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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

Understanding metrics

In general, when running any experiment, it is important to know what it is that is being measured to determine the success or failure of the test. There could be more than one metric being collected and analyzed, but for most experiments, there is just one. LaunchDarkly's implementation of experiments requires such a metric to determine the outcome of the investigation. The second screen of the Experiments dashboard shows all the metrics that have been set up for a project:

Figure 11.4 – The Metrics dashboard

Similar to the dashboards we have seen throughout this book, such as Feature flags and Users, there is the ability to search for metrics. This can be done by using their name or description. It is possible to filter the metrics and to sort the list by several attributes. The metrics themselves show how many flags have experiments set up (Flags) that use the metric, the type of event that the metric collects data on (Event...

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