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Develop, debug, and deploy Kubernetes applications through a shared CLI workflow.

Build, test, and deploy applications on Windows, Linux, or macOS build machines.

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

Keep supported dependencies and GitHub Actions references current through reviewable pull requests.

Promote releases through environments and coordinate deployments beyond the build stage.

Advance application releases through configured deployment targets.

Define reusable build and test checks as code that can run locally or on a remote engine.

Run repository builds, tests, and deployments from a bitbucket-pipelines.yml file in Bitbucket Cloud.

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

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

Aggregate the published status of the external services your team depends on.

Define CI/CD steps as YAML and execute them on self-hosted or Buildkite-managed agents.

Automate system configuration and deployment with inventory files and reusable YAML playbooks.

A Kubernetes-based framework for provisioning infrastructure through composable APIs.

Model source changes, build tasks, and releases as resource-driven pipelines.

Self-managed static analysis that reports code quality and security issues in the CI workflow.

Centrally provision, import, and manage Kubernetes clusters with role controls and workload deployment tools.

Run build and deployment pipelines from a Jenkinsfile on infrastructure your team operates.

Configure hosted CI/CD builds with build steps, triggers, and Kotlin DSL settings-as-code.

Run container-native workflows as DAGs or ordered steps on a Kubernetes cluster.

Manage requirements, projects, tasks, tests, and delivery workflows in an integrated lifecycle platform.

Calculates a Semantic Version from Git history and configurable branch rules.

Schedule long-running services and batch jobs across a cluster from declarative job specifications.

Build and publish software artifacts with a managed Google Cloud pipeline service.