="ksm",namespace="monitoring",persistentvolumeclaim="somepvc", access_mode="ReadWriteOnce", service="kube-state-metrics"}'
      values: '1 1 1 1'
    - series: 'kube_persistentvolumeclaim_labels{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc",label_excluded_from_alerts="true"}'
      values: '1 1 1 1'
  alert_rule_test:
    - eval_time: 1m
      alertname: KubePersistentVolumeFillingUp
    - eval_time: 2m
      alertname: KubePersistentVolumeFillingUp
    - eval_time: 3m
      alertname: KubePersistentVolumeFillingUp
    - eval_time: 4m
      alertname: KubePersistentVolumeFillingUp

- interval: 1m
  input_series:
  - series: 'kubelet_volume_stats_available_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024-10x61'
  - series: 'kubelet_volume_stats_capacity_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '32768+0x61'
  - series: 'kubelet_volume_stats_used_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024+10x61'
  alert_rule_test:
  - eval_time: 1h
    alertname: KubePersistentVolumeFillingUp
    exp_alerts:
    - exp_labels:
        job: kubelet
        namespace: monitoring
        persistentvolumeclaim: somepvc
        severity: critical
      exp_annotations:
        summary: "PersistentVolume is filling up."
        description: 'The PersistentVolume claimed by somepvc in Namespace monitoring is only 1.294% free.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumefillingup

- interval: 1m
  input_series:
  - series: 'kubelet_volume_stats_available_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024-10x61'
  - series: 'kubelet_volume_stats_capacity_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '32768+0x61'
  - series: 'kubelet_volume_stats_used_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024+10x61'
  - series: 'kube_persistentvolumeclaim_access_mode{job="ksm",namespace="monitoring",persistentvolumeclaim="somepvc", access_mode="ReadWriteOnce", service="kube-state-metrics"}'
    values: '1x61'
  alert_rule_test:
  - eval_time: 61m
    alertname: KubePersistentVolumeFillingUp
    exp_alerts:
    - exp_labels:
        job: kubelet
        namespace: monitoring
        persistentvolumeclaim: somepvc
        severity: warning
      exp_annotations:
        summary: "PersistentVolume is filling up."
        description: 'Based on recent sampling, the PersistentVolume claimed by somepvc in Namespace monitoring is expected to fill up within four days. Currently 1.263% is available.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumefillingup
    - exp_labels:
        job: kubelet
        namespace: monitoring
        persistentvolumeclaim: somepvc
        severity: critical
      exp_annotations:
        summary: "PersistentVolume is filling up."
        description: 'The PersistentVolume claimed by somepvc in Namespace monitoring is only 1.263% free.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumefillingup

# Block volume mounts can report 0 for the kubelet_volume_stats_used_bytes metric but it shouldn't trigger the KubePersistentVolumeFillingUp alert.
# See https://github.com/kubernetes/kubernetes/commit/b997e0e4d6ccbead435a47d6ac75b0db3d17252f for details.
- interval: 1m
  input_series:
  - series: 'kubelet_volume_stats_available_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024-10x61'
  - series: 'kubelet_volume_stats_capacity_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '32768+0x61'
  - series: 'kubelet_volume_stats_used_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '0x61'
  alert_rule_test:
  - eval_time: 61m
    alertname: KubePersistentVolumeFillingUp

# Don't alert when PVC access_mode is ReadOnlyMany
- interval: 1m
  input_series:
  - series: 'kubelet_volume_stats_available_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024-10x61'
  - series: 'kubelet_volume_stats_capacity_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '32768+0x61'
  - series: 'kubelet_volume_stats_used_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1x61'
  - series: 'kube_persistentvolumeclaim_access_mode{job="ksm",namespace="monitoring",persistentvolumeclaim="somepvc", access_mode="ReadOnlyMany", service="kube-state-metrics"}'
    values: '1x61'
  alert_rule_test:
  - eval_time: 61m
    alertname: KubePersistentVolumeFillingUp

- interval: 1m
  input_series:
    - series: 'kubelet_volume_stats_available_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
      values: '1024-10x61'
    - series: 'kubelet_volume_stats_capacity_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
      values: '32768+0x61'
    - series: 'kubelet_volume_stats_used_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
      values: '1024+10x61'
    - series: 'kube_persistentvolumeclaim_access_mode{job="ksm",namespace="monitoring",persistentvolumeclaim="somepvc", access_mode="ReadWriteOnce", service="kube-state-metrics"}'
      values: '1x61'
    - series: 'kube_persistentvolumeclaim_labels{job="ksm",namespace="monitoring",persistentvolumeclaim="somepvc",label_excluded_from_alerts="true"}'
      values: '1x61'
  alert_rule_test:
    - eval_time: 61m
      alertname: KubePersistentVolumeFillingUp

# PersistentVolume inodes
- interval: 1m
  input_series:
  - series: 'kubelet_volume_stats_inodes_free{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024 512 64 16'
  - series: 'kubelet_volume_stats_inodes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024 1024 1024 1024'
  - series: 'kubelet_volume_stats_inodes_used{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '16 64 512 1024'
  - series: 'kube_persistentvolumeclaim_access_mode{job="ksm",namespace="monitoring",persistentvolumeclaim="somepvc", access_mode="ReadWriteOnce", service="kube-state-metrics"}'
    values: '1 1 1 1'
  alert_rule_test:
  - eval_time: 1m
    alertname: KubePersistentVolumeInodesFillingUp
  - eval_time: 2m
    alertname: KubePersistentVolumeInodesFillingUp
  - eval_time: 3m
    alertname: KubePersistentVolumeInodesFillingUp
  - eval_time: 4m
    alertname: KubePersistentVolumeInodesFillingUp
    exp_alerts:
    - exp_labels:
        job: kubelet
        namespace: monitoring
        persistentvolumeclaim: somepvc
        severity: critical
      exp_annotations:
        summary: "PersistentVolumeInodes are filling up."
        description: 'The PersistentVolume claimed by somepvc in Namespace monitoring only has 1.562% free inodes.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumeinodesfillingup

# Don't alert when PVC access_mode is ReadOnlyMany
- interval: 1m
  input_series:
  - series: 'kubelet_volume_stats_inodes_free{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024 512 64 16'
  - series: 'kubelet_volume_stats_inodes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024 1024 1024 1024'
  - series: 'kubelet_volume_stats_inodes_used{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '16 64 512 1024'
  - series: 'kube_persistentvolumeclaim_access_mode{job="ksm",namespace="monitoring",persistentvolumeclaim="somepvc", access_mode="ReadOnlyMany", service="kube-state-metrics"}'
    values: '1 1 1 1'
  alert_rule_test:
  - eval_time: 1m
    alertname: KubePersistentVolumeInodesFillingUp
  - eval_time: 2m
    alertname: KubePersistentVolumeInodesFillingUp
  - eval_time: 3m
    alertname: KubePersistentVolumeInodesFillingUp
  - eval_time: 4m
    alertname: KubePersistentVolumeInodesFillingUp

# Block volume mounts can report 0 for the kubelet_volume_stats_inodes_used metric but it shouldn't trigger the KubePersistentVolumeInodesFillingUp alert.
# See https://github.com/kubernetes/kubernetes/commit/b997e0e4d6ccbead435a47d6ac75b0db3d17252f for details.
- interval: 1m
  input_series:
  - series: 'kubelet_volume_stats_inodes_free{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024 512 64 16'
  - series: 'kubelet_volume_stats_inodes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024 1024 1024 1024'
  - series: 'kubelet_volume_stats_inodes_used{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '0 0 0 0'
  alert_rule_test:
  - eval_time: 1m
    alertname: KubePersistentVolumeInodesFillingUp
  - eval_time: 2m
    alertname: KubePersistentVolumeInodesFillingUp
  - eval_time: 3m
    alertname: KubePersistentVolumeInodesFillingUp
  - eval_time: 4m
    alertname: KubePersistentVolumeInodesFillingUp

