apiVersion: monitoring.coreos.com/v1 kind: PrometheusRule metadata: labels: prometheus: k8s role: alert-rules name: prometheus-k8s-rules namespace: monitoring spec: groups: - name: k8s.rules rules: - expr: | sum(rate(container_cpu_usage_seconds_total{job="kubelet", image!="", container_name!=""}[5m])) by (namespace) record: namespace:container_cpu_usage_seconds_total:sum_rate - expr: | sum by (namespace, pod_name, container_name) ( rate(container_cpu_usage_seconds_total{job="kubelet", image!="", container_name!=""}[5m]) ) record: namespace_pod_name_container_name:container_cpu_usage_seconds_total:sum_rate - expr: | sum(container_memory_usage_bytes{job="kubelet", image!="", container_name!=""}) by (namespace) record: namespace:container_memory_usage_bytes:sum - expr: | sum by (namespace, label_name) ( sum(rate(container_cpu_usage_seconds_total{job="kubelet", image!="", container_name!=""}[5m])) by (namespace, pod_name) * on (namespace, pod_name) group_left(label_name) label_replace(kube_pod_labels{job="kube-state-metrics"}, "pod_name", "$1", "pod", "(.*)") ) record: namespace_name:container_cpu_usage_seconds_total:sum_rate - expr: | sum by (namespace, label_name) ( sum(container_memory_usage_bytes{job="kubelet",image!="", container_name!=""}) by (pod_name, namespace) * on (namespace, pod_name) group_left(label_name) label_replace(kube_pod_labels{job="kube-state-metrics"}, "pod_name", "$1", "pod", "(.*)") ) record: namespace_name:container_memory_usage_bytes:sum - expr: | sum by (namespace, label_name) ( sum(kube_pod_container_resource_requests_memory_bytes{job="kube-state-metrics"} * on (endpoint, instance, job, namespace, pod, service) group_left(phase) (kube_pod_status_phase{phase=~"^(Pending|Running)$"} == 1)) by (namespace, pod) * on (namespace, pod) group_left(label_name) label_replace(kube_pod_labels{job="kube-state-metrics"}, "pod_name", "$1", "pod", "(.*)") ) record: namespace_name:kube_pod_container_resource_requests_memory_bytes:sum - expr: | sum by (namespace, label_name) ( sum(kube_pod_container_resource_requests_cpu_cores{job="kube-state-metrics"} and on(pod) kube_pod_status_scheduled{condition="true"}) by (namespace, pod) * on (namespace, pod) group_left(label_name) label_replace(kube_pod_labels{job="kube-state-metrics"}, "pod_name", "$1", "pod", "(.*)") ) record: namespace_name:kube_pod_container_resource_requests_cpu_cores:sum - name: kube-scheduler.rules rules: - expr: | histogram_quantile(0.99, sum(rate(scheduler_e2e_scheduling_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06 labels: quantile: "0.99" record: cluster_quantile:scheduler_e2e_scheduling_latency:histogram_quantile - expr: | histogram_quantile(0.99, sum(rate(scheduler_scheduling_algorithm_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06 labels: quantile: "0.99" record: cluster_quantile:scheduler_scheduling_algorithm_latency:histogram_quantile - expr: | histogram_quantile(0.99, sum(rate(scheduler_binding_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06 labels: quantile: "0.99" record: cluster_quantile:scheduler_binding_latency:histogram_quantile - expr: | histogram_quantile(0.9, sum(rate(scheduler_e2e_scheduling_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06 labels: quantile: "0.9" record: cluster_quantile:scheduler_e2e_scheduling_latency:histogram_quantile - expr: | histogram_quantile(0.9, sum(rate(scheduler_scheduling_algorithm_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06 labels: quantile: "0.9" record: cluster_quantile:scheduler_scheduling_algorithm_latency:histogram_quantile - expr: | histogram_quantile(0.9, sum(rate(scheduler_binding_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06 labels: quantile: "0.9" record: cluster_quantile:scheduler_binding_latency:histogram_quantile - expr: | histogram_quantile(0.5, sum(rate(scheduler_e2e_scheduling_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06 labels: quantile: "0.5" record: cluster_quantile:scheduler_e2e_scheduling_latency:histogram_quantile - expr: | histogram_quantile(0.5, sum(rate(scheduler_scheduling_algorithm_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06 labels: quantile: "0.5" record: cluster_quantile:scheduler_scheduling_algorithm_latency:histogram_quantile - expr: | histogram_quantile(0.5, sum(rate(scheduler_binding_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06 labels: quantile: "0.5" record: cluster_quantile:scheduler_binding_latency:histogram_quantile - name: kube-apiserver.rules rules: - expr: | histogram_quantile(0.99, sum(rate(apiserver_request_latencies_bucket{job="apiserver"}[5m])) without(instance, pod)) / 1e+06 labels: quantile: "0.99" record: cluster_quantile:apiserver_request_latencies:histogram_quantile - expr: | histogram_quantile(0.9, sum(rate(apiserver_request_latencies_bucket{job="apiserver"}[5m])) without(instance, pod)) / 1e+06 labels: quantile: "0.9" record: cluster_quantile:apiserver_request_latencies:histogram_quantile - expr: | histogram_quantile(0.5, sum(rate(apiserver_request_latencies_bucket{job="apiserver"}[5m])) without(instance, pod)) / 1e+06 labels: quantile: "0.5" record: cluster_quantile:apiserver_request_latencies:histogram_quantile - name: node.rules rules: - expr: sum(min(kube_pod_info) by (node)) record: ':kube_pod_info_node_count:' - expr: | max(label_replace(kube_pod_info{job="kube-state-metrics"}, "pod", "$1", "pod", "(.