Handling 5 million daily inserts requires careful architectural planning. This article explores a design using Kafka for ingestion, MySQL with two-level sharding for storage, Redis for hot data caching, and a hot-cold tiering strategy for archival. Key techniques include bitwise routing for even data distribution, optimized snowflake IDs to avoid clock skew, and batch writes for efficiency. The author also addresses common challenges like shard expansion, hotspot skew, and clock rollback. This is a valuable reference for backend engineers building scalable logging systems.
A practical guide to handling 5M daily inserts with Kafka, MySQL sharding, Redis caching, and hot-cold tiering.