k8s–基础–26.5–监控告警系统–Grafana–安装和配置

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1、安装前

k8s的各个master节点和node节点都要操作

1.1、上传镜像文件

mkdir -p /root/k8s/monitor/
cd /root/k8s/monitor/

1.2、解压缩

# 解压缩
docker load -i /root/k8s/monitor/heapster-grafana-amd64_v5_0_4.tar.gz

# 删除
rm -rf /root/k8s/monitor/heapster-grafana-amd64_v5_0_4.tar.gz

2、安装Grafana

1. 在k8s的master1节点操作

2.1、脚本

vi /root/k8s/monitor/grafana.yaml

内容

apiVersion: apps/v1
kind: Deployment
metadata:
  # Deployment名称
  name: monitoring-grafana
  # Deployment名称空间
  namespace: kube-system
spec:
  # 副本数量
  replicas: 1
  # 标签选择器，选择对应标签的模板
  selector:
    matchLabels:
      task: monitoring
      k8s-app: grafana
  # 模板定义
  template:
    metadata:
      labels:
        task: monitoring
        k8s-app: grafana
    # 容器定义
    spec:
      containers:
      - name: grafana
        image: k8s.gcr.io/heapster-grafana-amd64:v5.0.4
        ports:
        - containerPort: 3000
          protocol: TCP
        # 挂载点
        volumeMounts:
        - mountPath: /etc/ssl/certs
          name: ca-certificates
          readOnly: true
        - mountPath: /var
          name: grafana-storage
        # 环境变量
        env:
        - name: INFLUXDB_HOST
          value: monitoring-influxdb
        - name: GF_SERVER_HTTP_PORT
          value: "3000"
          # The following env variables are required to make Grafana accessible via
          # the kubernetes api-server proxy. On production clusters, we recommend
          # removing these env variables, setup auth for grafana, and expose the grafana
          # service using a LoadBalancer or a public IP.
        - name: GF_AUTH_BASIC_ENABLED
          value: "false"
        - name: GF_AUTH_ANONYMOUS_ENABLED
          value: "true"
        - name: GF_AUTH_ANONYMOUS_ORG_ROLE
          value: Admin
        - name: GF_SERVER_ROOT_URL
          # If you're only using the API Server proxy, set this value instead:
          # value: /api/v1/namespaces/kube-system/services/monitoring-grafana/proxy
          value: /
      # 存储卷设置
      volumes:
      - name: ca-certificates
        hostPath:
          path: /etc/ssl/certs
      - name: grafana-storage
        emptyDir: {}
---
apiVersion: v1 
kind: Service
metadata:
  # Service 标签
  labels:
    # For use as a Cluster add-on (https://github.com/kubernetes/kubernetes/tree/master/cluster/addons)
    # If you are NOT using this as an addon, you should comment out this line.
    kubernetes.io/cluster-service: 'true'
    kubernetes.io/name: monitoring-grafana
  # Service 名称
  name: monitoring-grafana
  # Service 名称空间
  namespace: kube-system
spec:
  # In a production setup, we recommend accessing Grafana through an external Loadbalancer
  # or through a public IP.
  # type: LoadBalancer
  # You could also use NodePort to expose the service at a randomly-generated port
  # type: NodePort
  ports:
  - port: 80
    targetPort: 3000
  selector:
    k8s-app: grafana
  # 浏览器访问
  type: NodePort

2.2、执行

kubectl apply  -f  /root/k8s/monitor/grafana.yaml

# 查看
kubectl get pods -n kube-system -o wide | grep grafana
kubectl get svc -n kube-system   | grep grafana

3、Grafan 操作

3.1、登陆

http://192.168.187.154:30416

默认账号：admin
默认密码：admin

3.2、配置数据源

Name值：Prometheus 
Type值：Prometheus 
URL值：http://prometheus.monitor-sa.svc:9090

3.3、导入监控模板

3.3.1、位置

1. node_exporter.json监控模板：可以把node节点指标显示出来
2. docker_rev1.json监控模板：可以把容器相关的数据展示出来

3.3.2、导入的步骤

这里已导入node_exporter.json为例

选择导入

选择导入文件

修改和导入

3.3.3、导入其他监控模板

参考3.3.2，将docker_rev1.json导入进去。