Virtualization and ContainersDocker StacksIntermediate2-4 hoursLab build

Build a Homelab CI Pipeline for Docker Services with Rollback Support

A practical setup for a Continuous Integration (CI) pipeline in your homelab that automatically deploys Docker services from GitHub repositories and includes rollback capabilities.

Last reviewed4/30/2026
homelab CI and rollback
DockerGitHubCI/CD Tool (GitHub Actions or Jenkins)Linux Server

Expected Outcome

A working CI pipeline that builds, tests, and deploys Docker containers from GitHub, with the ability to roll back to previous versions if needed.

Assumptions

  • Basic knowledge of Docker
  • Familiarity with Git and GitHub
  • A homelab server with Docker installed
  • Access to a terminal/command line interface
  • A GitHub account

Bill of Materials

  • Homelab server (Linux-based preferred)
  • Docker installed
  • Git installed
  • A text editor (e.g., VSCode, Nano)
  • GitHub repository for your Docker project

Build Steps

  1. Set Up GitHub Repository

    Create a GitHub repository for your Docker project if you haven't already. Manual action: Go to GitHub and create a new repository.

    Safe to run: read-only

    Clone the repository to your local machine using: git clone <repository-url>
  2. Create Dockerfile

    In your repository, create a Dockerfile that defines your application environment.

    Example pattern only. Adjust for your environment before running.

    touch Dockerfile
    nano Dockerfile
  3. Set Up CI/CD Tool

    Choose a CI/CD tool (e.g., GitHub Actions, Jenkins) and configure it to build and deploy your Docker image.

    Example pattern only. Adjust for your environment before running.

    For GitHub Actions, create a .github/workflows/ci.yml file.
    nano .github/workflows/ci.yml
  4. Configure CI/CD Pipeline

    Add the necessary steps in your CI/CD configuration to build, test, and deploy the Docker image.

    Changes system state: review before running

    Add build step: 'docker build -t <image-name> .'
    Add test step: 'docker run --rm <image-name> pytest'
    Add deploy step: 'docker run -d --name <service-name> <image-name>'
  5. Implement Rollback Mechanism

    Set up a rollback mechanism in your CI/CD tool to revert to the previous version in case of failure.

    Changes system state: review before running

    Add a rollback step in your CI/CD configuration using: 'docker stop <service-name>'
    Use 'docker run -d --name <service-name> <previous-image-name>' to deploy the previous version.
  6. Test the Pipeline

    Push a change to your GitHub repository to trigger the CI/CD pipeline and verify that it works as expected.

    Safe to run: read-only

    git add .
    git commit -m 'Test CI/CD pipeline'
    git push origin main
  7. Monitor and Validate Deployment

    Check the status of your deployed service and ensure that it is running correctly.

    Safe to run: read-only

    docker ps
    docker logs <service-name>

Validation

  • Ensure the Docker container is running and accessible.
  • Verify the rollback functionality by simulating a failure and checking if the previous version is deployed.

Troubleshooting

  • If a step fails, capture the exact command, exit code, and log line before retrying or changing the design.
  • Use `docker compose ps` and `docker compose logs <service>` to separate image, environment, port, and volume problems.

Cleanup or Rollback

  • Keep a copy of working configuration, compose files, scripts, and service credentials before removing containers, packages, or data directories.
  • Stop test containers with `docker compose down` only after confirming which volumes contain persistent data.
  • Rollback by redeploying the previous compose file or image tag and restoring the saved environment file.

Next Improvements

  • Explore additional CI/CD tools for more advanced features.
  • Integrate automated testing for your Docker services.
  • Set up notifications for deployment status.