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DevOps

Flagsmith

IntermediateTool12.5K learners

Flagsmith is an open-source feature flag and remote configuration service that lets development teams turn features on or off, target them to specific user segments, and roll them out gradually without redeploying code.

Definition

Flagsmith is an open-source feature flag and remote configuration service that lets development teams turn features on or off, target them to specific user segments, and roll them out gradually without redeploying code.

Overview

Feature flagging tools like Flagsmith exist to decouple deploying code from releasing features. Instead of shipping a change directly to every user, a team wraps a feature in a flag, deploys it disabled, and then enables it gradually — to internal testers first, then a percentage of users, then everyone — using a dashboard rather than a new deployment. Flagsmith provides SDKs for many languages and frameworks, a management API, and self-hosting options alongside its managed cloud offering, which appeals to teams that want to keep flag data inside their own infrastructure alongside tools like Docker and Kubernetes. It supports segment-based targeting, A/B testing, and remote configuration values beyond simple booleans. In a typical workflow, flags are checked at runtime in application code, often as part of a GitHub Actions-driven CI/CD pipeline that promotes a build through environments while the flag state — rather than the code itself — controls what end users actually see. This lets teams de-risk releases and roll back a problematic feature instantly by flipping a flag instead of redeploying.

Key Features

  • Boolean and multivariate feature flags with remote configuration values
  • User and segment-based targeting for gradual rollouts
  • Self-hosted and managed cloud deployment options
  • SDKs for numerous languages and frameworks
  • A/B testing support built on top of flag targeting
  • Audit logging and permission controls for team usage
  • REST API for managing flags programmatically

Use Cases

Gradual, low-risk rollout of new features to user segments
Instant rollback of a problematic feature without redeploying
A/B testing different feature variants for specific user groups
Decoupling release timing from deployment timing
Environment-specific configuration without code changes
Kill switches for risky or experimental functionality

Frequently Asked Questions