This repository contains multiple examples of implementing CI/CD pipelines to deploy Databricks resources using Databricks Terraform provider.

The general workflow for examples looks as following:

• Changes to code are made in a separate Git branch & when changes are ready, a pull request is opened
• Upon opening of the pull request, the build pipeline is triggered, and following operations are performed:
  • Initializes Terraform using a remote backend to store a Terraform state.
  • Perform check of the Terraform code for formatting consistency.
  • Performs check of the Terraform code using terraform validate.
  • Executes terraform plan to get the list changes that will be made during deployment.
• If the build pipeline is executed without errors, results of terraform plan and the code could be reviewed by reviewer, and merged into the main branch.
• When code is merged into the main branch, the release pipeline is triggered, and after a manual approval, changes are applied to the deployment using the terraform apply command.

Code in the repository is organized into following folders:

• modules - implementation of specific Terraform modules:
  • databricks-department-clusters - Terraform module that creates Databricks resources for a team.
• examples - specific instances that use Terraform modules, providing CI/CD capabilities for deployment. Refer to README.md files inside specific folder:
  • manual-approve-with-azure-devops - implementation of databricks-department-clusters module using Azure DevOps.
  • manual-approve-with-github-actions - implementation of databricks-department-clusters module using GitHub Actions.