For minor fixes, a direct commit may suffice. However, in complex environments where rapid deployment is critical, separating the build, release, and run phases is essential to maintain uptime.

Phases of the Deployment Cycle
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Build Phase
In the build phase, developers write code using their favorite editors (such as VS Code or PyCharm). The source code is then transformed into an executable artifact—like a binary or a Docker image. Our process uses a Dockerfile along with the Docker build command to create the image for our application: -
Release Phase
Once the build is ready, the executable artifact is bundled with environment-specific configuration files to form the release object. Each release is uniquely identifiable (using versions like v1, v2, v3, or even timestamps), ensuring that even a minor change, such as a typo fix, generates a new release. Consider this sample configuration: -
Run Phase
In the run phase, the same build artifact is deployed across various environments (development, testing, production) to ensure consistency. This uniformity makes it easier to roll back to previous releases or redeploy specific versions when necessary. The final running version of our application remains identical to the artifact built earlier:Deploy the application using the same Docker build process:With the corresponding configuration:
Ensure that environment configurations are correctly managed during the release phase to avoid deployment issues. Misconfiguration at this stage can lead to unexpected application behavior.