RedisConf18 - Redis Memory Optimization

Redis Memory Optimization Store More Data in Less Memory The document discusses 25 techniques for optimizing Redis memory usage: 1) Normalize data to avoid duplication and store related data together 2) Use more efficient serializers like MsgPack or ProtoBuf instead of JSON 3) Compress data using algorithms like Snappy or Brotli to reduce memory usage 4) Combine small objects into hashes to improve memory efficiency Some specific techniques include using integer IDs instead of strings, sharding large hashes, enabling compression on lists, upgrading to Redis 3.2 for its more efficient list encoding, and using bitfields to pack integer and fixed-width data. The document also provides tips on configuration options and using specialized data