目录

  • Sentinel-dashboard安装（k8s部署）
      • 一.拉取镜像并推送到私库
      • 二.准备sentinel statefulset部署配置文件
      • 三.部署并访问sentinel

Sentinel-dashboard安装（k8s部署）一.拉取镜像并推送到私库

这里选择的是docker hub已经有人制作好的Sentinel镜像

docker pull bladex/sentinel-dashboard:1.8.0#检查是否拉取成功docker images | grep bladex/sentinel

#重新给镜像打tagdocker tag bladex/sentinel-dashboard:1.8.0 [你的私人镜像仓库地址]/bladex/sentinel-dashboard:1.8.0docker pull [你的私人镜像仓库地址]/bladex/sentinel-dashboard:1.8.0

二.准备sentinel statefulset部署配置文件

vi sentinel-statefulset.yaml
#外部web访问服务apiVersion: v1kind: Servicemetadata:  labels:    app: sentinel  name: sentinel-nodespec:  type: NodePort  ports:    - name: "web"      port: 8858      targetPort: 8858      nodePort: 30280  selector:    app: sentinel---# 内部访问服务apiVersion: v1kind: Servicemetadata:  name: sentinel  labels:    app: sentinelspec:  type: ClusterIP  ports:    - port: 8858      targetPort: 8858      name: web    - port: 8719      targetPort: 8719      name: api  selector:    app: sentinel---apiVersion: apps/v1kind: StatefulSetmetadata:  name: sentinel  namespace: default  labels:    app: sentinelspec:  serviceName: sentinel  replicas: 1  selector:    matchLabels:      app: sentinel  template:    metadata:      labels:        app: sentinel    spec:      containers:        - name: sentinel          image: x454262h22.qicp.vip:86/common/bladex/sentinel-dashboard:1.8.0          imagePullPolicy: IfNotPresent          resources:            limits:              cpu: 450m              memory: 1536Mi            requests:              cpu: 400m              memory: 1536Mi          env:            - name: TZ              value: Asia/Shanghai            - name: JAVA_OPT_EXT              value: -Dserver.servlet.session.timeout=7200            - name: SERVER_HOST              value: -Dcsp.sentinel.dashboard.server=sentinel:8858            - name: SERVER_PORT              value: -Dserver.port=8858            - name: SERVER_API              value: -Dcsp.sentinel.api.port=8719          ports:            - containerPort: 8858            - containerPort: 8719          volumeMounts:            - name: vol-log              mountPath: /opt/logs      volumes:        - name: vol-log          persistentVolumeClaim:            claimName: sentinel      imagePullSecrets:        - name: regsecret

因为该配置使用了PVC，所以要新增一个PVC配置文件（此篇文章有搭建NFSStorageClasses 的教程）

vi sentinel-pvc.yaml
apiVersion: v1kind: PersistentVolumeClaimmetadata:  name: sentinel  labels:    app: sentinelspec:  accessModes:    - ReadWriteOnce  storageClassName: "nfs-storage"  resources:    requests:      storage: 10Gi

此处要保证K8s集群已经建立NFS的StorageClasses

三.部署并访问sentinel

#执行pvc的yaml文件kubectl apply -f sentinel-pvc.yaml#查看是否创建成功kubectl get pvc -o wide

#执行statefulset的yml文件kubectl apply -f sentinel-statefulset.yaml#检查是否部署成功kubectl get pod -o wide | grep sentinelkubectl get services -o wide | grep sentinel

等全部运行好了就通过任意一台k8s主机IP加端口30280访问sentinel，登陆的账号和密码也都是sentinel。当登陆后看到一个初始的sentinel-dashboard项目，部署就成功了。