This repo contains a lab to setup Kubernetes environment to learn for the CKA with Terraform on Google Cloud. Basically two Virtual Machines are deployed within a private network.

Register for the Google Cloud Platform (GCP) on https://cloud.google.com

Setup a project and connect to a billing account. Don't worry, we use Spot instances which are available for 1 ct per hour. You can flexible bootstrap this stack, learn 1-2 hours and have to pay less then 5 ct.

We will use Google Cloud Shell, reachable from the Console. This is a Virtual Machine, running in the background on GCP, accessable within your web browser with the complete installed environment like GCP Terraform.

When you enter the Cloud Shell you need to set the ProjectId as environment (pick up from the Cloud Console), clone this repo and run terraform with the default settings:

export GOOGLE_CLOUD_PROJECT=k8s-test-246009
git clone https://github.com/eumel8/gcp-cka.git
cd gcp-cka
terraform plan
terraform apply

Some authorization window will appear and needs to accept and after this one VM will deployed as master node. Public ip-address will shown at the end and you can enter:

ssh -i cka_key cka@35.232.110.87

NOTE: this repository contains an ssh example key pair cka_key. you should create and use your own:

ssh-keygen -C cka -f cka_key

If you familar with the master node you can continue to deploy node1 as worker or additional master:

terraform apply --var create_nodes=true

see KUBEADM for usage this lab