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Ok, you are now ready to create your Container Engine cluster. A cluster consists of a master API server hosted by Google and a set of worker nodes. The worker nodes are Compute Engine virtual machines. Let’s create a cluster with two n1-standard-1 nodes (this will take a few minutes to complete):
$ gcloud container clusters create hello-node \
--num-nodes 2 \
--machine-type n1-standard-1
Creating cluster hello-world...done.
Created [https://container.googleapis.com/v1/projects/kubernetes-codelab/zones/us-central1-f/clusters/hello-world].
kubeconfig entry generated for hello-world.
NAME ZONE MASTER_VERSION MASTER_IP MACHINE_TYPE STATUS
hello-world us-central1-f 1.2.1 146.148.46.124 n1-standard-1 RUNNINGNote: Alternatively, you could create this cluster via the Console: Compute > Container Engine > Container Clusters > New container cluster.
You should now have a fully-functioning Kubernetes cluster powered by Google Container Engine:
Each node in the cluster is a Compute Engine instance provisioned with Kubernetes and docker binaries. If you are curious, you can list all Compute Engine instances in the project:
$ gcloud compute instances list
NAME ZONE MACHINE_TYPE INTERNAL_IP EXTERNAL_IP STATUS
gke-hello-world-... us-central1-f n1-standard-1 10.240.223.99 104.197.29.149 RUNNING
gke-hello-world-... us-central1-f n1-standard-1 10.240.22.199 104.197.53.8 RUNNINGBut you really shouldn’t have to use anything Compute Engine-specific but rather stick to the kubectl
Kubernetes command line.
It’s now time to deploy your own containerized application to the Kubernetes cluster!