dashboard安装部署_基于 Kubernetes 的 PaaS

WHAT：向企业展示度量信息和关键业务指标（KPI）现状的数据虚拟化工具

WHY：我们目前都是用机器去安装部署资源，但我们以后不可能动不动就上主机，那样非常不安全，而且开发人员等也需要看到POD的情况，不可能让他们也登录主机去查看，所以我们需要一个有权限控制的界面展示和控制的工具

# 200机器，准备镜像：
cd /data/k8s-yaml/
k8s-yaml]# docker pull k8scn/kubernetes-dashboard-amd64:v1.8.3
k8s-yaml]# docker images|grep dashboard
k8s-yaml]# docker tag fcac9aa03fd6 harbor.od.com/public/dashboard:v1.8.3
k8s-yaml]# docker push harbor.od.com/public/dashboard:v1.8.3

复习：push拉取、images显示所有镜像、|grep管道符，用于筛选、tag打标签、push上传

# 200机器，准备资源配置清单
k8s-yaml]# mkdir /data/k8s-yaml/dashboard
k8s-yaml]# cd /data/k8s-yaml/dashboard/
dashboard]# vi rbac.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
    k8s-app: kubernetes-dashboard
    addonmanager.kubernetes.io/mode: Reconcile
  name: kubernetes-dashboard-admin
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: kubernetes-dashboard-admin
  namespace: kube-system
  labels:
    k8s-app: kubernetes-dashboard
    addonmanager.kubernetes.io/mode: Reconcile
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: cluster-admin
subjects:
- kind: ServiceAccount
  name: kubernetes-dashboard-admin
  namespace: kube-system
  
dashboard]# vi dp.yaml
apiVersion: apps/v1
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:
      priorityClassName: system-cluster-critical
      containers:
      - name: kubernetes-dashboard
        image: harbor.od.com/public/dashboard:v1.8.3
        resources:
          limits:
            cpu: 100m
            memory: 300Mi
          requests:
            cpu: 50m
            memory: 100Mi
        ports:
        - containerPort: 8443
          protocol: TCP
        args:
          # PLATFORM-SPECIFIC ARGS HERE
          - --auto-generate-certificates
        volumeMounts:
        - name: tmp-volume
          mountPath: /tmp
        livenessProbe:
          httpGet:
            scheme: HTTPS
            path: /
            port: 8443
          initialDelaySeconds: 30
          timeoutSeconds: 30
      volumes:
      - name: tmp-volume
        emptyDir: {}
      serviceAccountName: kubernetes-dashboard-admin
      tolerations:
      - key: "CriticalAddonsOnly"
        operator: "Exists"
dashboard]# vi svc.yaml
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
  ports:
  - port: 443
    targetPort: 8443
dashboard]# vi ingress.yaml
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: kubernetes-dashboard
  namespace: kube-system
  annotations:
    kubernetes.io/ingress.class: traefik
spec:
  rules:
  - host: dashboard.od.com
    http:
      paths:
      - backend:
          serviceName: kubernetes-dashboard
          servicePort: 443

RBAC:基于角色的权限控制

# 11机器，解析域名：
~]# vi /var/named/od.com.zone
serial 前滚一位
dashboard          A    10.4.7.10
~]# systemctl restart named
~]# dig -t A dashboard.od.com @10.4.7.11 +short

# 选择任意运算节点，我选的是22机器，应用资源配置清单：
# 选择应用节点，22机器
~]# kubectl apply -f http://k8s-yaml.od.com/dashboard/rbac.yaml
~]# kubectl apply -f http://k8s-yaml.od.com/dashboard/dp.yaml
~]# kubectl apply -f http://k8s-yaml.od.com/dashboard/svc.yaml
~]# kubectl apply -f http://k8s-yaml.od.com/dashboard/ingress.yaml
~]# kubectl get pods -n kube-system
~]# kubectl get svc -n kube-system
~]# kubectl get ingress -n kube-system

先跳过