Kubernetes手记(20)- HeapSter监控

这是我参与更文挑战的第23天,活动详情查看: 更文挑战

二十 HeapSter监控(废弃中)

kubectl top 是 k8s 内置查看 POD 监控信息的命令,它是从 HeapSter 中取得数据,而 HeapSter 是运行在 K8S 集群级别的监控软件。

kubectl 有一个内置插件,叫 cAdvisor 它用来收集 node 节点和节点上的 POD 上的资源使用量,HeapSter 可以收集 cAdvisor 在每个节点上采集的数据,这些数据想要持续存储,那么就必须将数据放在 influx DB 的数据库中,然后可以使用 Grafana 配置 influx DB 为数据源,然后展示。

  • heapster 官方项目
https://github.com/kubernetes-retired/heapster
复制代码

20.1 安装 influx DB

influx DB 是一个时序数据库,它需要一个持久存储来保存数据,所以要注意的是在它的清单文件中应该将官方默认的 emptyDir 修改为具有持久存储能力的存储卷。

  • heapster/deploy/kube-config/influxdb/influxdb.yaml
apiVersion: apps/v1                     # 此处修改为 apps/v1,由于修改了此处所以还需要修改标签选择器
kind: Deployment
metadata:
  name: monitoring-influxdb
  namespace: kube-system
spec:
  replicas: 1
  selector:                             # 添加标签
    matchLables:                        # 添加标签
      task: monitoring                  # 添加标签
      k8s-app: influxdb                 # 添加标签
  template:
    metadata:
      labels:
        task: monitoring
        k8s-app: influxdb
    spec:
      containers:
      - name: influxdb
        image: k8s.gcr.io/heapster-influxdb-amd64:v1.5.2
        volumeMounts:
        - mountPath: /data
          name: influxdb-storage
      volumes:
      - name: influxdb-storage
        emptyDir: {}                    # 此处应该修改为具有持久存储能力的
---
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:
  - port: 8086
    targetPort: 8086
  selector:
    k8s-app: influxdb

复制代码
  • 查看 service 和 pod
$ kubectl get svc -n kube-system
NAME                   TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)                  AGE
kube-dns               ClusterIP   10.96.0.10       <none>        53/UDP,53/TCP,9153/TCP   9d
kubernetes-dashboard   NodePort    10.109.5.194     <none>        443:30894/TCP            3d14h
monitoring-influxdb    ClusterIP   10.104.173.236   <none>        8086/TCP                 18s

$ kubectl get pod -n kube-system
NAME                                    READY   STATUS    RESTARTS   AGE
.....
monitoring-influxdb-866db5f944-d7rkd    1/1     Running   0          69s

复制代码

20.2 安装 HeapSter

  • 首先安装 rbac 的用户,heapster/deploy/kube-config/rbac/heapster-rbac.yaml
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1beta1
metadata:
  name: heapster
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: system:heapster
subjects:
- kind: ServiceAccount
  name: heapster
  namespace: kube-system
复制代码
  • 安装 heapster,heapster/deploy/kube-config/influxdb/heapster.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
  name: heapster
  namespace: kube-system
---
apiVersion: apps/v1                    # 修改此处的为 apps/v1,修改此处以后还需要添加 selector 
kind: Deployment
metadata:
  name: heapster
  namespace: kube-system
spec:
  replicas: 1
  selector:                           # 因为修改 api 版本所以需要添加
    matchLabels:                      # 添加
      task: monitoring                # 添加
      k8s-app: heapster               # 添加
  template:
    metadata:
      labels:
        task: monitoring
        k8s-app: heapster
    spec:
      serviceAccountName: heapster
      containers:
      - name: heapster
        image: k8s.gcr.io/heapster-amd64:v1.5.4
        imagePullPolicy: IfNotPresent
        command:
        - /heapster
        - --source=kubernetes:https://kubernetes.default
        - --sink=influxdb:http://monitoring-influxdb.kube-system.svc:8086
---
apiVersion: v1
kind: Service
metadata:
  labels:
    task: monitoring
    kubernetes.io/cluster-service: 'true'
    kubernetes.io/name: Heapster
  name: heapster
  namespace: kube-system
spec:
  ports:
  - port: 80
    targetPort: 8082
  selector:
    k8s-app: heapster
复制代码
  • 查看结果,kubectl get pods -n kube-system
NAME                                    READY   STATUS    RESTARTS   AGE
...
heapster-5d4bf58946-6dmgf               1/1     Running   0          113s
monitoring-influxdb-866db5f944-d7rkd    1/1     Running   0          23m
复制代码

20.3 安装 Grafana

  • 安装 Grafana 清单:heapster/deploy/kube-config/influxdb/grafana.yaml
apiVersion: apps/v1                # 修改此处为 apps/v1
kind: Deployment
metadata:
  name: monitoring-grafana
  namespace: kube-system
spec:
  replicas: 1
  selector:                        # 由于修改了 api 版本,所以增加此处
    matchLabels:                   # 标签选择器
      task: monitoring             # 标签选择器
      k8s-app: grafana             # 标签选择器
  template:
    metadata:
      labels:
        task: monitoring
        k8s-app: grafana
    spec:
      containers:
      - name: grafana
        image: k8s.gcr.io/heapster-grafana-amd64:v5.0.4
        ports:
        - containerPort: 3000
          protocol: TCP
        volumeMounts:
        - mountPath: /etc/ssl/certs
          name: ca-certificates
          readOnly: true
        - mountPath: /var
          name: grafana-storage
        env:
        - name: INFLUXDB_HOST
          value: monitoring-influxdb
        - name: GF_SERVER_HTTP_PORT
          value: "3000"
        - 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
          value: /
      volumes:
      - name: ca-certificates
        hostPath:
          path: /etc/ssl/certs              # 注意配置 ssl 证书
      - name: grafana-storage
        emptyDir: {}                       # 注意配置持久存储
---
apiVersion: v1
kind: Service
metadata:
  labels:
    kubernetes.io/cluster-service: 'true'
    kubernetes.io/name: monitoring-grafana
  name: monitoring-grafana
  namespace: kube-system
spec:
  type: NodePort                         # 如果需要通过外部访问可以打开,可以关闭 heapster 的此项
  ports:
  - port: 80
    targetPort: 3000
  selector:
    k8s-app: grafana
复制代码

其他

自己将手记发在:github.com/redhatxl/aw…
欢迎一键三连

© 版权声明
THE END
喜欢就支持一下吧
点赞0 分享