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DevOps Culture and Practice with OpenShift

You're reading from   DevOps Culture and Practice with OpenShift Deliver continuous business value through people, processes, and technology

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781800202368
Length 812 pages
Edition 1st Edition
Concepts
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Authors (5):
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Noel O’Connor Noel O’Connor
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Noel O’Connor
Mike Hepburn Mike Hepburn
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Mike Hepburn
Ilaria Doria Ilaria Doria
Author Profile Icon Ilaria Doria
Ilaria Doria
Donal Spring Donal Spring
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Donal Spring
Tim Beattie Tim Beattie
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Tim Beattie
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Toc

Table of Contents (30) Chapters Close

Preface Acknowledgements Section 1: Practices Make Perfect FREE CHAPTER
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

Differentiating between Primary Outcomes and Enabling Outcomes

In the previous two chapters, we used several different practices to discover the Target Outcomes. Some of them are more functional-, application product-, and business-focused (the Why and Who), and some are more non-functional-focused (the How).

As we discover these different types of outcomes, we can explore relationships between them and see whether a hierarchy exists or not.

Gabrielle Benefield and Ryan Shriver explain7 that Enabling Outcomes, such as decreasing time to onboard new developers, improving test automation and reducing the time to build and deploy code, will hopefully improve primary outcomes such as improve customer experience.

This may just be a hypothesis that needs validation through experimentation and delivery.

Let's look at some common examples of outcomes that are a mix of primary and enabling outcomes.

  • Increasing Speed...
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