一个简单有效的kubernetes部署案例

　　部署web-rc:web应用需要去获取redis注入的ip环境变量cluster_ip,以此来访问

[root@sdw1 files]# cat testweb-rc.yaml 
kind: ReplicationController
metadata:
 name: testweb
spec:
 replicas: 1
 selector:
  app: testweb
 template:
  metadata:
   labels:
    app: testweb
  spec:
   containers:
     - name: testweb
       image: 10.10.18.19:5000/testweb #仓库镜像,或者其他本地镜像
       ports:
       - containerPort: 8080

　　部署web-svc:注意label和selector对应

[root@sdw1 files]# cat testweb-svc.yaml 
apiVersion: v1
kind: Service
metadata:
 name: testweb
spec:
 type: NodePort
 ports:
  - port: 8080
    nodePort: 31001
 selector:
  app: testweb

　　部署redis-rc.yaml:

[root@sdw1 files]# cat redis-rc.yaml 
apiVersion: v1
kind: ReplicationController
metadata:
  name: redis
spec:
  replicas: 1
  selector:
    app: redis
  template:
    metadata:
      labels:
        app: redis
    spec:
      containers:
        - name: redis
          image: redis
          ports:
            - containerPort: 6379

　　部署redis-svc.yaml

[root@sdw1 files]# cat redis-svc.yaml 
apiVersion: v1
kind: Service
metadata:
  name: redis
spec:
  type: NodePort
  selector:
    app: redis
  clusterIP: 100.100.100.100
  ports:
  - name: "1"
    port: 6379
    protocol: TCP
    targetPort: 6379
    nodePort: 31009

　　依次执行即可:

kubectl create -f testweb-rc.yaml
kubectl create -f testweb-svc.yaml
kubectl create -f redis-rc.yaml
kubectl create -f redis-svc.yaml

　　此时查看pod应该都在正常运行了,web也可以访问redis.

　　使用kubernetes前最好安装dashboard,看东西更方便,安装也很简单,也是创建三个资源:

　　创建空间:

[root@sdw1 templates]# cat kube-namespace.yaml 
apiVersion: v1  
kind: Namespace  
metadata:  
  name: kube-system

　　创建rc:

[root@sdw1 templates]# cat kube-dashboard-rc.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: docker.io/mritd/kubernetes-dashboard-amd64
        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://master:8080
        livenessProbe:
          httpGet:
            path: /
            port: 9090
          initialDelaySeconds: 30
          timeoutSeconds: 30

　　创建svc:

[root@sdw1 templates]# cat kube-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

　　依次执行:

kubectl create -f kube-namespace.yaml
kubectl create -f kube-dashboard-rc.yaml
kubectl create -f kube-dashboard-svc.yaml

　　完