  # Don't alert when PVC has been labelled as fully utilised
- interval: 1m
  input_series:
    - series: 'kubelet_volume_stats_inodes_free{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
      values: '1024 512 64 16'
    - series: 'kubelet_volume_stats_inodes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
      values: '1024 1024 1024 1024'
    - series: 'kubelet_volume_stats_inodes_used{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
      values: '16 64 512 1024'
    - series: 'kube_persistentvolumeclaim_access_mode{job="ksm",namespace="monitoring",persistentvolumeclaim="somepvc", access_mode="ReadWriteOnce", service="kube-state-metrics"}'
      values: '1 1 1 1'
    - series: 'kube_persistentvolumeclaim_labels{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc",label_excluded_from_alerts="true"}'
      values: '1 1 1 1'
  alert_rule_test:
    - eval_time: 1m
      alertname: KubePersistentVolumeInodesFillingUp
    - eval_time: 2m
      alertname: KubePersistentVolumeInodesFillingUp
    - eval_time: 3m
      alertname: KubePersistentVolumeInodesFillingUp
    - eval_time: 4m
      alertname: KubePersistentVolumeInodesFillingUp

- interval: 1m
  input_series:
  - series: 'kubelet_volume_stats_inodes_free{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024-10x61'
  - series: 'kubelet_volume_stats_inodes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '32768+0x61'
  - series: 'kubelet_volume_stats_inodes_used{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024+10x61'
  alert_rule_test:
  - eval_time: 1h
    alertname: KubePersistentVolumeInodesFillingUp
    exp_alerts:
    - exp_labels:
        job: kubelet
        namespace: monitoring
        persistentvolumeclaim: somepvc
        severity: critical
      exp_annotations:
        summary: "PersistentVolumeInodes are filling up."
        description: 'The PersistentVolume claimed by somepvc in Namespace monitoring only has 1.294% free inodes.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumeinodesfillingup

- interval: 1m
  input_series:
  - series: 'kubelet_volume_stats_inodes_free{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024-10x61'
  - series: 'kubelet_volume_stats_inodes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '32768+0x61'
  - series: 'kubelet_volume_stats_inodes_used{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024+10x61'
  - series: 'kube_persistentvolumeclaim_access_mode{job="ksm",namespace="monitoring",persistentvolumeclaim="somepvc", access_mode="ReadWriteOnce", service="kube-state-metrics"}'
    values: '1x61'
  alert_rule_test:
  - eval_time: 61m
    alertname: KubePersistentVolumeInodesFillingUp
    exp_alerts:
    - exp_labels:
        job: kubelet
        namespace: monitoring
        persistentvolumeclaim: somepvc
        severity: warning
      exp_annotations:
        summary: "PersistentVolumeInodes are filling up."
        description: 'Based on recent sampling, the PersistentVolume claimed by somepvc in Namespace monitoring is expected to run out of inodes within four days. Currently 1.263% of its inodes are free.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumeinodesfillingup
    - exp_labels:
        job: kubelet
        namespace: monitoring
        persistentvolumeclaim: somepvc
        severity: critical
      exp_annotations:
        summary: "PersistentVolumeInodes are filling up."
        description: 'The PersistentVolume claimed by somepvc in Namespace monitoring only has 1.263% free inodes.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumeinodesfillingup

# Block volume mounts can report 0 for the kubelet_volume_stats_inodes_used metric but it shouldn't trigger the KubePersistentVolumeInodesFillingUp alert.
# See https://github.com/kubernetes/kubernetes/commit/b997e0e4d6ccbead435a47d6ac75b0db3d17252f for details.
- interval: 1m
  input_series:
  - series: 'kubelet_volume_stats_inodes_free{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024-10x61'
  - series: 'kubelet_volume_stats_inodes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '32768+0x61'
  - series: 'kubelet_volume_stats_inodes_used{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '0x61'
  alert_rule_test:
  - eval_time: 61m
    alertname: KubePersistentVolumeInodesFillingUp

# Don't alert when PVC access_mode is ReadOnlyMany
- interval: 1m
  input_series:
  - series: 'kubelet_volume_stats_inodes_free{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1024-10x61'
  - series: 'kubelet_volume_stats_inodes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '32768+0x61'
  - series: 'kubelet_volume_stats_used_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
    values: '1x61'
  - series: 'kube_persistentvolumeclaim_access_mode{job="ksm",namespace="monitoring",persistentvolumeclaim="somepvc", access_mode="ReadOnlyMany", service="kube-state-metrics"}'
    values: '1x61'
  alert_rule_test:
  - eval_time: 61m
    alertname: KubePersistentVolumeInodesFillingUp

- interval: 1m
  input_series:
    - series: 'kubelet_volume_stats_inodes_free{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
      values: '1024-10x61'
    - series: 'kubelet_volume_stats_capacity_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
      values: '32768+0x61'
    - series: 'kubelet_volume_stats_used_bytes{job="kubelet",namespace="monitoring",persistentvolumeclaim="somepvc"}'
      values: '1024+10x61'
    - series: 'kube_persistentvolumeclaim_access_mode{job="ksm",namespace="monitoring",persistentvolumeclaim="somepvc", access_mode="ReadWriteOnce", service="kube-state-metrics"}'
      values: '1x61'
    - series: 'kube_persistentvolumeclaim_labels{job="ksm",namespace="monitoring",persistentvolumeclaim="somepvc",label_excluded_from_alerts="true"}'
      values: '1x61'
  alert_rule_test:
    - eval_time: 61m
      alertname: KubePersistentVolumeInodesFillingUp

- interval: 1m
  input_series:
  - series: 'kube_node_status_capacity{resource="pods",instance="172.17.0.5:8443",node="minikube",job="kube-state-metrics", namespace="kube-system"}'
    values: '3+0x15'
  - series: 'kube_pod_info{endpoint="https-main",instance="172.17.0.5:8443",job="kube-state-metrics",namespace="kube-system",node="minikube",pod="pod-1",service="kube-state-metrics"}'
    values: '1+0x15'
  - series: 'kube_pod_status_phase{endpoint="https-main",instance="172.17.0.5:8443",job="kube-state-metrics",namespace="kube-system",phase="Running",pod="pod-1",service="kube-state-metrics"}'
    values: '1+0x15'
  - series: 'kube_pod_info{endpoint="https-main",instance="172.17.0.5:8443",job="kube-state-metrics",namespace="kube-system",node="minikube",pod="pod-2",service="kube-state-metrics"}'
    values: '1+0x15'
  - series: 'kube_pod_status_phase{endpoint="https-main",instance="172.17.0.5:8443",job="kube-state-metrics",namespace="kube-system",phase="Running",pod="pod-2",service="kube-state-metrics"}'
    values: '1+0x15'
  - series: 'kube_pod_info{endpoint="https-main",instance="172.17.0.5:8443",job="kube-state-metrics",namespace="kube-system",node="minikube",pod="pod-3",service="kube-state-metrics"}'
    values: '1+0x15'
  - series: 'kube_pod_status_phase{endpoint="https-main",instance="172.17.0.5:8443",job="kube-state-metrics",namespace="kube-system",phase="Running",pod="pod-3",service="kube-state-metrics"}'
    values: '1+0x15'
  alert_rule_test:
  - eval_time: 10m
    alertname: KubeletTooManyPods
  - eval_time: 15m
    alertname: KubeletTooManyPods
    exp_alerts:
    - exp_labels:
        node: minikube
        severity: info
      exp_annotations:
        summary: "Kubelet is running at capacity."
        description: "Kubelet 'minikube' is running at 100% of its Pod capacity."
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubelettoomanypods

