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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

Using LaunchDarkly to experiment

When working with experiments within LaunchDarkly, we will still be using feature flags, as we explored in Chapter 3, Basics of LaunchDarkly and Feature Management. As we progress through this section, you will want to create some new flags to set up experiments and get to grips with the functionality that LaunchDarkly offers.

The experimentation functionality within LaunchDarkly couples a feature flag with some form of metric that can prove the success or failure of the test. In that regard, we will be using the rollouts from Chapter 4, Percentage and Ring Rollouts, to deliver two or more variants of a feature to the users. In the scenario of running an experiment, one of those variants should be the control (baseline or benchmark), which is the current experience that's available to customers. In any experiment, the existing implementation (including when there is not an existing feature) should be considered the baseline. The new implementation...

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