1.下载dashboard镜像
docker pull docker.io/siriuszg/kubernetes-dashboard-amd64
image.png
2.修改镜像标签，并上传到本地仓库
docker tag docker.io/siriuszg/kubernetes-dashboard-amd64:latest 10.199.150.95:5000/kubernetes-dashboard-amd64
docker push 10.199.150.95:5000/kubernetes-dashboard-amd64
3.创建dashborad的deployment和service
创建deployment
vi dashboard.yaml
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
# Keep the name in sync with image version and
# gce/coreos/kube-manifests/addons/dashboard counterparts
name: kubernetes-dashboard-latest
namespace: kube-system
spec:
replicas: 1
template:
metadata:
labels:
k8s-app: kubernetes-dashboard
version: latest
kubernetes.io/cluster-service: "true"
spec:
containers:
- name: kubernetes-dashboard
image: 10.199.150.95:5000/kubernetes-dashboard-amd64:latest
resources:
# keep request = limit to keep this container in guaranteed class
limits:
cpu: 100m
memory: 50Mi
requests:
cpu: 100m
memory: 50Mi
ports:
- containerPort: 9090
args:
- --apiserver-host=http://10.199.150.95:8080
livenessProbe:
httpGet:
path: /
port: 9090
initialDelaySeconds: 30
timeoutSeconds: 30
创建service
vi dashboard-svc.yaml
apiVersion: v1
kind: Service
metadata:
name: kubernetes-dashboard
namespace: kube-system
labels:
k8s-app: kubernetes-dashboard
kubernetes.io/cluster-service: "true"
spec:
selector:
k8s-app: kubernetes-dashboard
ports:
- port: 80
targetPort: 9090
4.创建资源
当前目录下执行
kubectl create -f .
image.png
5.检查资源
由于在service中使用的namespace是kube-system，直接使用kubectl get pod/deployment查看出来的资源是属于namespace的，所以使用如下方法查看
kubectl get svc --namespace=kube-system 需要增加--namespace参数
image.png
