Optimizing a Fast Feature Store for Costs: ShareChat's Lessons Learned

ShareChat reduced costs for its billion-scale feature store after scaling from 1 million to 1 billion features per second without scaling the database. The team redesigned the schema to store features as protocol buffers and optimized tile configurations, cutting required rows from 2 billion to 73 million per second.