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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.