使用Prometheus监控Master节点组件指标

自建Prometheus采集Master节点组件指标

如果您需要通过Prometheus采集Master节点组件指标，可通过以下指导进行配置。

• 集群版本需要v1.19及以上。
• 在集群中需安装自建的Prometheus，您可参考Prometheus使用Helm模板进行安装。安装自建Prometheus后，还需要使用prometheus-operator纳管该Prometheus实例，具体操作步骤请参见Prometheus Operator。

  由于Prometheus插件版本已停止演进，不再支持该功能特性，请避免使用。

1. 使用kubectl连接集群。
2. 修改Prometheus的ClusterRole。

   kubectl edit ClusterRole prometheus -n {namespace}

   在rules字段添加以下内容：

   rules:
   ...
   - apiGroups:
     - proxy.exporter.k8s.io
     resources:
     - "*"
     verbs: ["get", "list", "watch"]

3. 创建并编辑kube-apiserver.yaml文件。

   vi kube-apiserver.yaml

   文件内容如下：

   apiVersion: monitoring.coreos.com/v1
   kind: ServiceMonitor
   metadata:
     labels:
       app.kubernetes.io/name: apiserver
     name: kube-apiserver
     namespace: monitoring    #修改为Prometheus安装的命名空间
   spec:
     endpoints:
     - bearerTokenFile: /var/run/secrets/kubernetes.io/serviceaccount/token
       interval: 30s
       metricRelabelings:
       - action: keep
         regex: (aggregator_unavailable_apiservice|apiserver_admission_controller_admission_duration_seconds_bucket|apiserver_admission_webhook_admission_duration_seconds_bucket|apiserver_admission_webhook_admission_duration_seconds_count|apiserver_client_certificate_expiration_seconds_bucket|apiserver_client_certificate_expiration_seconds_count|apiserver_current_inflight_requests|apiserver_request_duration_seconds_bucket|apiserver_request_total|go_goroutines|kubernetes_build_info|process_cpu_seconds_total|process_resident_memory_bytes|rest_client_requests_total|workqueue_adds_total|workqueue_depth|workqueue_queue_duration_seconds_bucket|aggregator_unavailable_apiservice_total|rest_client_request_duration_seconds_bucket)
         sourceLabels:
         - __name__
       - action: drop
         regex: apiserver_request_duration_seconds_bucket;(0.15|0.25|0.3|0.35|0.4|0.45|0.6|0.7|0.8|0.9|1.25|1.5|1.75|2.5|3|3.5|4.5|6|7|8|9|15|25|30|50)
         sourceLabels:
         - __name__
         - le
       port: https
       scheme: https
       tlsConfig:
         caFile: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
         serverName: kubernetes
     jobLabel: component
     namespaceSelector:
       matchNames:
       - default
     selector:
       matchLabels:
         component: apiserver
         provider: kubernetes

   创建ServiceMonitor：

   kubectl apply -f kube-apiserver.yaml

4. 创建并编辑kube-controller.yaml文件。

   vi kube-controller.yaml

   文件内容如下：

   apiVersion: monitoring.coreos.com/v1
   kind: ServiceMonitor
   metadata:
     labels:
       app.kubernetes.io/name: kube-controller
     name: kube-controller-manager
     namespace: monitoring    #修改为Prometheus安装的命名空间
   spec:
     endpoints:
       - bearerTokenFile: /var/run/secrets/kubernetes.io/serviceaccount/token
         interval: 15s
         honorLabels: true
         port: https
         relabelings:
           - regex: (.+)
             replacement: /apis/proxy.exporter.k8s.io/v1beta1/kube-controller-proxy/${1}/metrics
             sourceLabels:
               - __address__
             targetLabel: __metrics_path__
           - regex: (.+)
             replacement: ${1}
             sourceLabels:
               - __address__
             targetLabel: instance
           - replacement: kubernetes.default.svc.cluster.local:443
             targetLabel: __address__
         scheme: https
         tlsConfig:
           caFile: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
     jobLabel: app
     namespaceSelector:
       matchNames:
         - kube-system
     selector:
       matchLabels:
         app: kube-controller-proxy
         version: v1

   创建ServiceMonitor：

   kubectl apply -f kube-controller.yaml

5. 创建并编辑kube-scheduler.yaml文件。

   vi kube-scheduler.yaml

   文件内容如下：

   apiVersion: monitoring.coreos.com/v1
   kind: ServiceMonitor
   metadata:
     labels:
       app.kubernetes.io/name: kube-scheduler
     name: kube-scheduler
     namespace: monitoring    #修改为Prometheus安装的命名空间
   spec:
     endpoints:
       - bearerTokenFile: /var/run/secrets/kubernetes.io/serviceaccount/token
         interval: 15s
         honorLabels: true
         port: https
         relabelings:
           - regex: (.+)
             replacement: /apis/proxy.exporter.k8s.io/v1beta1/kube-scheduler-proxy/${1}/metrics
             sourceLabels:
               - __address__
             targetLabel: __metrics_path__
           - regex: (.+)
             replacement: ${1}
             sourceLabels:
               - __address__
             targetLabel: instance
           - replacement: kubernetes.default.svc.cluster.local:443
             targetLabel: __address__
         scheme: https
         tlsConfig:
           caFile: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
     jobLabel: app
     namespaceSelector:
       matchNames:
         - kube-system
     selector:
       matchLabels:
         app: kube-scheduler-proxy
         version: v1

   创建ServiceMonitor：

   kubectl apply -f kube-scheduler.yaml

6. 创建并编辑etcd-server.yaml文件。

   vi etcd-server.yaml

   文件内容如下：

   apiVersion: monitoring.coreos.com/v1
   kind: ServiceMonitor
   metadata:
     labels:
       app.kubernetes.io/name: etcd-server
     name: etcd-server
     namespace: monitoring    #修改为Prometheus安装的命名空间
   spec:
     endpoints:
       - bearerTokenFile: /var/run/secrets/kubernetes.io/serviceaccount/token
         interval: 15s
         honorLabels: true
         port: https
         relabelings:
           - regex: (.+)
             replacement: /apis/proxy.exporter.k8s.io/v1beta1/etcd-server-proxy/${1}/metrics
             sourceLabels:
               - __address__
             targetLabel: __metrics_path__
           - regex: (.+)
             replacement: ${1}
             sourceLabels:
               - __address__
             targetLabel: instance
           - replacement: kubernetes.default.svc.cluster.local:443
             targetLabel: __address__
         scheme: https
         tlsConfig:
           caFile: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
     jobLabel: app
     namespaceSelector:
       matchNames:
         - kube-system
     selector:
       matchLabels:
         app: etcd-server-proxy
         version: v1

   创建ServiceMonitor：

   kubectl apply -f etcd-server.yaml

7. 创建完成后，访问Prometheus，单击“Status > Targets”，可以查看到Prometheus监控目标中已包含上述三个Master节点组件。