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

巴特西

一个简单有效的kubernetes部署案例

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