Redis memory optimization sripathi, CTO hashedin

The document provides tips for optimizing memory usage when working with Redis. It recommends: 1) avoiding redundant data in objects; 2) using more efficient serialization formats like Protobuf instead of JSON; and 3) storing smaller strings and values together in hashes to reduce overhead. Additional tips include using intsets for numeric IDs in sets, HyperLogLog for cardinality counting, and bitmaps for access control flags. Redis configuration options like hash-max-ziplist-entries can be tweaked to further improve memory usage. For analysis, the redis-rdb-tools GitHub project is recommended.