环境准备：

1）安装kubernetes docker 

2）下载kuboard 镜像包及kuboard.yaml  metrics-server.yaml编排文件

下载地址

链接：https://pan.baidu.com/s/1WQvDpbkcutmgAjoasFQpsw?pwd=zh19 
提取码：zh19

一 通过dockers加载kuboard 镜像并上床到镜像仓库

1 加载镜像

docker load -i kuboard.tar.gz

2 docker tag  eipwork/kuboard:v3  192.168.58.131:8888/kuboard:v3

3 上传对应的镜像仓库

docker push 192.168.58.131:8888/kuboard:v3

二  修改kuboard.yaml和metrics-server.yaml的image地址

kuboard.yaml

apiVersion: apps/v1
kind: Deployment
metadata:
  name: kuboard
  namespace: kube-system
  annotations:
    k8s.kuboard.cn/displayName: kuboard
    k8s.kuboard.cn/ingress: "true"
    k8s.kuboard.cn/service: NodePort
    k8s.kuboard.cn/workload: kuboard
  labels:
    k8s.kuboard.cn/layer: monitor
    k8s.kuboard.cn/name: kuboard
spec:
  replicas: 1
  selector:
    matchLabels:
      k8s.kuboard.cn/layer: monitor
      k8s.kuboard.cn/name: kuboard
  template:
    metadata:
      labels:
        k8s.kuboard.cn/layer: monitor
        k8s.kuboard.cn/name: kuboard
    spec:
      containers:
      - name: kuboard
        image: 192.168.58.131:8888/kuboard/demo:v3
        imagePullPolicy: Always
      tolerations:
      - key: node-role.kubernetes.io/master
        effect: NoSchedule
        operator: Exists

---
apiVersion: v1
kind: Service
metadata:
  name: kuboard
  namespace: kube-system
spec:
  type: NodePort
  ports:
  - name: http
    port: 80
    targetPort: 80
    nodePort: 32567
  selector:
    k8s.kuboard.cn/layer: monitor
    k8s.kuboard.cn/name: kuboard

---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: kuboard-user
  namespace: kube-system

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: kuboard-user
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: cluster-admin
subjects:
- kind: ServiceAccount
  name: kuboard-user
  namespace: kube-system

---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: kuboard-viewer
  namespace: kube-system

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: kuboard-viewer
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: view
subjects:
- kind: ServiceAccount
  name: kuboard-viewer
  namespace: kube-system

# ---
# apiVersion: extensions/v1beta1
# kind: Ingress
# metadata:
#   name: kuboard
#   namespace: kube-system
#   annotations:
#     k8s.kuboard.cn/displayName: kuboard
#     k8s.kuboard.cn/workload: kuboard
#     nginx.org/websocket-services: "kuboard"
#     nginx.com/sticky-cookie-services: "serviceName=kuboard srv_id expires=1h path=/"
# spec:
#   rules:
#   - host: kuboard.yourdomain.com
#     http:
#       paths:
#       - path: /
#         backend:
#           serviceName: kuboard
#           servicePort: http

修改metrics-server.yaml的image

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: system:aggregated-metrics-reader
  labels:
    rbac.authorization.k8s.io/aggregate-to-view: "true"
    rbac.authorization.k8s.io/aggregate-to-edit: "true"
    rbac.authorization.k8s.io/aggregate-to-admin: "true"
rules:
- apiGroups: ["metrics.k8s.io"]
  resources: ["pods", "nodes"]
  verbs: ["get", "list", "watch"]

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: metrics-server:system:auth-delegator
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: system:auth-delegator
subjects:
- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system

---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: metrics-server-auth-reader
  namespace: kube-system
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: extension-apiserver-authentication-reader
subjects:
- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: system:metrics-server
rules:
- apiGroups:
  - ""
  resources:
  - pods
  - nodes
  - nodes/stats
  - namespaces
  verbs:
  - get
  - list
  - watch

---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: system:metrics-server
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: system:metrics-server
subjects:
- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system

---
apiVersion: apiregistration.k8s.io/v1
kind: APIService
metadata:
  name: v1beta1.metrics.k8s.io
spec:
  service:
    name: metrics-server
    namespace: kube-system
    port: 443
  group: metrics.k8s.io
  version: v1beta1
  insecureSkipTLSVerify: true
  groupPriorityMinimum: 100
  versionPriority: 100

---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: metrics-server
  namespace: kube-system
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: metrics-server
  namespace: kube-system
  labels:
    k8s-app: metrics-server
spec:
  selector:
    matchLabels:
      k8s-app: metrics-server
  template:
    metadata:
      name: metrics-server
      labels:
        k8s-app: metrics-server
    spec:
      serviceAccountName: metrics-server
      volumes:
      # mount in tmp so we can safely use from-scratch images and/or read-only containers
      - name: tmp-dir
        emptyDir: {}
      hostNetwork: true
      containers:
      - name: metrics-server
        image: 192.168.58.131:8888/kuboard/demo:v3
        # command:
        # - /metrics-server
        # - --kubelet-insecure-tls
        # - --kubelet-preferred-address-types=InternalIP
        args:
          - --cert-dir=/tmp
          - --secure-port=4443
          - --kubelet-insecure-tls=true
          - --kubelet-preferred-address-types=InternalIP,Hostname,InternalDNS,externalDNS
        ports:
        - name: main-port
          containerPort: 4443
          protocol: TCP
        securityContext:
          readOnlyRootFilesystem: true
          runAsNonRoot: true
          runAsUser: 1000
        imagePullPolicy: Always
        volumeMounts:
        - name: tmp-dir
          mountPath: /tmp
      nodeSelector:
        beta.kubernetes.io/os: linux

---
apiVersion: v1
kind: Service
metadata:
  name: metrics-server
  namespace: kube-system
  labels:
    kubernetes.io/name: "Metrics-server"
    kubernetes.io/cluster-service: "true"
spec:
  selector:
    k8s-app: metrics-server
  ports:
  - port: 443
    protocol: TCP
    targetPort: 4443

三 通过k8s 创建

kubectl apply -f kuboard.yaml

kubectl apply -f metrics-server.yaml

查看pod是否正常启动

四 访问kuboard

通过浏览器输入ip:32567

默认用户名 admin 密码：Kuboard123

登录进来之后需要添加对应的集群

按提示在k8s执行 cat ~/.kube/config输入即可

即可管理集群