How to automate Kubernetes clusters using Terraform on GCP

To automate the deployment and management of Kubernetes clusters using Terraform, you can use the Kubernetes provider for Terraform.

Here's an example of how you can use Terraform to deploy a Kubernetes cluster on Google Cloud Platform (GCP):

  1. Install Terraform on your machine. (Read More: How to Download & Install Terraform on Windows, Linux, Mac)
  2. Set up a GCP account and create a project.
  3. Create a service account with the necessary permissions to create and manage resources in your GCP project.
  4. Download the JSON key file for the service account and store it in a secure location.
  5. Define the provider and credentials for your GCP project in a Terraform configuration file.
provider "google" {
  credentials = file("path/to/service_account.json")
  project     = "my-gcp-project"
  region      = "us-central1"
  1. Use the google_container_cluster resource to create a Kubernetes cluster.
resource "google_container_cluster" "my-cluster" {
  name               = "my-cluster"
  location           = "us-central1-a"
  initial_node_count = 3

  master_auth {
    username = "admin"
    password = "password"

  node_config {
    machine_type = "n1-standard-1"
    oauth_scopes = [
  1. Run terraform init to initialize the directory with the configuration files.
  2. Run terraform apply to create the Kubernetes cluster.

You can then use the kubectl command-line tool to deploy applications to your cluster and manage its resources.

Read More: Destroy Command – How to Destroy Resources from Terraform

This is just a basic example of how you can use Terraform to automate the deployment and management of a Kubernetes cluster. You can use a variety of resources and configuration options to customize your deployment as needed.