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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

14. Build It

"It works on my machine"—a phrase heard time and time again by developers, testers, and operators as they write, test, and verify their code. It works on my machine is a phrase rooted in siloed teams where ownership of the problem moves around like a tennis ball on a court at Wimbledon. The metaphorical wall that exists between teams that have operated in silos, passing work over the wall and not taking full responsibility for the end-to-end journey is a problem that has been around for decades. We need to break away from this behavior! From now on, it's not, "It's working on my machine" but rather, "How has your code progressed in the build system?" The build and deployment pipeline our code runs through is a shared responsibility. In order for this to be the case, all team members must contribute to the pipeline and be ready to fix it when it breaks.

Figure 14.1: It works on my machine

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