- interval: 1m
  input_series:
  - series: 'kube_pod_container_resource_requests{resource="cpu",container="kube-apiserver-67",endpoint="https-main",instance="ksm-1",job="kube-state-metrics",namespace="kube-apiserver",node="node-1",pod="pod-1",service="ksm"}'
    values: '0.15+0x10'
  - series: 'kube_pod_container_resource_requests{resource="cpu",container="kube-apiserver-67",endpoint="https-main",instance="ksm-1",job="kube-state-metrics",namespace="kube-apiserver",node="node-1",pod="pod-2",service="ksm"}'
    values: '0.15+0x10'
  - series: 'kube_pod_container_resource_requests{resource="cpu",container="kube-apiserver-67",endpoint="https-main",instance="ksm-2",job="kube-state-metrics",namespace="kube-apiserver",node="node-1",pod="pod-1",service="ksm"}'
    values: '0.1+0x10'
  - series: 'kube_pod_container_resource_requests{resource="memory",container="kube-apiserver-67",endpoint="https-main",instance="ksm-1",job="kube-state-metrics",namespace="kube-apiserver",node="node-1",pod="pod-1",service="ksm"}'
    values: '1E9+0x10'
  - series: 'kube_pod_container_resource_requests{resource="memory",container="kube-apiserver-67",endpoint="https-main",instance="ksm-1",job="kube-state-metrics",namespace="kube-apiserver",node="node-1",pod="pod-2",service="ksm"}'
    values: '1E9+0x10'
  - series: 'kube_pod_container_resource_requests{resource="memory",container="kube-apiserver-67",endpoint="https-main",instance="ksm-2",job="kube-state-metrics",namespace="kube-apiserver",node="node-1",pod="pod-1",service="ksm"}'
    values: '0.5E9+0x10'
  # Duplicate kube_pod_status_phase timeseries for the same pod.
  - series: 'kube_pod_status_phase{endpoint="https-main",instance="ksm-1",job="kube-state-metrics",namespace="kube-apiserver",phase="Running",pod="pod-1",service="ksm"}'
    values: '1 stale'
  - series: 'kube_pod_status_phase{endpoint="https-main",instance="ksm-1",job="kube-state-metrics",namespace="kube-apiserver",phase="Pending",pod="pod-1",service="ksm"}'
    values: '1+0x10'
  - series: 'kube_pod_status_phase{endpoint="https-main",instance="ksm-1",job="kube-state-metrics",namespace="kube-apiserver",phase="Completed",pod="pod-2",service="ksm"}'
    values: '1+0x10'
  - series: 'kube_pod_status_phase{endpoint="https-main",instance="ksm-2",job="kube-state-metrics",namespace="kube-apiserver",phase="Running",pod="pod-1",service="ksm"}'
    values: '1+0x10'
  promql_expr_test:
  - eval_time: 0m
    expr: namespace_cpu:kube_pod_container_resource_requests:sum
    exp_samples:
    - value: 0.15
      labels: 'namespace_cpu:kube_pod_container_resource_requests:sum{namespace="kube-apiserver"}'
  - eval_time: 0m
    expr: namespace_memory:kube_pod_container_resource_requests:sum
    exp_samples:
    - value: 1.0e+9
      labels: 'namespace_memory:kube_pod_container_resource_requests:sum{namespace="kube-apiserver"}'
  - eval_time: 1m
    expr: namespace_cpu:kube_pod_container_resource_requests:sum
    exp_samples:
    - value: 0.15
      labels: 'namespace_cpu:kube_pod_container_resource_requests:sum{namespace="kube-apiserver"}'
  - eval_time: 1m
    expr: namespace_memory:kube_pod_container_resource_requests:sum
    exp_samples:
    - value: 1.0e+9
      labels: 'namespace_memory:kube_pod_container_resource_requests:sum{namespace="kube-apiserver"}'

- interval: 1m
  input_series:
  - series: 'kube_pod_container_resource_requests{resource="cpu",container="kube-apiserver-67",endpoint="https-main",instance="ksm-1",job="kube-state-metrics",namespace="kube-apiserver",node="node-1",pod="pod-1",service="ksm",cluster="test"}'
    values: '0.15+0x10'
  - series: 'kube_pod_container_resource_requests{resource="cpu",container="kube-apiserver-67",endpoint="https-main",instance="ksm-1",job="kube-state-metrics",namespace="kube-apiserver",node="node-1",pod="pod-2",service="ksm",cluster="test"}'
    values: '0.15+0x10'
  - series: 'kube_pod_container_resource_requests{resource="cpu",container="kube-apiserver-67",endpoint="https-main",instance="ksm-2",job="kube-state-metrics",namespace="kube-apiserver",node="node-1",pod="pod-1",service="ksm",cluster="test"}'
    values: '0.1+0x10'
  - series: 'kube_pod_container_resource_requests{resource="memory",container="kube-apiserver-67",endpoint="https-main",instance="ksm-1",job="kube-state-metrics",namespace="kube-apiserver",node="node-1",pod="pod-1",service="ksm",cluster="test"}'
    values: '1E9+0x10'
  - series: 'kube_pod_container_resource_requests{resource="memory",container="kube-apiserver-67",endpoint="https-main",instance="ksm-1",job="kube-state-metrics",namespace="kube-apiserver",node="node-1",pod="pod-2",service="ksm",cluster="test"}'
    values: '1E9+0x10'
  - series: 'kube_pod_container_resource_requests{resource="memory",container="kube-apiserver-67",endpoint="https-main",instance="ksm-2",job="kube-state-metrics",namespace="kube-apiserver",node="node-1",pod="pod-1",service="ksm",cluster="test"}'
    values: '0.5E9+0x10'
  # Duplicate kube_pod_status_phase timeseries for the same pod.
  - series: 'kube_pod_status_phase{endpoint="https-main",instance="ksm-1",job="kube-state-metrics",namespace="kube-apiserver",phase="Running",pod="pod-1",service="ksm",cluster="test"}'
    values: '1 stale'
  - series: 'kube_pod_status_phase{endpoint="https-main",instance="ksm-1",job="kube-state-metrics",namespace="kube-apiserver",phase="Pending",pod="pod-1",service="ksm",cluster="test"}'
    values: '1+0x10'
  - series: 'kube_pod_status_phase{endpoint="https-main",instance="ksm-1",job="kube-state-metrics",namespace="kube-apiserver",phase="Completed",pod="pod-2",service="ksm",cluster="test"}'
    values: '1+0x10'
  - series: 'kube_pod_status_phase{endpoint="https-main",instance="ksm-2",job="kube-state-metrics",namespace="kube-apiserver",phase="Running",pod="pod-1",service="ksm",cluster="test"}'
    values: '1+0x10'
  promql_expr_test:
  - eval_time: 0m
    expr: namespace_cpu:kube_pod_container_resource_requests:sum
    exp_samples:
    - value: 0.15
      labels: 'namespace_cpu:kube_pod_container_resource_requests:sum{namespace="kube-apiserver",cluster="test"}'
  - eval_time: 0m
    expr: namespace_memory:kube_pod_container_resource_requests:sum
    exp_samples:
    - value: 1.0e+9
      labels: 'namespace_memory:kube_pod_container_resource_requests:sum{namespace="kube-apiserver",cluster="test"}'
  - eval_time: 1m
    expr: namespace_cpu:kube_pod_container_resource_requests:sum
    exp_samples:
    - value: 0.15
      labels: 'namespace_cpu:kube_pod_container_resource_requests:sum{namespace="kube-apiserver",cluster="test"}'
  - eval_time: 1m
    expr: namespace_memory:kube_pod_container_resource_requests:sum
    exp_samples:
    - value: 1.0e+9
      labels: 'namespace_memory:kube_pod_container_resource_requests:sum{namespace="kube-apiserver",cluster="test"}'

