eugeneromancenko / expert-octo-couscous

README

This is a guide on how to use the code in this repository to provision a private K8s cluster on GKE using Terraform.

Prerequisites

Before you begin, you must have the following:

• Terraform installed on your machine
• A GCP account with $300 credits or more
• The gcloud CLI tool installed and authenticated with your GCP account
• The make CLI tool installed

Getting started

1. Clone this repository: git clone <repo-url>
2. Navigate to the cloned repository directory: cd <repo-name>
3. update makefile with gcp project specific details like PROJECT_ID and specify unique BUCKET_NAME to store tfstate file , as well as YOUR_EMAIL it will be used for bigquery_role_assignment variable to set bigquery permission for you.
4. run make all to do e2e deployment
5. run make destroy to destroy all resources created

Terraform Configuration

The Terraform code in this repository is split into two tasks:

Task 1

Task 1 provisions a regional private K8s cluster on GKE with a dedicated service account, new VPC, and a subnet in the London region. It also creates two node-pools, one with 3 nodes without auto-scaling and another with 0 node by default with auto-scaling enabled. The outbound internet access to the private cluster is allowed without assigning externalIP addresses to it.

Task 2

Task 2 creates a new BigQuery dataset called vmo2_tech_test and assigns a specific role to a user using a local Terraform module called bigquery_dataset_access.

Variables

The variables.tf file contains the variables used in this Terraform configuration. You can edit this file to customize the values to your preference.

Conclusion

After following the steps outlined in this guide, you should have successfully provisioned a private K8s cluster on GKE and created a new BigQuery dataset with a specific role assigned to a user.