Making 768 Servers Look Like One: The Future of Database Scaling

Making 768 servers look like 1

Scaling relational databases beyond a few terabytes requires moving past simple read-replicas to complex sharding. I explain how distributing data across hundreds of servers solves write bottlenecks and storage limits. By using a sophisticated proxy layer like Neki or Vitess, we can route queries intelligently, making 768 distinct servers appear as a single cohesive database to your application.

"The most difficult infrastructure component to scale is almost always the database."