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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
Author Profile Icon Donal Spring
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

Testing Testing Testing!

Up to this point, we've spoken about some of the tools we can use to move application code from ideas through compilation and into deployment. But how do we know the stuff we've built is actually working as we expect it to? If we create a pipeline that just compiles code and moves it to production – is it done? No, there are testing quality steps and gates that we need to introduce into our software pipelines!

The Test Automation Pyramid

How do we know our feature works as we expect it to? We should test it and see! It is not always clear how we should test our feature, nor is it clear when we have done too much or not enough testing. Should we create test instructions and manually test the feature? Should we test the feature in isolation? Should we test all its constituent parts or just the whole thing? What is a definition of a unit test exactly?

Let's face it, testing is complicated. We are going to advocate for creating not...

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