How Netflix Tudum Supports 20 Million Users With CQRS

Netflix redesigned their Tudum platform architecture to support 20 million users by replacing a traditional CQRS implementation with RAW Hollow, an in-memory object store. The original design used Kafka and Cassandra with caching layers, causing delays in editorial previews due to eventual consistency. By embedding RAW Hollow directly into microservices, they eliminated external datastores and reduced page construction time from 1.4 seconds to 0.4 seconds while enabling near-instant editorial previews. The compressed in-memory approach stores three years of data in just 130MB while maintaining strong consistency options for critical workflows.