HOW NETFLIX STORES 140 MILLION HOURS OF VIEWING DATA PER DAY

Summary from the TLDR Web Dev newsletter

Netflix tackled the challenge of storing massive amounts of viewing data by evolving its time-series data storage system. Initially relying on Apache Cassandra, its team faced scalability issues with increasing data volume from video previews and global expansion. They redesigned its architecture by categorizing data into Full Title Plays, Video Previews, and Language Preferences, and sharding data by type and age.