Reviewing the complete workflow from a local code change to a live deployment.
Let's review the complete, end-to-end workflow we have built. The process starts on a developer's local machine. The developer creates a new feature branch, writes some code, and commits the changes. When they push this branch to the central Git repository, the CI pipeline is automatically triggered. The pipeline checks out the code, installs dependencies, runs the linter to check for code quality, and executes the suite of unit tests. The developer gets immediate feedback. If any step fails, they are notified and can fix the issue right away. Once the developer is confident in their changes, they open a pull request to merge their feature branch into the main branch. This allows for a code review by other team members. After the pull request is approved and merged, another pipeline run is triggered, this time on the main branch. This pipeline repeats all the CI steps (build, lint, test) to ensure the integrated code is still healthy. If all CI steps pass, the CD part of the pipeline takes over. It builds a new Docker image from the code, tags it, and pushes it to the container registry. Finally, the deployment job connects to the production server and deploys the new container image, making the new feature live for users. This entire automated workflow, from a single line of code changed to a successful deployment, embodies the core principles of CI/CD, enabling teams to deliver value to users faster and more reliably.