>>> 目錄 <<<
一、概述
二、結構分析
三、Prometheus配置文件修改
四、添加外部監控
五、Scheduler和Controller配置
六、Alertmanager配置
七、監控數據持久化
八、Grafana儀表板配置
九、匯總
十、定制化配置
一、概述
首先Prometheus整體監控結構略微復雜，一個個部署並不簡單。另外監控Kubernetes就需要訪問內部數據，必定需要進行認證、鑒權、准入控制，
那么這一整套下來將變得難上加難，而且還需要花費一定的時間，如果你沒有特別高的要求，還是建議選用開源比較好的一些方案。
在k8s初期使用 Heapster+cAdvisor方式監控，這是Prometheus Operator出現之前的k8s監控方案。后來出現了Prometheus Operator，但是目前Prometheus Operator已經不包含完整功能，完整的解決方案已經變為kube-prometheus。項目地址為： https://github.com/coreos/kube-prometheus關於這個kube-prometheus目前應該是開源最好的方案了，該存儲庫收集Kubernetes清單，Grafana儀表板和Prometheus規則，以及文檔和腳本，以使用Prometheus Operator 通過Prometheus提供易於操作的端到端Kubernetes集群監視。以容器的方式部署到k8s集群，而且還可以自定義配置，非常的方便。
上圖是Prometheus-Operator官方提供的架構圖，其中Operator是最核心的部分，作為一個控制器，他會去創建Prometheus、ServiceMonitor、AlertManager以及PrometheusRule4個CRD資源對象，然后會一直監控並維持這4個資源對象的狀態。
其中創建的prometheus這種資源對象就是作為Prometheus Server存在，而ServiceMonitor就是exporter的各種抽象，是用來提供專門提供metrics數據接口的工具，Prometheus就是通過ServiceMonitor提供的metrics數據接口去 pull 數據的，當然alertmanager這種資源對象就是對應的AlertManager的抽象，而PrometheusRule是用來被Prometheus實例使用的報警規則文件。
這樣我們要在集群中監控什么數據，就變成了直接去操作 Kubernetes 集群的資源對象了，是不是方便很多了。上圖中的 Service 和 ServiceMonitor 都是 Kubernetes 的資源，一個 ServiceMonitor 可以通過 labelSelector 的方式去匹配一類 Service，Prometheus 也可以通過 labelSelector 去匹配多個ServiceMonitor。
下面是組件的具體介紹：
- Operator： Operator 資源會根據自定義資源（Custom Resource Definition / CRDs）來部署和管理 Prometheus Server，同時監控這些自定義資源事件的變化來做相應的處理，是整個系統的控制中心。
- Prometheus： Prometheus 資源是聲明性地描述 Prometheus 部署的期望狀態。
- Prometheus Server： Operator 根據自定義資源 Prometheus 類型中定義的內容而部署的 Prometheus Server 集群，這些自定義資源可以看作是用來管理 Prometheus Server 集群的 StatefulSets 資源。
- ServiceMonitor： ServiceMonitor 也是一個自定義資源，它描述了一組被 Prometheus 監控的 targets 列表。該資源通過 Labels 來選取對應的 Service Endpoint，讓 Prometheus Server 通過選取的 Service 來獲取 Metrics 信息。
- Service： Service 資源主要用來對應 Kubernetes 集群中的 Metrics Server Pod，來提供給 ServiceMonitor 選取讓 Prometheus Server 來獲取信息。簡單的說就是 Prometheus 監控的對象，例如 Node Exporter Service、Mysql Exporter Service 等等。
- Alertmanager： Alertmanager 也是一個自定義資源類型，由 Operator 根據資源描述內容來部署 Alertmanager 集群。
kube-prometheus包含的組件：
- Prometheus Operator
- 高可用的 Prometheus 默認會部署2個pod
- 高可用的 Alertmanager
- Prometheus node-exporter
- Prometheus Adapter for Kubernetes Metrics APIs
- kube-state-metrics
- Grafana
二、結構分析
kube-prometheus相關部署文件在manifests目錄中，共65個yaml，其中setup文件夾中包含所有自定義資源配置CustomResourceDefinition（一般不用修改，也不要輕易修改），所以部署時必須先執行這個文件夾。
其中包括告警(Alertmanager)、監控(Prometheus)、監控項(PrometheusRule)這三類資源定義，所以如果你想直接在k8s中修改對應控制器配置是沒有用的（比如kubectl edit sts prometheus-k8s -n monitoring） 。
這里yaml文件看着很多，只要我們梳理一下就會很容易理解了，首先分為7個組件prometheus-operator、prometheus-adapter、prometheus、alertmanager、grafana、kube-state-metrics、node-exporter，
然后每個組件都會定義控制器、配置文件、集群權限、訪問配置、監控配置， 但是我們一般只需要進行自定義告警配置和監控項，這樣一篩選發現只需要修改幾個文件即可。
[root@ymt108 manifests]# tree
.
├── alertmanager-alertmanager.yaml
├── alertmanager-secret.yaml # 告警配置
├── alertmanager-serviceAccount.yaml
├── alertmanager-serviceMonitor.yaml
├── alertmanager-service.yaml
├── grafana-dashboardDatasources.yaml
├── grafana-dashboardDefinitions.yaml
├── grafana-dashboardSources.yaml
├── grafana-deployment.yaml
├── grafana-serviceAccount.yaml
├── grafana-serviceMonitor.yaml
├── grafana-service.yaml
├── kube-state-metrics-clusterRoleBinding.yaml
├── kube-state-metrics-clusterRole.yaml
├── kube-state-metrics-deployment.yaml
├── kube-state-metrics-roleBinding.yaml
├── kube-state-metrics-role.yaml
├── kube-state-metrics-serviceAccount.yaml
├── kube-state-metrics-serviceMonitor.yaml
├── kube-state-metrics-service.yaml
├── node-exporter-clusterRoleBinding.yaml
├── node-exporter-clusterRole.yaml
├── node-exporter-daemonset.yaml
├── node-exporter-serviceAccount.yaml
├── node-exporter-serviceMonitor.yaml
├── node-exporter-service.yaml
├── prometheus-adapter-apiService.yaml
├── prometheus-adapter-clusterRoleAggregatedMetricsReader.yaml
├── prometheus-adapter-clusterRoleBindingDelegator.yaml
├── prometheus-adapter-clusterRoleBinding.yaml
├── prometheus-adapter-clusterRoleServerResources.yaml
├── prometheus-adapter-clusterRole.yaml
├── prometheus-adapter-configMap.yaml
├── prometheus-adapter-deployment.yaml
├── prometheus-adapter-roleBindingAuthReader.yaml
├── prometheus-adapter-serviceAccount.yaml
├── prometheus-adapter-service.yaml
├── prometheus-clusterRoleBinding.yaml
├── prometheus-clusterRole.yaml
├── prometheus-operator-serviceMonitor.yaml
├── prometheus-prometheus.yaml # 監控配置
├── prometheus-roleBindingConfig.yaml
├── prometheus-roleBindingSpecificNamespaces.yaml
├── prometheus-roleConfig.yaml
├── prometheus-roleSpecificNamespaces.yaml
├── prometheus-rules.yaml # 默認監控項
├── prometheus-serviceAccount.yaml
├── prometheus-serviceMonitorApiserver.yaml
├── prometheus-serviceMonitorCoreDNS.yaml
├── prometheus-serviceMonitorKubeControllerManager.yaml
├── prometheus-serviceMonitorKubelet.yaml
├── prometheus-serviceMonitorKubeScheduler.yaml
├── prometheus-serviceMonitor.yaml
├── prometheus-service.yaml
└── setup
├── 0namespace-namespace.yaml
├── prometheus-operator-0alertmanagerCustomResourceDefinition.yaml
├── prometheus-operator-0podmonitorCustomResourceDefinition.yaml
├── prometheus-operator-0prometheusCustomResourceDefinition.yaml
├── prometheus-operator-0prometheusruleCustomResourceDefinition.yaml
├── prometheus-operator-0servicemonitorCustomResourceDefinition.yaml
├── prometheus-operator-clusterRoleBinding.yaml
├── prometheus-operator-clusterRole.yaml
├── prometheus-operator-deployment.yaml
├── prometheus-operator-serviceAccount.yaml
└── prometheus-operator-service.yaml
1 directories, 65 files
三、Prometheus配置文件修改
為了保留原始文件，建議先備份一份kube-prometheus原文件。
1、修改prometheus-prometheus.yaml，以下為修改后並經生產環境驗證過后的配置文件，根據自己的k8s集群環境進行修改
1）replicas：根據項目情況調整副本數
2）retention：修改Prometheus數據保留期限，默認值為“24h”，並且必須與正則表達式“ [0-9] +（ms | s | m | h | d | w | y）”匹配。
3）additionalScrapeConfigs：增加額外監控項配置，具體配置查看第五部分“添加k8s外部監控”。
4）storage:volumeClaimTemplate: prometheus數據持久化配置，避免prometheus重啟造成數據丟失，此處使用阿里雲Nas創建的 StorageClass，創建StorageClass相關文章https://www.cnblogs.com/lidong94/p/14518362.html
5）nodeSelector && tolerations ：節點選擇器和污點，因為prometheus查詢數據量大會導致k8s節點內存升高，如果所在節點上部署着線上服務會受到影響，故獨立將prometheus放在特定的節點中（如果不需要可以刪除）
apiVersion: monitoring.coreos.com/v1 kind: Prometheus metadata: labels: prometheus: k8s name: k8s namespace: monitoring spec: alerting: alertmanagers: - name: alertmanager-main namespace: monitoring port: web image: quay.io/prometheus/prometheus:v2.20.0 additionalScrapeConfigs: name: additional-scrape-configs key: prometheus-additional.yaml retention: 30d #修改Prometheus數據保留期限，默認值為24h,此處為保留30d， storage: volumeClaimTemplate: spec: storageClassName: alicloud-nas resources: requests: storage: 100Gi nodeSelector: zone: problem tolerations: - effect: NoSchedule key: forever operator: Equal value: problem podMonitorNamespaceSelector: {} podMonitorSelector: {} replicas: 1 #根據項目情況調整副本數，默認是2個 resources: requests: memory: 400Mi ruleSelector: matchLabels: prometheus: k8s role: alert-rules securityContext: fsGroup: 2000 runAsNonRoot: true runAsUser: 1000 serviceAccountName: prometheus-k8s serviceMonitorNamespaceSelector: {} serviceMonitorSelector: {} version: v2.20.0
2、PrometheusRule配置文件修改
首先查看默認監控項配置prometheus-rules.yaml，其中包括76個告警項，基本覆蓋了k8s常用監控點。
apiVersion: monitoring.coreos.com/v1 kind: PrometheusRule metadata: labels: prometheus: k8s role: alert-rules name: prometheus-k8s-rules namespace: monitoring spec: groups: - name: node-exporter.rules rules: - expr: | count without (cpu) ( count without (mode) ( node_cpu_seconds_total{job="node-exporter"} ) ) record: instance:node_num_cpu:sum - expr: | 1 - avg without (cpu, mode) ( rate(node_cpu_seconds_total{job="node-exporter", mode="idle"}[1m]) ) record: instance:node_cpu_utilisation:rate1m - expr: | ( node_load1{job="node-exporter"} / instance:node_num_cpu:sum{job="node-exporter"} ) record: instance:node_load1_per_cpu:ratio - expr: | 1 - ( node_memory_MemAvailable_bytes{job="node-exporter"} / node_memory_MemTotal_bytes{job="node-exporter"} ) record: instance:node_memory_utilisation:ratio - expr: | rate(node_vmstat_pgmajfault{job="node-exporter"}[1m]) record: instance:node_vmstat_pgmajfault:rate1m - expr: | rate(node_disk_io_time_seconds_total{job="node-exporter", device=~"mmcblk.p.+|nvme.+|rbd.+|sd.+|vd.+|xvd.+|dm-.+|dasd.+"}[1m]) record: instance_device:node_disk_io_time_seconds:rate1m - expr: | rate(node_disk_io_time_weighted_seconds_total{job="node-exporter", device=~"mmcblk.p.+|nvme.+|rbd.+|sd.+|vd.+|xvd.+|dm-.+|dasd.+"}[1m]) record: instance_device:node_disk_io_time_weighted_seconds:rate1m - expr: | sum without (device) ( rate(node_network_receive_bytes_total{job="node-exporter", device!="lo"}[1m]) ) record: instance:node_network_receive_bytes_excluding_lo:rate1m - expr: | sum without (device) ( rate(node_network_transmit_bytes_total{job="node-exporter", device!="lo"}[1m]) ) record: instance:node_network_transmit_bytes_excluding_lo:rate1m - expr: | sum without (device) ( rate(node_network_receive_drop_total{job="node-exporter", device!="lo"}[1m]) ) record: instance:node_network_receive_drop_excluding_lo:rate1m - expr: | sum without (device) ( rate(node_network_transmit_drop_total{job="node-exporter", device!="lo"}[1m]) ) record: instance:node_network_transmit_drop_excluding_lo:rate1m - name: kube-apiserver.rules rules: - expr: | ( ( # too slow sum(rate(apiserver_request_duration_seconds_count{job="apiserver",verb=~"LIST|GET"}[1d])) - ( ( sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope=~"resource|",le="0.1"}[1d])) or vector(0) ) + sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="namespace",le="0.5"}[1d])) + sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="cluster",le="5"}[1d])) ) ) + # errors sum(rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET",code=~"5.."}[1d])) ) / sum(rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[1d])) labels: verb: read record: apiserver_request:burnrate1d - expr: | ( ( # too slow sum(rate(apiserver_request_duration_seconds_count{job="apiserver",verb=~"LIST|GET"}[1h])) - ( ( sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope=~"resource|",le="0.1"}[1h])) or vector(0) ) + sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="namespace",le="0.5"}[1h])) + sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="cluster",le="5"}[1h])) ) ) + # errors sum(rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET",code=~"5.."}[1h])) ) / sum(rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[1h])) labels: verb: read record: apiserver_request:burnrate1h - expr: | ( ( # too slow sum(rate(apiserver_request_duration_seconds_count{job="apiserver",verb=~"LIST|GET"}[2h])) - ( ( sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope=~"resource|",le="0.1"}[2h])) or vector(0) ) + sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="namespace",le="0.5"}[2h])) + sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="cluster",le="5"}[2h])) ) ) + # errors sum(rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET",code=~"5.."}[2h])) ) / sum(rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[2h])) labels: verb: read record: apiserver_request:burnrate2h - expr: | ( ( # too slow sum(rate(apiserver_request_duration_seconds_count{job="apiserver",verb=~"LIST|GET"}[30m])) - ( ( sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope=~"resource|",le="0.1"}[30m])) or vector(0) ) + sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="namespace",le="0.5"}[30m])) + sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="cluster",le="5"}[30m])) ) ) + # errors sum(rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET",code=~"5.."}[30m])) ) / sum(rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[30m])) labels: verb: read record: apiserver_request:burnrate30m - expr: | ( ( # too slow sum(rate(apiserver_request_duration_seconds_count{job="apiserver",verb=~"LIST|GET"}[3d])) - ( ( sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope=~"resource|",le="0.1"}[3d])) or vector(0) ) + sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="namespace",le="0.5"}[3d])) + sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="cluster",le="5"}[3d])) ) ) + # errors sum(rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET",code=~"5.."}[3d])) ) / sum(rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[3d])) labels: verb: read record: apiserver_request:burnrate3d - expr: | ( ( # too slow sum(rate(apiserver_request_duration_seconds_count{job="apiserver",verb=~"LIST|GET"}[5m])) - ( ( sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope=~"resource|",le="0.1"}[5m])) or vector(0) ) + sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="namespace",le="0.5"}[5m])) + sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="cluster",le="5"}[5m])) ) ) + # errors sum(rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET",code=~"5.."}[5m])) ) / sum(rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[5m])) labels: verb: read record: apiserver_request:burnrate5m - expr: | ( ( # too slow sum(rate(apiserver_request_duration_seconds_count{job="apiserver",verb=~"LIST|GET"}[6h])) - ( ( sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope=~"resource|",le="0.1"}[6h])) or vector(0) ) + sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="namespace",le="0.5"}[6h])) + sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="cluster",le="5"}[6h])) ) ) + # errors sum(rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET",code=~"5.."}[6h])) ) / sum(rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[6h])) labels: verb: read record: apiserver_request:burnrate6h - expr: | ( ( # too slow sum(rate(apiserver_request_duration_seconds_count{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[1d])) - sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",le="1"}[1d])) ) + sum(rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",code=~"5.."}[1d])) ) / sum(rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[1d])) labels: verb: write record: apiserver_request:burnrate1d - expr: | ( ( # too slow sum(rate(apiserver_request_duration_seconds_count{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[1h])) - sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",le="1"}[1h])) ) + sum(rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",code=~"5.."