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openshift-state-metrics promcat
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‎resources/openshift-state-metrics/ALERTS.md‎

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# Alerts
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## KubeCPUOvercommit
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Cluster has overcommitted CPU resource requests for Pods and cannot tolerate node failure.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubecpuovercommit)
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## KubeMemOvercommit
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Cluster has overcommitted memory resource requests for Pods and cannot tolerate node failure.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubememovercommit)
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## KubeCPUOvercommit
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Cluster has overcommitted CPU resource requests for Namespaces.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubecpuovercommit)
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## KubeMemOvercommit
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Cluster has overcommitted memory resource requests for Namespaces.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubememovercommit)
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## KubeQuotaExceeded
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Namespace exceeded its quota.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubequotaexceeded)
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## CPUThrottlingHigh
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Throttling of CPU in namespace for container in pod.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-cputhrottlinghigh)
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## KubePersistentVolumeUsageCritical
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The PersistentVolume claimed in Namespace usage is critical.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumeusagecritical)
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## KubePersistentVolumeFullInFourDays
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Based on recent sampling, the PersistentVolume claimed in the Namespace is expected to fill up within four days
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumefullinfourdays)
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## KubePersistentVolumeErrors
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The persistent volume has bad status.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumeerrors)
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## KubeVersionMismatch
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There are different semantic versions of Kubernetes components running.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeversionmismatch)
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## KubeClientErrors
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Kubernetes API server client is experiencing errors.'
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeclienterrors)
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## ErrorBudgetBurn
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High requests error budget burn for job=kube-apiserver
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-errorbudgetburn)
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## ErrorBudgetBurn
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High requests error budget burn for job=kube-apiserver
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-errorbudgetburn)
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## KubeAPILatencyHigh
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The API server has an abnormal latency.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapilatencyhigh)
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## KubeAPILatencyHigh
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The API server has a 99th percentile latency.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapilatencyhigh)
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## KubeAPIErrorsHigh
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API server is returning high number errors.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapierrorshigh)
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## KubeClientCertificateExpiration
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A client certificate used to authenticate to the apiserver is expiring in less than 7.0 days.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeclientcertificateexpiration)
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## KubeClientCertificateExpiration
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A client certificate used to authenticate to the apiserver is expiring in less than 24.0 hours.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeclientcertificateexpiration)
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## AggregatedAPIErrors
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An aggregated API has reported errors. The number of errors have increased for it in the past five minutes. High values indicate that the availability of the service changes too often.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-aggregatedapierrors)
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## AggregatedAPIDown
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An aggregated API is down. It has not been available at least for the past five minutes.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-aggregatedapidown)
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## KubeAPIDown
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KubeAPI has disappeared from Prometheus target discovery.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapidown)
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## KubeNodeNotReady
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One node has been unready for more than 15 minutes.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubenodenotready)
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## KubeNodeUnreachable
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One node is unreachable and some workloads may be rescheduled.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubenodeunreachable)
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## KubeletTooManyPods
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Kubelet is running out of its Pod capacity.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubelettoomanypods)
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## KubeNodeReadinessFlapping
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The readiness status of node has changed the value several times in the last 15 minutes.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubenodereadinessflapping)
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## KubeletPlegDurationHigh
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The Kubelet Pod Lifecycle Event Generator has a 99th percentile duration of {{ $value }} seconds on node {{ $labels.node }}.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeletplegdurationhigh)
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## KubeletPodStartUpLatencyHigh
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Kubelet Pod startup 99th percentile latency is high.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeletpodstartuplatencyhigh)
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## KubeletDown
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Kubelet has disappeared from Prometheus target discovery.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeletdown)
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## KubeSchedulerDown
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KubeScheduler has disappeared from Prometheus target discovery.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeschedulerdown)
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## KubeControllerManagerDown
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KubeControllerManager has disappeared from Prometheus target discovery.
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[Runbook](https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubecontrollermanagerdown)

‎resources/openshift-state-metrics/INSTALL.md‎

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# Gather the metrics from the prometheus deployed by Openshift
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Metrics are automatically gathered by Prometheus Cluster Monitoring, you can query them in the Prometheus built-in console

‎resources/openshift-state-metrics/README.md‎

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# Openshift-state-metrics
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Red Hat® OpenShift® state metrics is a expansion upon kube-state-metrics adding specific OpenShift® resource metrics
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Openshift provides a prometheus with Openshift-state-metrics but doesn't provide any dashboard with this information.
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You can gather the metrics with our agent and show all metrics in our dashboards or even in the grafana dashboards with
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the Sysdig datasource as a Prometheus datasource.
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# Metrics
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The metrics gives you the information about the following:
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- BuildConfig
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- DeploymentConfig
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- ClusterResourceQuotas
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- Route
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- Group
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# Attributions
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The configuration files and dashboards are maintained by [Sysdig team](https://sysdig.com/).
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All the metrics are maintained by [OpenShift-state-metrics](https://github.com/openshift/openshift-state-metrics).

‎resources/openshift-state-metrics/RECORDING-RULES.md‎

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The recording rules for Sysdig, just download it and apply it.
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```
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kubectl apply -f rules.yaml
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```

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