Case Study: Coffee Meets Bagel achieves lightning-fast, scalable real-time matching with Redis Enterprise

Coffee Meets Bagel Meets Redis Enterprise to Innovate in the Face of Real Time Performance Challenges

Coffee Meets Bagel, a curated dating app with over three million users, needed consistently low latency and reliable scale as it expanded internationally. Its Cassandra deployment suffered partial outages under concurrent updates, and a self‑managed Redis/ElastiCache setup lacked the fault tolerance, automation, and vendor support required for a production‑critical datastore and real‑time recommendation engine.

The company moved to Redis Enterprise VPC as a managed, cloud‑agnostic solution to power caching, real‑time recommendations, queuing and primary storage. Redis Enterprise handled fast data ingest (≈1 TB/hr), enabled decommissioning of Celery, increased worker concurrency from 3 to 18, delivered 99.99% uptime with 24/7 support and automated operations, and used Redis on Flash to cut AWS costs by roughly 40%—while positioning Coffee Meets Bagel for future global active‑active replication.

Coffee Meets Bagel

Stephen Brandon

Engineering Manager, Infrastructure