Redis: Reducing Memory Usage
Blog post from Stream
Redis users often start with the platform but may transition to Cassandra due to cost concerns, particularly as Redis becomes expensive to maintain. Stream, which provides a hosted API for scalable newsfeeds and activity streams, also leverages Cassandra. To mitigate the high memory usage of Redis, several strategies can be employed. These include using efficient serialization formats like JSON or Protobuf instead of default serialization mechanisms, employing compression methods such as LZO or Snappy for large datasets, and storing only essential data in Redis while using fallback disk-based storage for less critical information. Additionally, normalizing data storage, setting data expirations, and choosing the appropriate eviction policy like LRU caching can help optimize Redis memory usage. Before moving away from Redis, it's advisable to explore these optimization techniques.