Explain the stages of code deployment from its submission to the repository to its implementation in the production environment.

After submitting code to the repository (e.g., Git), several key deployment stages occur:

1. Triggering the CI/CD pipeline — the continuous integration system (Jenkins, GitLab CI, GitHub Actions, etc.) detects a new commit and starts the build process.

2. Build and testing — the code is compiled (if necessary), automated tests (unit, integration) are run, and code quality is checked (linters, static analysis).

3. Creating artifacts — if tests pass successfully, artifacts are created (e.g., binaries, Docker images) to be used for deployment.

4. Deploying to intermediate environments — artifacts are deployed to test or staging servers for additional testing and verification.

5. Automatic or manual approval — after successful testing, confirmation may be required to move to production.

6. Deployment to the production environment — artifacts are deployed to live servers, often using strategies like blue-green or canary deployments.

7. Monitoring and rollback — after deployment, the application's status is monitored, and if issues are detected, a rollback to the previous version may be performed.

Thus, the deployment process is an automated pipeline ensuring the quality and reliability of code releases into production.