GitLab Continuous Integration (GitLab CI)
The benefits of Continuous Integration are huge when automation plays an integral part of your workflow. GitLab comes with built-in Continuous Integration, Continuous Deployment, and Continuous Delivery support to build, test, and deploy your application.
Here's some info we've gathered to get you started.
The first steps towards your GitLab CI journey.
- Getting started with GitLab CI
- Pipelines and jobs
- Configure a Runner, the application that runs your jobs
- Third-party videos:
Once you get familiar with the getting started guides, you'll find yourself digging into specific reference guides.
.gitlab-ci.ymlreference - Learn all about the ins and outs of
CI Variables - Learn how to use variables defined in
.gitlab-ci.ymlor secured ones defined in your project's settings
- The permissions model - Learn about the access levels a user can have for performing certain CI actions
GitLab CI + Docker
Leverage the power of Docker to run your CI pipelines.
- Use Docker images with GitLab Runner
- Use CI to build Docker images
- CI services (linked Docker containers)
Once you get familiar with the basics of GitLab CI, it's time to dive in and learn how to leverage its potential even more.
- Environments and deployments - Separate your jobs into environments and use them for different purposes like testing, building and deploying
- Job artifacts
- Git submodules - How to run your CI jobs when Git submodules are involved
- Auto deploy
- Use SSH keys in your build environment and status of each CI environment running on Kubernetes
- Trigger pipelines through the GitLab API
- Trigger pipelines on a schedule
- Deploy Boards - Check the current health
- Kubernetes clusters - Integrate one or more Kubernetes clusters to your project
GitLab CI for GitLab Pages
See the topic on GitLab Pages.
You can change the default behavior of GitLab CI in your whole GitLab instance as well as in each project.
- Project specific
- Affecting the whole GitLab instance
Note: A collection of
.gitlab-ci.ymlfiles is maintained at the GitLab CI Yml project. If your favorite programming language or framework is missing we would love your help by sending a merge request with a
Here is an collection of tutorials and guides on setting up your CI pipeline.
- GitLab CI examples for the following languages and frameworks:
- How to test and deploy Laravel/PHP applications with GitLab CI/CD and Envoy
- How to deploy Maven projects to Artifactory with GitLab CI/CD
- Automated Debian packaging
- Spring boot application with GitLab CI and Kubernetes
- Setting up GitLab CI for iOS projects
- Setting up GitLab CI for Android projects
- Building a new GitLab Docs site with Nanoc, GitLab CI, and GitLab Pages
- CI/CD with GitLab in action
- Building an Elixir Release into a Docker image using GitLab CI
Why GitLab CI?