GORM

MySQL Scalability & Sharding: Vitess vs TiDB (10k+ TPS) Answer-first: Scaling MySQL for high-traffic applications involves a phased progression: tuning InnoDB buffer pools and slow queries (0–500 TPS), offloading reads via ProxySQL and read replicas (500–3,000 TPS), and adopting horizontal write scaling (3,000+ TPS) via Vitess sharding or TiDB Distributed SQL to maintain sub-50ms P99 query latencies. 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. ...

Vitess vs GORM Sharding: MySQL Write Scaling in Go Answer-first: Horizontal MySQL write scaling uses Vitess proxy sharding or application-level GORM shard key routing to distribute table data across independent database master instances. While Vitess provides transparent VTGate query routing and zero-downtime resharding for large teams, GORM Sharding offers a lightweight Go-native AST-parsing solution for single-service architectures. When your application reaches millions of users, a single database instance will inevitably become the biggest bottleneck in your entire architecture. To solve this, MySQL database scaling becomes mandatory. You must Scale DB for Microservices using Horizontal Scaling techniques. ...