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DevOps Culture and Practice with OpenShift

You're reading from  DevOps Culture and Practice with OpenShift

Product type Book
Published in Aug 2021
Publisher Packt
ISBN-13 9781800202368
Pages 812 pages
Edition 1st Edition
Languages
Concepts
Authors (5):
Tim Beattie Tim Beattie
Profile icon Tim Beattie
Mike Hepburn Mike Hepburn
Profile icon Mike Hepburn
Noel O'Connor Noel O'Connor
Profile icon Noel O'Connor
Donal Spring Donal Spring
Profile icon Donal Spring
Ilaria Doria Ilaria Doria
Profile icon Ilaria Doria
View More author details
Toc

Table of Contents (30) Chapters close

Preface Acknowledgements Section 1: Practices Make Perfect
1. Introduction — Start with Why 2. Introducing DevOps and Some Tools 3. The Journey Ahead Section 2: Establishing the Foundation
4. Open Culture 5. Open Environment and Open Leadership 6. Open Technical Practices – Beginnings, Starting Right 7. Open Technical Practices — The Midpoint Section 3: Discover It
8. Discovering the Why and Who 9. Discovering the How 10. Setting Outcomes Section 4: Prioritize It
11. The Options Pivot Section 5: Deliver It
12. Doing Delivery 13. Measure and Learn Section 6: Build It, Run It, Own It
14. Build It 15. Run It 16. Own It Section 7: Improve It, Sustain It
17. Improve It 18. Sustain It Index
Appendix A – OpenShift Sizing Requirements for Exercises 1. Appendix B – Additional Learning Resources

What about Legacy Systems?

People often associate Agile and DevOps with greenfield, brand-new development and see it as only applicable to start-ups and those with the luxury to start again. What about legacy systems? is a common question we get asked.

We'll show throughout this book that the Mobius loop and the foundation can apply to any kind of project and any kind of technology; greenfield or brownfield, small web app or large mainframe, on-premises infrastructure delivery or hybrid cloud technology.

We tend to start our journey on the Mobius loop at the discovery part (after building the base foundation of culture, collaboration, and technical practices). But you don't have to start there. In fact, you can start anywhere on the loop. The most important tip is to make sure you regularly travel around all parts of the loop. Do not get stuck in delivery loops and never return to discovery to revisit hypotheses and assumptions previously made. Do not get stuck in discovery...

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