- Select a suitable VCS tool, such as Git, and set up a central repository for the project's source code.
- Establish branching and merging strategies to facilitate parallel development and code collaboration.
- Define coding conventions and guidelines to ensure consistency across the codebase.
- Implement an automated CI pipeline that includes build, test, and code quality checks.
- Configure the CI pipeline to trigger on every code commit to the VCS, ensuring that changes are continuously integrated.
- Define and automate the build process to compile the code, package dependencies, and create deployment artifacts.
- Integrate automated testing frameworks into the CI pipeline to perform unit tests, integration tests, and other relevant tests.
- Implement static code analysis tools to identify code smells, vulnerabilities, and maintain code quality.
- Configure test environments and simulate production-like conditions to ensure thorough testing.
- Define deployment strategies and environments, such as development, staging, and production.
- Automate the deployment process to push the build artifacts to the respective environments.
- Integrate configuration management tools to ensure consistent configuration across different environments.
- Implement monitoring and logging mechanisms to gather real-time data on the application's performance and usage.
- Utilize monitoring tools to detect and diagnose issues, enabling proactive problem resolution.
- Continuously collect feedback from users and stakeholders to identify areas for improvement and feature enhancements.