}[1h])) ) / sum(rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[1h])) labels: verb: write record: apiserver_request:burnrate1h - expr: | ( ( # too slow sum(rate(apiserver_request_duration_seconds_count{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[2h])) - sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",le="1"}[2h])) ) + sum(rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",code=~"5.."}[2h])) ) / sum(rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[2h])) labels: verb: write record: apiserver_request:burnrate2h - expr: | ( ( # too slow sum(rate(apiserver_request_duration_seconds_count{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[30m])) - sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",le="1"}[30m])) ) + sum(rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",code=~"5.."}[30m])) ) / sum(rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[30m])) labels: verb: write record: apiserver_request:burnrate30m - expr: | ( ( # too slow sum(rate(apiserver_request_duration_seconds_count{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[3d])) - sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",le="1"}[3d])) ) + sum(rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",code=~"5.."}[3d])) ) / sum(rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[3d])) labels: verb: write record: apiserver_request:burnrate3d - expr: | ( ( # too slow sum(rate(apiserver_request_duration_seconds_count{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[5m])) - sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",le="1"}[5m])) ) + sum(rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",code=~"5.."}[5m])) ) / sum(rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[5m])) labels: verb: write record: apiserver_request:burnrate5m - expr: | ( ( # too slow sum(rate(apiserver_request_duration_seconds_count{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[6h])) - sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",le="1"}[6h])) ) + sum(rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",code=~"5.."}[6h])) ) / sum(rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[6h])) labels: verb: write record: apiserver_request:burnrate6h - expr: | sum by (code,resource) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[5m])) labels: verb: read record: code_resource:apiserver_request_total:rate5m - expr: | sum by (code,resource) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[5m])) labels: verb: write record: code_resource:apiserver_request_total:rate5m - expr: | histogram_quantile(0.99, sum by (le, resource) (rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET"}[5m]))) > 0 labels: quantile: "0.99" verb: read record: cluster_quantile:apiserver_request_duration_seconds:histogram_quantile - expr: | histogram_quantile(0.99, sum by (le, resource) (rate(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[5m]))) > 0 labels: quantile: "0.99" verb: write record: cluster_quantile:apiserver_request_duration_seconds:histogram_quantile - expr: | sum(rate(apiserver_request_duration_seconds_sum{subresource!="log",verb!~"LIST|WATCH|WATCHLIST|DELETECOLLECTION|PROXY|CONNECT"}[5m])) without(instance, pod) / sum(rate(apiserver_request_duration_seconds_count{subresource!="log",verb!~"LIST|WATCH|WATCHLIST|DELETECOLLECTION|PROXY|CONNECT"}[5m])) without(instance, pod) record: cluster:apiserver_request_duration_seconds:mean5m - expr: | histogram_quantile(0.99, sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",subresource!="log",verb!~"LIST|WATCH|WATCHLIST|DELETECOLLECTION|PROXY|CONNECT"}[5m])) without(instance, pod)) labels: quantile: "0.99" record: cluster_quantile:apiserver_request_duration_seconds:histogram_quantile - expr: | histogram_quantile(0.9, sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",subresource!="log",verb!~"LIST|WATCH|WATCHLIST|DELETECOLLECTION|PROXY|CONNECT"}[5m])) without(instance, pod)) labels: quantile: "0.9" record: cluster_quantile:apiserver_request_duration_seconds:histogram_quantile - expr: | histogram_quantile(0.5, sum(rate(apiserver_request_duration_seconds_bucket{job="apiserver",subresource!="log",verb!~"LIST|WATCH|WATCHLIST|DELETECOLLECTION|PROXY|CONNECT"}[5m])) without(instance, pod)) labels: quantile: "0.5" record: cluster_quantile:apiserver_request_duration_seconds:histogram_quantile - interval: 3m name: kube-apiserver-availability.rules rules: - expr: | 1 - ( ( # write too slow sum(increase(apiserver_request_duration_seconds_count{verb=~"POST|PUT|PATCH|DELETE"}[30d])) - sum(increase(apiserver_request_duration_seconds_bucket{verb=~"POST|PUT|PATCH|DELETE",le="1"}[30d])) ) + ( # read too slow sum(increase(apiserver_request_duration_seconds_count{verb=~"LIST|GET"}[30d])) - ( ( sum(increase(apiserver_request_duration_seconds_bucket{verb=~"LIST|GET",scope=~"resource|",le="0.1"}[30d])) or vector(0) ) + sum(increase(apiserver_request_duration_seconds_bucket{verb=~"LIST|GET",scope="namespace",le="0.5"}[30d])) + sum(increase(apiserver_request_duration_seconds_bucket{verb=~"LIST|GET",scope="cluster",le="5"}[30d])) ) ) + # errors sum(code:apiserver_request_total:increase30d{code=~"5.."} or vector(0)) ) / sum(code:apiserver_request_total:increase30d) labels: verb: all record: apiserver_request:availability30d - expr: | 1 - ( sum(increase(apiserver_request_duration_seconds_count{job="apiserver",verb=~"LIST|GET"}[30d])) - ( # too slow ( sum(increase(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope=~"resource|",le="0.1"}[30d])) or vector(0) ) + sum(increase(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="namespace",le="0.5"}[30d])) + sum(increase(apiserver_request_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",scope="cluster",le="5"}[30d])) ) + # errors sum(code:apiserver_request_total:increase30d{verb="read",code=~"5.."} or vector(0)) ) / sum(code:apiserver_request_total:increase30d{verb="read"}) labels: verb: read record: apiserver_request:availability30d - expr: | 1 - ( ( # too slow sum(increase(apiserver_request_duration_seconds_count{verb=~"POST|PUT|PATCH|DELETE"}[30d])) - sum(increase(apiserver_request_duration_seconds_bucket{verb=~"POST|PUT|PATCH|DELETE",le="1"}[30d])) ) + # errors sum(code:apiserver_request_total:increase30d{verb="write",code=~"5.."} or vector(0)) ) / sum(code:apiserver_request_total:increase30d{verb="write"}) labels: verb: write record: apiserver_request:availability30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="LIST",code=~"2.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="GET",code=~"2.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="POST",code=~"2.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="PUT",code=~"2.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="PATCH",code=~"2.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="DELETE",code=~"2.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="LIST",code=~"3.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="GET",code=~"3.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="POST",code=~"3.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="PUT",code=~"3.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="PATCH",code=~"3.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="DELETE",code=~"3.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="LIST",code=~"4.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="GET",code=~"4.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="POST",code=~"4.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="PUT",code=~"4.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="PATCH",code=~"4.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="DELETE",code=~"4.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="LIST",code=~"5.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="GET",code=~"5.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="POST",code=~"5.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="PUT",code=~"5.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="PATCH",code=~"5.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code, verb) (increase(apiserver_request_total{job="apiserver",verb="DELETE",code=~"5.."}[30d])) record: code_verb:apiserver_request_total:increase30d - expr: | sum by (code) (code_verb:apiserver_request_total:increase30d{verb=~"LIST|GET"}) labels: verb: read record: code:apiserver_request_total:increase30d - expr: | sum by (code) (code_verb:apiserver_request_total:increase30d{verb=~"POST|PUT|PATCH|DELETE"}) labels: verb: write record: code:apiserver_request_total:increase30d - name: k8s.rules rules: - expr: | sum(rate(container_cpu_usage_seconds_total{job="kubelet", metrics_path="/metrics/cadvisor", image!="", container!="POD"}[5m])) by (namespace) record: namespace:container_cpu_usage_seconds_total:sum_rate - expr: | sum by (cluster, namespace, pod, container) ( rate(container_cpu_usage_seconds_total{job="kubelet", metrics_path="/metrics/cadvisor", image!="", container!="POD"}[5m]) ) * on (cluster, namespace, pod) group_left(node) topk by (cluster, namespace, pod) ( 1, max by(cluster, namespace, pod, node) (kube_pod_info{node!=""}) ) record: node_namespace_pod_container:container_cpu_usage_seconds_total:sum_rate - expr: | container_memory_working_set_bytes{job="kubelet", metrics_path="/metrics/cadvisor", image!=""} * on (namespace, pod) group_left(node) topk by(namespace, pod) (1, max by(namespace, pod, node) (kube_pod_info{node!=""}) ) record: node_namespace_pod_container:container_memory_working_set_bytes - expr: | container_memory_rss{job="kubelet", metrics_path="/metrics/cadvisor", image!=""} * on (namespace, pod) group_left(node) topk by(namespace, pod) (1, max by(namespace, pod, node) (kube_pod_info{node!=""}) ) record: node_namespace_pod_container:container_memory_rss - expr: | container_memory_cache{job="kubelet", metrics_path="/metrics/cadvisor", image!=""} * on (namespace, pod) group_left(node) topk by(namespace, pod) (1, max by(namespace, pod, node) (kube_pod_info{node!=""}) ) record: node_namespace_pod_container:container_memory_cache - expr: | container_memory_swap{job="kubelet", metrics_path="/metrics/cadvisor", image!=""} * on (namespace, pod) group_left(node) topk by(namespace, pod) (1, max by(namespace, pod, node) (kube_pod_info{node!=""}) ) record: node_namespace_pod_container:container_memory_swap - expr: | sum(container_memory_usage_bytes{job="kubelet", metrics_path="/metrics/cadvisor", image!="", container!="POD"}) by (namespace) record: namespace:container_memory_usage_bytes:sum - expr: | sum by (namespace) ( sum by (namespace, pod) ( max by (namespace, pod, container) ( kube_pod_container_resource_requests_memory_bytes{job="kube-state-metrics"} ) * on(namespace, pod) group_left() max by (namespace, pod) ( kube_pod_status_phase{phase=~"Pending|Running"} == 1 ) ) ) record: namespace:kube_pod_container_resource_requests_memory_bytes:sum - expr: | sum by (namespace) ( sum by (namespace, pod) ( max by (namespace, pod, container) ( kube_pod_container_resource_requests_cpu_cores{job="kube-state-metrics"} ) * on(namespace, pod) group_left() max by (namespace, pod) ( kube_pod_status_phase{phase=~"Pending|Running"} == 1 ) ) ) record: namespace:kube_pod_container_resource_requests_cpu_cores:sum - expr: | max by (cluster, namespace, workload, pod) ( label_replace( label_replace( kube_pod_owner{job="kube-state-metrics", owner_kind="ReplicaSet"}, "replicaset", "$1", "owner_name", "(.*)" ) * on(replicaset, namespace) group_left(owner_name) topk by(replicaset, namespace) ( 1, max by (replicaset, namespace, owner_name) ( kube_replicaset_owner{job="kube-state-metrics"} ) ), "workload", "$1", "owner_name", "(.*)" ) ) labels: workload_type: deployment record: namespace_workload_pod:kube_pod_owner:relabel - expr: | max by (cluster, namespace, workload, pod) ( label_replace( kube_pod_owner{job="kube-state-metrics", owner_kind="DaemonSet"}, "workload", "$1", "owner_name", "(.*)" ) ) labels: workload_type: daemonset record: namespace_workload_pod:kube_pod_owner:relabel - expr: | max by (cluster, namespace, workload, pod) ( label_replace( kube_pod_owner{job="kube-state-metrics", owner_kind="StatefulSet"}, "workload", "$1", "owner_name", "(.*)" ) ) labels: workload_type: statefulset record: namespace_workload_pod:kube_pod_owner:relabel - name: kube-scheduler.rules rules: - expr: | histogram_quantile(0.99, sum(rate(scheduler_e2e_scheduling_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) labels: quantile: "0.99" record: cluster_quantile:scheduler_e2e_scheduling_duration_seconds:histogram_quantile - expr: | histogram_quantile(0.99, sum(rate(scheduler_scheduling_algorithm_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) labels: quantile: "0.99" record: cluster_quantile:scheduler_scheduling_algorithm_duration_seconds:histogram_quantile - expr: | histogram_quantile(0.99, sum(rate(scheduler_binding_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) labels: quantile: "0.99" record: cluster_quantile:scheduler_binding_duration_seconds:histogram_quantile - expr: | histogram_quantile(0.9, sum(rate(scheduler_e2e_scheduling_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) labels: quantile: "0.9" record: cluster_quantile:scheduler_e2e_scheduling_duration_seconds:histogram_quantile - expr: | histogram_quantile(0.9, sum(rate(scheduler_scheduling_algorithm_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) labels: quantile: "0.9" record: cluster_quantile:scheduler_scheduling_algorithm_duration_seconds:histogram_quantile - expr: | histogram_quantile(0.9, sum(rate(scheduler_binding_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) labels: quantile: "0.9" record: cluster_quantile:scheduler_binding_duration_seconds:histogram_quantile - expr: | histogram_quantile(0.5, sum(rate(scheduler_e2e_scheduling_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) labels: quantile: "0.5" record: cluster_quantile:scheduler_e2e_scheduling_duration_seconds:histogram_quantile - expr: | histogram_quantile(0.5, sum(rate(scheduler_scheduling_algorithm_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) labels: quantile: "0.5" record: cluster_quantile:scheduler_scheduling_algorithm_duration_seconds:histogram_quantile - expr: | histogram_quantile(0.5, sum(rate(scheduler_binding_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) labels: quantile: "0.5" record: cluster_quantile:scheduler_binding_duration_seconds:histogram_quantile - name: node.rules rules: - expr: | sum(min(kube_pod_info{node!