feature-flag-architecture

Deterministic percentage rollouts ensure users consistently see the same flag state by hashing evaluation context identifiers. This approach safely controls feature exposure across targeted tenants without random fluctuations during staged releases.

Feature flags should be categorized by type: release, kill_switch, ops, experiment, and permission. Defining flag types and scopes ensures clear lifecycle management and appropriate usage for operational control and staged rollouts.

Tenant targeting uses evaluation context to expose features only to specific tenants or users. This allows controlled staged rollouts and safe experimentation within defined scopes across your SaaS environment.

In-process caching stores flag configurations locally to evaluate feature flags rapidly without external network calls. This reduces latency during evaluation while maintaining deterministic percentage rollouts and consistent user targeting.

Feature flag debt is prevented by attaching expiry and ownership metadata to each flag. Automated removal processes retire stale flags after their lifecycle ends, ensuring clean code and reducing technical debt.

Monitoring and alerts track feature flag evaluation metrics and rollout health across tenants. This observability detects issues during staged rollouts, enabling quick kill switch activation if exposure causes errors.