Integrating Dagger with CI

This section provides information and code samples to help you integrate Dagger with various CI providers.

Argo Workflows

Dagger provides a programmable container engine that can be invoked from an Argo Workflow to run a Dagger pipeline. This allows you to benefit from Dagger's caching, debugging, and visualization features, whilst still keeping all of your existing Argo Workflows infrastructure.

AWS CodeBuild

Dagger provides a programmable container engine that allows you to migrate most of your AWS CodeBuild specification into Dagger Functions. This allows you to execute your pipeline the same locally and in AWS CodeBuild, with the additional benefits of intelligent caching and portability.

Azure Pipelines

Dagger provides a programmable container engine that allows you to replace your YAML Azure Pipelines definitions with Dagger Functions written in a regular programming language. This allows you to execute your pipeline the same way locally and in CI, with the additional benefit of intelligent caching.

CircleCI

Dagger provides a programmable container engine that allows you to replace your YAML workflows in CircleCI with Dagger Functions written in a regular programming language. This allows you to execute your pipeline the same locally and in CI, with the additional benefit of intelligent caching.

GitHub Actions

Dagger provides a GitHub Action that can be used in any GitHub Actions workflow to call one or more Dagger Functions on specific events, such as a new commit.

GitLab CI

Dagger provides a programmable container engine that allows you to replace your YAML pipeline definitions in GitLab with Dagger Functions written in a regular programming language. This allows you to execute your pipeline the same locally and in GitLab, with the additional benefit of intelligent caching.

Jenkins

Dagger provides a programmable container engine that allows you to replace your Groovy-based Jenkins pipelines with with Dagger Functions written in a regular programming language. This allows you to execute your pipeline the same locally and in Jenkins, with intelligent caching, while keeping all of your existing Jenkins infrastructure.

Tekton

Dagger provides a programmable container engine that can be invoked from Tekton to run a Dagger pipeline. This allows you to benefit from Dagger's caching, debugging, and visualization features, whilst still keeping all of your existing Tekton infrastructure.