Case Study: Udemy achieves seamless personalization and reduced downtime with Redis Enterprise (Redis)

Udemy’s Seamless User Experience Personalizes Your Search for Education

Udemy, a global online learning marketplace, faced data loss, downtime and operational challenges with other databases as it scaled its platform and personalized user experiences. With growing application usage and plans to expand across locations, Udemy needed a reliable, easy-to-manage data layer for real-time analytics, session storage, caching and search.

Udemy adopted Redis Enterprise—a highly available, auto-sharding in-memory platform with cross-zone/multi-region replication and 24×7 support—to run a 100–500 GB dataset powering high-speed transactions, personalization and e‑commerce use cases. The move delivered reduced downtime, more stable high performance, seamless scaling and improved monitoring, enabling Udemy to migrate additional data from RDBMS and open-source caches into Redis Enterprise.

Udemy

Amy Weiner

Engineer