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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

Viewing experiment events within the Debugger

It is important to be able to confirm that experiment metric events are being tracked correctly by your application and that LaunchDarkly is recording them as expected. The Debugger shows summarized information for the metric events, just as it does with flags and users:

Figure 12.8 – Viewing experiment metrics within the Debugger

There are four key numbers that this screen presents. They include the following:

  • metrics
  • page view events
  • click events
  • custom events

The first is the total number of metrics detected during the session. The other three numbers relate to the types of metrics. These types of events were detailed in Chapter 11, Experiments. Viewing the totals of the metric types in this way, again, provides a quick overview of whether things are working as expected. If the Debugger is used on a test environment after implementing the tracking of a new metric, it can be...

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