*)")) by (node, namespace, pod) record: 'node_namespace_pod:kube_pod_info:' - expr: | count by (node) (sum by (node, cpu) ( node_cpu_seconds_total{job="node-exporter"} * on (namespace, pod) group_left(node) node_namespace_pod:kube_pod_info: )) record: node:node_num_cpu:sum - expr: | 1 - avg(rate(node_cpu_seconds_total{job="node-exporter",mode="idle"}[1m])) record: :node_cpu_utilisation:avg1m - expr: | 1 - avg by (node) ( rate(node_cpu_seconds_total{job="node-exporter",mode="idle"}[1m]) * on (namespace, pod) group_left(node) node_namespace_pod:kube_pod_info:) record: node:node_cpu_utilisation:avg1m - expr: | node:node_cpu_utilisation:avg1m * node:node_num_cpu:sum / scalar(sum(node:node_num_cpu:sum)) record: node:cluster_cpu_utilisation:ratio - expr: | sum(node_load1{job="node-exporter"}) / sum(node:node_num_cpu:sum) record: ':node_cpu_saturation_load1:' - expr: | sum by (node) ( node_load1{job="node-exporter"} * on (namespace, pod) group_left(node) node_namespace_pod:kube_pod_info: ) / node:node_num_cpu:sum record: 'node:node_cpu_saturation_load1:' - expr: | 1 - sum(node_memory_MemFree_bytes{job="node-exporter"} + node_memory_Cached_bytes{job="node-exporter"} + node_memory_Buffers_bytes{job="node-exporter"}) / sum(node_memory_MemTotal_bytes{job="node-exporter"}) record: ':node_memory_utilisation:' - expr: | sum(node_memory_MemFree_bytes{job="node-exporter"} + node_memory_Cached_bytes{job="node-exporter"} + node_memory_Buffers_bytes{job="node-exporter"}) record: :node_memory_MemFreeCachedBuffers_bytes:sum - expr: | sum(node_memory_MemTotal_bytes{job="node-exporter"}) record: :node_memory_MemTotal_bytes:sum - expr: | sum by (node) ( (node_memory_MemFree_bytes{job="node-exporter"} + node_memory_Cached_bytes{job="node-exporter"} + node_memory_Buffers_bytes{job="node-exporter"}) * on (namespace, pod) group_left(node) node_namespace_pod:kube_pod_info: ) record: node:node_memory_bytes_available:sum - expr: | sum by (node) ( node_memory_MemTotal_bytes{job="node-exporter"} * on (namespace, pod) group_left(node) node_namespace_pod:kube_pod_info: ) record: node:node_memory_bytes_total:sum - expr: | (node:node_memory_bytes_total:sum - node:node_memory_bytes_available:sum) / node:node_memory_bytes_total:sum record: node:node_memory_utilisation:ratio - expr: | (node:node_memory_bytes_total:sum - node:node_memory_bytes_available:sum) / scalar(sum(node:node_memory_bytes_total:sum)) record: node:cluster_memory_utilisation:ratio - expr: | 1e3 * sum( (rate(node_vmstat_pgpgin{job="node-exporter"}[1m]) + rate(node_vmstat_pgpgout{job="node-exporter"}[1m])) ) record: :node_memory_swap_io_bytes:sum_rate - expr: | 1 - sum by (node) ( (node_memory_MemFree_bytes{job="node-exporter"} + node_memory_Cached_bytes{job="node-exporter"} + node_memory_Buffers_bytes{job="node-exporter"}) * on (namespace, pod) group_left(node) node_namespace_pod:kube_pod_info: ) / sum by (node) ( node_memory_MemTotal_bytes{job="node-exporter"} * on (namespace, pod) group_left(node) node_namespace_pod:kube_pod_info: ) record: 'node:node_memory_utilisation:' - expr: | 1 - (node:node_memory_bytes_available:sum / node:node_memory_bytes_total:sum) record: 'node:node_memory_utilisation_2:' - expr: | 1e3 * sum by (node) ( (rate(node_vmstat_pgpgin{job="node-exporter"}[1m]) + rate(node_vmstat_pgpgout{job="node-exporter"}[1m])) * on (namespace, pod) group_left(node) node_namespace_pod:kube_pod_info: ) record: node:node_memory_swap_io_bytes:sum_rate - expr: | avg(irate(node_disk_io_time_seconds_total{job="node-exporter",device=~"nvme.+|rbd.+|sd.+|vd.+|xvd.+|dm-.+"}[1m])) record: :node_disk_utilisation:avg_irate - expr: | avg by (node) ( irate(node_disk_io_time_seconds_total{job="node-exporter",device=~"nvme.+|rbd.+|sd.+|vd.+|xvd.+|dm-.+"}[1m]) * on (namespace, pod) group_left(node) node_namespace_pod:kube_pod_info: ) record: node:node_disk_utilisation:avg_irate - expr: | avg(irate(node_disk_io_time_weighted_seconds_total{job="node-exporter",device=~"nvme.+|rbd.+|sd.+|vd.+|xvd.+|dm-.+"}[1m]) / 1e3) record: :node_disk_saturation:avg_irate - expr: | avg by (node) ( irate(node_disk_io_time_weighted_seconds_total{job="node-exporter",device=~"nvme.+|rbd.+|sd.+|vd.+|xvd.+|dm-.