- interval: 1m
  input_series:
  # Create a histogram where all of the last 10 samples are in the +Inf (> 10 seconds) bucket.
  - series: 'kubelet_pleg_relist_duration_seconds_bucket{job="kublet", le="0.005", instance="10.0.2.15:10250"}'
    values: '1+0x10'
  - series: 'kubelet_pleg_relist_duration_seconds_bucket{job="kublet", le="0.01", instance="10.0.2.15:10250"}'
    values: '1+0x10'
  - series: 'kubelet_pleg_relist_duration_seconds_bucket{job="kublet", le="0.025", instance="10.0.2.15:10250"}'
    values: '1+0x10'
  - series: 'kubelet_pleg_relist_duration_seconds_bucket{job="kublet", le="0.05", instance="10.0.2.15:10250"}'
    values: '1+0x10'
  - series: 'kubelet_pleg_relist_duration_seconds_bucket{job="kublet", le="0.1", instance="10.0.2.15:10250"}'
    values: '1+0x10'
  - series: 'kubelet_pleg_relist_duration_seconds_bucket{job="kublet", le="0.25", instance="10.0.2.15:10250"}'
    values: '1+0x10'
  - series: 'kubelet_pleg_relist_duration_seconds_bucket{job="kublet", le="0.5", instance="10.0.2.15:10250"}'
    values: '1+0x10'
  - series: 'kubelet_pleg_relist_duration_seconds_bucket{job="kublet", le="1", instance="10.0.2.15:10250"}'
    values: '1+0x10'
  - series: 'kubelet_pleg_relist_duration_seconds_bucket{job="kublet", le="2.5", instance="10.0.2.15:10250"}'
    values: '1+0x10'
  - series: 'kubelet_pleg_relist_duration_seconds_bucket{job="kublet", le="5", instance="10.0.2.15:10250"}'
    values: '1+0x10'
  - series: 'kubelet_pleg_relist_duration_seconds_bucket{job="kublet", le="10", instance="10.0.2.15:10250"}'
    values: '1+0x10'
  - series: 'kubelet_pleg_relist_duration_seconds_bucket{job="kublet", le="+Inf", instance="10.0.2.15:10250"}'
    values: '30+1x10'
  - series: 'kubelet_node_name{endpoint="https-metrics",instance="10.0.2.15:10250",job="kubelet",namespace="kube-system",node="minikube",service="kubelet"}'
    values: '1 1 1 1 1 1 1 1 1 1'
  alert_rule_test:
  - eval_time: 10m
    alertname: KubeletPlegDurationHigh
    exp_alerts:
    - exp_labels:
        instance: 10.0.2.15:10250
        node: minikube
        quantile: 0.99
        severity: warning
      exp_annotations:
        summary: "Kubelet Pod Lifecycle Event Generator is taking too long to relist."
        description: 'The Kubelet Pod Lifecycle Event Generator has a 99th percentile duration of 10 seconds on node minikube.'
        runbook_url: 'https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeletplegdurationhigh'

- interval: 1m
  input_series:
  - series: 'kube_node_status_condition{condition="Ready",endpoint="https-main",instance="10.0.2.15:10250",job="kube-state-metrics",namespace="monitoring",node="minikube",pod="kube-state-metrics-b894d84cc-d6htw",service="kube-state-metrics",status="true"}'
    values: '1 0 1 0 1 0 0 0 1 0 1 0 0 0 1 0 1 0 0 1'
  alert_rule_test:
  - eval_time: 18m
    alertname: KubeNodeReadinessFlapping
    exp_alerts:
    - exp_labels:
        node: minikube
        severity: warning
      exp_annotations:
        summary: "Node readiness status is flapping."
        description: 'The readiness status of node minikube has changed 10 times in the last 15 minutes.'
        runbook_url: 'https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubenodereadinessflapping'

# Verify that node:node_num_cpu:sum triggers no many-to-many errors.
- interval: 1m
  input_series:
  - series: 'node_cpu_seconds_total{cpu="0",endpoint="https",instance="instance1",job="node-exporter",mode="idle",namespace="openshift-monitoring",pod="node-exporter-1",service="node-exporter"}'
    values: '1 1'
  - series: 'node_cpu_seconds_total{cpu="1",endpoint="https",instance="instance1",job="node-exporter",mode="idle",namespace="openshift-monitoring",pod="node-exporter-1",service="node-exporter"}'
    values: '1 1'
  - series: 'kube_pod_info{namespace="openshift-monitoring",node="node-1",pod="node-exporter-1",job="kube-state-metrics",instance="10.129.2.7:8443"}'
    values: '1 1'
  - series: 'kube_pod_info{namespace="openshift-monitoring",node="node-1",pod="alertmanager-0",job="kube-state-metrics",instance="10.129.2.7:8443"}'
    values: '1 stale'
  - series: 'kube_pod_info{namespace="openshift-monitoring",node="node-2",pod="alertmanager-0",job="kube-state-metrics",instance="10.129.2.7:8443"}'
    values: '1 1'
  promql_expr_test:
  - eval_time: 0m
    expr: node:node_num_cpu:sum
    exp_samples:
    - value: 2
      labels: 'node:node_num_cpu:sum{node="node-1"}'
  - eval_time: 1m
    expr: node:node_num_cpu:sum
    exp_samples:
    - value: 2
      labels: 'node:node_num_cpu:sum{node="node-1"}'

# Verify that node:node_num_cpu:sum doesn't trigger many-to-many errors when
# node_namespace_pod:kube_pod_info: has duplicate entries for the same
# (namespace,pod) tuple. This can happen when Prometheus is restarted because
# it didn't add stale markers to the "old" series on shutdown.
- interval: 1m
  input_series:
  - series: 'node_cpu_seconds_total{cpu="0",endpoint="https",instance="instance1",job="node-exporter",mode="idle",namespace="openshift-monitoring",pod="node-exporter-1",service="node-exporter"}'
    values: '1 1'
  - series: 'node_cpu_seconds_total{cpu="0",endpoint="https",instance="instance2",job="node-exporter",mode="idle",namespace="openshift-monitoring",pod="node-exporter-2",service="node-exporter"}'
    values: '1 1'
  - series: 'node_namespace_pod:kube_pod_info:{node="node-1",namespace="openshift-monitoring",pod="node-exporter-1"}'
    values: '1 1'
  - series: 'node_namespace_pod:kube_pod_info:{node="node-2",namespace="openshift-monitoring",pod="node-exporter-2"}'
    values: '1 1'
  # series for the "old" prometheus instance.
  - series: 'node_namespace_pod:kube_pod_info:{node="node-1",namespace="openshift-monitoring",pod="prometheus-0"}'
    values: '1'
  # series for the "new" prometheus instance.
  - series: 'node_namespace_pod:kube_pod_info:{node="node-2",namespace="openshift-monitoring",pod="prometheus-0"}'
    values: 'stale 1'
  promql_expr_test:
  - eval_time: 0m
    expr: node:node_num_cpu:sum
    exp_samples:
    - value: 1
      labels: 'node:node_num_cpu:sum{node="node-1"}'
    - value: 1
      labels: 'node:node_num_cpu:sum{node="node-2"}'
  - eval_time: 1m
    expr: node:node_num_cpu:sum
    exp_samples:
    - value: 1
      labels: 'node:node_num_cpu:sum{node="node-1"}'
    - value: 1
      labels: 'node:node_num_cpu:sum{node="node-2"}'


- interval: 1m
  input_series:
  - series: 'kube_pod_owner{endpoint="https",instance="instance1",job="kube-state-metrics",namespace="ns1",owner_is_controller="true",owner_kind="ReplicaSet",owner_name="ds-7cc77d965f",pod="ds-7cc77d965f-cgsdv",service="ksm"}'
    values: '1 1'
  - series: 'kube_pod_owner{endpoint="https",instance="instance2",job="kube-state-metrics",namespace="ns1",owner_is_controller="true",owner_kind="ReplicaSet",owner_name="ds-7cc77d965f",pod="ds-7cc77d965f-cgsdv",service="ksm"}'
    values: '1 stale'
  - series: 'kube_replicaset_owner{endpoint="https",instance="instance1",job="kube-state-metrics",namespace="ns1",owner_is_controller="true",owner_kind="Deployment",owner_name="ds",pod="ds-777f6bf798-kq7tj",replicaset="ds-7cc77d965f",service="ksm"}'
    values: '1 1'
  - series: 'kube_replicaset_owner{endpoint="https",instance="instance2",job="kube-state-metrics",namespace="ns1",owner_is_controller="true",owner_kind="Deployment",owner_name="ds",pod="ds-777f6bf798-kq7tj",replicaset="ds-7cc77d965f",service="ksm"}'
    values: '1 stale'
  promql_expr_test:
  - eval_time: 0m
    expr: namespace_workload_pod:kube_pod_owner:relabel
    exp_samples:
    - value: 1
      labels: 'namespace_workload_pod:kube_pod_owner:relabel{namespace="ns1", pod="ds-7cc77d965f-cgsdv", workload="ds", workload_type="deployment"}'
  - eval_time: 1m
    expr: namespace_workload_pod:kube_pod_owner:relabel
    exp_samples:
    - value: 1
      labels: 'namespace_workload_pod:kube_pod_owner:relabel{namespace="ns1", pod="ds-7cc77d965f-cgsdv", workload="ds", workload_type="deployment"}'

