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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

Section 5: Deliver It

In Section 4, Prioritize It, we moved through the Options Pivot for the first time. We took all of the learning and ideas that can come out of the practices used on the Discovery Loop and applied more practices to organize them according to their value. We used prioritization techniques to help us slice value and considered how to plan and design experiments that could be run by making use of advanced deployment capabilities offered by the OpenShift platform.

As outlined in the Mobius Outcome Delivery QuickStart Guide by Gabrielle Benefield and Ryan Shriver (freely available to download from mobiusloop.com), Mobius encourages product development through the use of continuous discovery, validation, and learning. Building products this way requires a strong foundation of culture and technical practices that enable an ongoing experimental fast release and fast feedback approach. Indeed, ongoing research and experiments are just as much part of product development...

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