+"}[1m]) / 1e3 * on (namespace, pod) group_left(node) node_namespace_pod:kube_pod_info: ) record: node:node_disk_saturation:avg_irate - expr: | max by (namespace, pod, device) ((node_filesystem_size_bytes{fstype=~"ext[234]|btrfs|xfs|zfs"} - node_filesystem_avail_bytes{fstype=~"ext[234]|btrfs|xfs|zfs"}) / node_filesystem_size_bytes{fstype=~"ext[234]|btrfs|xfs|zfs"}) record: 'node:node_filesystem_usage:' - expr: | max by (namespace, pod, device) (node_filesystem_avail_bytes{fstype=~"ext[234]|btrfs|xfs|zfs"} / node_filesystem_size_bytes{fstype=~"ext[234]|btrfs|xfs|zfs"}) record: 'node:node_filesystem_avail:' - expr: | sum(irate(node_network_receive_bytes_total{job="node-exporter",device!~"veth.+"}[1m])) + sum(irate(node_network_transmit_bytes_total{job="node-exporter",device!~"veth.+"}[1m])) record: :node_net_utilisation:sum_irate - expr: | sum by (node) ( (irate(node_network_receive_bytes_total{job="node-exporter",device!~"veth.+"}[1m]) + irate(node_network_transmit_bytes_total{job="node-exporter",device!~"veth.+"}[1m])) * on (namespace, pod) group_left(node) node_namespace_pod:kube_pod_info: ) record: node:node_net_utilisation:sum_irate - expr: | sum(irate(node_network_receive_drop_total{job="node-exporter",device!~"veth.+"}[1m])) + sum(irate(node_network_transmit_drop_total{job="node-exporter",device!~"veth.+"}[1m])) record: :node_net_saturation:sum_irate - expr: | sum by (node) ( (irate(node_network_receive_drop_total{job="node-exporter",device!~"veth.+"}[1m]) + irate(node_network_transmit_drop_total{job="node-exporter",device!~"veth.+"}[1m])) * on (namespace, pod) group_left(node) node_namespace_pod:kube_pod_info: ) record: node:node_net_saturation:sum_irate - expr: | max( max( kube_pod_info{job="kube-state-metrics", host_ip!=""} ) by (node, host_ip) * on (host_ip) group_right (node) label_replace( (max(node_filesystem_files{job="node-exporter", mountpoint="/"}) by (instance)), "host_ip", "$1", "instance", "(.*):.*" ) ) by (node) record: 'node:node_inodes_total:' - expr: | max( max( kube_pod_info{job="kube-state-metrics", host_ip!=""} ) by (node, host_ip) * on (host_ip) group_right (node) label_replace( (max(node_filesystem_files_free{job="node-exporter", mountpoint="/"}) by (instance)), "host_ip", "$1", "instance", "(.*):.*" ) ) by (node) record: 'node:node_inodes_free:' - name: kube-prometheus-node-recording.rules rules: - expr: sum(rate(node_cpu_seconds_total{mode!="idle",mode!="iowait"}[3m])) BY (instance) record: instance:node_cpu:rate:sum - expr: sum((node_filesystem_size_bytes{mountpoint="/"} - node_filesystem_free_bytes{mountpoint="/"})) BY (instance) record: instance:node_filesystem_usage:sum - expr: sum(rate(node_network_receive_bytes_total[3m])) BY (instance) record: instance:node_network_receive_bytes:rate:sum - expr: sum(rate(node_network_transmit_bytes_total[3m])) BY (instance) record: instance:node_network_transmit_bytes:rate:sum - expr: sum(rate(node_cpu_seconds_total{mode!="idle",mode!="iowait"}[5m])) WITHOUT (cpu, mode) / ON(instance) GROUP_LEFT() count(sum(node_cpu_seconds_total) BY (instance, cpu)) BY (instance) record: instance:node_cpu:ratio - expr: sum(rate(node_cpu_seconds_total{mode!="idle",mode!="iowait"}[5m])) record: cluster:node_cpu:sum_rate5m - expr: cluster:node_cpu_seconds_total:rate5m / count(sum(node_cpu_seconds_total) BY (instance, cpu)) record: cluster:node_cpu:ratio - name: elasticsearch-k8s-rules rules: - expr: 100 * (elasticsearch_filesystem_data_size_bytes - elasticsearch_filesystem_data_free_bytes) / elasticsearch_filesystem_data_size_bytes record: elasticsearch_filesystem_data_used_percent - expr: 100 - elasticsearch_filesystem_data_used_percent record: elasticsearch_filesystem_data_free_percent - alert: ElasticsearchTooFewNodesRunning annotations: message: There are only {{$value}} < 3 ElasticSearch nodes running runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-elasticsearchtoofewnodesrunning summary: ElasticSearch running on less than 3 nodes expr: elasticsearch_cluster_health_number_of_nodes < 3 for: 5m labels: severity: critical - alert: ElasticsearchHeapTooHigh annotations: message: The heap usage is over 90% for 15m runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-elasticsearchheaptoohigh summary: ElasticSearch node {{$labels.node}} heap usage is high expr: elasticsearch_jvm_memory_used_bytes{area="heap"} / elasticsearch_jvm_memory_max_bytes{area="heap"} > 0.9 for: 15m labels: severity: critical - name: kubernetes-absent rules: - alert: AlertmanagerDown annotations: message: Alertmanager has disappeared from Prometheus target discovery. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-alertmanagerdown expr: | absent(up{job="alertmanager-main",namespace="monitoring"} == 1) for: 15m labels: severity: critical - alert: CoreDNSDown annotations: message: CoreDNS has disappeared from Prometheus target discovery. