Feature Flag Rollout System
DevOpsStarterSingle teamFeature flag system with real-time evaluation engine, Redis hot cache, PostgreSQL source of truth, and A/B impression tracking. Use for progressive rollouts, killswitches, and experimentation.
Recommended for: Progressive rollouts
Use Case
Progressive rollouts, A/B testing, kill switches, beta programs, canary deployments
Best Fit Scenarios
- Progressive rollouts
- A/B testing
- Kill switches
Stack Breakdown
Architecture Layers
Components by Category
frontend
backend
database
Why This Topology Works
Flags are evaluated server-side for consistency, cached in Redis for sub-millisecond reads. PostgreSQL provides the audit trail. Analytics closes the loop on A/B test outcomes.
Scaling Notes
Redis cache means flag evaluation doesn't hit the database. Analytics writes are batched and async. The flag service is stateless and horizontally scalable.
Observability
Track flag evaluation latency, cache hit ratio, and A/B test statistical significance. Alert on unexpected flag state changes.
Typical Bottlenecks
- Frontend rendering and bundle delivery under peak traffic
- Service latency and timeout behavior on critical routes
- Write amplification and query contention on primary stores
Async Flow and Reliability
The flow is mostly synchronous. Add queue-backed workers for long-running or failure-prone operations to protect request latency.
Upgrade Path
Begin with a single deployable service and one datastore. Add background workers and dedicated observability as throughput grows.
Operating Envelope
Complexity is marked as Starter with an intended scope of Single team. Use this as a planning baseline before adapting the template to your reliability and team constraints.