Feature Flag Rollout System

Progressive rollouts, A/B testing, kill switches, beta programs, canary deployments

• Progressive rollouts with instant rollback
• Experiments that need trustworthy exposure data
• Teams enforcing admin RBAC on production changes

The client SDK evaluates flags locally from a streamed config, so the request path never blocks on a network call. Redis holds the hot flag state with a last-known-good fallback, PostgreSQL is the audit trail, and decisions and exposures are recorded server-side for trustworthy experiments. Admin changes require an authenticated RBAC check.

Flag evaluation is local, so it scales with the client. Redis keeps evaluation off the database, and Analytics receives exposure events asynchronously in batches rather than on the request path.

Track evaluation latency, cache hit ratio, stream reconnect rate and A/B significance. Flag changes are audited in PostgreSQL, and the admin path is the privileged surface to monitor.

• Cache invalidation staleness after a kill switch
• Exposure event volume from high-traffic surfaces
• Admin change auditability across environments

Flag evaluation is synchronous and local; config updates stream from the Flag Service and exposure/decision events are sent asynchronously to Analytics. Only the initial bootstrap and reconnects touch the network.

Add a dedicated experiment dashboard reading Analytics, explicit pub/sub invalidation for cache coherence, and per-environment approval rules on the admin path.