heapster+influxdb+grafana 部署

1、heapster-deployment.yaml 文件内容如下：

cat heapster-deployment.yaml
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: heapster
  namespace: kube-system
spec:
  replicas: 1
  template:
    metadata:
      labels:
        task: monitoring
        k8s-app: heapster
    spec:
      containers:
      - name: heapster
        image: daocloud.io/liukuan73/heapster-amd64:v1.5.2
        imagePullPolicy: IfNotPresent
        command:
        - /heapster
        - --source=kubernetes:http://10.0.0.190:8080?inClusterConfig=false&kubeletHttps=true&kubeletPort=10250&useServiceAccount=true&auth= 
        - --sink=influxdb:http://monitoring-influxdb:8086
说明：ip地址为kube-apiserver地址

2、heapster-service.yaml 文件内容如下：

cat heapster-service.yaml
apiVersion: v1
kind: Service
metadata:
  labels:
    task: monitoring
    # 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: Heapster
  name: heapster
  namespace: kube-system
spec:
  type: NodePort
  ports:
  - port: 80
    targetPort: 8082
    nodePort: 30002
  selector:
    k8s-app: heapster

3、influxdb-deployment.yaml 文件内容如下：

cat influxdb-deployment.yaml
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: monitoring-influxdb
  namespace: kube-system
spec:
  replicas: 1
  template:
    metadata:
      labels:
        task: monitoring
        k8s-app: influxdb
    spec:
      containers:
      - name: influxdb
        image: index.tenxcloud.com/jimmy/heapster-influxdb-amd64:v1.3.3
        volumeMounts:
        - mountPath: /data
          name: influxdb-storage
      volumes:
      - name: influxdb-storage
        emptyDir: {}         

4、influxdb-service.yaml 文件内容如下：

cat  influxdb-service.yaml 
apiVersion: v1
kind: Service
metadata:
  labels:
    task: monitoring
    # 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-influxdb
  name: monitoring-influxdb
  namespace: kube-system
spec:
  ports:
  - name: http
    port: 8083
    targetPort: 8083
  - name: api
    port: 8086
    targetPort: 8086
  selector:
    k8s-app: influxdb
  externalIPs:
    - 10.0.0.190

5、grafana-deployment.yaml 文件内容如下：

cat  grafana-deployment.yaml
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: monitoring-grafana
  namespace: kube-system
spec:
  replicas: 1
  template:
    metadata:
      labels:
        task: monitoring
        k8s-app: grafana
    spec:
      containers:
      - name: grafana
        image: daocloud.io/liukuan73/grafana:5.0.0
        ports:
          - containerPort: 3000
            protocol: TCP
        volumeMounts:
        - mountPath: /var
          name: grafana-storage
        env:
        - name: INFLUXDB_HOST
          value: monitoring-influxdb
        - name: GRAFANA_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/proxy/namespaces/kube-system/services/monitoring-grafana/
          value: /
      volumes:
      - name: grafana-storage
        emptyDir: {}

6、grafana-service.yaml 文件内容如下：

cat grafana-service.yaml
apiVersion: v1
kind: Service
metadata:
  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
  name: monitoring-grafana
  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: 3000
    targetPort: 3000
    protocol: TCP
    nodePort: 30009
  selector:
    k8s-app: grafana