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# Deploy and release your application **(FREE)**
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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 ](../ci/environments/index.md )
- [Releases ](../user/project/releases/index.md )
- [Review Apps ](../ci/review_apps/index.md )
- [Feature flags ](../operations/feature_flags.md )
## Related topics
- [Auto DevOps ](autodevops/index.md ) 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 ](autodevops/stages.md#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 ](../user/clusters/agent/install/index.md ).
- Use Docker images to run AWS commands from GitLab CI/CD, and a template to
facilitate [deployment to AWS ](../ci/cloud_deployment ).
- Use GitLab CI/CD to target any type of infrastructure accessible by GitLab Runner.
[User and pre-defined environment variables ](../ci/variables/index.md ) and CI/CD templates
support setting up a vast number of deployment strategies.
- Use GitLab [Cloud Seed ](../cloud_seed/index.md ), an open-source Incubation Engineering program,
to set up deployment credentials and deploy your application to Google Cloud Run with minimal friction.