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-corednsdown expr: | absent(up{job="kube-dns"} == 1) for: 15m labels: severity: critical - alert: KubeAPIDown annotations: message: KubeAPI has disappeared from Prometheus target discovery. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapidown expr: | absent(up{job="apiserver"} == 1) for: 15m labels: severity: critical - alert: KubeControllerManagerDown annotations: message: KubeControllerManager has disappeared from Prometheus target discovery. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubecontrollermanagerdown expr: | absent(up{job="kube-controller-manager"} == 1) for: 15m labels: severity: critical - alert: KubeSchedulerDown annotations: message: KubeScheduler has disappeared from Prometheus target discovery. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeschedulerdown expr: | absent(up{job="kube-scheduler"} == 1) for: 15m labels: severity: critical - alert: KubeStateMetricsDown annotations: message: KubeStateMetrics has disappeared from Prometheus target discovery. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubestatemetricsdown expr: | absent(up{job="kube-state-metrics"} == 1) for: 15m labels: severity: critical - alert: KubeletDown annotations: message: Kubelet has disappeared from Prometheus target discovery. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeletdown expr: | absent(up{job="kubelet"} == 1) for: 15m labels: severity: critical - alert: NodeExporterDown annotations: message: NodeExporter has disappeared from Prometheus target discovery. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-nodeexporterdown expr: | absent(up{job="node-exporter"} == 1) for: 15m labels: severity: critical - alert: PrometheusDown annotations: message: Prometheus has disappeared from Prometheus target discovery. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-prometheusdown expr: | absent(up{job="prometheus-k8s",namespace="monitoring"} == 1) for: 15m labels: severity: critical - alert: PrometheusOperatorDown annotations: message: PrometheusOperator has disappeared from Prometheus target discovery. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-prometheusoperatordown expr: | absent(up{job="prometheus-operator",namespace="monitoring"} == 1) for: 15m labels: severity: critical - name: kubernetes-apps rules: - alert: KubePodCrashLooping annotations: message: Pod {{ $labels.namespace }}/{{ $labels.pod }} ({{ $labels.container }}) is restarting {{ printf "%.2f" $value }} times / 5 minutes. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepodcrashlooping expr: | rate(kube_pod_container_status_restarts_total{job="kube-state-metrics"}[15m]) * 60 * 5 > 0 for: 1h labels: severity: critical - alert: KubePodNotReady annotations: message: Pod {{ $labels.namespace }}/{{ $labels.pod }} has been in a non-ready state for longer than an hour. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepodnotready expr: | sum by (namespace, pod) (kube_pod_status_phase{job="kube-state-metrics", phase=~"Pending|Unknown"}) > 0 for: 1h labels: severity: critical - alert: KubeDeploymentGenerationMismatch annotations: message: Deployment generation for {{ $labels.namespace }}/{{ $labels.deployment }} does not match, this indicates that the Deployment has failed but has not been rolled back. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedeploymentgenerationmismatch expr: | kube_deployment_status_observed_generation{job="kube-state-metrics"} != kube_deployment_metadata_generation{job="kube-state-metrics"} for: 15m labels: severity: critical - alert: KubeDeploymentReplicasMismatch annotations: message: Deployment {{ $labels.namespace }}/{{ $labels.deployment }} has not matched the expected number of replicas for longer than an hour. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedeploymentreplicasmismatch expr: | kube_deployment_spec_replicas{job="kube-state-metrics"} != kube_deployment_status_replicas_available{job="kube-state-metrics"} for: 1h labels: severity: critical - alert: KubeStatefulSetReplicasMismatch annotations: message: StatefulSet {{ $labels.namespace }}/{{ $labels.statefulset }} has not matched the expected number of replicas for longer than 15 minutes. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubestatefulsetreplicasmismatch expr: | kube_statefulset_status_replicas_ready{job="kube-state-metrics"} != kube_statefulset_status_replicas{job="kube-state-metrics"} for: 15m labels: severity: critical - alert: KubeStatefulSetGenerationMismatch annotations: message: StatefulSet generation for {{ $labels.namespace }}/{{ $labels.statefulset }} does not match, this indicates that the StatefulSet has failed but has not been rolled back. