Database Scaling Patterns for High-Traffic Applications
As your application grows, database performance often becomes the primary bottleneck. Whether you’re handling millions of users or processing massive datasets, understanding and implementing the right scaling patterns is crucial. Let’s explore practical strategies for scaling databases in production environments. The Three Pillars of Database Scaling Before diving into implementations, it’s important to understand the three main approaches to database scaling: Read Replicas: Scale read operations by distributing them across multiple database copies Sharding: Partition data across multiple databases to distribute write load Caching: Reduce database load by serving frequently-accessed data from memory Let’s explore how to implement each of these strategies in a production environment. ...