- interval: 1m
  input_series:
  - series: 'kube_pod_status_phase{endpoint="https",instance="instance1",job="kube-state-metrics",namespace="ns1",phase="Pending",pod="pod-ds-7cc77d965f-cgsdv",service="ksm"}'
    values: '1+0x20'
  - series: 'kube_pod_owner{endpoint="https",instance="instance1",job="kube-state-metrics",namespace="ns1",owner_is_controller="false",owner_kind="<None>",owner_name="ds-7cc77d965f",pod="pod-ds-7cc77d965f-cgsdv",service="ksm"}'
    values: '1+0x20'
  - series: 'kube_pod_owner{endpoint="https",instance="instance1",job="kube-state-metrics",namespace="ns1",owner_is_controller="true",owner_kind="ReplicaSet",owner_name="ds-7cc77d965f",pod="pod-ds-7cc77d965f-cgsdv",service="ksm"}'
    values: '1+0x20'
  alert_rule_test:
  - eval_time: 15m
    alertname: KubePodNotReady
    exp_alerts:
    - exp_labels:
        namespace: ns1
        pod: pod-ds-7cc77d965f-cgsdv
        severity: warning
      exp_annotations:
        summary: "Pod has been in a non-ready state for more than 15 minutes."
        description: "Pod ns1/pod-ds-7cc77d965f-cgsdv has been in a non-ready state for longer than 15 minutes."
        runbook_url: "https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepodnotready"

- interval: 1m
  input_series:
  - series: 'container_cpu_usage_seconds_total{container="alertmanager",cpu="total",endpoint="https",id="/kubepods.slice/kubepods-burstable.slice/kubepods-burstable-pod3426a9c5_53d6_4736_9ca8_f575828e3e4b.slice/crio-f0d7fb2c909605aad16946ff065a42b25cdcdb812459e712ecdd6bce8a3ed6cb.scope",image="quay.io/prometheus/alertmanager:latest",instance="instance1",job="cadvisor",name="name1",namespace="monitoring",pod="alertmanager-main-0",service="kubelet"}'
    values: '0+3x5'
  - series: 'container_cpu_usage_seconds_total{container="alertmanager",cpu="total",endpoint="https",id="/kubepods.slice/kubepods-burstable.slice/kubepods-burstable-pod3426a9c5_53d6_4736_9ca8_f575828e3e4b.slice/crio-f0d7fb2c909605aad16946ff065a42b25cdcdb812459e712ecdd6bce8a3ed6cb.scope",image="quay.io/prometheus/alertmanager:latest",instance="instance1",job="cadvisor",name="name1",namespace="monitoring",pod="alertmanager-main-1",service="kubelet"}'
    values: '0+3x5'
  # Duplicate timeseries from different instances.
  - series: 'kube_pod_info{namespace="monitoring",node="node1",pod="alertmanager-main-0",job="kube-state-metrics",instance="instance1"}'
    values: '1+0x5'
  - series: 'kube_pod_info{namespace="monitoring",node="node1",pod="alertmanager-main-0",job="kube-state-metrics",instance="instance2"}'
    values: '1+0x5'
  # Missing node label.
  - series: 'kube_pod_info{namespace="monitoring",pod="alertmanager-main-1",job="kube-state-metrics",instance="instance1"}'
    values: '1+0x5'
  promql_expr_test:
  - eval_time: 5m
    expr: node_namespace_pod_container:container_cpu_usage_seconds_total:sum_irate
    exp_samples:
    - value: 5.0e-2
      labels: 'node_namespace_pod_container:container_cpu_usage_seconds_total:sum_irate{namespace="monitoring", pod="alertmanager-main-0", container="alertmanager", node="node1"}'

- interval: 1m
  input_series:
  - series: 'container_memory_working_set_bytes{container="alertmanager",endpoint="https",id="/kubepods.slice/kubepods-burstable.slice/kubepods-burstable-pod3426a9c5_53d6_4736_9ca8_f575828e3e4b.slice/crio-f0d7fb2c909605aad16946ff065a42b25cdcdb812459e712ecdd6bce8a3ed6cb.scope",image="quay.io/prometheus/alertmanager:latest",instance="instance1",job="cadvisor",name="name1",namespace="monitoring",pod="alertmanager-main-0",service="kubelet"}'
    values: '1000+0x5'
  - series: 'container_memory_working_set_bytes{container="alertmanager",endpoint="https",id="/kubepods.slice/kubepods-burstable.slice/kubepods-burstable-pod3426a9c5_53d6_4736_9ca8_f575828e3e4b.slice/crio-f0d7fb2c909605aad16946ff065a42b25cdcdb812459e712ecdd6bce8a3ed6cb.scope",image="quay.io/prometheus/alertmanager:latest",instance="instance1",job="cadvisor",name="name1",namespace="monitoring",pod="alertmanager-main-1",service="kubelet"}'
    values: '1000+0x5'
  # Duplicate timeseries from different instances.
  - series: 'kube_pod_info{namespace="monitoring",node="node1",pod="alertmanager-main-0",job="kube-state-metrics",instance="instance1"}'
    values: '1+0x5'
  - series: 'kube_pod_info{namespace="monitoring",node="node1",pod="alertmanager-main-0",job="kube-state-metrics",instance="instance2"}'
    values: '1+0x5'
  # Missing node label.
  - series: 'kube_pod_info{namespace="monitoring",pod="alertmanager-main-1",job="kube-state-metrics",instance="instance1"}'
    values: '1+0x5'
  promql_expr_test:
  - eval_time: 5m
    expr: node_namespace_pod_container:container_memory_working_set_bytes
    exp_samples:
    - value: 1.0e+3
      labels: 'node_namespace_pod_container:container_memory_working_set_bytes{container="alertmanager",endpoint="https",id="/kubepods.slice/kubepods-burstable.slice/kubepods-burstable-pod3426a9c5_53d6_4736_9ca8_f575828e3e4b.slice/crio-f0d7fb2c909605aad16946ff065a42b25cdcdb812459e712ecdd6bce8a3ed6cb.scope",image="quay.io/prometheus/alertmanager:latest",instance="instance1",job="cadvisor",name="name1",namespace="monitoring",node="node1",pod="alertmanager-main-0",service="kubelet"}'

