deployment-patterns

Setting up a CI/CD pipeline using GitHub Actions for application deployment involves creating automated workflows that build, test, and release your code. You can configure these pipelines to automate rolling, blue-green, or canary deployment strategies for reliable web application releases.

The best way to configure Docker multi-stage builds for Node.js, Go, and Python is to separate the build environment from the final runtime image. This pattern minimizes container size and secures application deployment by including only compiled binaries and essential runtime dependencies.

Kubernetes probes and health checks work by continuously monitoring your application endpoints to verify container stability. Implementing liveness and readiness probes ensures traffic is only routed to healthy pods, maintaining production readiness and operational robustness during releases.

You need blue-green or canary deployment strategies for web applications when releasing updates with minimal downtime and risk. Blue-green switches traffic instantly between identical environments, while canary gradually routes users to the new version to validate stability before a full rollout.

Managing environment configuration following the Twelve-Factor App pattern requires strictly separating config from code by using environment variables. This approach keeps your deployment portable across different environments without modifying the underlying application source code.

Implementing rollback procedures for failed Kubernetes deployments involves defining clear operational checklists to revert to previous stable states. By monitoring health probes and tracking release versions, you can quickly execute rollback commands to restore service reliability.