| stage | none |
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| group | unassigned |
| info | To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/product/ux/technical-writing/#assignments |
Deployment is the step of the software delivery process when your application gets deployed to its final, target infrastructure.
You can deploy your application internally or to the public. Preview a release in a Review App, and use feature flags to release features incrementally.
- Environments and deployments
- Releases
- Packages and registries
- Review Apps
- Feature flags
- GitLab Pages
- Auto DevOps is an automated CI/CD-based workflow that supports the entire software supply chain: build, test, lint, package, deploy, secure, and monitor applications using GitLab CI/CD. It provides a set of ready-to-use templates that serve the vast majority of use cases.
- Auto Deploy is the DevOps stage dedicated to software deployment using GitLab CI/CD. Auto Deploy has built-in support for EC2 and ECS deployments.
- Deploy to Kubernetes clusters by using the GitLab agent.
- Use Docker images to run AWS commands from GitLab CI/CD, and a template to facilitate deployment to AWS.
- Use GitLab CI/CD to target any type of infrastructure accessible by GitLab Runner. User and pre-defined environment variables and CI/CD templates support setting up a vast number of deployment strategies.
- Use GitLab Cloud Seed, an open-source Incubation Engineering program, to set up deployment credentials and deploy your application to Google Cloud Run with minimal friction.