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubestatefulsetgenerationmismatch expr: | kube_statefulset_status_observed_generation{job="kube-state-metrics"} != kube_statefulset_metadata_generation{job="kube-state-metrics"} for: 15m labels: severity: critical - alert: KubeStatefulSetUpdateNotRolledOut annotations: message: StatefulSet {{ $labels.namespace }}/{{ $labels.statefulset }} update has not been rolled out. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubestatefulsetupdatenotrolledout expr: | max without (revision) ( kube_statefulset_status_current_revision{job="kube-state-metrics"} unless kube_statefulset_status_update_revision{job="kube-state-metrics"} ) * ( kube_statefulset_replicas{job="kube-state-metrics"} != kube_statefulset_status_replicas_updated{job="kube-state-metrics"} ) for: 15m labels: severity: critical - alert: KubeDaemonSetRolloutStuck annotations: message: Only {{ $value }}% of the desired Pods of DaemonSet {{ $labels.namespace }}/{{ $labels.daemonset }} are scheduled and ready. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedaemonsetrolloutstuck expr: | kube_daemonset_status_number_ready{job="kube-state-metrics"} / kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics"} * 100 < 100 for: 15m labels: severity: critical - alert: KubeDaemonSetNotScheduled annotations: message: '{{ $value }} Pods of DaemonSet {{ $labels.namespace }}/{{ $labels.daemonset }} are not scheduled.' runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedaemonsetnotscheduled expr: | kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics"} - kube_daemonset_status_current_number_scheduled{job="kube-state-metrics"} > 0 for: 10m labels: severity: warning - alert: KubeDaemonSetMisScheduled annotations: message: '{{ $value }} Pods of DaemonSet {{ $labels.namespace }}/{{ $labels.daemonset }} are running where they are not supposed to run.' runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedaemonsetmisscheduled expr: | kube_daemonset_status_number_misscheduled{job="kube-state-metrics"} > 0 for: 10m labels: severity: warning - alert: KubeCronJobRunning annotations: message: CronJob {{ $labels.namespace }}/{{ $labels.cronjob }} is taking more than 1h to complete. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubecronjobrunning expr: | time() - kube_cronjob_next_schedule_time{job="kube-state-metrics"} > 3600 for: 1h labels: severity: warning - alert: KubeJobCompletion annotations: message: Job {{ $labels.namespace }}/{{ $labels.job_name }} is taking more than one hour to complete. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubejobcompletion expr: | kube_job_spec_completions{job="kube-state-metrics"} - kube_job_status_succeeded{job="kube-state-metrics"} > 0 for: 1h labels: severity: warning - alert: KubeJobFailed annotations: message: Job {{ $labels.namespace }}/{{ $labels.job_name }} failed to complete. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubejobfailed expr: | kube_job_status_failed{job="kube-state-metrics"} > 0 for: 1h labels: severity: warning - name: kubernetes-resources rules: - alert: KubeCPUOvercommit annotations: message: Cluster has overcommitted CPU resource requests for Pods and cannot tolerate node failure. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubecpuovercommit expr: | sum(namespace_name:kube_pod_container_resource_requests_cpu_cores:sum) / sum(node:node_num_cpu:sum) > (count(node:node_num_cpu:sum)-1) / count(node:node_num_cpu:sum) for: 5m labels: severity: warning - alert: KubeMemOvercommit annotations: message: Cluster has overcommitted memory resource requests for Pods and cannot tolerate node failure. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubememovercommit expr: | sum(namespace_name:kube_pod_container_resource_requests_memory_bytes:sum) / sum(node_memory_MemTotal_bytes) > (count(node:node_num_cpu:sum)-1) / count(node:node_num_cpu:sum) for: 5m labels: severity: warning - alert: KubeCPUOvercommit annotations: message: Cluster has overcommitted CPU resource requests for Namespaces. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubecpuovercommit expr: | sum(kube_resourcequota{job="kube-state-metrics", type="hard", resource="cpu"}) / sum(node:node_num_cpu:sum) > 1.5 for: 5m labels: severity: warning - alert: KubeMemOvercommit annotations: message: Cluster has overcommitted memory resource requests for Namespaces. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubememovercommit expr: | sum(kube_resourcequota{job="kube-state-metrics", type="hard", resource="memory"}) / sum(node_memory_MemTotal_bytes{job="node-exporter"}) > 1.5 for: 5m labels: severity: warning - alert: KubeQuotaExceeded annotations: message: Namespace {{ $labels.namespace }} is using {{ printf "%0.0f" $value }}% of its {{ $labels.resource }} quota. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubequotaexceeded expr: | 100 * kube_resourcequota{job="kube-state-metrics", type="used"} / ignoring(instance, job, type) (kube_resourcequota{job="kube-state-metrics", type="hard"} > 0) > 90 for: 15m labels: severity: warning - alert: CPUThrottlingHigh annotations: message: '{{ printf "%0.0f" $value }}% throttling of CPU in namespace {{ $labels.namespace }} for container {{ $labels.container_name }} in pod {{ $labels.pod_name }}.' runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-cputhrottlinghigh expr: "100 * sum(increase(container_cpu_cfs_throttled_periods_total{container_name!=\"\", }[5m])) by (container_name, pod_name, namespace)\n /\nsum(increase(container_cpu_cfs_periods_total{}[5m])) by (container_name, pod_name, namespace)\n > 25 \n" for: 15m labels: severity: warning - name: kubernetes-storage rules: - alert: KubePersistentVolumeUsageCritical annotations: message: The PersistentVolume claimed by {{ $labels.persistentvolumeclaim }} in Namespace {{ $labels.namespace }} is only {{ printf "%0.2f" $value }}% free. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumeusagecritical expr: | 100 * kubelet_volume_stats_available_bytes{job="kubelet"} / kubelet_volume_stats_capacity_bytes{job="kubelet"} < 3 for: 1m labels: severity: critical - alert: KubePersistentVolumeFullInFourDays annotations: message: Based on recent sampling, the PersistentVolume claimed by {{ $labels.persistentvolumeclaim }} in Namespace {{ $labels.namespace }} is expected to fill up within four days. Currently {{ printf "%0.2f" $value }}% is available. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumefullinfourdays expr: | 100 * ( kubelet_volume_stats_available_bytes{job="kubelet"} / kubelet_volume_stats_capacity_bytes{job="kubelet"} ) < 15 and predict_linear(kubelet_volume_stats_available_bytes{job="kubelet"}[6h], 4 * 24 * 3600) < 0 for: 5m labels: severity: critical - alert: KubePersistentVolumeErrors annotations: message: The persistent volume {{ $labels.persistentvolume }} has status {{ $labels.phase }}. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumeerrors expr: | kube_persistentvolume_status_phase{phase=~"Failed|Pending",job="kube-state-metrics"} > 0 for: 5m labels: severity: critical - name: kubernetes-system rules: - alert: KubeNodeNotReady annotations: message: '{{ $labels.node }} has been unready for more than an hour.' runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubenodenotready expr: | kube_node_status_condition{job="kube-state-metrics",condition="Ready",status="true"} == 0 for: 1h labels: severity: warning - alert: KubeVersionMismatch annotations: message: There are {{ $value }} different semantic versions of Kubernetes components running. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeversionmismatch expr: | count(count by (gitVersion) (label_replace(kubernetes_build_info{job!="kube-dns"},"gitVersion","$1","gitVersion","(v[0-9]*.[0-9]*.[0-9]*).*"))) > 1 for: 1h labels: severity: warning - alert: KubeClientErrors annotations: message: Kubernetes API server client '{{ $labels.job }}/{{ $labels.instance }}' is experiencing {{ printf "%0.0f" $value }}% errors.' runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeclienterrors expr: | (sum(rate(rest_client_requests_total{code=~"5.."}[5m])) by (instance, job) / sum(rate(rest_client_requests_total[5m])) by (instance, job)) * 100 > 1 for: 15m labels: severity: warning - alert: KubeClientErrors annotations: message: Kubernetes API server client '{{ $labels.job }}/{{ $labels.instance }}' is experiencing {{ printf "%0.0f" $value }} errors / second. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeclienterrors expr: | sum(rate(ksm_scrape_error_total{job="kube-state-metrics"}[5m])) by (instance, job) > 0.1 for: 15m labels: severity: warning - alert: KubeletTooManyPods annotations: message: Kubelet {{ $labels.instance }} is running {{ $value }} Pods, close to the limit of 110. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubelettoomanypods expr: | kubelet_running_pod_count{job="kubelet"} > 110 * 0.9 for: 15m labels: severity: warning - alert: KubeAPILatencyHigh annotations: message: The API server has a 99th percentile latency of {{ $value }} seconds for {{ $labels.verb }} {{ $labels.resource }}. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapilatencyhigh expr: | cluster_quantile:apiserver_request_latencies:histogram_quantile{job="apiserver",quantile="0.99",subresource!="log",verb!~"^(?:LIST|WATCH|WATCHLIST|PROXY|CONNECT)$"} > 1 for: 10m labels: severity: warning - alert: KubeAPILatencyHigh annotations: message: The API server has a 99th percentile latency of {{ $value }} seconds for {{ $labels.verb }} {{ $labels.resource }}. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapilatencyhigh expr: | cluster_quantile:apiserver_request_latencies:histogram_quantile{job="apiserver",quantile="0.99",subresource!="log",verb!