=""}) by (cluster, node)) record: ':kube_pod_info_node_count:' - expr: | topk by(namespace, pod) (1, max by (node, namespace, pod) ( label_replace(kube_pod_info{job="kube-state-metrics",node!=""}, "pod", "$1", "pod", "(.*)") )) record: 'node_namespace_pod:kube_pod_info:' - expr: | count by (cluster, 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: | sum( node_memory_MemAvailable_bytes{job="node-exporter"} or ( node_memory_Buffers_bytes{job="node-exporter"} + node_memory_Cached_bytes{job="node-exporter"} + node_memory_MemFree_bytes{job="node-exporter"} + node_memory_Slab_bytes{job="node-exporter"} ) ) by (cluster) record: :node_memory_MemAvailable_bytes:sum - name: kubelet.rules rules: - expr: | histogram_quantile(0.99, sum(rate(kubelet_pleg_relist_duration_seconds_bucket[5m])) by (instance, le) * on(instance) group_left(node) kubelet_node_name{job="kubelet", metrics_path="/metrics"}) labels: quantile: "0.99" record: node_quantile:kubelet_pleg_relist_duration_seconds:histogram_quantile - expr: | histogram_quantile(0.9, sum(rate(kubelet_pleg_relist_duration_seconds_bucket[5m])) by (instance, le) * on(instance) group_left(node) kubelet_node_name{job="kubelet", metrics_path="/metrics"}) labels: quantile: "0.9" record: node_quantile:kubelet_pleg_relist_duration_seconds:histogram_quantile - expr: | histogram_quantile(0.5, sum(rate(kubelet_pleg_relist_duration_seconds_bucket[5m])) by (instance, le) * on(instance) group_left(node) kubelet_node_name{job="kubelet", metrics_path="/metrics"}) labels: quantile: "0.5" record: node_quantile:kubelet_pleg_relist_duration_seconds:histogram_quantile - name: kube-prometheus-node-recording.rules rules: - expr: sum(rate(node_cpu_seconds_total{mode!="idle",mode!="iowait",mode!="steal"}[3m])) BY (instance) record: instance:node_cpu:rate: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",mode!="steal"}[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",mode!="steal"}[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: kube-prometheus-general.rules rules: - expr: count without(instance, pod, node) (up == 1) record: count:up1 - expr: count without(instance, pod, node) (up == 0) record: count:up0 - name: kube-state-metrics rules: - alert: KubeStateMetricsListErrors annotations: description: kube-state-metrics is experiencing errors at an elevated rate in list operations. This is likely causing it to not be able to expose metrics about Kubernetes objects correctly or at all. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubestatemetricslisterrors summary: kube-state-metrics is experiencing errors in list operations. expr: | (sum(rate(kube_state_metrics_list_total{job="kube-state-metrics",result="error"}[5m])) / sum(rate(kube_state_metrics_list_total{job="kube-state-metrics"}[5m]))) > 0.01 for: 15m labels: severity: critical - alert: KubeStateMetricsWatchErrors annotations: description: kube-state-metrics is experiencing errors at an elevated rate in watch operations. This is likely causing it to not be able to expose metrics about Kubernetes objects correctly or at all. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubestatemetricswatcherrors summary: kube-state-metrics is experiencing errors in watch operations. expr: | (sum(rate(kube_state_metrics_watch_total{job="kube-state-metrics",result="error"}[5m])) / sum(rate(kube_state_metrics_watch_total{job="kube-state-metrics"}[5m]))) > 0.01 for: 15m labels: severity: critical - name: node-exporter rules: - alert: NodeFilesystemSpaceFillingUp annotations: description: Filesystem on {{ $labels.device }} at {{ $labels.instance }} has only {{ printf "%.2f" $value }}% available space left and is filling up. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/nodefilesystemspacefillingup summary: Filesystem is predicted to run out of space within the next 24 hours. expr: | ( node_filesystem_avail_bytes{job="node-exporter",fstype!=""} / node_filesystem_size_bytes{job="node-exporter",fstype!=""} * 100 < 40 and predict_linear(node_filesystem_avail_bytes{job="node-exporter",fstype!=""}[6h], 24*60*60) < 0 and node_filesystem_readonly{job="node-exporter",fstype!=""} == 0 ) for: 1h labels: severity: warning - alert: NodeFilesystemSpaceFillingUp annotations: description: Filesystem on {{ $labels.device }} at {{ $labels.instance }} has only {{ printf "%.2f" $value }}% available space left and is filling up fast. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/nodefilesystemspacefillingup summary: Filesystem is predicted to run out of space within the next 4 hours. expr: | ( node_filesystem_avail_bytes{job="node-exporter",fstype!=""} / node_filesystem_size_bytes{job="node-exporter",fstype!=""} * 100 < 15 and predict_linear(node_filesystem_avail_bytes{job="node-exporter",fstype!=""}[6h], 4*60*60) < 0 and node_filesystem_readonly{job="node-exporter",fstype!=""} == 0 ) for: 1h labels: severity: critical - alert: NodeFilesystemAlmostOutOfSpace annotations: description: Filesystem on {{ $labels.device }} at {{ $labels.instance }} has only {{ printf "%.2f" $value }}% available space left. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/nodefilesystemalmostoutofspace summary: Filesystem has less than 5% space left. expr: | ( node_filesystem_avail_bytes{job="node-exporter",fstype!=""} / node_filesystem_size_bytes{job="node-exporter",fstype!=""} * 100 < 5 and node_filesystem_readonly{job="node-exporter",fstype!=""} == 0 ) for: 1h labels: severity: warning - alert: NodeFilesystemAlmostOutOfSpace annotations: description: Filesystem on {{ $labels.device }} at {{ $labels.instance }} has only {{ printf "%.2f" $value }}% available space left. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/nodefilesystemalmostoutofspace summary: Filesystem has less than 3% space left. expr: | ( node_filesystem_avail_bytes{job="node-exporter",fstype!=""} / node_filesystem_size_bytes{job="node-exporter",fstype!=""} * 100 < 3 and node_filesystem_readonly{job="node-exporter",fstype!=""} == 0 ) for: 1h labels: severity: critical - alert: NodeFilesystemFilesFillingUp annotations: description: Filesystem on {{ $labels.device }} at {{ $labels.instance }} has only {{ printf "%.2f" $value }}% available inodes left and is filling up. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/nodefilesystemfilesfillingup summary: Filesystem is predicted to run out of inodes within the next 24 hours. expr: | ( node_filesystem_files_free{job="node-exporter",fstype!=""} / node_filesystem_files{job="node-exporter",fstype!=""} * 100 < 40 and predict_linear(node_filesystem_files_free{job="node-exporter",fstype!=""}[6h], 24*60*60) < 0 and node_filesystem_readonly{job="node-exporter",fstype!=""} == 0 ) for: 1h labels: severity: warning - alert: NodeFilesystemFilesFillingUp annotations: description: Filesystem on {{ $labels.device }} at {{ $labels.instance }} has only {{ printf "%.2f" $value }}% available inodes left and is filling up fast. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/nodefilesystemfilesfillingup summary: Filesystem is predicted to run out of inodes within the next 4 hours. expr: | ( node_filesystem_files_free{job="node-exporter",fstype!=""} / node_filesystem_files{job="node-exporter",fstype!=""} * 100 < 20 and predict_linear(node_filesystem_files_free{job="node-exporter",fstype!=""}[6h], 4*60*60) < 0 and node_filesystem_readonly{job="node-exporter",fstype!=""} == 0 ) for: 1h labels: severity: critical - alert: NodeFilesystemAlmostOutOfFiles annotations: description: Filesystem on {{ $labels.device }} at {{ $labels.instance }} has only {{ printf "%.2f" $value }}% available inodes left. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/nodefilesystemalmostoutoffiles summary: Filesystem has less than 5% inodes left. expr: | ( node_filesystem_files_free{job="node-exporter",fstype!=""} / node_filesystem_files{job="node-exporter",fstype!=""} * 100 < 5 and node_filesystem_readonly{job="node-exporter",fstype!=""} == 0 ) for: 1h labels: severity: warning - alert: NodeFilesystemAlmostOutOfFiles annotations: description: Filesystem on {{ $labels.device }} at {{ $labels.instance }} has only {{ printf "%.2f" $value }}% available inodes left. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/nodefilesystemalmostoutoffiles summary: Filesystem has less than 3% inodes left. expr: | ( node_filesystem_files_free{job="node-exporter",fstype!=""} / node_filesystem_files{job="node-exporter",fstype!=""} * 100 < 3 and node_filesystem_readonly{job="node-exporter",fstype!=""} == 0 ) for: 1h labels: severity: critical - alert: NodeNetworkReceiveErrs annotations: description: '{{ $labels.instance }} interface {{ $labels.device }} has encountered {{ printf "%.0f" $value }} receive errors in the last two minutes.' runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/nodenetworkreceiveerrs summary: Network interface is reporting many receive errors. expr: | rate(node_network_receive_errs_total[2m]) / rate(node_network_receive_packets_total[2m]) > 0.01 for: 1h labels: severity: warning - alert: NodeNetworkTransmitErrs annotations: description: '{{ $labels.instance }} interface {{ $labels.device }} has encountered {{ printf "%.0f" $value }} transmit errors in the last two minutes.' runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/nodenetworktransmiterrs summary: Network interface is reporting many transmit errors. expr: | rate(node_network_transmit_errs_total[2m]) / rate(node_network_transmit_packets_total[2m]) > 0.01 for: 1h labels: severity: warning - alert: NodeHighNumberConntrackEntriesUsed annotations: description: '{{ $value | humanizePercentage }} of conntrack entries are used.' runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/nodehighnumberconntrackentriesused summary: Number of conntrack are getting close to the limit. expr: | (node_nf_conntrack_entries / node_nf_conntrack_entries_limit) > 0.75 labels: severity: warning - alert: NodeTextFileCollectorScrapeError annotations: description: Node Exporter text file collector failed to scrape. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/nodetextfilecollectorscrapeerror summary: Node Exporter text file collector failed to scrape. expr: | node_textfile_scrape_error{job="node-exporter"} == 1 labels: severity: warning - alert: NodeClockSkewDetected annotations: message: Clock on {{ $labels.instance }} is out of sync by more than 300s. Ensure NTP is configured correctly on this host. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/nodeclockskewdetected summary: Clock skew detected. expr: | ( node_timex_offset_seconds > 0.05 and deriv(node_timex_offset_seconds[5m]) >= 0 ) or ( node_timex_offset_seconds < -0.05 and deriv(node_timex_offset_seconds[5m]) <= 0 ) for: 10m labels: severity: warning - alert: NodeClockNotSynchronising annotations: message: Clock on {{ $labels.instance }} is not synchronising. Ensure NTP is configured on this host. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/nodeclocknotsynchronising summary: Clock not synchronising. expr: | min_over_time(node_timex_sync_status[5m]) == 0 and node_timex_maxerror_seconds >= 16 for: 10m labels: severity: warning - alert: NodeRAIDDegraded annotations: description: RAID array '{{ $labels.device }}' on {{ $labels.instance }} is in degraded state due to one or more disks failures. Number of spare drives is insufficient to fix issue automatically. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/noderaiddegraded summary: RAID Array is degraded expr: | node_md_disks_required - ignoring (state) (node_md_disks{state="active"}) > 0 for: 15m labels: severity: critical - alert: NodeRAIDDiskFailure annotations: description: At least one device in RAID array on {{ $labels.instance }} failed. Array '{{ $labels.device }}' needs attention and possibly a disk swap. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/noderaiddiskfailure summary: Failed device in RAID array expr: | node_md_disks{state="fail"} > 0 labels: severity: warning - name: prometheus-operator rules: - alert: PrometheusOperatorListErrors annotations: description: Errors while performing List operations in controller {{$labels.controller}} in {{$labels.namespace}} namespace. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/prometheusoperatorlisterrors summary: Errors while performing list operations in controller. expr: | (sum by (controller,namespace) (rate(prometheus_operator_list_operations_failed_total{job="prometheus-operator",namespace="monitoring"}[10m])) / sum by (controller,namespace) (rate(prometheus_operator_list_operations_total{job="prometheus-operator",namespace="monitoring"}[10m]))) > 0.4 for: 15m labels: severity: warning - alert: PrometheusOperatorWatchErrors annotations: description: Errors while performing watch operations in controller {{$labels.controller}} in {{$labels.namespace}} namespace. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/prometheusoperatorwatcherrors summary: Errors while performing watch operations in controller. expr: | (sum by (controller,namespace) (rate(prometheus_operator_watch_operations_failed_total{job="prometheus-operator",namespace="monitoring"}[10m])) / sum by (controller,namespace) (rate(prometheus_operator_watch_operations_total{job="prometheus-operator",namespace="monitoring"}[10m]))) > 0.4 for: 15m labels: severity: warning - alert: PrometheusOperatorSyncFailed annotations: description: Controller {{ $labels.controller }} in {{ $labels.namespace }} namespace fails to reconcile {{ $value }} objects. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/prometheusoperatorsyncfailed summary: Last controller reconciliation failed expr: | min_over_time(prometheus_operator_syncs{status="failed",job="prometheus-operator",namespace="monitoring"}[5m]) > 0 for: 10m labels: severity: warning - alert: PrometheusOperatorReconcileErrors annotations: description: '{{ $value | humanizePercentage }} of reconciling operations failed for {{ $labels.controller }} controller in {{ $labels.namespace }} namespace.' runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/prometheusoperatorreconcileerrors summary: Errors while reconciling controller. expr: | (sum by (controller,namespace) (rate(prometheus_operator_reconcile_errors_total{job="prometheus-operator",namespace="monitoring"}[5m]))) / (sum by (controller,namespace) (rate(prometheus_operator_reconcile_operations_total{job="prometheus-operator",namespace="monitoring"}[5m]))) > 0.1 for: 10m labels: severity: warning - alert: PrometheusOperatorNodeLookupErrors annotations: description: Errors while reconciling Prometheus in {{ $labels.namespace }} Namespace. