Sentinel-dashboard安装（k8s部署）
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/sentinelhttps://blog-img-1307610326.cos.ap-chongqing.myqcloud.com/blog_img/202310241059580.png
#重新给镜像打tag
docker tag bladex/sentinel-dashboard:1.8.0 [你的私人镜像仓库地址]/bladex/sentinel-dashboard:1.8.0
docker 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: v1
kind: Service
metadata:
labels:
app: sentinel
name: sentinel-node
spec:
type: NodePort
ports:
- name: "web"
port: 8858
targetPort: 8858
nodePort: 30280
selector:
app: sentinel
---
# 内部访问服务
apiVersion: v1
kind: Service
metadata:
name: sentinel
labels:
app: sentinel
spec:
type: ClusterIP
ports:
- port: 8858
targetPort: 8858
name: web
- port: 8719
targetPort: 8719
name: api
selector:
app: sentinel
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: sentinel
namespace: default
labels:
app: sentinel
spec:
serviceName: sentinel
replicas: 1
selector:
matchLabels:
app: sentinel
template:
metadata:
labels:
app: sentinel
spec:
containers:
- name: sentinel
image: [镜像地址]/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.yamlapiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: sentinel
labels:
app: sentinel
spec:
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 widehttps://blog-img-1307610326.cos.ap-chongqing.myqcloud.com/blog_img/202310241355469.png
#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 sentinel
kubectl get services -o wide | grep sentinelhttps://blog-img-1307610326.cos.ap-chongqing.myqcloud.com/blog_img/202310241403802.png
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。
https://blog-img-1307610326.cos.ap-chongqing.myqcloud.com/blog_img/202310241423290.png
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