Who is LaunchDarkly?
LaunchDarkly is a feature management and feature flagging platform (cloud DevOps) that enables controlled software delivery, experimentation, and releases across applications and services.
- Feature flag management for applications, services, and microservices (cloud DevOps).
- Progressive delivery capabilities such as gradual rollouts, percentage-based releases, and canary-style deployments (cloud DevOps).
- Experimentation and A/B testing on feature variations tied to user segments and release strategies (experimentation and optimization).
- Targeting and segmentation for feature exposure based on attributes, audiences, or environments (customer experience and personalization).
- Enterprise-grade governance with policy controls, audit trails, and integrations into Continuous Integration and Continuous Deployment (CI/CD) and observability tools (DevSecOps and governance).
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More About LaunchDarkly
LaunchDarkly provides a feature management platform (cloud DevOps) that decouples feature releases from code deployments, allowing enterprises to control feature lifecycles through feature flags across web, mobile, backend, and service-based architectures. Technical teams use the platform to manage feature exposure in production, pre-production, and test environments without requiring new deployments for each configuration change.
The platform uses feature flags as a core abstraction to toggle functionality on and off at runtime based on rules, user attributes, or environments. Flags can be configured for gradual rollouts, percentage-based allocation, or specific audiences, which supports approaches such as canary releases, blue-green style rollouts, and phased deployments. This aligns with continuous delivery and progressive delivery practices within DevOps pipelines, where deployment and release are treated as separate steps.
LaunchDarkly integrates with CI/CD tools, source control systems, and incident management and observability platforms (DevOps tooling), enabling feature flag changes to be part of automated workflows, approvals, and monitoring. Engineering teams can connect flag changes to version control references, issue trackers, or runbooks, and can observe the operational behavior of new features through metrics and alerts in connected tools.
For experimentation (experimentation and optimization), LaunchDarkly supports running A/B tests and experiments on features managed by flags. Teams can define variations of a feature, allocate traffic between them using the platform’s targeting rules, and connect experiment outcomes to business or technical metrics. This allows organizations to treat feature releases as controlled experiments while maintaining a unified mechanism for release control.
The platform includes enterprise-oriented capabilities such as Role-Based Access Control (RBAC), approval workflows, audit logging, and policy management (DevSecOps and governance). These features are used by larger organizations to align feature flag usage with compliance and security requirements, and to govern which teams or roles can modify production flags and environments.
From an architecture perspective, LaunchDarkly uses SDKs that applications embed to evaluate feature flags locally, while configuration and targeting rules are managed centrally through the LaunchDarkly service. This client-server model reduces latency for flag evaluation and supports multiple programming languages and platforms. The platform fits into directories and marketplaces under categories such as feature management, feature flagging, progressive delivery, and experimentation, serving engineering, product, and platform teams that manage modern application delivery workflows.
Our description of LaunchDarkly. Updated January 2026.