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/prometheusoperatornodelookuperrors summary: Errors while reconciling Prometheus. expr: | rate(prometheus_operator_node_address_lookup_errors_total{job="prometheus-operator",namespace="monitoring"}[5m]) > 0.1 for: 10m labels: severity: warning - alert: PrometheusOperatorNotReady annotations: description: Prometheus operator in {{ $labels.namespace }} namespace isn't ready to reconcile {{ $labels.controller }} resources. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/prometheusoperatornotready summary: Prometheus operator not ready expr: | min by(namespace, controller) (max_over_time(prometheus_operator_ready{job="prometheus-operator",namespace="monitoring"}[5m]) == 0) for: 5m labels: severity: warning - alert: PrometheusOperatorRejectedResources annotations: description: Prometheus operator in {{ $labels.namespace }} namespace rejected {{ printf "%0.0f" $value }} {{ $labels.controller }}/{{ $labels.resource }} resources. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/prometheusoperatorrejectedresources summary: Resources rejected by Prometheus operator expr: | min_over_time(prometheus_operator_managed_resources{state="rejected",job="prometheus-operator",namespace="monitoring"}[5m]) > 0 for: 5m labels: severity: warning - name: kubernetes-apps rules: - alert: KubePodCrashLooping annotations: description: Pod {{ $labels.namespace }}/{{ $labels.pod }} ({{ $labels.container }}) is restarting {{ printf "%.2f" $value }} times / 5 minutes. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubepodcrashlooping summary: Pod is crash looping. expr: | rate(kube_pod_container_status_restarts_total{job="kube-state-metrics"}[5m]) * 60 * 5 > 0 for: 15m labels: severity: warning - alert: KubePodNotReady annotations: description: Pod {{ $labels.namespace }}/{{ $labels.pod }} has been in a non-ready state for longer than 15 minutes. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubepodnotready summary: Pod has been in a non-ready state for more than 15 minutes. expr: | sum by (namespace, pod) ( max by(namespace, pod) ( kube_pod_status_phase{job="kube-state-metrics", phase=~"Pending|Unknown"} ) * on(namespace, pod) group_left(owner_kind) topk by(namespace, pod) ( 1, max by(namespace, pod, owner_kind) (kube_pod_owner{owner_kind!="Job"}) ) ) > 0 for: 15m labels: severity: warning - alert: KubeDeploymentGenerationMismatch annotations: description: 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/prometheus-operator/kube-prometheus/wiki/kubedeploymentgenerationmismatch summary: Deployment generation mismatch due to possible roll-back expr: | kube_deployment_status_observed_generation{job="kube-state-metrics"} != kube_deployment_metadata_generation{job="kube-state-metrics"} for: 15m labels: severity: warning - alert: KubeDeploymentReplicasMismatch annotations: description: Deployment {{ $labels.namespace }}/{{ $labels.deployment }} has not matched the expected number of replicas for longer than 15 minutes. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubedeploymentreplicasmismatch summary: Deployment has not matched the expected number of replicas. expr: | ( kube_deployment_spec_replicas{job="kube-state-metrics"} != kube_deployment_status_replicas_available{job="kube-state-metrics"} ) and ( changes(kube_deployment_status_replicas_updated{job="kube-state-metrics"}[5m]) == 0 ) for: 15m labels: severity: warning - alert: KubeStatefulSetReplicasMismatch annotations: description: StatefulSet {{ $labels.namespace }}/{{ $labels.statefulset }} has not matched the expected number of replicas for longer than 15 minutes. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubestatefulsetreplicasmismatch summary: Deployment has not matched the expected number of replicas. expr: | ( kube_statefulset_status_replicas_ready{job="kube-state-metrics"} != kube_statefulset_status_replicas{job="kube-state-metrics"} ) and ( changes(kube_statefulset_status_replicas_updated{job="kube-state-metrics"}[5m]) == 0 ) for: 15m labels: severity: warning - alert: KubeStatefulSetGenerationMismatch annotations: description: 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/prometheus-operator/kube-prometheus/wiki/kubestatefulsetgenerationmismatch summary: StatefulSet generation mismatch due to possible roll-back expr: | kube_statefulset_status_observed_generation{job="kube-state-metrics"} != kube_statefulset_metadata_generation{job="kube-state-metrics"} for: 15m labels: severity: warning - alert: KubeStatefulSetUpdateNotRolledOut annotations: description: StatefulSet {{ $labels.namespace }}/{{ $labels.statefulset }} update has not been rolled out. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubestatefulsetupdatenotrolledout summary: StatefulSet update has not been rolled out. 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"} ) ) and ( changes(kube_statefulset_status_replicas_updated{job="kube-state-metrics"}[5m]) == 0 ) for: 15m labels: severity: warning - alert: KubeDaemonSetRolloutStuck annotations: description: DaemonSet {{ $labels.namespace }}/{{ $labels.daemonset }} has not finished or progressed for at least 15 minutes. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubedaemonsetrolloutstuck summary: DaemonSet rollout is stuck. expr: | ( ( kube_daemonset_status_current_number_scheduled{job="kube-state-metrics"} != kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics"} ) or ( kube_daemonset_status_number_misscheduled{job="kube-state-metrics"} != 0 ) or ( kube_daemonset_updated_number_scheduled{job="kube-state-metrics"} != kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics"} ) or ( kube_daemonset_status_number_available{job="kube-state-metrics"} != kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics"} ) ) and ( changes(kube_daemonset_updated_number_scheduled{job="kube-state-metrics"}[5m]) == 0 ) for: 15m labels: severity: warning - alert: KubeContainerWaiting annotations: description: Pod {{ $labels.namespace }}/{{ $labels.pod }} container {{ $labels.container}} has been in waiting state for longer than 1 hour. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubecontainerwaiting summary: Pod container waiting longer than 1 hour expr: | sum by (namespace, pod, container) (kube_pod_container_status_waiting_reason{job="kube-state-metrics"}) > 0 for: 1h labels: severity: warning - alert: KubeDaemonSetNotScheduled annotations: description: '{{ $value }} Pods of DaemonSet {{ $labels.namespace }}/{{ $labels.daemonset }} are not scheduled.' runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubedaemonsetnotscheduled summary: DaemonSet pods are not scheduled. 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: description: '{{ $value }} Pods of DaemonSet {{ $labels.namespace }}/{{ $labels.daemonset }} are running where they are not supposed to run.' runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubedaemonsetmisscheduled summary: DaemonSet pods are misscheduled. expr: | kube_daemonset_status_number_misscheduled{job="kube-state-metrics"} > 0 for: 15m labels: severity: warning - alert: KubeJobCompletion annotations: description: Job {{ $labels.namespace }}/{{ $labels.job_name }} is taking more than 12 hours to complete. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubejobcompletion summary: Job did not complete in time expr: | kube_job_spec_completions{job="kube-state-metrics"} - kube_job_status_succeeded{job="kube-state-metrics"} > 0 for: 12h labels: severity: warning - alert: KubeJobFailed annotations: description: Job {{ $labels.namespace }}/{{ $labels.job_name }} failed to complete. Removing failed job after investigation should clear this alert. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubejobfailed summary: Job failed to complete. expr: | kube_job_failed{job="kube-state-metrics"} > 0 for: 15m labels: severity: warning - alert: KubeHpaReplicasMismatch annotations: description: HPA {{ $labels.namespace }}/{{ $labels.hpa }} has not matched the desired number of replicas for longer than 15 minutes. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubehpareplicasmismatch summary: HPA has not matched descired number of replicas. expr: | (kube_hpa_status_desired_replicas{job="kube-state-metrics"} != kube_hpa_status_current_replicas{job="kube-state-metrics"}) and changes(kube_hpa_status_current_replicas[15m]) == 0 for: 15m labels: severity: warning - alert: KubeHpaMaxedOut annotations: description: HPA {{ $labels.namespace }}/{{ $labels.hpa }} has been running at max replicas for longer than 15 minutes. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubehpamaxedout summary: HPA is running at max replicas expr: | kube_hpa_status_current_replicas{job="kube-state-metrics"} == kube_hpa_spec_max_replicas{job="kube-state-metrics"} for: 15m labels: severity: warning - name: kubernetes-resources rules: - alert: KubeCPUOvercommit annotations: description: Cluster has overcommitted CPU resource requests for Pods and cannot tolerate node failure. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubecpuovercommit summary: Cluster has overcommitted CPU resource requests. expr: | sum(namespace:kube_pod_container_resource_requests_cpu_cores:sum{}) / sum(kube_node_status_allocatable_cpu_cores) > (count(kube_node_status_allocatable_cpu_cores)-1) / count(kube_node_status_allocatable_cpu_cores) for: 5m labels: severity: warning - alert: KubeMemoryOvercommit annotations: description: Cluster has overcommitted memory resource requests for Pods and cannot tolerate node failure. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubememoryovercommit summary: Cluster has overcommitted memory resource requests. expr: | sum(namespace:kube_pod_container_resource_requests_memory_bytes:sum{}) / sum(kube_node_status_allocatable_memory_bytes) > (count(kube_node_status_allocatable_memory_bytes)-1) / count(kube_node_status_allocatable_memory_bytes) for: 5m labels: severity: warning - alert: KubeCPUQuotaOvercommit annotations: description: Cluster has overcommitted CPU resource requests for Namespaces. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubecpuquotaovercommit summary: Cluster has overcommitted CPU resource requests. expr: | sum(kube_resourcequota{job="kube-state-metrics", type="hard", resource="cpu"}) / sum(kube_node_status_allocatable_cpu_cores) > 1.5 for: 5m labels: severity: warning - alert: KubeMemoryQuotaOvercommit annotations: description: Cluster has overcommitted memory resource requests for Namespaces. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubememoryquotaovercommit summary: Cluster has overcommitted memory resource requests. expr: | sum(kube_resourcequota{job="kube-state-metrics", type="hard", resource="memory"}) / sum(kube_node_status_allocatable_memory_bytes{job="node-exporter"}) > 1.5 for: 5m labels: severity: warning - alert: KubeQuotaAlmostFull annotations: description: Namespace {{ $labels.namespace }} is using {{ $value | humanizePercentage }} of its {{ $labels.resource }} quota. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubequotaalmostfull summary: Namespace quota is going to be full. expr: | kube_resourcequota{job="kube-state-metrics", type="used"} / ignoring(instance, job, type) (kube_resourcequota{job="kube-state-metrics", type="hard"} > 0) > 0.9 < 1 for: 15m labels: severity: info - alert: KubeQuotaFullyUsed annotations: description: Namespace {{ $labels.namespace }} is using {{ $value | humanizePercentage }} of its {{ $labels.resource }} quota. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubequotafullyused summary: Namespace quota is fully used. expr: | kube_resourcequota{job="kube-state-metrics", type="used"} / ignoring(instance, job, type) (kube_resourcequota{job="kube-state-metrics", type="hard"} > 0) == 1 for: 15m labels: severity: info - alert: KubeQuotaExceeded annotations: description: Namespace {{ $labels.namespace }} is using {{ $value | humanizePercentage }} of its {{ $labels.resource }} quota. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubequotaexceeded summary: Namespace quota has exceeded the limits. expr: | kube_resourcequota{job="kube-state-metrics", type="used"} / ignoring(instance, job, type) (kube_resourcequota{job="kube-state-metrics", type="hard"} > 0) > 1 for: 15m labels: severity: warning - alert: CPUThrottlingHigh annotations: description: '{{ $value | humanizePercentage }} throttling of CPU in namespace {{ $labels.namespace }} for container {{ $labels.container }} in pod {{ $labels.pod }}.' runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/cputhrottlinghigh summary: Processes experience elevated CPU throttling. expr: | sum(increase(container_cpu_cfs_throttled_periods_total{container!="", }[5m])) by (container, pod, namespace) / sum(increase(container_cpu_cfs_periods_total{}[5m])) by (container, pod, namespace) > ( 25 / 100 ) for: 15m labels: severity: info - name: kubernetes-storage rules: - alert: KubePersistentVolumeFillingUp annotations: description: The PersistentVolume claimed by {{ $labels.persistentvolumeclaim }} in Namespace {{ $labels.namespace }} is only {{ $value | humanizePercentage }} free. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubepersistentvolumefillingup summary: PersistentVolume is filling up. expr: | kubelet_volume_stats_available_bytes{job="kubelet", metrics_path="/metrics"} / kubelet_volume_stats_capacity_bytes{job="kubelet", metrics_path="/metrics"} < 0.03 for: 1m labels: severity: critical - alert: KubePersistentVolumeFillingUp annotations: description: Based on recent sampling, the PersistentVolume claimed by {{ $labels.persistentvolumeclaim }} in Namespace {{ $labels.namespace }} is expected to fill up within four days. Currently {{ $value | humanizePercentage }} is available. