Gain full visibility into how a feature is performing over time. See how changes to targeting rules, new variations, or increased traffic affect application performance and user engagement. Flag Insights give teams confidence that a new rollout has gone well, surface unexpected user behavior, and identify opportunities for improvement.
Export real-time event data from LaunchDarkly—including feature flag requests, analytics events, custom events, experimentation events, and more—to your preferred analytics tools for further investigation. Data Export helps development and data science teams understand a feature’s impact on key metrics. And it powers predictive analytics and AI programs.
Track every change to your feature flags. The Audit Log is like an instant replay camera for LaunchDarkly, and helps teams maintain compliance with change management policies. Identifying exactly when a change was made helps you manage risk and resolve incidents more quickly.
Gather metrics on how your application and team members use LaunchDarkly. Better plan for the future and continuously improve your feature management processes. Visualize and review trends on the number of client connections, client-side MAUs, experiments, and data exports used over a given time period.
Enjoy complete trust in your LaunchDarkly feature flags with real-time insights into the events your application is sending over. The Debugger lets you quickly verify whether LaunchDarkly flags are set up as intended and dig deeper when issues arise.
Feature flags are a critical piece of modern development, and LaunchDarkly brings this part of continuous delivery to the masses.
We've been able to roll out new features at a pace that would've been unheard of a couple of years ago.