- interval: 1m
  input_series:
  - series: 'container_memory_rss{container="alertmanager",endpoint="https",id="/kubepods.slice/kubepods-burstable.slice/kubepods-burstable-pod3426a9c5_53d6_4736_9ca8_f575828e3e4b.slice/crio-f0d7fb2c909605aad16946ff065a42b25cdcdb812459e712ecdd6bce8a3ed6cb.scope",image="quay.io/prometheus/alertmanager:latest",instance="instance1",job="cadvisor",name="name1",namespace="monitoring",pod="alertmanager-main-0",service="kubelet"}'
    values: '1000+0x5'
  - series: 'container_memory_rss{container="alertmanager",endpoint="https",id="/kubepods.slice/kubepods-burstable.slice/kubepods-burstable-pod3426a9c5_53d6_4736_9ca8_f575828e3e4b.slice/crio-f0d7fb2c909605aad16946ff065a42b25cdcdb812459e712ecdd6bce8a3ed6cb.scope",image="quay.io/prometheus/alertmanager:latest",instance="instance1",job="cadvisor",name="name1",namespace="monitoring",pod="alertmanager-main-1",service="kubelet"}'
    values: '1000+0x5'
  # Duplicate timeseries from different instances.
  - series: 'kube_pod_info{namespace="monitoring",node="node1",pod="alertmanager-main-0",job="kube-state-metrics",instance="instance1"}'
    values: '1+0x5'
  - series: 'kube_pod_info{namespace="monitoring",node="node1",pod="alertmanager-main-0",job="kube-state-metrics",instance="instance2"}'
    values: '1+0x5'
  # Missing node label.
  - series: 'kube_pod_info{namespace="monitoring",pod="alertmanager-main-1",job="kube-state-metrics",instance="instance1"}'
    values: '1+0x5'
  promql_expr_test:
  - eval_time: 5m
    expr: node_namespace_pod_container:container_memory_rss
    exp_samples:
    - value: 1.0e+3
      labels: 'node_namespace_pod_container:container_memory_rss{container="alertmanager",endpoint="https",id="/kubepods.slice/kubepods-burstable.slice/kubepods-burstable-pod3426a9c5_53d6_4736_9ca8_f575828e3e4b.slice/crio-f0d7fb2c909605aad16946ff065a42b25cdcdb812459e712ecdd6bce8a3ed6cb.scope",image="quay.io/prometheus/alertmanager:latest",instance="instance1",job="cadvisor",name="name1",namespace="monitoring",node="node1",pod="alertmanager-main-0",service="kubelet"}'

- interval: 1m
  input_series:
  - series: 'container_memory_cache{container="alertmanager",endpoint="https",id="/kubepods.slice/kubepods-burstable.slice/kubepods-burstable-pod3426a9c5_53d6_4736_9ca8_f575828e3e4b.slice/crio-f0d7fb2c909605aad16946ff065a42b25cdcdb812459e712ecdd6bce8a3ed6cb.scope",image="quay.io/prometheus/alertmanager:latest",instance="instance1",job="cadvisor",name="name1",namespace="monitoring",pod="alertmanager-main-0",service="kubelet"}'
    values: '1000+0x5'
  - series: 'container_memory_cache{container="alertmanager",endpoint="https",id="/kubepods.slice/kubepods-burstable.slice/kubepods-burstable-pod3426a9c5_53d6_4736_9ca8_f575828e3e4b.slice/crio-f0d7fb2c909605aad16946ff065a42b25cdcdb812459e712ecdd6bce8a3ed6cb.scope",image="quay.io/prometheus/alertmanager:latest",instance="instance1",job="cadvisor",name="name1",namespace="monitoring",pod="alertmanager-main-1",service="kubelet"}'
    values: '1000+0x5'
  # Duplicate timeseries from different instances.
  - series: 'kube_pod_info{namespace="monitoring",node="node1",pod="alertmanager-main-0",job="kube-state-metrics",instance="instance1"}'
    values: '1+0x5'
  - series: 'kube_pod_info{namespace="monitoring",node="node1",pod="alertmanager-main-0",job="kube-state-metrics",instance="instance2"}'
    values: '1+0x5'
  # Missing node label.
  - series: 'kube_pod_info{namespace="monitoring",pod="alertmanager-main-1",job="kube-state-metrics",instance="instance1"}'
    values: '1+0x5'
  promql_expr_test:
  - eval_time: 5m
    expr: node_namespace_pod_container:container_memory_cache
    exp_samples:
    - value: 1.0e+3
      labels: 'node_namespace_pod_container:container_memory_cache{container="alertmanager",endpoint="https",id="/kubepods.slice/kubepods-burstable.slice/kubepods-burstable-pod3426a9c5_53d6_4736_9ca8_f575828e3e4b.slice/crio-f0d7fb2c909605aad16946ff065a42b25cdcdb812459e712ecdd6bce8a3ed6cb.scope",image="quay.io/prometheus/alertmanager:latest",instance="instance1",job="cadvisor",name="name1",namespace="monitoring",node="node1",pod="alertmanager-main-0",service="kubelet"}'

- interval: 1m
  input_series:
  - series: 'container_memory_swap{container="alertmanager",endpoint="https",id="/kubepods.slice/kubepods-burstable.slice/kubepods-burstable-pod3426a9c5_53d6_4736_9ca8_f575828e3e4b.slice/crio-f0d7fb2c909605aad16946ff065a42b25cdcdb812459e712ecdd6bce8a3ed6cb.scope",image="quay.io/prometheus/alertmanager:latest",instance="instance1",job="cadvisor",name="name1",namespace="monitoring",pod="alertmanager-main-0",service="kubelet"}'
    values: '1000+0x5'
  - series: 'container_memory_swap{container="alertmanager",endpoint="https",id="/kubepods.slice/kubepods-burstable.slice/kubepods-burstable-pod3426a9c5_53d6_4736_9ca8_f575828e3e4b.slice/crio-f0d7fb2c909605aad16946ff065a42b25cdcdb812459e712ecdd6bce8a3ed6cb.scope",image="quay.io/prometheus/alertmanager:latest",instance="instance1",job="cadvisor",name="name1",namespace="monitoring",pod="alertmanager-main-1",service="kubelet"}'
    values: '1000+0x5'
  # Duplicate timeseries from different instances.
  - series: 'kube_pod_info{namespace="monitoring",node="node1",pod="alertmanager-main-0",job="kube-state-metrics",instance="instance1"}'
    values: '1+0x5'
  - series: 'kube_pod_info{namespace="monitoring",node="node1",pod="alertmanager-main-0",job="kube-state-metrics",instance="instance2"}'
    values: '1+0x5'
  # Missing node label.
  - series: 'kube_pod_info{namespace="monitoring",pod="alertmanager-main-1",job="kube-state-metrics",instance="instance1"}'
    values: '1+0x5'
  promql_expr_test:
  - eval_time: 5m
    expr: node_namespace_pod_container:container_memory_swap
    exp_samples:
    - value: 1.0e+3
      labels: 'node_namespace_pod_container:container_memory_swap{container="alertmanager",endpoint="https",id="/kubepods.slice/kubepods-burstable.slice/kubepods-burstable-pod3426a9c5_53d6_4736_9ca8_f575828e3e4b.slice/crio-f0d7fb2c909605aad16946ff065a42b25cdcdb812459e712ecdd6bce8a3ed6cb.scope",image="quay.io/prometheus/alertmanager:latest",instance="instance1",job="cadvisor",name="name1",namespace="monitoring",node="node1",pod="alertmanager-main-0",service="kubelet"}'
- interval: 1m
  # Current unequal desired and not progressing.
  input_series:
  - series: 'kube_daemonset_status_current_number_scheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 4 4 3 4 4 4 3 4 4 4 3 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4'
  - series: 'kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4'
  - series: 'kube_daemonset_status_number_misscheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0'
  - series: 'kube_daemonset_status_updated_number_scheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 0 0 0 1 1 1 1 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4'
  - series: 'kube_daemonset_status_number_available{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 4 3 3 3 4 3 3 3 4 3 3 3 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4'
  alert_rule_test:
  - eval_time: 32m
    alertname: KubeDaemonSetRolloutStuck
  - eval_time: 33m
    alertname: KubeDaemonSetRolloutStuck
    exp_alerts:
    - exp_labels:
        job: kube-state-metrics
        namespace: monitoring
        daemonset: node-exporter
        severity: warning
      exp_annotations:
        summary: "DaemonSet rollout is stuck."
        description: 'DaemonSet monitoring/node-exporter has not finished or progressed for at least 15 minutes.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedaemonsetrolloutstuck
  - eval_time: 34m
    alertname: KubeDaemonSetRolloutStuck
- interval: 1m
  # Misscheduled is non zero.
  input_series:
  - series: 'kube_daemonset_status_current_number_scheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 4 4 3 4 4 4 3 4 4 4 3 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4'
  - series: 'kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4'
  - series: 'kube_daemonset_status_number_misscheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0'
  - series: 'kube_daemonset_status_updated_number_scheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 0 0 0 1 1 1 1 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4'
  - series: 'kube_daemonset_status_number_available{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 4 3 3 3 4 3 3 3 4 3 3 3 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4'
  alert_rule_test:
  - eval_time: 32m
    alertname: KubeDaemonSetRolloutStuck
  - eval_time: 33m
    alertname: KubeDaemonSetRolloutStuck
    exp_alerts:
    - exp_labels:
        job: kube-state-metrics
        namespace: monitoring
        daemonset: node-exporter
        severity: warning
      exp_annotations:
        summary: "DaemonSet rollout is stuck."
        description: 'DaemonSet monitoring/node-exporter has not finished or progressed for at least 15 minutes.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedaemonsetrolloutstuck
  - eval_time: 34m
    alertname: KubeDaemonSetRolloutStuck
- interval: 1m
  # Updated number unequal desired.
  input_series:
  - series: 'kube_daemonset_status_current_number_scheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 4 4 3 4 4 4 3 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4'
  - series: 'kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4'
  - series: 'kube_daemonset_status_number_misscheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0'
  - series: 'kube_daemonset_status_updated_number_scheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 0 0 0 1 1 1 1 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4'
  - series: 'kube_daemonset_status_number_available{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 4 3 3 3 4 3 3 3 4 3 3 3 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4'
  alert_rule_test:
  - eval_time: 32m
    alertname: KubeDaemonSetRolloutStuck
  - eval_time: 33m
    alertname: KubeDaemonSetRolloutStuck
    exp_alerts:
    - exp_labels:
        job: kube-state-metrics
        namespace: monitoring
        daemonset: node-exporter
        severity: warning
      exp_annotations:
        summary: "DaemonSet rollout is stuck."
        description: 'DaemonSet monitoring/node-exporter has not finished or progressed for at least 15 minutes.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedaemonsetrolloutstuck
  - eval_time: 34m
    alertname: KubeDaemonSetRolloutStuck
- interval: 1m
  # Number available unequal desired.
  input_series:
  - series: 'kube_daemonset_status_current_number_scheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 4 4 3 4 4 4 3 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4'
  - series: 'kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4'
  - series: 'kube_daemonset_status_number_misscheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0'
  - series: 'kube_daemonset_status_updated_number_scheduled{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 0 0 0 1 1 1 1 2 2 2 2 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4'
  - series: 'kube_daemonset_status_number_available{job="kube-state-metrics",namespace="monitoring",daemonset="node-exporter"}'
    values: '4 4 4 3 3 3 4 3 3 3 4 3 3 3 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4'
  alert_rule_test:
  - eval_time: 34m
    alertname: KubeDaemonSetRolloutStuck
  - eval_time: 35m
    alertname: KubeDaemonSetRolloutStuck
    exp_alerts:
    - exp_labels:
        job: kube-state-metrics
        namespace: monitoring
        daemonset: node-exporter
        severity: warning
      exp_annotations:
        summary: "DaemonSet rollout is stuck."
        description: 'DaemonSet monitoring/node-exporter has not finished or progressed for at least 15 minutes.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedaemonsetrolloutstuck
  - eval_time: 36m
    alertname: KubeDaemonSetRolloutStuck

