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SAFe® for DevOps Practitioners

You're reading from   SAFe® for DevOps Practitioners Implement robust, secure, and scaled Agile solutions with the Continuous Delivery Pipeline

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781803231426
Length 330 pages
Edition 1st Edition
Concepts
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Author (1):
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Robert Wen Robert Wen
Author Profile Icon Robert Wen
Robert Wen
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Table of Contents (21) Chapters Close

Preface 1. Chapter 1: Introducing SAFe® and DevOps 2. Part 1 Approach – A Look at DevOps and SAFe® through CALMR FREE CHAPTER
3. Chapter 2: Culture of Shared Responsibility 4. Chapter 3: Automation for Efficiency and Quality 5. Chapter 4: Leveraging Lean Flow to Keep the Work Moving 6. Chapter 5: Measuring the Process and Solution 7. Chapter 6: Recovering from Production Failures 8. Part 2:Implement – Moving Toward Value Streams
9. Chapter 7: Mapping Your Value Streams 10. Chapter 8: Measuring Value Stream Performance 11. Chapter 9: Moving to the Future with Continuous Learning 12. Part 3:Optimize – Enabling a Continuous Delivery Pipeline
13. Chapter 10: Continuous Exploration and Finding New Features 14. Chapter 11: Continuous Integration of Solution Development 15. Chapter 12: Continuous Deployment to Production 16. Chapter 13: Releasing on Demand to Realize Value 17. Chapter 14: Avoiding Pitfalls and Diving into the Future 18. Assessment Answers 19. Index 20. Other Books You May Enjoy

Testing end to end

At this point, we have performed tests on individual pieces of code and ensured the correct functionality while maintaining security. Here, we start to integrate the new changes of code with the existing code base and evaluate the system as a whole by testing the system end to end.

The practices that allow for true end-to-end testing of the system will be examined in the upcoming sections. Let’s dive in.

Equivalent test environments

System-level testing should be performed in an environment that resembles the production environment as closely as possible. Testing the solution in an environment with as many similarities to the production environment as possible enables higher confidence that the solution will work when actually released into the actual production environment. The more similarities a test environment has with the production environment, the fewer variables come into play when problems are found and troubleshooting for the root cause...

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