DevOps & CI

Promote application configuration through GitOps stages so a GitOps agent can deploy each stage.

Build Kubernetes manifests from reusable bases, overlays, and patches without a template language.

Build OCI container images from base images or Containerfile instructions with a focused command-line workflow.

Define pull-request, build, and deployment jobs in screwdriver.yaml with pluggable execution engines.

Orchestrate infrastructure-as-code stacks and run commands only where repository changes require them.

Compose Kubernetes-native tasks into build, test, and deployment pipelines.

Control Kubernetes canary and blue-green releases with staged traffic shifts and promotion or rollback rules.

Deploy applications to your own servers through a Ruby task workflow that coordinates remote commands over SSH.

A secrets-management service for storing sensitive values and issuing credentials to applications.

Run repository builds, tests, and release steps in workflows defined by CircleCI configuration.

Build, test, and deploy code through visual or YAML-defined CI/CD pipelines.

Orchestrate Terraform and OpenTofu projects while reusing configuration across infrastructure units.

Keep Kubernetes applications in sync with their declared configuration in Git.

Build and test software from declared targets and dependency graphs across multiple languages.

Plan and apply infrastructure changes from versioned configuration files.

Build, sign, distribute, test, and publish mobile apps through a configurable CI/CD pipeline.

Sign and verify container images and other software artifacts with keys or Sigstore's OIDC-based flow.

Build repeatable machine images from configuration templates before handing artifacts to deployment systems.

Configure native-code builds in a separate build directory, then compile and run registered tests.

Build a custom build, test, and release pipeline from a Python-configured framework.

Turn Conventional Commits into reviewed release pull requests.

Run Terraform plan and apply workflows in response to pull request comments.

Coordinate multi-cloud releases with trigger-driven deployment pipelines.

Describe AWS resources in YAML or JSON templates and manage them together as stacks.