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Accelerate DevOps with GitHub

You're reading from   Accelerate DevOps with GitHub Enhance software delivery performance with GitHub Issues, Projects, Actions, and Advanced Security

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781801813358
Length 540 pages
Edition 1st Edition
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Author (1):
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Michael Kaufmann Michael Kaufmann
Author Profile Icon Michael Kaufmann
Michael Kaufmann
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Table of Contents (31) Chapters Close

Preface 1. Part 1: Lean Management and Collaboration
2. Chapter 1: Metrics That Matter FREE CHAPTER 3. Chapter 2: Plan, Track, and Visualize Your Work 4. Chapter 3: Teamwork and Collaborative Development 5. Chapter 4: Asynchronous Work: Collaborate from Anywhere 6. Chapter 5: The Influence of Open and Inner Source on Software Delivery Performance 7. Part 2: Engineering DevOps Practices
8. Chapter 6: Automation with GitHub Actions 9. Chapter 7: Running Your Workflows 10. Chapter 8: Managing Dependencies Using GitHub Packages 11. Chapter 9: Deploying to Any Platform 12. Chapter 10: Feature Flags and the Feature Lifecycle 13. Chapter 11: Trunk-Based Development 14. Part 3: Release with Confidence
15. Chapter 12: Shift Left Testing for Increased Quality 16. Chapter 13: Shift-Left Security and DevSecOps 17. Chapter 14: Securing Your Code 18. Chapter 15: Securing Your Deployments 19. Part 4: Software Architecture
20. Chapter 16: Loosely Coupled Architecture and Microservices 21. Chapter 17: Empower Your Teams 22. Part 5: Lean Product Management
23. Chapter 18: Lean Product Development and Lean Startup 24. Chapter 19: Experimentation and A|B Testing 25. Part 6: GitHub for your Enterprise
26. Chapter 20: GitHub – The Home for All Developers 27. Chapter 21: Migrating to GitHub 28. Chapter 22: Organizing Your Teams 29. Chapter 23: Transform Your Enterprise 30. Other Books You May Enjoy

Picking the right migration strategy

When migrating to a new platform, you have different options:

  • High-fidelity migration: You try to migrate as much as possible to the new platform.
  • Clean cut-over migration: You only migrate the bare minimum that is necessary to start working on the new platform.

High-fidelity migrations to complex platforms have different problems. The main problem is that there is not a 1-to-1 mapping of all entities and that things just work differently on different platforms. By migrating everything over, you influence the way people use the new system. The data is optimized for the old system using old processes. Also, the time, costs, and complexity involved in a high-fidelity migration are not linear. The more you try to get to 100% fidelity, the more complex and expensive it gets, and 100% is normally not achievable at all (see Figure 21.1).

Figure 21.1 – Complexity, time, and costs for different levels of fidelity...

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