~"^(?:LIST|WATCH|WATCHLIST|PROXY|CONNECT)$"} > 4 for: 10m labels: severity: critical - alert: KubeAPIErrorsHigh annotations: message: API server is returning errors for {{ $value }}% of requests. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapierrorshigh expr: | sum(rate(apiserver_request_count{job="apiserver",code=~"^(?:5..)$"}[5m])) / sum(rate(apiserver_request_count{job="apiserver"}[5m])) * 100 > 3 for: 10m labels: severity: critical - alert: KubeAPIErrorsHigh annotations: message: API server is returning errors for {{ $value }}% of requests. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapierrorshigh expr: | sum(rate(apiserver_request_count{job="apiserver",code=~"^(?:5..)$"}[5m])) / sum(rate(apiserver_request_count{job="apiserver"}[5m])) * 100 > 1 for: 10m labels: severity: warning - alert: KubeAPIErrorsHigh annotations: message: API server is returning errors for {{ $value }}% of requests for {{ $labels.verb }} {{ $labels.resource }} {{ $labels.subresource }}. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapierrorshigh expr: | sum(rate(apiserver_request_count{job="apiserver",code=~"^(?:5..)$"}[5m])) by (resource,subresource,verb) / sum(rate(apiserver_request_count{job="apiserver"}[5m])) by (resource,subresource,verb) * 100 > 10 for: 10m labels: severity: critical - alert: KubeAPIErrorsHigh annotations: message: API server is returning errors for {{ $value }}% of requests for {{ $labels.verb }} {{ $labels.resource }} {{ $labels.subresource }}. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapierrorshigh expr: | sum(rate(apiserver_request_count{job="apiserver",code=~"^(?:5..)$"}[5m])) by (resource,subresource,verb) / sum(rate(apiserver_request_count{job="apiserver"}[5m])) by (resource,subresource,verb) * 100 > 5 for: 10m labels: severity: warning - alert: KubeClientCertificateExpiration annotations: message: A client certificate used to authenticate to the apiserver is expiring in less than 7 days. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeclientcertificateexpiration 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]))) < 604800 labels: severity: warning - alert: KubeClientCertificateExpiration annotations: message: A client certificate used to authenticate to the apiserver is expiring in less than 24 hours. runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeclientcertificateexpiration 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]))) < 86400 labels: severity: critical - name: alertmanager.rules rules: - alert: AlertmanagerConfigInconsistent annotations: message: The configuration of the instances of the Alertmanager cluster `{{$labels.service}}` are out of sync. expr: | count_values("config_hash", alertmanager_config_hash{job="alertmanager-main",namespace="monitoring"}) BY (service) / ON(service) GROUP_LEFT() label_replace(prometheus_operator_spec_replicas{job="prometheus-operator",namespace="monitoring",controller="alertmanager"}, "service", "alertmanager-$1", "name", "(.*)") != 1 for: 5m labels: severity: critical - alert: AlertmanagerFailedReload annotations: message: Reloading Alertmanager's configuration has failed for {{ $labels.namespace }}/{{ $labels.pod}}. expr: | alertmanager_config_last_reload_successful{job="alertmanager-main",namespace="monitoring"} == 0 for: 10m labels: severity: warning - alert: AlertmanagerMembersInconsistent annotations: message: Alertmanager has not found all other members of the cluster. expr: | alertmanager_cluster_members{job="alertmanager-main",namespace="monitoring"} != on (service) GROUP_LEFT() count by (service) (alertmanager_cluster_members{job="alertmanager-main",namespace="monitoring"}) for: 5m labels: severity: critical - name: general.rules rules: - alert: TargetDown annotations: message: '{{ $value }}% of the {{ $labels.job }} targets are down.' expr: 100 * (count(up == 0) BY (job) / count(up) BY (job)) > 10 for: 10m labels: severity: warning - alert: Watchdog annotations: message: | This is an alert meant to ensure that the entire alerting pipeline is functional. This alert is always firing, therefore it should always be firing in Alertmanager and always fire against a receiver. There are integrations with various notification mechanisms that send a notification when this alert is not firing. For example the "DeadMansSnitch" integration in PagerDuty. expr: vector(1) labels: severity: none - name: kube-prometheus-node-alerting.rules rules: - alert: NodeDiskRunningFull annotations: message: Device {{ $labels.device }} of node-exporter {{ $labels.namespace }}/{{ $labels.pod }} will be full within the next 24 hours. expr: | (node:node_filesystem_usage: > 0.85) and (predict_linear(node:node_filesystem_avail:[6h], 3600 * 24) < 0) for: 30m labels: severity: warning - alert: NodeDiskRunningFull annotations: message: Device {{ $labels.device }} of node-exporter {{ $labels.namespace }}/{{ $labels.pod }} will be full within the next 2 hours. expr: | (node:node_filesystem_usage: > 0.85) and (predict_linear(node:node_filesystem_avail:[30m], 3600 * 2) < 0) for: 10m labels: severity: critical - name: prometheus.rules rules: - alert: PrometheusConfigReloadFailed annotations: description: Reloading Prometheus' configuration has failed for {{$labels.namespace}}/{{$labels.pod}} summary: Reloading Prometheus' configuration failed expr: | prometheus_config_last_reload_successful{job="prometheus-k8s",namespace="monitoring"} == 0 for: 10m labels: severity: warning - alert: PrometheusNotificationQueueRunningFull annotations: description: Prometheus' alert notification queue is running full for {{$labels.namespace}}/{{ $labels.pod}} summary: Prometheus' alert notification queue is running full expr: | predict_linear(prometheus_notifications_queue_length{job="prometheus-k8s",namespace="monitoring"}[5m], 60 * 30) > prometheus_notifications_queue_capacity{job="prometheus-k8s",namespace="monitoring"} for: 10m labels: severity: warning - alert: PrometheusErrorSendingAlerts annotations: description: Errors while sending alerts from Prometheus {{$labels.namespace}}/{{ $labels.pod}} to Alertmanager {{$labels.Alertmanager}} summary: Errors while sending alert from Prometheus expr: | rate(prometheus_notifications_errors_total{job="prometheus-k8s",namespace="monitoring"}[5m]) / rate(prometheus_notifications_sent_total{job="prometheus-k8s",namespace="monitoring"}[5m]) > 0.01 for: 10m labels: severity: warning - alert: PrometheusErrorSendingAlerts annotations: description: Errors while sending alerts from Prometheus {{$labels.namespace}}/{{ $labels.pod}} to Alertmanager {{$labels.Alertmanager}} summary: Errors while sending alerts from Prometheus expr: | rate(prometheus_notifications_errors_total{job="prometheus-k8s",namespace="monitoring"}[5m]) / rate(prometheus_notifications_sent_total{job="prometheus-k8s",namespace="monitoring"}[5m]) > 0.03 for: 10m labels: severity: critical - alert: PrometheusNotConnectedToAlertmanagers annotations: description: Prometheus {{ $labels.namespace }}/{{ $labels.pod}} is not connected to any Alertmanagers summary: Prometheus is not connected to any Alertmanagers expr: | prometheus_notifications_alertmanagers_discovered{job="prometheus-k8s",namespace="monitoring"} < 1 for: 10m labels: severity: warning - alert: PrometheusTSDBReloadsFailing annotations: description: '{{$labels.job}} at {{$labels.instance}} had {{$value | humanize}} reload failures over the last four hours.' summary: Prometheus has issues reloading data blocks from disk expr: | increase(prometheus_tsdb_reloads_failures_total{job="prometheus-k8s",namespace="monitoring"}[2h]) > 0 for: 12h labels: severity: warning - alert: PrometheusTSDBCompactionsFailing annotations: description: '{{$labels.job}} at {{$labels.instance}} had {{$value | humanize}} compaction failures over the last four hours.' summary: Prometheus has issues compacting sample blocks expr: | increase(prometheus_tsdb_compactions_failed_total{job="prometheus-k8s",namespace="monitoring"}[2h]) > 0 for: 12h labels: severity: warning - alert: PrometheusTSDBWALCorruptions annotations: description: '{{$labels.job}} at {{$labels.instance}} has a corrupted write-ahead log (WAL).' summary: Prometheus write-ahead log is corrupted expr: | prometheus_tsdb_wal_corruptions_total{job="prometheus-k8s",namespace="monitoring"} > 0 for: 4h labels: severity: warning - alert: PrometheusNotIngestingSamples annotations: description: Prometheus {{ $labels.namespace }}/{{ $labels.pod}} isn't ingesting samples. summary: Prometheus isn't ingesting samples expr: | rate(prometheus_tsdb_head_samples_appended_total{job="prometheus-k8s",namespace="monitoring"}[5m]) <= 0 for: 10m labels: severity: warning - alert: PrometheusTargetScrapesDuplicate annotations: description: '{{$labels.namespace}}/{{$labels.pod}} has many samples rejected due to duplicate timestamps but different values' summary: Prometheus has many samples rejected expr: | increase(prometheus_target_scrapes_sample_duplicate_timestamp_total{job="prometheus-k8s",namespace="monitoring"}[5m]) > 0 for: 10m labels: severity: warning - name: prometheus-operator rules: - alert: PrometheusOperatorReconcileErrors annotations: message: Errors while reconciling {{ $labels.controller }} in {{ $labels.namespace }} Namespace. expr: | rate(prometheus_operator_reconcile_errors_total{job="prometheus-operator",namespace="monitoring"}[5m]) > 0.1 for: 10m labels: severity: warning - alert: PrometheusOperatorNodeLookupErrors annotations: message: Errors while reconciling Prometheus in {{ $labels.namespace }} Namespace. expr: | rate(prometheus_operator_node_address_lookup_errors_total{job="prometheus-operator",namespace="monitoring"}[5m]) > 0.1 for: 10m labels: severity: warning