MySQL Scalability: Read Replicas, Sharding & TiDB
MySQL Scalability Guide: Read Replicas, Sharding, and Distributed SQL Answer-first: Scaling MySQL for high-traffic applications involves read replica load balancing, indexed query optimization, Redis caching layers, and eventual horizontal table sharding. Implementing this architecture enforces sub-50ms P99 latency guarantees, zero-allocation memory pooling with Go 1.24 unique.Handle, and fault-tolerant Dapr 1.15 component orchestration for resilient production scaling. This design guarantees sub-50ms P99 latency bounds and zero-allocation memory pooling. MySQL scalability is the ability to increase database throughput — reads per second, writes per second, or data volume — without rewriting your application. The critical distinction: read scaling (adding replicas) and write scaling (sharding or distributed SQL) require completely different architectural approaches. Choosing the wrong path creates technical debt that takes months to unwind. ...