Ship

Software development lifecycle

1. Planning: This stage is usually represented by a clipboard icon, indicating the organization and preparation of tasks and objectives.

2. Development: Typically symbolized by a coding icon or a laptop, this stage involves writing and developing the actual software code.

3. Testing: A magnifying glass and checkmark icon can represent this phase, where the code is tested for defects and quality assurance processes are conducted.

4. Building & Packaging: This could be symbolized by a box and gears icon, reflecting the process of compiling the code and preparing it for deployment.

5. Release: Often depicted with a rocket ship icon, this final stage involves deploying the software to production environments and releasing it to end-users.

Software development and deployment process

Typical steps involved in the software development and deployment process:

1. Plan:
2. Product Owner creates stories.

3. Use of tools like Jira to manage stories and tasks.

4. Development:

5. Developers take user stories.
6. Commit code to version control systems like Git.

7. Use of platforms like GitHub for collaborative code management.

8. Build:

9. Code is built using continuous integration tools like Jenkins.

10. Quality assurance with tools like JUnit for testing and SonarQube for static code analysis.

11. Package:

12. Artifacts are packaged for deployment.

13. Use of repository management like JFrog Artifactory to store builds.

14. Test:

15. Quality Assurance (QA) testing, including regression and performance testing.

16. User Acceptance Testing (UAT) to validate the end-to-end business flow.

17. Release:

18. Deployment to various environments, such as development, QA, and UAT.

19. Feature toggle, canary deployment, and A/B testing for releasing features.

20. Monitoring:

21. Monitoring of applications in production with tools like Prometheus.

22. Use of application performance management (APM) tools like Skywalking for observability.

23. Alerting:

24. Implementing alerting mechanisms to notify of issues in real-time.

25. Scaling:

26. Ensuring the application can scale to meet demand.

27. Use of containerization tools like Docker for consistent deployment.

28. Escalation:

29. Escalation procedures for dealing with critical issues.

30. Post-Release:

31. Site Reliability Engineering (SRE) practices for maintaining system reliability post-deployment.

Each step is crucial and builds upon the previous one to ensure smooth transitions between stages of development, deployment, and post-release operations.