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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 Did We Learn?

In Chapter 13, Measure and Learn, we explored the techniques that we use to measure and learn from the increments of the products we deliver in a Delivery Loop by measuring the following:

  • Feedback from Showcase and Retrospective events
  • Learning from user testing
  • Capturing the results of experiments run
  • Service delivery and operational performance
  • Service level agreements, service level indicators, and service level objectives
  • Security
  • Performance
  • Culture
  • Application metrics
  • Infrastructure platform and resource usage

This learning is very important and should drive conversations, inferences, and conclusions about what was learned. This is why visualizing these metrics is so powerful. Instantly, we can all see what the current measure is, what the measure was before the last iteration of the Delivery Loop, and what the target measure is to achieve the desired outcome and impact.

If the conversation suggests we are...

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