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubepersistentvolumefillingup summary: PersistentVolume is filling up. expr: | ( kubelet_volume_stats_available_bytes{job="kubelet", metrics_path="/metrics"} / kubelet_volume_stats_capacity_bytes{job="kubelet", metrics_path="/metrics"} ) < 0.15 and predict_linear(kubelet_volume_stats_available_bytes{job="kubelet", metrics_path="/metrics"}[6h], 4 * 24 * 3600) < 0 for: 1h labels: severity: warning - alert: KubePersistentVolumeErrors annotations: description: The persistent volume {{ $labels.persistentvolume }} has status {{ $labels.phase }}. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubepersistentvolumeerrors summary: PersistentVolume is having issues with provisioning. expr: | kube_persistentvolume_status_phase{phase=~"Failed|Pending",job="kube-state-metrics"} > 0 for: 5m labels: severity: critical - name: kubernetes-system rules: - alert: KubeVersionMismatch annotations: description: There are {{ $value }} different semantic versions of Kubernetes components running. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeversionmismatch summary: Different semantic versions of Kubernetes components running. expr: | count(count by (gitVersion) (label_replace(kubernetes_build_info{job!~"kube-dns|coredns"},"gitVersion","$1","gitVersion","(v[0-9]*.[0-9]*).*"))) > 1 for: 15m labels: severity: warning - alert: KubeClientErrors annotations: description: Kubernetes API server client '{{ $labels.job }}/{{ $labels.instance }}' is experiencing {{ $value | humanizePercentage }} errors.' runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeclienterrors summary: Kubernetes API server client is experiencing errors. expr: | (sum(rate(rest_client_requests_total{code=~"5.."}[5m])) by (instance, job) / sum(rate(rest_client_requests_total[5m])) by (instance, job)) > 0.01 for: 15m labels: severity: warning - name: kube-apiserver-slos rules: - alert: KubeAPIErrorBudgetBurn annotations: description: The API server is burning too much error budget. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeapierrorbudgetburn summary: The API server is burning too much error budget. expr: | sum(apiserver_request:burnrate1h) > (14.40 * 0.01000) and sum(apiserver_request:burnrate5m) > (14.40 * 0.01000) for: 2m labels: long: 1h severity: critical short: 5m - alert: KubeAPIErrorBudgetBurn annotations: description: The API server is burning too much error budget. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeapierrorbudgetburn summary: The API server is burning too much error budget. expr: | sum(apiserver_request:burnrate6h) > (6.00 * 0.01000) and sum(apiserver_request:burnrate30m) > (6.00 * 0.01000) for: 15m labels: long: 6h severity: critical short: 30m - alert: KubeAPIErrorBudgetBurn annotations: description: The API server is burning too much error budget. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeapierrorbudgetburn summary: The API server is burning too much error budget. expr: | sum(apiserver_request:burnrate1d) > (3.00 * 0.01000) and sum(apiserver_request:burnrate2h) > (3.00 * 0.01000) for: 1h labels: long: 1d severity: warning short: 2h - alert: KubeAPIErrorBudgetBurn annotations: description: The API server is burning too much error budget. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeapierrorbudgetburn summary: The API server is burning too much error budget. expr: | sum(apiserver_request:burnrate3d) > (1.00 * 0.01000) and sum(apiserver_request:burnrate6h) > (1.00 * 0.01000) for: 3h labels: long: 3d severity: warning short: 6h - name: kubernetes-system-apiserver rules: - alert: KubeClientCertificateExpiration annotations: description: A client certificate used to authenticate to the apiserver is expiring in less than 7.0 days. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeclientcertificateexpiration summary: Client certificate is about to expire. expr: | apiserver_client_certificate_expiration_seconds_count{job="apiserver"} > 0 and on(job) 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: description: A client certificate used to authenticate to the apiserver is expiring in less than 24.0 hours. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeclientcertificateexpiration summary: Client certificate is about to expire. expr: | apiserver_client_certificate_expiration_seconds_count{job="apiserver"} > 0 and on(job) histogram_quantile(0.01, sum by (job, le) (rate(apiserver_client_certificate_expiration_seconds_bucket{job="apiserver"}[5m]))) < 86400 labels: severity: critical - alert: AggregatedAPIErrors annotations: description: An aggregated API {{ $labels.name }}/{{ $labels.namespace }} 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. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/aggregatedapierrors summary: An aggregated API has reported errors. expr: | sum by(name, namespace)(increase(aggregator_unavailable_apiservice_count[5m])) > 2 labels: severity: warning - alert: AggregatedAPIDown annotations: description: An aggregated API {{ $labels.name }}/{{ $labels.namespace }} has been only {{ $value | humanize }}% available over the last 10m. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/aggregatedapidown summary: An aggregated API is down. expr: | (1 - max by(name, namespace)(avg_over_time(aggregator_unavailable_apiservice[10m]))) * 100 < 85 for: 5m labels: severity: warning - alert: KubeAPIDown annotations: description: KubeAPI has disappeared from Prometheus target discovery. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeapidown summary: Target disappeared from Prometheus target discovery. expr: | absent(up{job="apiserver"} == 1) for: 15m labels: severity: critical - name: kubernetes-system-kubelet rules: - alert: KubeNodeNotReady annotations: description: '{{ $labels.node }} has been unready for more than 15 minutes.' runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubenodenotready summary: Node is not ready. expr: | kube_node_status_condition{job="kube-state-metrics",condition="Ready",status="true"} == 0 for: 15m labels: severity: warning - alert: KubeNodeUnreachable annotations: description: '{{ $labels.node }} is unreachable and some workloads may be rescheduled.' runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubenodeunreachable summary: Node is unreachable. expr: | (kube_node_spec_taint{job="kube-state-metrics",key="node.kubernetes.io/unreachable",effect="NoSchedule"} unless ignoring(key,value) kube_node_spec_taint{job="kube-state-metrics",key=~"ToBeDeletedByClusterAutoscaler|cloud.google.com/impending-node-termination|aws-node-termination-handler/spot-itn"}) == 1 for: 15m labels: severity: warning - alert: KubeletTooManyPods annotations: description: Kubelet '{{ $labels.node }}' is running at {{ $value | humanizePercentage }} of its Pod capacity. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubelettoomanypods summary: Kubelet is running at capacity. expr: | count by(node) ( (kube_pod_status_phase{job="kube-state-metrics",phase="Running"} == 1) * on(instance,pod,namespace,cluster) group_left(node) topk by(instance,pod,namespace,cluster) (1, kube_pod_info{job="kube-state-metrics"}) ) / max by(node) ( kube_node_status_capacity_pods{job="kube-state-metrics"} != 1 ) > 0.95 for: 15m labels: severity: warning - alert: KubeNodeReadinessFlapping annotations: description: The readiness status of node {{ $labels.node }} has changed {{ $value }} times in the last 15 minutes. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubenodereadinessflapping summary: Node readiness status is flapping. expr: | sum(changes(kube_node_status_condition{status="true",condition="Ready"}[15m])) by (node) > 2 for: 15m labels: severity: warning - alert: KubeletPlegDurationHigh annotations: description: The Kubelet Pod Lifecycle Event Generator has a 99th percentile duration of {{ $value }} seconds on node {{ $labels.node }}. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeletplegdurationhigh summary: Kubelet Pod Lifecycle Event Generator is taking too long to relist. expr: | node_quantile:kubelet_pleg_relist_duration_seconds:histogram_quantile{quantile="0.99"} >= 10 for: 5m labels: severity: warning - alert: KubeletPodStartUpLatencyHigh annotations: description: Kubelet Pod startup 99th percentile latency is {{ $value }} seconds on node {{ $labels.node }}. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeletpodstartuplatencyhigh summary: Kubelet Pod startup latency is too high. expr: | histogram_quantile(0.99, sum(rate(kubelet_pod_worker_duration_seconds_bucket{job="kubelet", metrics_path="/metrics"}[5m])) by (instance, le)) * on(instance) group_left(node) kubelet_node_name{job="kubelet", metrics_path="/metrics"} > 60 for: 15m labels: severity: warning - alert: KubeletClientCertificateExpiration annotations: description: Client certificate for Kubelet on node {{ $labels.node }} expires in {{ $value | humanizeDuration }}. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeletclientcertificateexpiration summary: Kubelet client certificate is about to expire. expr: | kubelet_certificate_manager_client_ttl_seconds < 604800 labels: severity: warning - alert: KubeletClientCertificateExpiration annotations: description: Client certificate for Kubelet on node {{ $labels.node }} expires in {{ $value | humanizeDuration }}. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeletclientcertificateexpiration summary: Kubelet client certificate is about to expire. expr: | kubelet_certificate_manager_client_ttl_seconds < 86400 labels: severity: critical - alert: KubeletServerCertificateExpiration annotations: description: Server certificate for Kubelet on node {{ $labels.node }} expires in {{ $value | humanizeDuration }}. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeletservercertificateexpiration summary: Kubelet server certificate is about to expire. expr: | kubelet_certificate_manager_server_ttl_seconds < 604800 labels: severity: warning - alert: KubeletServerCertificateExpiration annotations: description: Server certificate for Kubelet on node {{ $labels.node }} expires in {{ $value | humanizeDuration }}. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeletservercertificateexpiration summary: Kubelet server certificate is about to expire. expr: | kubelet_certificate_manager_server_ttl_seconds < 86400 labels: severity: critical - alert: KubeletClientCertificateRenewalErrors annotations: description: Kubelet on node {{ $labels.node }} has failed to renew its client certificate ({{ $value | humanize }} errors in the last 5 minutes). runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeletclientcertificaterenewalerrors summary: Kubelet has failed to renew its client certificate. expr: | increase(kubelet_certificate_manager_client_expiration_renew_errors[5m]) > 0 for: 15m labels: severity: warning - alert: KubeletServerCertificateRenewalErrors annotations: description: Kubelet on node {{ $labels.node }} has failed to renew its server certificate ({{ $value | humanize }} errors in the last 5 minutes). runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeletservercertificaterenewalerrors summary: Kubelet has failed to renew its server certificate. expr: | increase(kubelet_server_expiration_renew_errors[5m]) > 0 for: 15m labels: severity: warning - alert: KubeletDown annotations: description: Kubelet has disappeared from Prometheus target discovery. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeletdown summary: Target disappeared from Prometheus target discovery. expr: | absent(up{job="kubelet", metrics_path="/metrics"} == 1) for: 15m labels: severity: critical - name: kubernetes-system-scheduler rules: - alert: KubeSchedulerDown annotations: description: KubeScheduler has disappeared from Prometheus target discovery. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubeschedulerdown summary: Target disappeared from Prometheus target discovery. expr: | absent(up{job="kube-scheduler"} == 1) for: 15m labels: severity: critical - name: kubernetes-system-controller-manager rules: - alert: KubeControllerManagerDown annotations: description: KubeControllerManager has disappeared from Prometheus target discovery. runbook_url: https://github.com/prometheus-operator/kube-prometheus/wiki/kubecontrollermanagerdown summary: Target disappeared from Prometheus target discovery. expr: | absent(up{job="kube-controller-manager"} == 1) for: 15m labels: severity: critical - name: prometheus rules: - alert: PrometheusBadConfig annotations: description: Prometheus {{$labels.namespace}}/{{$labels.pod}} has failed to reload its configuration. summary: Failed Prometheus configuration reload. expr: | # Without max_over_time, failed scrapes could create false negatives, see # https://www.robustperception.io/alerting-on-gauges-in-prometheus-2-0 for details. max_over_time(prometheus_config_last_reload_successful{job="prometheus-k8s",namespace="monitoring"}[5m]) == 0 for: 10m labels: severity: critical - alert: PrometheusNotificationQueueRunningFull annotations: description: Alert notification queue of Prometheus {{$labels.namespace}}/{{$labels.pod}} is running full. summary: Prometheus alert notification queue predicted to run full in less than 30m. expr: | # Without min_over_time, failed scrapes could create false negatives, see # https://www.robustperception.io/alerting-on-gauges-in-prometheus-2-0 for details. ( predict_linear(prometheus_notifications_queue_length{job="prometheus-k8s",namespace="monitoring"}[5m], 60 * 30) > min_over_time(prometheus_notifications_queue_capacity{job="prometheus-k8s",namespace="monitoring"}[5m]) ) for: 15m labels: severity: warning - alert: PrometheusErrorSendingAlertsToSomeAlertmanagers annotations: description: '{{ printf "%.1f" $value }}% errors while sending alerts from Prometheus {{$labels.namespace}}/{{$labels.pod}} to Alertmanager {{$labels.alertmanager}}.' summary: Prometheus has encountered more than 1% errors sending alerts to a specific Alertmanager. expr: | ( rate(prometheus_notifications_errors_total{job="prometheus-k8s",namespace="monitoring"}[5m]) / rate(prometheus_notifications_sent_total{job="prometheus-k8s",namespace="monitoring"}[5m]) ) * 100 > 