Book Image

Feature Management with LaunchDarkly

By : Michael Gillett
Book Image

Feature Management with LaunchDarkly

By: Michael Gillett

Overview of this book

Over the past few years, DevOps has become the de facto approach for designing, building, and delivering software. Feature management is now extending the DevOps methodology to allow applications to change on demand and run experiments to validate the success of new features. If you want to make feature management happen, LaunchDarkly is the tool for you. This book explains how feature management is key to building modern software systems. Starting with the basics of LaunchDarkly and configuring simple feature flags to turn features on and off, you'll learn how simple functionality can be applied in more powerful ways with percentage-based rollouts, experimentation, and switches. You'll see how feature management can change the way teams work and how large projects, including migrations, are planned. Finally, you'll discover various uses of every part of the tool to gain mastery of LaunchDarkly. This includes tips and tricks for experimentation, identifying groups and segments of users, and investigating and debugging issues with specific users and feature flag evaluations. By the end of the book, you'll have gained a comprehensive understanding of LaunchDarkly, along with knowledge of the adoption of trunk-based development workflows and methods, multi-variant testing, and managing infrastructure changes and migrations.
Table of Contents (18 chapters)
1
Section 1: The Basics
5
Section 2:Getting the Most out of Feature Management
11
Section 3: Mastering LaunchDarkly

Summary

From this chapter, you should understand what is meant by the term experimentation. Here, we often deal with two distinct types of experiment to validate two different types of hypotheses: technical hypothesis and business hypothesis.

The technical hypothesis is often the first step in delivering a new feature to customers, followed by the business hypothesis, which offers innovative ideas to add value to the product and the business itself. We looked at why running experiments in production is the only place to gain the proof needed to support or discredit a business hypothesis. Being able to test in production is both safe and valuable when using feature management effectively. Testing in production in this manner poses a negligible risk when deploying code or releasing new features, and a good state can be restored quickly to the production environment if needed, offering a great opportunity to experiment.

In the final section of this chapter, we learned how to use...