Dagger

Dagger is a programmable Continuous Integration and Continuous Deployment (CI/CD) engine (cloud DevOps) for building, testing, and deploying software using container-native workflows defined as code.

• Programmable CI/CD engine for software delivery pipelines (cloud DevOps)
• Container-native workflow orchestration using Docker containers (container infrastructure)
• Pipeline definitions expressed as code, reusable modules, and configuration (developer tooling)
• Local and remote execution of build and test workflows for consistent environments (software delivery automation)
• Integration with existing Continuous Integration (CI) systems and developer tools via SDKs and APIs (DevOps integration)

More About Dagger

Dagger provides a programmable CI/CD engine (cloud DevOps) that allows engineering teams to define build, test, and deployment workflows as code, running them in containerized environments for repeatable software delivery processes.

The platform centers on a container-native execution model (container infrastructure), where each pipeline step runs inside Docker or OCI-compatible containers, which enables consistent behavior across developer laptops, shared build infrastructure, and production delivery environments.

Dagger exposes its capabilities through SDKs for common programming languages (developer tooling), enabling developers to define pipelines using standard language constructs rather than YAML-only configuration, and to organize workflows as reusable modules that can be composed across services and teams.

In enterprise and institutional environments, Dagger is used to standardize CI/CD logic across heterogeneous projects, encapsulate complex build and release steps in version-controlled code, and decouple pipeline logic from any single CI provider while still integrating with hosted CI services and on-premises (on-prem) orchestrators.

Architecturally, Dagger relies on container technologies such as Docker and OCI images (container infrastructure), and typically integrates with source control platforms, artifact registries, and runtime platforms such as Kubernetes or container orchestration systems, depending on how organizations wire deployment stages.

The engine is accessed via APIs and language SDKs (DevOps integration), which allows teams to embed pipeline execution into existing developer workflows, command-line tools, and automation scripts, while using the same definitions both locally and in shared CI environments.

Compared with traditional CI services that couple configuration, execution, and hosting, Dagger focuses on the pipeline definition and execution model as a programmable layer, which can run on various CI runners or infrastructure providers while keeping the pipeline logic portable.

For enterprise directories and taxonomy, Dagger is categorized in cloud DevOps, CI/CD automation, container-native build and test orchestration, and developer productivity tooling, with usage patterns that include microservices build pipelines, monorepo workflows, and environment-consistent testing.