Run the following commands from the machine which will be your Kubernetes Client
wget https://storage.googleapis.com/kubernetes-release/release/v1.7.0/bin/darwin/amd64/kubectl
chmod +x kubectl
sudo mv kubectl /usr/local/bin
wget https://storage.googleapis.com/kubernetes-release/release/v1.7.0/bin/linux/amd64/kubectl
chmod +x kubectl
sudo mv kubectl /usr/local/bin
In this section you will configure the kubectl client to point to the Kubernetes API Server Frontend Load Balancer.
KUBERNETES_PUBLIC_ADDRESS=$(gcloud compute addresses describe kubernetes-the-hard-way \
--region us-central1 \
--format 'value(address)')
Also be sure to locate the CA certificate created earlier. Since we are using self-signed TLS certs we need to trust the CA certificate so we can verify the remote API Servers.
The following commands will build up the default kubeconfig file used by kubectl.
kubectl config set-cluster kubernetes-the-hard-way \
--certificate-authority=ca.pem \
--embed-certs=true \
--server=https://${KUBERNETES_PUBLIC_ADDRESS}:6443
kubectl config set-credentials admin \
--client-certificate=admin.pem \
--client-key=admin-key.pem
kubectl config set-context kubernetes-the-hard-way \
--cluster=kubernetes-the-hard-way \
--user=admin
kubectl config use-context kubernetes-the-hard-way
At this point you should be able to connect securly to the remote API server:
kubectl get componentstatuses
NAME STATUS MESSAGE ERROR
controller-manager Healthy ok
scheduler Healthy ok
etcd-2 Healthy {"health": "true"}
etcd-0 Healthy {"health": "true"}
etcd-1 Healthy {"health": "true"}
kubectl get nodes
NAME STATUS AGE VERSION
worker0 Ready 7m v1.6.1
worker1 Ready 5m v1.6.1
worker2 Ready 2m v1.6.1