This example demonstrates provisioning a Google Kubernetes Engine (GKE) cluster on the GCP cloud. The deployment consists of:

In this example we will deploy only the cluster. Later, in the more advanced examples (multi cloud examples) we will leverage this setup as the basis for deploying a containerized service.


This example expects the following prerequisites:

Cloudify CLI or Cloudify Management Console?

Cloudify allows for multiple user interfaces. Some users find the Cloudify Management Console (web based UI) more intuitive while others prefer the Cloudify CLI (Command Line Interface). This tutorial and all following ones will describe both methods.

Cloudify Management Console

This section explains how to run the above described steps using the Cloudify Management Console. The Cloudify Management Console and Cloudify CLI can be used interchangeably for all Cloudify activities.

Import Plugins and Secrets

To connect to GCP, credentials and Cloudify plugins are required. Cloudify recommends storing such sensitive information in a Cloudify secret. Secrets are kept encrypted in a secure way and used in run-time by the system. Learn more about Cloudify secrets here.

GCP credentials can be created by following the guide here.

To store the access keys as secrets in the Cloudify Manager, login to the Cloudify Management Console and select the Resources page. In the Secrets panel, scroll to the Secret Store Management widget and use the Create button to add the following new secret:

Required secrets for this example

Validate Secrets

To view the imported secrets in the Cloudify Manager, login to the Cloudify Management Console and select the Resources page and navigate to the Secrets tab. The following secrets should exist after following the above steps:

Validate secrets for this example

Import Kubernetes Blueprint

The Cloudify Manager provides an easy method of provisioning a Kuberenetes cluster on GCP GKE. On the Marketplace page, navigate to the Kubernetes Blueprint Examples tab and upload the Kubernetes-GCP-GKE blueprint. Once the blueprint will be uploaded you’ll be redirected to create a deployment dialog.

GCP import blueprint

Deploy an GCP GKE Cluster

Click the Install button at the bottom of the form to start the deployment. On the following page, click the Execute button.

GCP blueprints

You now have a Cloudify Deployment running the default install workflow. Cloudify will begin actively interfacing with GCP to deploy a GCP GKE Kubernetes cluster. You can track the status of the Deployment in the Execution Task Graph panel in the Deployments page.

GCP Kubernetes cluster complete

Using the GCP GKE Cluster

Install CLI tools


GCP documentation: https://docs.aws.amazon.com/eks/latest/userguide/install-kubectl.html


GCP documentation: https://cloud.google.com/sdk/docs/install

To initialize Kubectl, go to the GCP Console, navigate to the Kubernetes Engine page and in the dropdown for your cluster, click Connect. This will display a CLI command to use to setup the Kubectl config.

kubectl access

# Example GKE Kubectl init command
gcloud container clusters get-credentials ex2-cluster --zone europe-central2-a --project eaas-266314

Verify access

# List version
kubectl version --kubeconfig ~/.kube/config

# List namespaces
kubectl get ns --kubeconfig ~/.kube/config

# List nodes
kubectl get nodes --kubeconfig ~/.kube/config