deployment-patterns

Production deployments with CI/CD pipelines use GitHub Actions workflows to build multi-stage Docker images, run tests, and promote tagged images to staging and production with automated build-and-deploy stages. This approach reduces deployment risk through repeatable pipeline stages.

Blue-green deployment switches traffic between two identical environments instantly, canary releases route a subset of users to the new version gradually, and rolling rollouts update instances incrementally. Each strategy targets different risk tolerance and rollback speed for production releases.

Kubernetes health checks use liveness, readiness, and startup probes to monitor application health endpoints. Liveness probes detect deadlocked processes, readiness probes gate traffic routing until the service is prepared, and startup probes handle slow-booting applications.

Rollback procedures for Docker production deployments include instant rollback commands, database migration safety checks, and a production readiness checklist. Using tagged container images enables reverting to previous versions quickly when health checks fail or deployment errors occur.

Yes, the deployment patterns are compatible with common container registries and support preparing Node.js services for production. The workflows integrate image tagging strategies, multi-stage Docker builds, and non-root runtime configurations suitable for standard containerized applications.

Canary deployments are preferred when you need to validate application stability with a small subset of traffic before a full release, whereas rolling rollouts are better for straightforward updates with lower risk. Canary provides safer rollback if health checks fail during the incremental rollout.