1 for: 15m labels: severity: warning - alert: PrometheusErrorSendingAlertsToAnyAlertmanager annotations: description: '{{ printf "%.1f" $value }}% minimum errors while sending alerts from Prometheus {{$labels.namespace}}/{{$labels.pod}} to any Alertmanager.' summary: Prometheus encounters more than 3% errors sending alerts to any Alertmanager. expr: | min without(alertmanager) ( rate(prometheus_notifications_errors_total{job="prometheus-k8s",namespace="monitoring"}[5m]) / rate(prometheus_notifications_sent_total{job="prometheus-k8s",namespace="monitoring"}[5m]) ) * 100 > 3 for: 15m labels: severity: critical - alert: PrometheusNotConnectedToAlertmanagers annotations: description: Prometheus {{$labels.namespace}}/{{$labels.pod}} is not connected to any Alertmanagers. summary: Prometheus is not connected to any Alertmanagers. expr: | # Without max_over_time, failed scrapes could create false negatives, see # https://www.robustperception.io/alerting-on-gauges-in-prometheus-2-0 for details. max_over_time(prometheus_notifications_alertmanagers_discovered{job="prometheus-k8s",namespace="monitoring"}[5m]) < 1 for: 10m labels: severity: warning - alert: PrometheusTSDBReloadsFailing annotations: description: Prometheus {{$labels.namespace}}/{{$labels.pod}} has detected {{$value | humanize}} reload failures over the last 3h. summary: Prometheus has issues reloading blocks from disk. expr: | increase(prometheus_tsdb_reloads_failures_total{job="prometheus-k8s",namespace="monitoring"}[3h]) > 0 for: 4h labels: severity: warning - alert: PrometheusTSDBCompactionsFailing annotations: description: Prometheus {{$labels.namespace}}/{{$labels.pod}} has detected {{$value | humanize}} compaction failures over the last 3h. summary: Prometheus has issues compacting blocks. expr: | increase(prometheus_tsdb_compactions_failed_total{job="prometheus-k8s",namespace="monitoring"}[3h]) > 0 for: 4h labels: severity: warning - alert: PrometheusNotIngestingSamples annotations: description: Prometheus {{$labels.namespace}}/{{$labels.pod}} is not ingesting samples. summary: Prometheus is not ingesting samples. expr: | rate(prometheus_tsdb_head_samples_appended_total{job="prometheus-k8s",namespace="monitoring"}[5m]) <= 0 for: 10m labels: severity: warning - alert: PrometheusDuplicateTimestamps annotations: description: Prometheus {{$labels.namespace}}/{{$labels.pod}} is dropping {{ printf "%.4g" $value }} samples/s with different values but duplicated timestamp. summary: Prometheus is dropping samples with duplicate timestamps. expr: | rate(prometheus_target_scrapes_sample_duplicate_timestamp_total{job="prometheus-k8s",namespace="monitoring"}[5m]) > 0 for: 10m labels: severity: warning - alert: PrometheusOutOfOrderTimestamps annotations: description: Prometheus {{$labels.namespace}}/{{$labels.pod}} is dropping {{ printf "%.4g" $value }} samples/s with timestamps arriving out of order. summary: Prometheus drops samples with out-of-order timestamps. expr: | rate(prometheus_target_scrapes_sample_out_of_order_total{job="prometheus-k8s",namespace="monitoring"}[5m]) > 0 for: 10m labels: severity: warning - alert: PrometheusRemoteStorageFailures annotations: description: Prometheus {{$labels.namespace}}/{{$labels.pod}} failed to send {{ printf "%.1f" $value }}% of the samples to {{ $labels.remote_name}}:{{ $labels.url }} summary: Prometheus fails to send samples to remote storage. expr: | ( rate(prometheus_remote_storage_failed_samples_total{job="prometheus-k8s",namespace="monitoring"}[5m]) / ( rate(prometheus_remote_storage_failed_samples_total{job="prometheus-k8s",namespace="monitoring"}[5m]) + rate(prometheus_remote_storage_succeeded_samples_total{job="prometheus-k8s",namespace="monitoring"}[5m]) ) ) * 100 > 1 for: 15m labels: severity: critical - alert: PrometheusRemoteWriteBehind annotations: description: Prometheus {{$labels.namespace}}/{{$labels.pod}} remote write is {{ printf "%.1f" $value }}s behind for {{ $labels.remote_name}}:{{ $labels.url }}. summary: Prometheus remote write is behind. expr: | # Without max_over_time, failed scrapes could create false negatives, see # https://www.robustperception.io/alerting-on-gauges-in-prometheus-2-0 for details. ( max_over_time(prometheus_remote_storage_highest_timestamp_in_seconds{job="prometheus-k8s",namespace="monitoring"}[5m]) - on(job, instance) group_right max_over_time(prometheus_remote_storage_queue_highest_sent_timestamp_seconds{job="prometheus-k8s",namespace="monitoring"}[5m]) ) > 120 for: 15m labels: severity: critical - alert: PrometheusRemoteWriteDesiredShards annotations: description: Prometheus {{$labels.namespace}}/{{$labels.pod}} remote write desired shards calculation wants to run {{ $value }} shards for queue {{ $labels.remote_name}}:{{ $labels.url }}, which is more than the max of {{ printf `prometheus_remote_storage_shards_max{instance="%s",job="prometheus-k8s",namespace="monitoring"}` $labels.instance | query | first | value }}. summary: Prometheus remote write desired shards calculation wants to run more than configured max shards. expr: | # Without max_over_time, failed scrapes could create false negatives, see # https://www.robustperception.io/alerting-on-gauges-in-prometheus-2-0 for details. ( max_over_time(prometheus_remote_storage_shards_desired{job="prometheus-k8s",namespace="monitoring"}[5m]) > max_over_time(prometheus_remote_storage_shards_max{job="prometheus-k8s",namespace="monitoring"}[5m]) ) for: 15m labels: severity: warning - alert: PrometheusRuleFailures annotations: description: Prometheus {{$labels.namespace}}/{{$labels.pod}} has failed to evaluate {{ printf "%.0f" $value }} rules in the last 5m. summary: Prometheus is failing rule evaluations. expr: | increase(prometheus_rule_evaluation_failures_total{job="prometheus-k8s",namespace="monitoring"}[5m]) > 0 for: 15m labels: severity: critical - alert: PrometheusMissingRuleEvaluations annotations: description: Prometheus {{$labels.namespace}}/{{$labels.pod}} has missed {{ printf "%.0f" $value }} rule group evaluations in the last 5m. summary: Prometheus is missing rule evaluations due to slow rule group evaluation. expr: | increase(prometheus_rule_group_iterations_missed_total{job="prometheus-k8s",namespace="monitoring"}[5m]) > 0 for: 15m labels: severity: warning - alert: PrometheusTargetLimitHit annotations: description: Prometheus {{$labels.namespace}}/{{$labels.pod}} has dropped {{ printf "%.0f" $value }} targets because the number of targets exceeded the configured target_limit. summary: Prometheus has dropped targets because some scrape configs have exceeded the targets limit. expr: | increase(prometheus_target_scrape_pool_exceeded_target_limit_total{job="prometheus-k8s",namespace="monitoring"}[5m]) > 0 for: 15m labels: severity: warning - name: alertmanager.rules rules: - alert: AlertmanagerConfigInconsistent annotations: message: | The configuration of the instances of the Alertmanager cluster `{{ $labels.namespace }}/{{ $labels.service }}` are out of sync. {{ range printf "alertmanager_config_hash{namespace=\"%s\",service=\"%s\"}" $labels.namespace $labels.service | query }} Configuration hash for pod {{ .Labels.pod }} is "{{ printf "%.f" .Value }}" {{ end }} expr: | count by(namespace,service) (count_values by(namespace,service) ("config_hash", alertmanager_config_hash{job="alertmanager-main",namespace="monitoring"})) != 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: '{{ printf "%.4g" $value }}% of the {{ $labels.job }}/{{ $labels.service }} targets in {{ $labels.namespace }} namespace are down.' expr: 100 * (count(up == 0) BY (job, namespace, service) / count(up) BY (job, namespace, service)) > 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: node-network rules: - alert: NodeNetworkInterfaceFlapping annotations: message: Network interface "{{ $labels.device }}" changing it's up status often on node-exporter {{ $labels.namespace }}/{{ $labels.pod }}" expr: | changes(node_network_up{job="node-exporter",device!~"veth.+"}[2m]) > 2 for: 2m labels: severity: warning
創建kube-prometheus
kubectl apply -f manifests/setup kubectl apply -f manifests/
四、添加外部監控
一個項目開始可能很難實現全部容器化，比如數據庫、CDH集群。但是我們依然需要監控他們，如果分成兩套prometheus不利於管理，所以我們統一添加這些監控到kube-prometheus中。
那么接下來我們新建prometheus-additional.yaml文件，添加額外監控組件配置scrape_configs。
- job_name: 'k8s_sercice_metrics' honor_labels: true kubernetes_sd_configs: - role: pod namespaces: names: [xxx-online, xxx-sandbox] ##如果你的服務部署在除kube-system、default、monitoring這三個namaspace之外，此處直接寫是不生效的，具體修改請看下文第十步定制化配置 metrics_path: /swoole/stats relabel_configs: - action: keep source_labels: [__meta_kubernetes_pod_label_app, __meta_kubernetes_pod_container_name] regex: micro-service-article.*;micro-service-article.* - source_labels: - __meta_kubernetes_namespace target_label: namespace - job_name: 'ingress-nginx-endpoints' kubernetes_sd_configs: - role: pod namespaces: names: - kube-system relabel_configs: - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape] action: keep regex: true - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scheme] action: replace target_label: __scheme__ regex: (https?) - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path] action: replace target_label: __metrics_path__ regex: (.+) - source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port] action: replace target_label: __address__ regex: ([^:]+)(?::\d+)?;(\d+) replacement: $1:$2 - source_labels: [__meta_kubernetes_service_name] regex: prometheus-server action: drop
然后我們需要將這些監控配置以secret資源類型存儲到k8s集群中。
kubectl create secret generic
additional-scrape-configs --from-file=prometheus-additional.yaml -n monitoring
kubectl apply -f additional-scrape-configs.yaml
五、Scheduler和Controller配置
展開Status菜單，查看targets，可以看到只有圖中兩個監控任務沒有對應的目標，這和serviceMonitor資源對象有關。
查看yaml文件prometheus-serviceMonitorKubeScheduler，selector匹配的是service的標簽，但是kube-system namespace中並沒有k8s-app=kube-scheduler的service
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
labels:
k8s-app: kube-scheduler
name: kube-scheduler
namespace: monitoring
spec:
endpoints:
- interval: 30s # 每30s獲取一次信息
port: http-metrics # 對應service的端口名
jobLabel: k8s-app
namespaceSelector: # 表示去匹配某一命名空間中的service，如果想從所有的namespace中匹配用any: true
matchNames:
- kube-system
selector: # 匹配的 Service 的labels，如果使用mathLabels，則下面的所有標簽都匹配時才會匹配該service，如果使用matchExpressions，則至少匹配一個標簽的service都會被選擇
matchLabels:
k8s-app: kube-scheduler
新建prometheus-kubeSchedulerService.yaml
apiVersion: v1
kind: Service
metadata:
namespace: kube-system
name: kube-scheduler
labels:
k8s-app: kube-scheduler #與servicemonitor中的selector匹配
spec:
selector:
component: kube-scheduler # 與scheduler的pod標簽一直
ports:
- name: http-metrics
port: 10251
targetPort: 10251
protocol: TCP
同理新建prometheus-kubeControllerManagerService.yaml
apiVersion: v1
kind: Service
metadata:
namespace: kube-system
name: kube-controller-manager
labels:
k8s-app: kube-controller-manager
spec:
selector:
component: kube-controller-manager
ports:
- name: http-metrics
port: 10252
targetPort: 10252
protocol: TCP
六、Alertmanager配置
監控和告警項已經配置好了，那么接下來我們將進行alertmanager告警配置了。
常用的接收方式就是郵件了，但這里我們將使用飛書和郵件進行接收，（飛書和企業微信道理相同），所以需要自行開發一個連接飛書的應用websocket，進行消息轉發和處理。
當然，你也可以直接配置微信號和消息模板
global:
resolve_timeout: 5m #5m內沒有收到告警標記為已恢復
smtp_smarthost: 'smtp.exmail.qq.com:465'
smtp_from: '發件箱名稱'
smtp_auth_username: '發件箱名稱'
smtp_auth_password: '發件箱密碼'
smtp_require_tls: false
templates:
- '/usr/local/alertmanager/template/*.tmpl' 郵箱模板
route:
receiver: default
group_wait: 10s #如果在等待時間內當前group接收到了新的告警，這些告警將會合並為一個通知向receiver發送。
group_interval: 5m #用於定義相同的Gourp之間發送告警通知的時間間隔。
repeat_interval: 5m #如果一個報警信息已經發送成功了，等待'repeat_interval'時間來重新發送他們
group_by: [alertname] #將多條告警合合並為一個通知，如果滿足group_by中定義標簽名稱，那么這些告警將會合並為一個通知發送給接收器。
routes:
- receiver: webhook
group_wait: 10s
match:
status: warning
#配置接收器
receivers:
- name: webhook
webhook_configs:
- url: http://192.168.116.57:5004 #此處為自行開發的websocket地址，接收alertmanager告警並處理及發送到飛書或者企業微信
send_resolved: true
- name: default
email_configs:
- to: '收件箱名稱'
send_resolved: true
html: '{{ template "emai.html" . }}' # 模板
headers: { Subject: "{{ .CommonAnnotations.summary }}" }
#抑制配置
#inhibit_rules:- source_match:
# status: 'critical'
#target_match:
# status: 'warning'
# Apply inhibition if the alertname is the same.
#equal: ['alertname' ]
然后我們需要將alertmanager配置以secret資源類型存儲到k8s集群中。
kubectl create secret generic alertmanager-main --from-file=alertmanager.yaml -n monitoring
七、監控數據持久化
默認Prometheus和Grafana不做數據持久化，那么服務重啟以后配置的Dashboard、賬號密碼、監控數據等信息將會丟失，所以做數據持久化也是很有必要的。
原始的數據是以 emptyDir 形式存放在pod里面，生命周期與pod相同，出現問題時，容器重啟，監控相關的數據就全部消失了。
這里我們通過 storageclass 來做數據持久化，具體配置可以參考：Kubernetes實戰總結 - 動態存儲管理StorageClass
對於Grafana來說，我們需要在grafana-deployment.yaml中增加PVC配置，並且更改volumes.grafana-storage。
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: grafana
namespace: monitoring
annotations:
volume.beta.kubernetes.io/storage-class: "managed-nfs-storage"
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 10Gi
---
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: grafana
name: grafana
namespace: monitoring
spec:
replicas: 1
selector:
matchLabels:
app: grafana
template:
metadata:
labels:
app: grafana
spec:
containers:
#- image: grafana/grafana:6.4.3
- image: registry.cn-shanghai.aliyuncs.com/leozhanggg/prometheus/grafana:6.4.3
name: grafana
ports:
- containerPort: 3000
name: http
readinessProbe:
httpGet:
path: /api/health
port: http
resources:
limits:
cpu: 200m
memory: 200Mi
requests:
cpu: 100m
memory: 100Mi
volumeMounts:
- mountPath: /var/lib/grafana
name: grafana-storage
readOnly: false
...
volumes:
# - emptyDir: {}
# name: grafana-storage
- name: grafana-storage
persistentVolumeClaim:
claimName: grafana
...
對於Prometheus來說，我們只需要在prometheus-prometheus.yaml中增加volumeClaimTemplate配置即可。
apiVersion: monitoring.coreos.com/v1
kind: Prometheus
metadata:
labels:
prometheus: k8s
name: k8s
namespace: monitoring
spec:
alerting:
alertmanagers:
- name: alertmanager-main
namespace: monitoring
port: web
#baseImage: quay.io/prometheus/prometheus
baseImage: registry.cn-shanghai.aliyuncs.com/leozhanggg/prometheus/prometheus
additionalScrapeConfigs:
name: additional-scrape-configs
key: prometheus-additional.yaml
retention: 15d
storage:
volumeClaimTemplate:
spec:
storageClassName: alicloud-nas
resources:
requests:
storage: 100Gi
...
