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Post Build

1. Verification and Validation

Conduct functional testing to ensure all features work as intended.

Perform regression testing to confirm that new changes haven't affected existing functionality.

Validate compliance with specifications and requirements.

2. Documentation

Update system architecture diagrams and documentation.

Ensure all code is commented and follows coding standards.

Create user manuals and technical documentation.

3. Deployment Preparation

Prepare deployment scripts and automate deployment processes.

Verify server configurations and environment settings.

Conduct a final review of all system dependencies.

4. Backup and Recovery

Create backups of existing systems and data.

Develop a rollback plan in case of deployment failure.

Test recovery procedures to ensure data integrity.

5. Security Checks

Conduct vulnerability assessments and penetration testing.

Review and apply security patches to all components.

Ensure compliance with security policies and standards.

6. Performance Testing

Execute load testing to assess system performance under expected conditions.

Conduct stress testing to determine system limits and behavior under pressure.

Analyze performance metrics and optimize as necessary.

7. User Acceptance Testing (UAT)

Engage end-users to test the system and gather feedback.

Document user feedback and make necessary adjustments.

Obtain sign-off from stakeholders before production deployment.

8. Training and Support

Provide training sessions for users and stakeholders.

Prepare support materials and FAQs for end-users.

Establish a support plan for post-deployment issues.

9. Go-Live Readiness

Confirm that all teams (development, operations, support) are aligned.

Schedule the deployment window and communicate it to all stakeholders.

Conduct a final review meeting to address any last-minute concerns.

10. Post-Deployment Review

Monitor system performance and user feedback after deployment.

Conduct a retrospective meeting to discuss successes and areas for improvement.

Document lessons learned and update processes for future builds.

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