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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

Delivery cadence

Even with cross-functional, autonomous teams, you'll still have some interdependencies and communication flow occurring between the teams. In the first chapters of this book, when I explained the flow of work and metrics, I focused on efficiency, flow, batch size, and a continuous delivery value. But you still need some cadence to control your flow. In Scrum, this is called empirical process control. After a certain time, you pause to inspect and adopt – not only what you deliver but also your process and team dynamics. This time span is called a sprint in Scrum. I don't like that term because it implies a fast pace, and development should have a constant, steady pace. You don't sprint if you want to run a marathon – and product development is a marathon and not a series of sprints (but a marathon does not match with the analogy of rugby, of course). But no matter what you call these intervals, they are important for continuous learning...

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