九、Grafana儀表板配置
前面我們把監控和告警已經配置好了，那接下來就剩展示了。打開grafana -> 點擊添加按鈕 ->Import ->Upload .json file，導入監控儀表板。
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"individual" }, "type": "graph", "xaxis": { "buckets": null, "mode": "time", "name": null, "show": true, "values": [] }, "yaxes": [ { "decimals": null, "format": "iops", "label": "讀取（-）/寫入（+）I/O ops/sec", "logBase": 1, "max": null, "min": null, "show": true }, { "format": "short", "label": null, "logBase": 1, "max": null, "min": null, "show": true } ], "yaxis": { "align": false, "alignLevel": null } }, { "aliasColors": { "Idle - Waiting for something to happen": "#052B51", "guest": "#9AC48A", "idle": "#052B51", "iowait": "#EAB839", "irq": "#BF1B00", "nice": "#C15C17", "sdb_每秒I/O操作%": "#d683ce", "softirq": "#E24D42", "steal": "#FCE2DE", "system": "#508642", "user": "#5195CE", "磁盤花費在I/O操作占比": "#ba43a9" }, "bars": false, "dashLength": 10, "dashes": false, "datasource": "prometheus", "decimals": null, "description": "每一秒鍾的自然時間內，花費在I/O上的耗時。（wall-clock time）\n\nnode_disk_io_time_seconds_total：\n磁盤花費在輸入/輸出操作上的秒數。該值為累加值。（Milliseconds Spent Doing I/Os）\n\nirate(node_disk_io_time_seconds_total[1m])：\n計算每秒的速率：(last值-last前一個值)/時間戳差值，即：1秒鍾內磁盤花費在I/O操作的時間占比。", "fieldConfig": { "defaults": { "custom": {} }, "overrides": [] }, "fill": 1, "fillGradient": 0, "gridPos": { "h": 9, "w": 8, "x": 8, "y": 44 }, "hiddenSeries": false, "id": 175, "legend": { "alignAsTable": true, "avg": true, "current": true, "hideEmpty": true, "hideZero": true, "max": true, "min": false, "rightSide": false, "show": true, "sideWidth": null, "sort": null, "sortDesc": null, "total": false, "values": true }, "lines": true, "linewidth": 1, "links": [], "maxPerRow": 6, "nullPointMode": "null", "options": { "dataLinks": [] }, "percentage": false, "pointradius": 5, "points": false, "renderer": "flot", "seriesOverrides": [], "spaceLength": 10, "stack": false, "steppedLine": false, "targets": [ { "expr": "irate(node_disk_io_time_seconds_total{instance=~\"$node\"}[5m])", "format": "time_series", "interval": "", "intervalFactor": 1, "legendFormat": "{{device}}_每秒I/O操作%", "refId": "C" } ], "thresholds": [], "timeFrom": null, "timeRegions": [], "timeShift": null, "title": "每1秒內I/O操作耗時占比", "tooltip": { "shared": true, "sort": 2, "value_type": "individual" }, "type": "graph", "xaxis": { "buckets": null, "mode": "time", "name": null, "show": true, "values": [] }, "yaxes": [ { "decimals": null, "format": "percentunit", "label": "", "logBase": 1, "max": null, "min": null, "show": true }, { "format": "short", "label": null, "logBase": 1, "max": null, "min": null, "show": false } ], "yaxis": { "align": false, "alignLevel": null } }, { "aliasColors": { "vda": "#6ED0E0" }, "bars": false, "dashLength": 10, "dashes": false, "datasource": "prometheus", "decimals": 2, "description": "Read time seconds 每個磁盤分區讀操作花費的秒數\n\nWrite time seconds 每個磁盤分區寫操作花費的秒數\n\nIO time seconds 每個磁盤分區輸入/輸出操作花費的秒數\n\nIO time weighted seconds每個磁盤分區輸入/輸出操作花費的加權秒數", "fieldConfig": { "defaults": { "custom": {} }, "overrides": [] }, "fill": 1, "fillGradient": 1, "gridPos": { "h": 9, "w": 8, "x": 16, "y": 44 }, "height": "300", "hiddenSeries": false, "id": 160, "legend": { "alignAsTable": true, "avg": true, "current": true, "hideEmpty": true, "hideZero": true, "max": true, "min": true, "show": true, "sort": "current", "sortDesc": true, "total": false, "values": true }, "lines": true, "linewidth": 2, "links": [], "nullPointMode": "null as zero", "options": { "dataLinks": [] }, "percentage": false, "pointradius": 5, "points": false, "renderer": "flot", "seriesOverrides": [ { "alias": "/,*_讀取$/", "transform": "negative-Y" } ], "spaceLength": 10, "stack": false, "steppedLine": false, "targets": [ { "expr": "irate(node_disk_read_time_seconds_total{instance=~\"$node\"}[5m]) / irate(node_disk_reads_completed_total{instance=~\"$node\"}[5m])", "format": "time_series", "hide": false, "instant": false, "interval": "", "intervalFactor": 1, "legendFormat": "{{device}}_讀取", "refId": "B" }, { "expr": "irate(node_disk_write_time_seconds_total{instance=~\"$node\"}[5m]) / irate(node_disk_writes_completed_total{instance=~\"$node\"}[5m])", "format": "time_series", "hide": false, "instant": false, "interval": "", "intervalFactor": 1, "legendFormat": "{{device}}_寫入", "refId": "C" }, { "expr": "irate(node_disk_io_time_seconds_total{instance=~\"$node\"}[5m])", "format": "time_series", "hide": true, "interval": "", "intervalFactor": 1, "legendFormat": "{{device}}", "refId": "A", "step": 10 }, { "expr": "irate(node_disk_io_time_weighted_seconds_total{instance=~\"$node\"}[5m])", "format": "time_series", "hide": true, "interval": "", "intervalFactor": 1, "legendFormat": "{{device}}_加權", "refId": "D" } ], "thresholds": [], "timeFrom": null, "timeRegions": [], "timeShift": null, "title": "每次IO讀寫的耗時（參考：小於100ms）(beta)", "tooltip": { "shared": true, "sort": 2, "value_type": "individual" }, "type": "graph", "xaxis": { "buckets": null, "mode": "time", "name": null, "show": true, "values": [] }, "yaxes": [ { "format": "s", "label": "讀取（-）/寫入（+）", "logBase": 1, "max": null, "min": null, "show": true }, { "format": "short", "label": null, "logBase": 1, "max": null, "min": null, "show": false } ], "yaxis": { "align": false, "alignLevel": null } }, { "aliasColors": { "192.168.200.241:9100_TCP_alloc": "semi-dark-blue", "TCP": "#6ED0E0", "TCP_alloc": "blue" }, "bars": false, "dashLength": 10, "dashes": false, "datasource": "prometheus", "decimals": 2, "description": "Sockets_used - 已使用的所有協議套接字總量\n\nCurrEstab - 當前狀態為 ESTABLISHED 或 CLOSE-WAIT 的 TCP 連接數\n\nTCP_alloc - 已分配（已建立、已申請到sk_buff）的TCP套接字數量\n\nTCP_tw - 等待關閉的TCP連接數\n\nUDP_inuse - 正在使用的 UDP 套接字數量\n\nRetransSegs - TCP 重傳報文數\n\nOutSegs - TCP 發送的報文數\n\nInSegs - TCP 接收的報文數", "fieldConfig": { "defaults": { "custom": {} }, "overrides": [] }, "fill": 0, "fillGradient": 0, "gridPos": { "h": 8, "w": 16, "x": 0, "y": 53 }, "height": "300", "hiddenSeries": false, "id": 158, "interval": "", "legend": { "alignAsTable": true, "avg": false, "current": true, "hideEmpty": true, "hideZero": true, "max": true, "min": false, "rightSide": true, "show": true, "sideWidth": null, "sort": "current", "sortDesc": true, "total": false, "values": true }, "lines": true, "linewidth": 1, "links": [], "nullPointMode": "null", "options": { "dataLinks": [] }, "percentage": false, "pointradius": 5, "points": false, "renderer": "flot", "seriesOverrides": [ { "alias": "/.*Sockets_used/", "color": "#E02F44", "lines": false, "pointradius": 1, "points": true, "yaxis": 2 } ], "spaceLength": 10, "stack": false, "steppedLine": false, "targets": [ { "expr": "node_netstat_Tcp_CurrEstab{instance=~'$node'}", "format": "time_series", "hide": false, "instant": false, "interval": "", "intervalFactor": 1, "legendFormat": "CurrEstab", "refId": "A", "step": 20 }, { "expr": "node_sockstat_TCP_tw{instance=~'$node'}", "format": "time_series", "interval": "", "intervalFactor": 1, "legendFormat": "TCP_tw", "refId": "D" }, { "expr": "node_sockstat_sockets_used{instance=~'$node'}", "hide": false, "interval": "30m", "intervalFactor": 1, "legendFormat": "Sockets_used", "refId": "B" }, { "expr": "node_sockstat_UDP_inuse{instance=~'$node'}", "interval": "", "legendFormat": "UDP_inuse", "refId": "C" }, { "expr": "node_sockstat_TCP_alloc{instance=~'$node'}", "interval": "", "legendFormat": "TCP_alloc", "refId": "E" }, { "expr": "irate(node_netstat_Tcp_PassiveOpens{instance=~'$node'}[5m])", "hide": true, "interval": "", "legendFormat": "{{instance}}_Tcp_PassiveOpens", "refId": "G" }, { "expr": "irate(node_netstat_Tcp_ActiveOpens{instance=~'$node'}[5m])", "hide": true, "interval": "", "legendFormat": "{{instance}}_Tcp_ActiveOpens", "refId": "F" }, { "expr": "irate(node_netstat_Tcp_InSegs{instance=~'$node'}[5m])", "interval": "", "legendFormat": "Tcp_InSegs", "refId": "H" }, { "expr": "irate(node_netstat_Tcp_OutSegs{instance=~'$node'}[5m])", "interval": "", "legendFormat": "Tcp_OutSegs", "refId": "I" }, { "expr": "irate(node_netstat_Tcp_RetransSegs{instance=~'$node'}[5m])", "hide": false, "interval": "", "legendFormat": "Tcp_RetransSegs", "refId": "J" }, { "expr": "irate(node_netstat_TcpExt_ListenDrops{instance=~'$node'}[5m])", "hide": true, "interval": "", "legendFormat": "", "refId": "K" } ], "thresholds": [], "timeFrom": null, "timeRegions": [], "timeShift": null, "title": "網絡Socket連接信息", "tooltip": { "shared": true, "sort": 2, "value_type": "individual" }, "transformations": [], "type": "graph", "xaxis": { "buckets": null, "mode": "time", "name": null, "show": true, "values": [] }, "yaxes": [ { "format": "short", "label": null, "logBase": 1, "max": null, "min": null, "show": true }, { "format": "short", "label": "已使用的所有協議套接字總量", "logBase": 1, "max": null, "min": null, "show": true } ], "yaxis": { "align": false, "alignLevel": null } }, { "aliasColors": { "filefd_192.168.200.241:9100": "super-light-green", "switches_192.168.200.241:9100": "semi-dark-red", "使用的文件描述符_10.118.72.128:9100": "red", "每秒上下文切換次數_10.118.71.245:9100": "yellow", "每秒上下文切換次數_10.118.72.128:9100": "yellow" }, "bars": false, "cacheTimeout": null, "dashLength": 10, "dashes": false, "datasource": "prometheus", "description": "", "fieldConfig": { "defaults": { "custom": {} }, "overrides": [] }, "fill": 0, "fillGradient": 1, "gridPos": { "h": 8, "w": 8, "x": 16, "y": 53 }, "hiddenSeries": false, "hideTimeOverride": false, "id": 16, "legend": { "alignAsTable": false, "avg": false, "current": true, "max": false, "min": false, "rightSide": false, "show": true, "total": false, "values": true }, "lines": true, "linewidth": 2, "links": [], "nullPointMode": "null", "options": { "dataLinks": [] }, "percentage": false, "pluginVersion": "6.4.2", "pointradius": 1, "points": false, "renderer": "flot", "seriesOverrides": [ { "alias": "/每秒上下文切換次數.*/", "color": "#FADE2A", "lines": false, "pointradius": 1, "points": true, "yaxis": 2 }, { "alias": "/使用的文件描述符.*/", "color": "#F2495C" } ], "spaceLength": 10, "stack": false, "steppedLine": false, "targets": [ { "expr": "node_filefd_allocated{instance=~\"$node\"}", "format": "time_series", "instant": false, "interval": "", "intervalFactor": 5, "legendFormat": "使用的文件描述符", "refId": "B" }, { "expr": "irate(node_context_switches_total{instance=~\"$node\"}[5m])", "interval": "", "intervalFactor": 5, "legendFormat": "每秒上下文切換次數", "refId": "A" }, { "expr": " (node_filefd_allocated{instance=~\"$node\"}/node_filefd_maximum{instance=~\"$node\"}) *100", "format": "time_series", "hide": true, "instant": false, "interval": "", "intervalFactor": 5, "legendFormat": "使用的文件描述符占比_{{instance}}", "refId": "C" } ], "thresholds": [], "timeFrom": null, "timeRegions": [], "timeShift": null, "title": "打開的文件描述符(左 )/每秒上下文切換次數(右)", "tooltip": { "shared": true, "sort": 2, "value_type": "individual" }, "type": "graph", "xaxis": { "buckets": null, "mode": "time", "name": null, "show": true, "values": [] }, "yaxes": [ { "format": "short", "label": "使用的文件描述符", "logBase": 1, "max": null, "min": null, "show": true }, { "format": "short", "label": "context_switches", "logBase": 1, "max": null, "min": null, "show": true } ], "yaxis": { "align": false, "alignLevel": null } } ], "refresh": "", "schemaVersion": 20, "style": "dark", "tags": [ "Prometheus", "node_exporter" ], "templating": { "list": [ { "allValue": null, "current": { "tags": [], "text": "node-exporter", "value": "node-exporter" }, "datasource": "prometheus", "definition": "label_values(node_uname_info, job)", "hide": 0, "includeAll": false, "index": -1, "label": "JOB", "multi": false, "name": "job", "options": [], "query": "label_values(node_uname_info, job)", "refresh": 1, "regex": "", "skipUrlSync": false, "sort": 5, "tagValuesQuery": "", "tags": [], "tagsQuery": "", "type": "query", "useTags": false }, { "allValue": null, "current": { "text": "All", "value": "$__all" }, "datasource": "prometheus", "definition": "label_values(node_uname_info{job=~\"$job\"}, nodename)", "hide": 0, "includeAll": true, "index": -1, "label": "主機名", "multi": false, "name": "hostname", "options": [], "query": "label_values(node_uname_info{job=~\"$job\"}, nodename)", "refresh": 1, "regex": "", "skipUrlSync": false, "sort": 5, "tagValuesQuery": "", "tags": [], "tagsQuery": "", "type": "query", "useTags": false }, { "allFormat": "glob", "allValue": null, "current": { "text": "ymt108", "value": "ymt108" }, "datasource": "prometheus", "definition": "label_values(node_uname_info{job=~\"$job\",nodename=~\"$hostname\"},instance)", "hide": 0, "includeAll": false, "index": -1, "label": "Instance", "multi": true, "multiFormat": "regex values", "name": "node", "options": [], "query": "label_values(node_uname_info{job=~\"$job\",nodename=~\"$hostname\"},instance)", "refresh": 1, "regex": "", "skipUrlSync": false, "sort": 5, "tagValuesQuery": "", "tags": [], "tagsQuery": "", "type": "query", "useTags": false }, { "allFormat": "glob", "allValue": null, "current": { "text": "All", "value": "$__all" }, "datasource": "prometheus", "definition": "label_values(node_network_info{device!