deployment-patterns

Minimizing downtime during web application deployment requires strategies like rolling, blue-green, or canary deployments. These patterns incrementally shift traffic to new versions, ensuring continuous availability and enabling quick rollbacks if production issues arise.

Creating multi-stage Dockerfiles for Node.js, Go, and Python involves separating build environments from final production images. This approach compiles source code and bundles dependencies in intermediate stages, then copies only the runtime artifacts to reduce image size.

Setting up a GitHub Actions CI/CD pipeline for Docker containerization involves defining workflow stages for building, testing, and pushing images. The pipeline automates continuous integration tasks before deploying the Dockerized web application to production.

Kubernetes health checks use liveness and readiness probes to monitor container health and route traffic. Probes automatically restart failing containers and ensure traffic only reaches healthy pods, maintaining production readiness.

Choosing between rolling and canary deployment strategies depends on risk tolerance. Rolling deployments gradually replace old instances for routine updates, while canary deployments release changes to a small subset of users first to test for issues before full rollout.

Implementing rollback strategies with the Twelve-Factor App pattern involves maintaining environment configuration separation and stateless processes. This allows quick reversion to previous application versions without data conflicts during production failures.