Featureflagit

Featureflagit is an open-source feature flag management system designed to help software teams control feature rollout and experimentation across applications. It provides a centralized platform to create, organize, and monitor feature flags, reducing deployment risk and enabling rapid iteration.

Key capabilities include dynamic rollout with percentage-based flags, granular user or segment targeting, multi-tenant support, scheduled toggles, and dependencies between flags. The system maintains an audit trail of changes and supports webhooks and metrics for observability, enabling teams to understand who changed what and when.

Featureflagit exposes APIs for server-side and client-side integration and offers SDKs for popular languages such as JavaScript, Python, Java, Go, and Ruby. Flags are stored in a backing database, with optional in-memory caches for low-latency lookups. It can be deployed self-hosted on Docker or Kubernetes, or used as a cloud-hosted service if available.

Typical use cases include progressive rollout to a subset of users, A/B testing of new features, feature gating for incident response, and personalized experiences across products. The platform emphasizes safety nets such as kill switches, rollout pause, and rollback capabilities to minimize risk during deployments.

Featureflagit is released under an open-source license and is maintained by a community of contributors. The project provides documentation, examples, and a growing ecosystem of third-party integrations. Development follows an iterative cadence with public issue tracking and community contributions.

See also: feature flag management, experimentation, canary release.