- interval: 1m
  input_series:
  - series: 'kubelet_certificate_manager_client_ttl_seconds{job="kubelet",namespace="monitoring",node="minikube"}'
    values: '86400-60x1'
  alert_rule_test:
  - eval_time: 0m
    alertname: KubeletClientCertificateExpiration
    exp_alerts:
    - exp_labels:
        job: kubelet
        namespace: monitoring
        node: minikube
        severity: warning
      exp_annotations:
        summary: "Kubelet client certificate is about to expire."
        description: 'Client certificate for Kubelet on node minikube expires in 1d 0h 0m 0s.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeletclientcertificateexpiration
  - eval_time: 1m
    alertname: KubeletClientCertificateExpiration
    exp_alerts:
    - exp_labels:
        job: kubelet
        namespace: monitoring
        node: minikube
        severity: warning
      exp_annotations:
        summary: "Kubelet client certificate is about to expire."
        description: 'Client certificate for Kubelet on node minikube expires in 23h 59m 0s.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeletclientcertificateexpiration
    - exp_labels:
        job: kubelet
        namespace: monitoring
        node: minikube
        severity: critical
      exp_annotations:
        summary: "Kubelet client certificate is about to expire."
        description: 'Client certificate for Kubelet on node minikube expires in 23h 59m 0s.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeletclientcertificateexpiration

- interval: 1m
  input_series:
  - series: 'kubelet_certificate_manager_server_ttl_seconds{job="kubelet",namespace="monitoring",node="minikube"}'
    values: '86400-60x1'
  alert_rule_test:
  - eval_time: 0m
    alertname: KubeletServerCertificateExpiration
    exp_alerts:
    - exp_labels:
        job: kubelet
        namespace: monitoring
        node: minikube
        severity: warning
      exp_annotations:
        summary: "Kubelet server certificate is about to expire."
        description: 'Server certificate for Kubelet on node minikube expires in 1d 0h 0m 0s.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeletservercertificateexpiration
  - eval_time: 1m
    alertname: KubeletServerCertificateExpiration
    exp_alerts:
    - exp_labels:
        job: kubelet
        namespace: monitoring
        node: minikube
        severity: warning
      exp_annotations:
        summary: "Kubelet server certificate is about to expire."
        description: 'Server certificate for Kubelet on node minikube expires in 23h 59m 0s.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeletservercertificateexpiration
    - exp_labels:
        job: kubelet
        namespace: monitoring
        node: minikube
        severity: critical
      exp_annotations:
        summary: "Kubelet server certificate is about to expire."
        description: 'Server certificate for Kubelet on node minikube expires in 23h 59m 0s.'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeletservercertificateexpiration

- interval: 1m
  input_series:
  - series: 'kubelet_certificate_manager_client_expiration_renew_errors{job="kubelet",namespace="monitoring",node="minikube"}'
    values: '0+1x20'
  alert_rule_test:
  - eval_time: 16m
    alertname: KubeletClientCertificateRenewalErrors
    exp_alerts:
    - exp_labels:
        job: kubelet
        namespace: monitoring
        node: minikube
        severity: warning
      exp_annotations:
        summary: "Kubelet has failed to renew its client certificate."
        description: 'Kubelet on node minikube has failed to renew its client certificate (5 errors in the last 5 minutes).'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeletclientcertificaterenewalerrors


- interval: 1m
  input_series:
  - series: 'kubelet_server_expiration_renew_errors{job="kubelet",namespace="monitoring",node="minikube"}'
    values: '0+1x20'
  alert_rule_test:
  - eval_time: 16m
    alertname: KubeletServerCertificateRenewalErrors
    exp_alerts:
    - exp_labels:
        job: kubelet
        namespace: monitoring
        node: minikube
        severity: warning
      exp_annotations:
        summary: "Kubelet has failed to renew its server certificate."
        description: 'Kubelet on node minikube has failed to renew its server certificate (5 errors in the last 5 minutes).'
        runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeletservercertificaterenewalerrors

- interval: 1m
  input_series:
  - series: 'kube_job_failed{instance="instance1",condition="true",job="kube-state-metrics",job_name="job-1597623120",namespace="ns1"}'
    values: '1+0x20'
  alert_rule_test:
  - eval_time: 15m
    alertname: KubeJobFailed
    exp_alerts:
    - exp_labels:
        namespace: ns1
        job_name: job-1597623120
        severity: warning
        condition: true
        instance: instance1
        job: kube-state-metrics
      exp_annotations:
        summary: "Job failed to complete."
        description: "Job ns1/job-1597623120 failed to complete. Removing failed job after investigation should clear this alert."
        runbook_url: "https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubejobfailed"

- interval: 1m
  input_series:
  - series: 'kube_job_status_start_time{namespace="ns1", job="kube-state-metrics", instance="instance1", job_name="job1"}'
    values: '0+0x200 _x500 0+0x40'
  - series: 'kube_job_status_active{namespace="ns1", job="kube-state-metrics", instance="instance1", job_name="job1"}'
    values: '1x200 _x500 1x40'
  alert_rule_test:
  - eval_time: 6h
    alertname: KubeJobNotCompleted
  - eval_time: 12h1m
    alertname: KubeJobNotCompleted
    exp_alerts:
    - exp_labels:
        namespace: ns1
        job_name: job1
        severity: warning
      exp_annotations:
        summary: "Job did not complete in time"
        description: "Job ns1/job1 is taking more than 12h 0m 0s to complete."
        runbook_url: "https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubejobnotcompleted"

