Database Scaling

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. ...

MySQL Sharding Alternatives: Vitess vs TiDB Guide Answer-first: TiDB is the leading open-source MySQL sharding alternative, replacing fragile application-level sharding logic (Vitess, GORM Sharding) with an auto-partitioned Distributed SQL architecture. By distributing 96MB Raft Regions across TiKV storage nodes and utilizing the Percolator distributed transaction protocol, TiDB delivers horizontal write scaling, cross-node ACID transactions, and zero-downtime online DDL while maintaining 100% MySQL wire compatibility. Scaling a relational database is one of the most demanding challenges in system design. As applications grow from thousands to millions of active users, the database ceases to be a simple storage engine and becomes the primary bottleneck of the entire system architecture. In this technical guide, we explore the architectural progression of scaling MySQL—beginning with replication topologies, stepping through the complexities and operational hazards of manual database sharding (including proxy middleware like Vitess), and evaluating NewSQL alternatives, specifically the distributed architecture of TiDB. ...