~'tap.*|veth.*|br.*|docker.*|virbr.*|lo.*|cni.*'},device)", "hide": 0, "includeAll": true, "index": -1, "label": "網卡", "multi": true, "multiFormat": "regex values", "name": "device", "options": [], "query": "label_values(node_network_info{device!~'tap.*|veth.*|br.*|docker.*|virbr.*|lo.*|cni.*'},device)", "refresh": 1, "regex": "", "skipUrlSync": false, "sort": 1, "tagValuesQuery": "", "tags": [], "tagsQuery": "", "type": "query", "useTags": false }, { "allValue": null, "current": { "text": "/", "value": "/" }, "datasource": "prometheus", "definition": "query_result(topk(1,sort_desc (max(node_filesystem_size_bytes{instance=~'$node',fstype=~\"ext.?|xfs\",mountpoint!~\".*pods.*\"}) by (mountpoint))))", "hide": 2, "includeAll": false, "index": -1, "label": "最大掛載目錄", "multi": false, "name": "maxmount", "options": [], "query": "query_result(topk(1,sort_desc (max(node_filesystem_size_bytes{instance=~'$node',fstype=~\"ext.?|xfs\",mountpoint!~\".*pods.*\"}) by (mountpoint))))", "refresh": 2, "regex": "/.*\\\"(.*)\\\".*/", "skipUrlSync": false, "sort": 5, "tagValuesQuery": "", "tags": [], "tagsQuery": "", "type": "query", "useTags": false }, { "allValue": null, "current": { "text": "ymt108", "value": "ymt108" }, "datasource": "prometheus", "definition": "label_values(node_uname_info{job=~\"$job\",instance=~\"$node\"}, nodename)", "hide": 2, "includeAll": false, "index": -1, "label": "展示使用的主機名", "multi": false, "name": "show_hostname", "options": [], "query": "label_values(node_uname_info{job=~\"$job\",instance=~\"$node\"}, nodename)", "refresh": 1, "regex": "", "skipUrlSync": false, "sort": 5, "tagValuesQuery": "", "tags": [], "tagsQuery": "", "type": "query", "useTags": false } ] }, "time": { "from": "now-12h", "to": "now" }, "timepicker": { "hidden": false, "now": true, "refresh_intervals": [ "15s", "30s", "1m", "5m", "15m", "30m" ], "time_options": [ "5m", "15m", "1h", "6h", "12h", "24h", "2d", "7d", "30d" ] }, "timezone": "browser", "title": "育苗通Node資源監控", "uid": "hb7fSE0Zz", "version": 11 }
當然，默認還內置了很多k8s相關的資源監控模板。
更多監控模板：https://grafana.com/grafana/dashboards
九、匯總
特殊說明1：我們還可以自定義etcd監控，詳情可參考：https://www.jianshu.com/p/2fbbe767870d
- 第一步：建立一個 ServiceMonitor 對象，用於 Prometheus 添加監控項；
- 第二步：為 ServiceMonitor 對象關聯 metrics 數據接口的一個 Service 對象；
- 第三步：確保 Service 對象可以正確獲取到 metrics 數據。
特殊說明2：部署kube-prometheus可能會出現無法連接apiserver問題，詳情可參考：【解決】Error from server (ServiceUnavailable): the server is currently unable to handle the request
當我們完成了所有配置， 那接下來還需要整理一下，編寫升級腳本upgrade.sh，方便之后部署，以及修改更新。
#!/bin/sh # deploy kubernetes service kubectl apply -f prometheus-kubeControllerManagerService.yaml kubectl apply -f prometheus-kubeSchedulerService.yaml # upgrade alertmanager configuration kubectl create secret generic alertmanager-main --from-file=alertmanager.yaml -n monitoring --dry-run -oyaml > alertmanager-secret.yaml kubectl apply -f alertmanager-secret.yaml # upgrade scrape configs kubectl create secret generic additional-scrape-configs --from-file=prometheus-additional.yaml -n monitoring --dry-run -oyaml > additional-scrape-configs.yaml kubectl apply -f additional-scrape-configs.yaml # upgrade prometheus rules kubectl apply -f prometheus-additional-rules.yaml kubectl apply -f prometheus-rules.yaml # upgrade prometheus configuration kubectl apply -f prometheus-prometheus.yaml # upgrade grafana configuration kubectl apply -f grafana-deployment.yaml
十、定制化配置
1、namespace定制化
如果使用原生kube-prometheus 安裝的 kube-prometheus 只會監控 default kube-system monitoring（kube-prometheus 自己創建的ns）三個命名空間，而如果想要添加其他的命名空間，就需要定制化kube-prometheus
定制步驟
自動化腳本如下
# 所有操作均使用root賬戶 #安裝golang並設置環境變量 dnf install -y git curl -O https://dl.google.com/go/go1.15.2.linux-amd64.tar.gz tar -xf go1.15.2.linux-amd64.tar.gz mv go /usr/local echo >> "export PATH=$PATH:/usr/local/go/bin" ~/.bashrc echo >> "export PATH=$PATH:/root/go/bin" ~/.bashrc echo >> "export GOPATH=/root/go" ~/.bashrc echo >> "export GO111MODULE="on"" ~/.bashrc source ~/.bashrc # 安裝jsonnet 和 jb 工具 定制化 kube-prometheus 需要用到 #安裝json-bundle go get github.com/jsonnet-bundler/jsonnet-bundler/cmd/jb #安裝jsonnet go get github.com/google/go-jsonnet/cmd/jsonnet #clone kube-prometheus git clone https://github.com/prometheus-operator/kube-prometheus.git mkdir my-kube-prometheus # 把clone下來的代碼復制一遍，因為定制化代碼，不會生成CRD，但是會把manifests下的文件都刪掉 cp -r kube-prometheus/* my-kube-prometheus cd my-kube-prometheus # 安裝必要的jsonnet依賴庫 jb install github.com/prometheus-operator/kube-prometheus/jsonnet/kube-prometheus jb update cat add-namespace.yaml << EOF local kp = (import 'kube-prometheus/kube-prometheus.libsonnet') + { _config+:: { namespace: 'monitoring', prometheus+:: { namespaces+: ['default', 'kube-system','monitoring','rook-ceph'], }, }, }; { ['00namespace-' + name]: kp.kubePrometheus[name] for name in std.objectFields(kp.kubePrometheus) } + { ['0prometheus-operator-' + name]: kp.prometheusOperator[name] for name in std.objectFields(kp.prometheusOperator) } + { ['node-exporter-' + name]: kp.nodeExporter[name] for name in std.objectFields(kp.nodeExporter) } + { ['kube-state-metrics-' + name]: kp.kubeStateMetrics[name] for name in std.objectFields(kp.kubeStateMetrics) } + { ['alertmanager-' + name]: kp.alertmanager[name] for name in std.objectFields(kp.alertmanager) } + { ['prometheus-' + name]: kp.prometheus[name] for name in std.objectFields(kp.prometheus) } + { ['grafana-' + name]: kp.grafana[name] for name in std.objectFields(kp.grafana) } EOF
如果要除了添加對應的namespace 還要添加對應點 servicemonitor，參看這里
生成客戶化的kube-prometheus
./build.sh add-namespace.yaml
然后就可以看到
[root@k8smaster my-kube-prometheus]# ./build.sh add-namespace.jsonnet + set -o pipefail ++ pwd + PATH=/root/my-kube-prometheus/tmp/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/bin:/usr/local/go/bin:/usr/local/go/bin:/usr/local/go/bin:/usr/local/go/bin:/root/go/bin + rm -rf manifests + mkdir -p manifests/setup + jsonnet -J vendor -m manifests add-namespace.jsonnet + xargs '-I{}' sh -c 'cat {} | gojsontoyaml > {}.yaml' -- '{}' + find manifests -type f '!' -name '*.yaml' -delete + rm -f kustomization
最后通過對比，發現生成出來的文件，只有
- prometheus-roleSpecificNamespaces.yaml
- prometheus-roleBindingSpecificNamespaces.yaml 發生了變化
變化內容如下
prometheus-roleBindingSpecificNamespaces.yaml
- apiVersion: rbac.authorization.k8s.io/v1 kind: RoleBinding metadata: name: prometheus-k8s namespace: default roleRef: apiGroup: rbac.authorization.k8s.io kind: Role name: prometheus-k8s subjects: - kind: ServiceAccount name: prometheus-k8s namespace: monitoring - apiVersion: rbac.authorization.k8s.io/v1 kind: RoleBinding metadata: name: prometheus-k8s namespace: kube-system roleRef: apiGroup: rbac.authorization.k8s.io kind: Role name: prometheus-k8s subjects: - kind: ServiceAccount name: prometheus-k8s namespace: monitoring - apiVersion: rbac.authorization.k8s.io/v1 kind: RoleBinding metadata: name: prometheus-k8s namespace: monitoring roleRef: apiGroup: rbac.authorization.k8s.io kind: Role name: prometheus-k8s subjects: - kind: ServiceAccount name: prometheus-k8s namespace: monitoring - apiVersion: rbac.authorization.k8s.io/v1 kind: RoleBinding metadata: name: prometheus-k8s namespace: rook-ceph roleRef: apiGroup: rbac.authorization.k8s.io kind: Role name: prometheus-k8s subjects: - kind: ServiceAccount name: prometheus-k8s namespace: monitoring
prometheus-roleSpecificNamespaces.yaml
- apiVersion: rbac.authorization.k8s.io/v1 kind: Role metadata: name: prometheus-k8s namespace: default rules: - apiGroups: - "" resources: - services - endpoints - pods verbs: - get - list - watch - apiGroups: - extensions resources: - ingresses verbs: - get - list - watch - apiVersion: rbac.authorization.k8s.io/v1 kind: Role metadata: name: prometheus-k8s namespace: kube-system rules: - apiGroups: - "" resources: - services - endpoints - pods verbs: - get - list - watch - apiGroups: - extensions resources: - ingresses verbs: - get - list - watch - apiVersion: rbac.authorization.k8s.io/v1 kind: Role metadata: name: prometheus-k8s namespace: monitoring rules: - apiGroups: - "" resources: - services - endpoints - pods verbs: - get - list - watch - apiGroups: - extensions resources: - ingresses verbs: - get - list - watch - apiVersion: rbac.authorization.k8s.io/v1 kind: Role metadata: name: prometheus-k8s namespace: rook-ceph rules: - apiGroups: - "" resources: - services - endpoints - pods verbs: - get - list - watch - apiGroups: - extensions resources: - ingresses verbs: - get - list - watch
ps：不執行腳本也可以直接修改這兩個文件，修改完記得apply
2、修改Prometheus 配置項
在容器化編排工具 Kubernetes 集群中配置Prometheus 服務時，一般使用 kube-prometheus 這個項目進行部署。Kube-prometheus 的使用方式，在項目的說明文檔中都有介紹，這里就不贅述了。
Kube-prometheus 項目中對其他資源對象的管理是通過 Prometheus-Operator 項目實例來實現的；所以在管理和更新 Prometheus 服務是需要通過 Operator 來實現。
我們在使用 Kube-prometheus 項目配置 Prometheus 監控后，難免會進行一些調整，增加一些自定義的配置，這時候我們就需要更深入了解 Kube-prometheus 項目是如何配置 Prometheus 服務，並給我們預設什么樣的調整配置方式。
Prometheus 服務配置文件添加配置項
kube-prometheus 項目給我們提供了一份默認的 Prometheus 配置文件內容；在默認的環境中，這份默認配置已經很夠用的了。
在項目維護過程中，我們難免會增加新的監控對象（Target）；這是我們改如果修改 Prometheus 服務的配置文件，來實現目的吶？
1.1、修改Prometheus 服務配置文件對象(錯誤)
Prometheus 服務的配置文件由 prometheus-k8s 名稱的 Secret 對象存儲；一般情況下，只需要修改這個對象，既可以完成配置項修改的操作。但是這個對象無法修改，所以這個方式不可行。
1.2、修改Prometheus 服務的Statefulset 對象編輯文件（錯誤）
配置文件不能修改，那就新創建一個配置文件對象；讓 Prometheus 服務引用新的配置文件對象；也可以實現更新配置信息的目的。
修改 prometheus-k8s 名稱的 statefulset 對象，使其掛載的配置文件對象為新的配置文件。但是發現 statefulset 對象也是不能修改的；所以這個方式不可行。
1.3、官方提供的修改方式
Kube-prometheus 項目提供的修改 Prometheus 配置文件的方式是新編輯一個附加配置文件。
https://github.com/prometheus-operator/prometheus-operator/tree/master/example/additional-scrape-configs
具體實現查看第五步，其過程主要包括
- 編寫一個附加配置文件（prometheus-additional.yaml），用於擴展 Prometheus 配置。
- 利用附加配置文件生產一個 Secret 配置對象（additional-scrape-configs.yaml）。
- 修改 Prometheus CRD 對象實例，添加附加配置項的配置信息（prometheus.yaml）。
- 其他關於角色、綁定和賬號的配置一般可以忽略。
【更多】
參考：https://www.cnblogs.com/leozhanggg/p/13502983.html
參考：https://www.orchome.com/8193
Prometheus配置文件說明： https://www.cnblogs.com/rexcheny/p/10675891.html
Kube-prometheus詳解：https://www.cnblogs.com/kevingrace/p/11151649.html