Scaling to 10k Concurrent Connections
How we used Redis & Celery to remove connection bottlenecks and keep real-time systems available under load.
Engineering Core
When managing live real-time applications such as high-concurrency seat locking and real-time transit telemetry, connection spikes can overwhelm standard relational databases.
Architecture Highlights:
- Redis Pub/Sub & Memory Locks: Ephemeral state caching and atomic distributed mutexes.
- Celery Worker Clustering: Offloading async calculations, email dispatches, and push notifications to dedicated background workers.
- Connection Pooling: Utilizing PgBouncer to keep PostgreSQL memory footprints predictable under intense spikes.
- Redis
- Celery
- Distributed Systems
- Performance