deploy-to-production

You can automate production deployment by pushing changes to the main branch, which triggers GitHub Actions workflows to build Docker images and release the application automatically. This minimizes downtime and ensures reliable releases.

For a failed production deployment, you can perform an emergency rollback using detailed manual server-side deployment instructions. This allows you to revert the application to a stable state when automated CI/CD pipelines encounter issues.

Smart change detection optimizes CI/CD build times by analyzing commits and only rebuilding Docker images when necessary changes are detected, preventing redundant builds and accelerating the deployment pipeline.

Yes, the deployment process includes essential pre-deployment checks and environment variable management to verify configurations. This ensures robust and reliable releases before the application is updated in production.

You can verify deployment success through built-in health verification checks that run after the application is released. This confirms the production environment is stable and operating correctly following the update.

Docker and GitHub Actions are integral to the automated deployment workflow for push-triggered releases. However, manual deployment procedures are also available for direct server-side deployment if needed.