Case Study: Red Bull TV achieves scalable streaming for 1M concurrent viewers and personalized experiences with Couchbase

Scalable video platform supports over a million concurrent viewers using Couchbase

Red Bull TV is a global multi-platform channel delivering 1,000+ hours of custom content across connected TVs, smartphones, tablets and web. Facing a complex backend (MongoDB and Redis) and the need for personalized, high-performance, highly scalable viewing during peak events, Red Bull TV required a simpler architecture that could scale with demand.

By deploying Couchbase Server as an in-memory key-value layer for user profiles, sessions and caching and integrating it with Vertx and Kafka, Red Bull TV achieved low-latency performance and real-time analytics. The solution supports up to 1 million concurrent viewers during key events, improves viewer experience, and scales in lock-step with demand.

Red Bull TV