Ubuntu 16.04下安装搭建Kubernetes集群环境(4)

DNS_SERVER_IP="172.18.8.8" DNS_DOMAIN="cluster.local" DNS_REPLICAS=1 KUBE_APISERVER_URL=http://172.16.203.133:8080 cat <<EOF > skydns.yml apiVersion: v1 kind: ReplicationController metadata: name: kube-dns-v17.1 namespace: kube-system labels: k8s-app: kube-dns version: v17.1 kubernetes.io/cluster-service: "true" spec: replicas: $DNS_REPLICAS selector: k8s-app: kube-dns version: v17.1 template: metadata: labels: k8s-app: kube-dns version: v17.1 kubernetes.io/cluster-service: "true" spec: containers: - name: kubedns image: gcr.io/google_containers/kubedns-amd64:1.5 resources: # TODO: Set memory limits when we've profiled the container for large # clusters, then set request = limit to keep this container in # guaranteed class. Currently, this container falls into the # "burstable" category so the kubelet doesn't backoff from restarting it. limits: cpu: 100m memory: 170Mi requests: cpu: 100m memory: 70Mi livenessProbe: httpGet: path: /healthz port: 8080 scheme: HTTP initialDelaySeconds: 60 timeoutSeconds: 5 successThreshold: 1 failureThreshold: 5 readinessProbe: httpGet: path: /readiness port: 8081 scheme: HTTP # we poll on pod startup for the Kubernetes master service and # only setup the /readiness HTTP server once that's available. initialDelaySeconds: 30 timeoutSeconds: 5 args: # command = "/kube-dns" - --domain=$DNS_DOMAIN. - --dns-port=10053 - --kube-master-url=$KUBE_APISERVER_URL ports: - containerPort: 10053 name: dns-local protocol: UDP - containerPort: 10053 name: dns-tcp-local protocol: TCP - name: dnsmasq image: gcr.io/google_containers/kube-dnsmasq-amd64:1.3 args: - --cache-size=1000 - --no-resolv - --server=127.0.0.1#10053 ports: - containerPort: 53 name: dns protocol: UDP - containerPort: 53 name: dns-tcp protocol: TCP - name: healthz image: gcr.io/google_containers/exechealthz-amd64:1.1 resources: # keep request = limit to keep this container in guaranteed class limits: cpu: 10m memory: 50Mi requests: cpu: 10m # Note that this container shouldn't really need 50Mi of memory. The # limits are set higher than expected pending investigation on #29688. # The extra memory was stolen from the kubedns container to keep the # net memory requested by the pod constant. memory: 50Mi args: - -cmd=nslookup kubernetes.default.svc.$DNS_DOMAIN 127.0.0.1 >/dev/null - -port=8080 - -quiet ports: - containerPort: 8080 protocol: TCP dnsPolicy: Default # Don't use cluster DNS. --- apiVersion: v1 kind: Service metadata: name: kube-dns namespace: kube-system labels: k8s-app: kube-dns kubernetes.io/cluster-service: "true" kubernetes.io/name: "KubeDNS" spec: selector: k8s-app: kube-dns clusterIP: $DNS_SERVER_IP ports: - name: dns port: 53 protocol: UDP - name: dns-tcp port: 53 protocol: TCP EOF kubectl create -f skydns.yml

然后,修该各节点的kubelet.service,添加--cluster-dns=172.18.8.8以及--cluster-domain=cluster.local

部署Dashboard

echo <<'EOF' > kube-dashboard.yml kind: Deployment apiVersion: extensions/v1beta1 metadata: labels: app: kubernetes-dashboard version: v1.1.0 name: kubernetes-dashboard namespace: kube-system spec: replicas: 1 selector: matchLabels: app: kubernetes-dashboard template: metadata: labels: app: kubernetes-dashboard spec: containers: - name: kubernetes-dashboard image: gcr.io/google_containers/kubernetes-dashboard-amd64:v1.1.0 imagePullPolicy: Always ports: - containerPort: 9090 protocol: TCP args: - --apiserver-host=http://172.16.203.133:8080 livenessProbe: httpGet: path: / port: 9090 initialDelaySeconds: 30 timeoutSeconds: 30 --- kind: Service apiVersion: v1 metadata: labels: app: kubernetes-dashboard name: kubernetes-dashboard namespace: kube-system spec: type: ClusterIP ports: - port: 80 targetPort: 9090 selector: app: kubernetes-dashboard EOF kubectl create -f kube-dashboard.yml

Docker中部署Kubernetes

Kubernetes集群部署 

OpenStack, Kubernetes, Mesos 谁主沉浮 

Kubernetes集群搭建过程中遇到的问题及解决 

Kubernetes集群部署 

Kubernetes 的详细介绍请点这里
Kubernetes 的下载地址请点这里

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