- interval: 1m
  input_series:
  - series: 'kube_job_status_start_time{namespace="ns1", job="kube-state-metrics", instance="instance1", job_name="job1"}'
    values: '0+0x740'
  - series: 'kube_job_status_active{namespace="ns1", job="kube-state-metrics", instance="instance1", job_name="job1"}'
    values: '1+0x710 0x30'
  alert_rule_test:
  - eval_time: 6h
    alertname: KubeJobNotCompleted
  - eval_time: 12h
    alertname: KubeJobNotCompleted

- interval: 1m
  input_series:
  - series: 'apiserver_request_terminations_total{job="kube-apiserver",apiserver="kube-apiserver"}'
    values: '1+1x10'
  - series: 'apiserver_request_total{job="kube-apiserver",apiserver="kube-apiserver"}'
    values: '1+2x10'
  alert_rule_test:
  - eval_time: 5m    # alert hasn't fired
    alertname: KubeAPITerminatedRequests
  - eval_time: 10m   # alert fired
    alertname: KubeAPITerminatedRequests
    exp_alerts:
    - exp_labels:
        severity: warning
      exp_annotations:
        summary: "The kubernetes apiserver has terminated 33.33% of its incoming requests."
        description: "The kubernetes apiserver has terminated 33.33% of its incoming requests."
        runbook_url: "https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapiterminatedrequests"

- interval: 1m
  input_series:
  - series: 'kube_pod_container_status_waiting_reason{reason="CrashLoopBackOff",namespace="test",pod="static-web",container="script",job="kube-state-metrics"}'
    values: '1 1 stale _x3 1 1 stale _x2 1+0x4 stale'
  alert_rule_test:
  - eval_time: 10m    # alert hasn't fired
    alertname: KubePodCrashLooping
  - eval_time: 16m   # alert fired
    alertname: KubePodCrashLooping
    exp_alerts:
    - exp_labels:
        severity: "warning"
        container: "script"
        job: "kube-state-metrics"
        namespace: "test"
        pod: "static-web"
        reason: "CrashLoopBackOff"
      exp_annotations:
        description: 'Pod test/static-web (script) is in waiting state (reason: "CrashLoopBackOff").'
        runbook_url: "https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepodcrashlooping"
        summary: "Pod is crash looping."
  - eval_time: 20m
    alertname: KubePodCrashLooping   # alert fired for a period of 5 minutes after resolution because the alert looks back at the last 5 minutes of data and the range vector doesn't take stale samples into account 
    exp_alerts:
      - exp_labels:
          severity: "warning"
          container: "script"
          job: "kube-state-metrics"
          namespace: "test"
          pod: "static-web"
          reason: "CrashLoopBackOff"
        exp_annotations:
          description: 'Pod test/static-web (script) is in waiting state (reason: "CrashLoopBackOff").'
          runbook_url: "https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepodcrashlooping"
          summary: "Pod is crash looping."
  - eval_time: 21m    # alert recovers
    alertname: KubePodCrashLooping

# When ResourceQuota has both cpu and requests.cpu, min value of those will be taken into account for quota calculation.
- interval: 1m
  input_series:
  - series: 'kube_resourcequota{namespace="test", resource="cpu", type="hard", job="kube-state-metrics"}'
    values: '1000x10'
  - series: 'kube_resourcequota{namespace="test", resource="requests.cpu", type="hard", job="kube-state-metrics"}'
    values: '100x10'
  - series: 'kube_resourcequota{namespace="test1", resource="requests.cpu", type="hard", job="kube-state-metrics"}'
    values: '50x10'
  - series: 'kube_node_status_allocatable{namespace="monitoring", node="n1", resource="cpu", job="kube-state-metrics"}'
    values: '100x10'
  - series: 'kube_node_status_allocatable{namespace="monitoring", node="n2", resource="cpu", job="kube-state-metrics"}'
    values: '100x10'
  alert_rule_test:
  - eval_time: 4m
    alertname: KubeCPUQuotaOvercommit
  - eval_time: 5m    # alert shouldn't fire
    alertname: KubeCPUQuotaOvercommit
- interval: 1m
  input_series:
  - series: 'kube_resourcequota{namespace="test", resource="cpu", type="hard", job="kube-state-metrics"}'
    values: '1000x10'
  - series: 'kube_resourcequota{namespace="test", resource="requests.cpu", type="hard", job="kube-state-metrics"}'
    values: '200x10'
  - series: 'kube_resourcequota{namespace="test1", resource="requests.cpu", type="hard", job="kube-state-metrics"}'
    values: '200x10'
  - series: 'kube_node_status_allocatable{namespace="monitoring", node="n1", resource="cpu", job="kube-state-metrics"}'
    values: '100x10'
  - series: 'kube_node_status_allocatable{namespace="monitoring", node="n2", resource="cpu", job="kube-state-metrics"}'
    values: '100x10'
  alert_rule_test:
  - eval_time: 4m
    alertname: KubeCPUQuotaOvercommit
  - eval_time: 5m    # alert shouldn't fire
    alertname: KubeCPUQuotaOvercommit
    exp_alerts:
    - exp_labels:
        severity: "warning"
      exp_annotations:
        description: 'Cluster has overcommitted CPU resource requests for Namespaces.'
        runbook_url: "https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubecpuquotaovercommit"
        summary: "Cluster has overcommitted CPU resource requests."

# When ResourceQuota has both memory and requests.memory, min value of those will be taken into account for quota calculation.
- interval: 1m
  input_series:
  - series: 'kube_resourcequota{namespace="test", resource="memory", type="hard", job="kube-state-metrics"}'
    values: '1000x10'
  - series: 'kube_resourcequota{namespace="test", resource="requests.memory", type="hard", job="kube-state-metrics"}'
    values: '100x10'
  - series: 'kube_resourcequota{namespace="test1", resource="requests.memory", type="hard", job="kube-state-metrics"}'
    values: '50x10'
  - series: 'kube_node_status_allocatable{namespace="monitoring", node="n1", resource="memory", job="kube-state-metrics"}'
    values: '100x10'
  - series: 'kube_node_status_allocatable{namespace="monitoring", node="n2", resource="memory", job="kube-state-metrics"}'
    values: '100x10'
  alert_rule_test:
  - eval_time: 4m
    alertname: KubeMemoryQuotaOvercommit
  - eval_time: 5m    # alert shouldn't fire
    alertname: KubeMemoryQuotaOvercommit
- interval: 1m
  input_series:
  - series: 'kube_resourcequota{namespace="test", resource="memory", type="hard", job="kube-state-metrics"}'
    values: '1000x10'
  - series: 'kube_resourcequota{namespace="test", resource="requests.memory", type="hard", job="kube-state-metrics"}'
    values: '500x10'
  - series: 'kube_resourcequota{namespace="test1", resource="requests.memory", type="hard", job="kube-state-metrics"}'
    values: '500x10'
  - series: 'kube_node_status_allocatable{namespace="monitoring", node="n1", resource="memory", job="kube-state-metrics"}'
    values: '10x10'
  - series: 'kube_node_status_allocatable{namespace="monitoring", node="n2", resource="memory", job="kube-state-metrics"}'
    values: '10x10'
  alert_rule_test:
  - eval_time: 4m
    alertname: KubeMemoryQuotaOvercommit
  - eval_time: 5m    # alert shouldn't fire
    alertname: KubeMemoryQuotaOvercommit
    exp_alerts:
    - exp_labels:
        severity: "warning"
      exp_annotations:
        description: 'Cluster has overcommitted memory resource requests for Namespaces.'
        runbook_url: "https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubememoryquotaovercommit"
        summary: "Cluster has overcommitted memory resource requests."