Handling Millions of Records in Redis – Best Strategies?

Hey,

Hope you're keeping well.

Storing millions of records under a single Redis key is a scalability bottleneck because large LRANGE or ZRANGE calls block Redis’ single-threaded event loop. In .NET, partition the feed into multiple keys—e.g., per user, per time window—using a sharding strategy so retrieval is scoped to smaller datasets. Use sorted sets for time-ordered feeds and apply pagination via ZRANGEBYSCORE or ZREVRANGE to avoid loading the entire dataset. For serialization, prefer compact binary formats like MessagePack with StackExchange.Redis to reduce memory overhead and CPU cost. If hosted on Azure, consider Azure Cache for Redis with clustering enabled to distribute keys across shards for horizontal scaling.

Thanks and regards,

Taz