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Feature Management with LaunchDarkly

You're reading from   Feature Management with LaunchDarkly Discover safe ways to make live changes in your systems and master testing in production

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781800562974
Length 314 pages
Edition 1st Edition
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Author (1):
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Michael Gillett Michael Gillett
Author Profile Icon Michael Gillett
Michael Gillett
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Table of Contents (18) Chapters Close

Preface 1. Section 1: The Basics
2. Chapter 1: Introduction to Feature Management with LaunchDarkly FREE CHAPTER 3. Chapter 2: Overview of Feature Management 4. Chapter 3: Basics of LaunchDarkly and Feature Management 5. Section 2:Getting the Most out of Feature Management
6. Chapter 4: Percentage and Ring Rollouts 7. Chapter 5: Experimentation 8. Chapter 6: Switches 9. Chapter 7: Trunk-Based Development 10. Chapter 8: Migrations and Testing Your Infrastructure 11. Section 3: Mastering LaunchDarkly
12. Chapter 9: Feature Flag Management in Depth 13. Chapter 10: Users and Segments 14. Chapter 11: Experiments 15. Chapter 12: Debugger and Audit Log 16. Chapter 13: Configuration, Settings, and Miscellaneous 17. Other Books You May Enjoy

Chapter 8: Migrations and Testing Your Infrastructure

So far, we have mostly been concerned with how feature management and LaunchDarkly can be used to deliver new functionality to the frontend experiences through rollouts and experiments. In this chapter, we will look at a different way in which feature management can be used on backend systems. When used in this way, feature flags can be used to help migrate entire systems and even offer the opportunity for new types of testing.

We will build on what we learned in Chapter 4, Percentage and Ring Rollouts, to understand how a migration can be performed. In that chapter, I touched upon some of the scenarios that will be looked at in greater detail within this chapter.

Many of the examples provided so far have helped you make relatively small changes to applications, especially when it comes to running experiments, but there are occasions where much larger architectural changes need to be made to systems. Feature management can...

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