Automate Terraform in Pull Requests with Digger

How does Digger improve your Infrastructure as Code workflow?

Digger is a tool that lets you run Terraform or OpenTofu commands directly from your pull requests. Instead of switching to your terminal to execute infrastructure changes, you simply comment on a PR. This speeds up deployments and keeps your entire team in the loop. It acts as an orchestration layer for your CI/CD system, taking the manual work out of managing cloud resources. By automating the planning and applying stages, it reduces the risk of human error during complex updates. If you work in a team managing shared cloud infrastructure, Digger is a way to make those changes transparent and repeatable without leaving your code review platform.

Can you use Digger for OpenTofu CI/CD?

Standard CI pipelines often run infrastructure commands in a black box. You push code and hope the terminal output is correct, but you lack visibility during the review process. Digger changes this by posting the output of your 'plan' command directly into the PR comment section. And it makes the review process faster for your teammates. But it also prevents the common issue of multiple people running conflicting infrastructure changes at the same time. According to Digger's documentation, the tool uses a locking mechanism to ensure that only one person updates a specific cloud environment at any given moment. So, you avoid the headache of state file corruption.

Why is CI/CD orchestration essential for cloud teams?

Infrastructure management is expensive in terms of both cloud bills and developer time. If a senior engineer spends 20 minutes manually running plans and debugging state locks, that is time taken away from feature development. Digger aims to shift this burden to the pipeline itself. For teams using the open-source version, the cost is essentially the time spent configuring your CI runner. For larger organizations, Digger offers enterprise support with additional security features and audit logs. You should calculate how many hours your team spends on manual deployments per month to see if the transition makes sense for your current budget.

How Digger Automates Terraform Pull Requests

When you open a PR, Digger automatically triggers a plan. You see the proposed changes right in the GitHub or GitLab interface. This means your teammates can comment on the specific infrastructure resources being modified before anything is applied. It turns infrastructure management into a collaborative code review process. So, instead of a hidden 'apply' command, you have a clear paper trail of every change. This visibility is vital for compliance and debugging. And it ensures that everyone knows exactly what is changing in the environment.

Digger Security and Access Control Features

Security is often the biggest hurdle for infrastructure automation. Digger allows you to manage access policies based on your existing identity provider or CI/CD permissions. You can ensure that only authorized users have the right to trigger an 'apply' command. It integrates with your existing cloud credentials, so you don't need to share long-lived keys across your team. But you still need to be careful with how you configure those environment variables. If you handle sensitive data, check the project's security docs to ensure your secrets stay encrypted throughout the execution.

Key Trade-offs of Using Digger for Infrastructure

No tool is perfect for every environment. Digger requires you to maintain a configuration file in your repository, which adds a bit of setup overhead compared to running raw Terraform commands. If your infrastructure is extremely simple, this might feel like extra complexity. Also, you become dependent on the Digger orchestration layer for your deployments. If there is a downtime event within the service or a compatibility issue with your CI provider, your infrastructure pipeline could stall. You should weigh these risks against the benefit of faster, more transparent PR workflows.

How to Get Started with Digger

To get started, check the project's GitHub repository for the latest installation guide. You will need to define your infrastructure configuration and connect it to your CI/CD provider, such as GitHub Actions or CircleCI. Start with a non-production environment to test how the plan and apply commands behave in your specific pipeline. Once you are comfortable with the output, you can move your core infrastructure over. It is a shift in how you work, so take the time to train your team on the new PR-based workflow.