Once initialized, LaunchDarkly’s SDKs cache all the information they need to process flags, meaning your server can process millions of flag changes or your client-side application can render without suffering latency issues.
Consistent experience
Feature flags let you run canary tests, progressively deliver features, migrate to microservices, and more. These activities cut across teams within your company. Using LaunchDarkly feature flags provides all of them with a single and consistent experience.
SDK-powered
LaunchDarkly’s SDKs make integrating feature flags easy while also providing tons of bonus features like caching, streaming, and more. We support every major programming language across server, client, and mobile applications.
No need to wait for a redeploy. Our streaming architecture ensures that your applications receive flag changes instantly, with flag updates processing on all connected clients within 200 milliseconds or less
Do more with feature flags than you ever thought possible.
Beyond the boolean
Handle everything from the basic (but powerful) true-false scenarios to more complex use cases requiring multivariate flags such as strings, numbers, or JSON objects.
Knowing a feature works isn’t the same as knowing whether it’s the right feature. A/B testing and experimentation with feature flags allows you to know both, just using a single tool.
There’s no better way to ensure the success of a release in production than to test changes in production. Feature flags enable you to do that without impacting your users.
Use feature flags to mitigate the impact of incidents by immediately disabling problematic features, without the delay or negative impact of rollbacks, code changes, or redeploys.
Combining feature flags with powerful targeting capabilities makes them the perfect tool for managing entitlements, including anything from beta feature access to full-blown SaaS tenant entitlements.
LaunchDarkly feature flags give you the tools to manage releases on your terms whether through percentage-based rollouts, targeted audience rollouts, canary releases, or more.
Effortlessly find, contextualize,
and arrange all your feature flags
Compare and copy
Compare feature flag configuration settings, including targets and variations, between flags set up in two different environments. For example, compare and clone rules from a staging environment into a production environment, without potentially costly manual errors.
Live Events

Live Events shows you a real-time stream of events arriving in LaunchDarkly from your app. Quickly verify that your flags are set up correctly. Live Events will help you collect more data and decide what to do next or even identify flags that are no longer in use.
Audit logs
The audit log in LaunchDarkly keeps a record of every change made to every flag in your codebase, making it easier to maintain regulatory compliance and retain critical contextual information.

Flag defaults

Create flag configurations that embody best practice and then reuse those flag defaults across multiple projects. Speed up flag creation, remove uncertainty, and reduce risk.

The ability to roll out features to specific audiences turns a simple on/off switch into a sophisticated targeting engine.
Context-based targeting
Targeting isn’t just about users. LaunchDarkly’s context-based model allows you to create targeting rules that are as simple or as complex as the needs of your application require. Target users, devices, environments, company, location or just about anything else.
Segments make it easier to group similar targets into a cohort and create feature flag rules for it. You can even import large user segments from product analytics software providers—and sync changes to those segments between your provider and LaunchDarkly.
Progressive rollouts
LaunchDarkly provides the tools to release features gradually and gather insights that ensure a feature’s success. Progressively make a feature available to an increasing number of users over time via percentage-based rollouts or expanding segments.
Prerequisites
Prerequisites create feature flag hierarchies that can simplify targeting. Create rules that target each child individually or target a whole subset of child flags via their parent. Prerequisites also help prevent potential errors when two flags are dependent on each other.
