LaunchDarkly - Manages feature releases safely

Demo Summary

In this video, you’ll learn how to use LaunchDarkly’s feature flag tool. You’ll see how to turn a new chatbox on and off in 25 milliseconds. You’ll learn to test features for one person or a whole beta group. You avoid rollbacks by toggling features off if something breaks. Then, you’ll set up an A/B test on trial lengths, measure signups, and pick the best offer. LaunchDarkly helps teams release features safely and make smart choices with real user data.

AI-Detected Features

Introduction to LaunchDarklyWelcome and thanks for exploring LaunchDarkly. Learn how feature management can transform your software delivery process.
00:00
Feature Management FundamentalsDiscover how feature flags decouple deployment from release, act as gates, enable percentage rollouts and targeted releases, and support A/B testing tied to business metrics.
00:23
Demo: Toggling Features On and OffSee a chatbox feature already deployed behind a flag. Toggle it on for all users in milliseconds, then quickly turn it off to avoid a poor production experience.
01:20
Demo: Targeting an Individual UserLearn how to enable a feature for just one user by configuring flag targeting with an email attribute, allowing safe QA testing in production.
02:23
Demo: Creating Beta Groups with AttributesUse custom user attributes like account type and region to define complex beta groups. Convert them into reusable segments for consistent targeting across features.
03:30
Recap of Release ControlReview how to push code on demand, decouple release timing, and gain granular control over who sees features, reducing risk and improving user experience.
04:31
Introduction to ExperimentationUnderstand how to run data-driven experiments by associating feature flags with key performance metrics to measure impact on business goals.
04:49
Defining Experiment MetricsSet up primary and secondary metrics—such as 'started registration' and 'completed registration' events—to track user behavior across flag variations.
05:23
Building Experiments in the UIWalk through the experiment builder: name your experiment, state your hypothesis, select metrics, choose flag variations, define your audience, and launch your experiment.
06:02
Analyzing Results and Progressive RolloutReview experiment outcomes with Bayesian statistics to identify a winning variation. Then progressively roll it out to your user base for safe, data-backed releases.
07:48
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LaunchDarkly

LaunchDarkly is a feature flag and experimentation platform that helps teams release software faster and with less risk.Learn more about LaunchDarkly

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