deployment-patterns

Blue-green deployments switch traffic between two identical production environments for instant rollback, canary deployments route a small percentage of traffic to a new version to test stability, and rolling deployments gradually replace old instances with new ones to minimize downtime.

Multi-stage Dockerfiles use multiple FROM statements to separate the build environment from the runtime environment, copying only the compiled artifacts or dependencies into a minimal final image to reduce size and improve security for Node.js, Go, and Python applications.

You can set up a CI/CD pipeline by defining a GitHub Actions workflow YAML file that automates testing, building a Docker image, and deploying the web application to production based on repository triggers like pushes or pull requests.

A production readiness checklist should verify health check endpoints, Kubernetes probes, environment configuration following the Twelve-Factor App pattern, monitoring setup, and documented rollback strategies to ensure web applications are stable before deployment.

CI/CD pipelines integrate seamlessly with Docker containerization by automating image builds and pushes, while Kubernetes probes utilize health check endpoints configured in the application to monitor container readiness and liveness during deployment.