GORM

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. This guide walks through every stage of the MySQL scaling ladder, from buffer pool tuning through TiDB migration, with Go-specific implementation patterns at each step. ...

Answer-first: Vitess vs GORM Sharding for MySQL write scaling: VReplication zero-downtime vs. application-level sharding — ErrMissingShardingKey tradeoffs in Go. 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. This article delves into the differences between scaling methods and compares the two most popular Sharding architectures today: Middleware-level Sharding (Vitess) and Application-level Sharding in Go (GORM Sharding plugin). ...