Netflix: Scaling Storage for Millions of Daily Viewing Hours

The ByteByteGo newsletter article, drawing from the Netflix Tech Blog and Apache Cassandra documentation, explains how Netflix manages the massive scale of user viewing data generated daily. Initially relying on Apache Cassandra, Netflix faced challenges with increasing data volume from global expansion, new features like video previews, and inefficient data retrieval. To address these issues, Netflix redesigned its storage architecture by categorizing data, sharding it based on type and age, implementing optimizations like compression and caching, and automating data movement. This evolution allowed Netflix to improve storage efficiency, enhance retrieval speeds, and ensure a consistent user experience despite exponential data growth.