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

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

Run repository builds after pushes using a versioned `.travis.yml` configuration.

Orchestrate infrastructure plans, approvals, and deployments across IaC tools.

Record, replay, and inspect UI tests for desktop, web, and mobile applications.

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

Automate repository workflows in a self-hosted Gitea instance.

Turn repeatable operational procedures into jobs that run commands or workflows on selected nodes.

Create repeatable local development environments with a Vagrantfile and managed virtual machines.

Compile source, run tests, and create deployable artifacts without managing build servers.

Turn application source into runnable OCI images without requiring a Dockerfile for every project.

Run and manage OCI containers and pods from a command line, including in rootless mode.

Automates Kubernetes canary and blue-green rollouts using traffic analysis and validation checks.

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

Run GitHub Actions-compatible workflows on Depot compute with local-run and job-debugging tools.

Define and start a multi-container application from one Compose file and a single CLI command.

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

Monitor websites, servers, cloud services, applications, networks, and user experience from one hosted operations console.

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

Automate dependency and lockfile updates through reviewable pull requests across many repository platforms.

A release-automation CLI that builds, packages, and publishes software artifacts.

Turn Conventional Commits into reviewed release pull requests.

Model Kubernetes builds, deployments, tests, and local development as a dependency-aware action graph.

Run GitHub Actions workflows locally to get faster feedback before pushing changes.