production-deployment

Automated production deployments using Docker and Kubernetes require a CI/CD pipeline that handles building, testing, deploying, and monitoring containerized applications. This workflow integrates health checks, environment configuration, and secret management to ensure production readiness.

Rollback strategies and database migrations in a production deployment are best handled using the expand-contract pattern. This approach coordinates safe database migrations alongside deployment patterns like Rolling, Blue-Green, or Canary to reduce release risk and enable reliable rollbacks.

Health checks for containerized applications during a Kubernetes deployment work by separating readiness and liveness probes. This health-check separation ensures traffic is only routed to fully operational application instances, improving production reliability and automated deployment success.

Non-root user best practices are required when dockerizing web applications for production to improve security. Dockerization strategies for production deployments also include proper environment configuration and secret management to ensure containers run securely in cloud environments.

Deployment patterns supported for reducing release risk in CI/CD pipelines include Rolling, Blue-Green, and Canary deployments. These patterns provide guidance for web applications by controlling how new application versions are rolled out and monitored in production environments.