Scaling

Having a shared vocabulary across database, software, and infrastructure teams is critical when working together to tune latency issues. I’ve been in many incident rooms where the only report is “the application is slow” and had to unwind a series of questions: What do you mean by slow? Where do you see this? What parts are slow? If everyone in the room had read Enberg’s Latency, solving these kinds of incidents would be much faster.

Today’s global and distributed applications often need to serve user requests from a single data source across different regions. While providing data scaling and protection against network outages, ensuring low-latency access to data is critical for providing a seamless user experience. YugabyteDB, a distributed SQL database, is designed to handle global data workloads efficiently. In this blog post, I’ll share some techniques to optimize read and write latency in a multi-region YugabyteDB cluster.

Modern distributed databases split large tables into tablets to enable parallel processing and efficient data distribution. Finding the right tablet size impacts everything from query performance to operational overhead. Let’s explore how to approach tablet sizing systematically to achieve optimal performance.