Kubernetes1.91（K8s）安装部署过程（八）-- kubernetes-dashboard安装

kubernets-dashboard顾名思义是操作面板安装，也就是可视化管理机器，同意我们用镜像结合配置文件部署。

1、下载镜像：

docker pull registry.docker-cn.com/kubernetesdashboarddev/kubernetes-dashboard-amd64:head

如图：

2、新增部署配置文件

需要2个文件。

文件一dashboard.yaml：

apiVersion: v1
kind: ServiceAccount
metadata:
  name: kubernetes-dashboard
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
  name: kubernetes-dashboard
  labels:
    k8s-app: kubernetes-dashboard
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: cluster-admin
subjects:
- kind: ServiceAccount
  name: kubernetes-dashboard
  namespace: kube-system
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: kubernetes-dashboard
  namespace: kube-system
  labels:
    k8s-app: kubernetes-dashboard
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
spec:
  selector:
    matchLabels:
      k8s-app: kubernetes-dashboard
  template:
    metadata:
      labels:
        k8s-app: kubernetes-dashboard
      annotations:
        scheduler.alpha.kubernetes.io/critical-pod: ‘‘
    spec:
      serviceAccountName: kubernetes-dashboard
      containers:
      - name: kubernetes-dashboard
        image: registry.docker-cn.com/kubernetesdashboarddev/kubernetes-dashboard-amd64:head
        resources:
          limits:
            cpu: 100m
            memory: 300Mi
          requests:
            cpu: 100m
            memory: 100Mi
        ports:
        - containerPort: 9090
        livenessProbe:
          httpGet:
            path: /
            port: 9090
          initialDelaySeconds: 30
          timeoutSeconds: 30
      tolerations:
      - key: "CriticalAddonsOnly"
        operator: "Exists"

文件二：

dashboard-svc.yaml文件

apiVersion: v1
kind: Service
metadata:
  name: kubernetes-dashboard
  namespace: kube-system
  labels:
    k8s-app: kubernetes-dashboard
    kubernetes.io/cluster-service: "true"
    addonmanager.kubernetes.io/mode: Reconcile
spec:
  selector:
    k8s-app: kubernetes-dashboard
  type: NodePort
  ports:
  - port: 9090
    targetPort: 9090
    nodePort: 32017

3、分别执行2个部署文件

kubectl create -f dashboard.yaml
kubectl create -f dashboard-svc.yaml

4、查询服务

跟上一届一样，替换一下关机子即可。

5、如何访问？

细心的人应该改法我们的yaml文件中有个ports定义，我们定义个nodeport的方式，端口为32017，这样

32017就监听在宿主机了，我们可以使用宿主机ip+32017,也就是10.10.90.105:32017访问了，如图：

此时已经可以使用面板进行管理集群了，只不过面板目前少了不展示node节点的一定负载情况，比如cpu、内存等，我们下一节中可以按照另外一个heapster插件进行展示，下一个教程再见！

原文地址：https://www.cnblogs.com/netsa/p/8376526.html