使用Prometheus對系統進行監控，使用Grafana進行資料展示。我的環境是K8S，我的部署方式是通過 yaml檔案進行部署。已經部署檔案上傳到了Github。
部署node-expoter對k8s叢集監控
使用DaemonSet方式使用最新映象：node-exporter:v0.18.1部署描述檔案如下：
在這裡我建立了一個DaemonSet型別的部署，會在每個node節點上執行。執行的Namespace是在kube-system中。建立service 使用nodePort方式對映埠。
---apiVersion: apps/v1kind: DaemonSetmetadata: name: node-exporter namespace: kube-system labels: k8s-app: node-exporterspec: selector: matchLabels: name: node-exporter template: metadata: labels: name: node-exporter spec: containers: - name: node-exporter image: prom/node-exporter:v0.18.1 ports: - containerPort: 9100 protocol: TCP name: http---apiVersion: v1kind: Servicemetadata: labels: k8s-app: node-exporter name: node-exporter namespace: kube-systemspec: ports: - name: http port: 9100 nodePort: 31672 protocol: TCP type: NodePort selector: k8s-app: node-exporter部署prometheus服務
deploy.yaml
這裡我建立了一個應用部署檔案deployment物件，掛載configmap配置檔案和volume儲存持久化資料。
---apiVersion: apps/v1kind: Deploymentmetadata: labels: name: prometheus-deployment name: prometheus namespace: kube-systemspec: replicas: 1 selector: matchLabels: app: prometheus template: metadata: labels: app: prometheus spec: containers: - image: prom/prometheus:v2.15.2 name: prometheus command: - "/bin/prometheus" args: - "--config.file=/etc/prometheus/prometheus.yml" - "--storage.tsdb.path=/prometheus" - "--storage.tsdb.retention=24h" ports: - containerPort: 9090 protocol: TCP volumeMounts: - mountPath: "/prometheus" name: data - mountPath: "/etc/prometheus" name: config-volume resources: requests: cpu: 100m memory: 100Mi limits: cpu: 500m memory: 2500Mi serviceAccountName: prometheus volumes: - name: data hostPath: path: /data/devops/prometheus type: Directory - name: config-volume configMap: name: prometheus-configservice.yaml
這裡我建立了一個service物件，nodePort方式暴露30003埠進行訪問。
---kind: ServiceapiVersion: v1metadata: labels: app: prometheus name: prometheus namespace: kube-systemspec: type: NodePort ports: - port: 9090 targetPort: 9090 nodePort: 30003 selector: app: prometheusRBAC Setting（配置應用程式許可權）
apiVersion: rbac.authorization.k8s.io/v1kind: ClusterRolemetadata: name: prometheusrules:- apiGroups: [""] resources: - nodes - nodes/proxy - services - endpoints - pods verbs: ["get", "list", "watch"]- apiGroups: - extensions resources: - ingresses verbs: ["get", "list", "watch"]- nonResourceURLs: ["/metrics"] verbs: ["get"]---apiVersion: v1kind: ServiceAccountmetadata: name: prometheus namespace: kube-system---apiVersion: rbac.authorization.k8s.io/v1kind: ClusterRoleBindingmetadata: name: prometheusroleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: prometheussubjects:- kind: ServiceAccount name: prometheus namespace: kube-systemapiVersion: apps/v1kind: Deploymentmetadata: name: grafana-core namespace: kube-system labels: app: grafana component: corespec: selector: matchLabels: app: grafana replicas: 1 template: metadata: labels: app: grafana component: core spec: containers: - image: grafana/grafana:6.5.3 name: grafana-core imagePullPolicy: IfNotPresent env: # The following env variables set up basic auth twith the default admin user and admin password. - name: GF_AUTH_BASIC_ENABLED value: "true" - name: GF_AUTH_ANONYMOUS_ENABLED value: "false" # - name: GF_AUTH_ANONYMOUS_ORG_ROLE # value: Admin # does not really work, because of template variables in exported dashboards: # - name: GF_DASHBOARDS_JSON_ENABLED # value: "true" readinessProbe: httpGet: path: /login port: 3000 # initialDelaySeconds: 30 # timeoutSeconds: 1 volumeMounts: - name: grafana-persistent-storage mountPath: /var volumes: - name: grafana-persistent-storage hostPath: path: /data/devops/grafana type: Directoryservice
apiVersion: v1kind: Servicemetadata: name: grafana namespace: kube-system labels: app: grafana component: corespec: type: NodePort ports: - port: 3000 nodePort: 30011 selector: app: grafana component: core我們先看下dashboard中pod執行狀態
然後看下pometheus中是否有資料
到此我們就成功的將Prometheus+Grafana部署到了Kubernetes系統中。接下來我們來配置grafana展示叢集中的監控資料。
配置Grafana 面板新增資料來源
匯入面板
dashboardsid： 315
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