LaunchDarkly

LaunchDarkly

LaunchDarkly is a feature flag and A/B testing platform that allows developers to deploy code in afeature-toggled state, enabling toggling features on and off at the server-side. It helps control feature releases without re-deploying code.
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feature-flags ab-testing code-toggling serverside-feature-control

LaunchDarkly: Feature Flag & A/B Testing Platform

LaunchDarkly is a feature flag and A/B testing platform that allows developers to deploy code in a feature-toggled state, enabling toggling features on and off at the server-side. It helps control feature releases without re-deploying code.

What is LaunchDarkly?

LaunchDarkly is a feature management platform that allows software teams to deploy features toggled 'off' then selectively enable them for specific users, locales or user segments. This allows developers, product managers and ops teams to control feature releases without re-deploying code.

Key capabilities include:

  • Feature Flags - Deploy new features toggled off, then selectively roll out to enable for specific users, user segments or other attributes. Use flags to implement canary launches, dark launches, or kill switches.
  • A/B Testing - Run experiments on UI changes, workflows, algorithms and more with an integrated A/B testing framework.
  • Product Analytics - Understand user behavior and measure the impact of feature flags and experiments with built-in analytics.
  • Gradual Rollouts - Release features to an increasing percentage of users to mitigate risk.
  • Targeting - Target feature flags to specific user groups based on attributes like geolocation, email domain, user ID.
  • Environments - Define environments like development, staging production to manage flags across the development lifecycle.

Overall, LaunchDarkly gives software teams more control over feature releases for faster, safer continuous delivery.

LaunchDarkly Features

Features

  1. Feature flagging and toggling
  2. A/B testing
  3. User segmentation
  4. Progressive rollouts
  5. Targeting rules
  6. Analytics and experimentation

Pricing

  • Freemium
  • Subscription-Based

Pros

Easy to implement feature flags

Flexible targeting rules

Built-in A/B testing

Real-time flag changes

Detailed analytics

Cons

Can get complex with many flags

Requires some re-architecting

Additional service dependency

Can enable bad practices if overused


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