LaunchDarkly is a feature flag management platform. Flags are evaluated client-side or server-side via SDKs in 30+ languages, with a single flag definition controlling exposure across web, mobile, and server environments from one dashboard.
Guarded Rollouts progressively increase the percentage of traffic receiving a new feature while an ML model monitors configured metrics (latency, conversion rate, error rate). When the model detects a statistically significant regression, the rollout pauses or reverts at the flag layer without redeployment. LaunchDarkly is the first FedRAMP-authorized feature management product.
Targeting rules evaluate flag variants based on user attributes, session context, or percentage rollouts. The Experimentation module runs A/B tests tied to flag variants with p-value tracking and multi-metric scorecards. Flag lifecycle management detects staleness and maintains an audit trail of every targeting change. The platform adds a runtime dependency on the LaunchDarkly relay proxy or SaaS SDK endpoint; applications require a fallback behavior when flag evaluation is unavailable.
