Blog
Get the RSS feedBy Patrick Reynolds |
You can now use vector search and storage in your PlanetScale MySQL database. →
By Vicent Martí |
A novel technique for implementing dynamic language interpreters in Go, applied to the Vitess SQL evaluation engine →
By Benjamin Dicken |
Take an interactive journey through the history of IO devices, and learn how IO device latency affects performance. →
By Benjamin Dicken |
Run Vitess workflows right from within PlanetScale. Migrate data from unsharded to sharded keyspaces, manage traffic cutover, and easily revert when problems arise. →
By Holly Guevara |
You can now use the vector data type for vector search and storage in your PlanetScale MySQL database. →
By Shlomi Noach |
Design considerations for implementing a database throttler with a comparison of singular vs distributed throttler deployments. →
By Benjamin Dicken |
B-trees are used by many modern DBMSs. Learn how they work, how databases use them, and how your choice of primary key can affect index performance. →
By Shlomi Noach |
PlanetScale now supports instant DDL. Where eligible, you can run deploy requests that complete near-instantly. →
By Benjamin Dicken |
For big databases, IOPS and throughput can become a bottleneck in database performance. Learn how sharding helps scale out IOPS and throughput beyond the limitations of a single server. →
By Matt Lord |
Data migrations are a critical part of the database lifecycle, and are sometimes necessary for version upgrades, sharding, or moving to a new platform. In many cases, migrations are painful and error-prone. In this article, we walk through how migrations are performed at PlanetScale, and offer advice on how to improve the migration experience. →
By Benjamin Dicken |
Sharding a database comes with many benefits: Scalability, failure isolation, write throughput, and more. However, one of the lesser-known benefits comes from improved backups and restore performance. →
By Matt Lord |
Learn the basics of Change Data Capture (CDC) and how to leverage Vitess VStream API to build data pipelines. →
By Shlomi Noach |
Learn about the options for running non-blocking schema changes natively to MySQL, using Vitess, or other tools →
By Andres Taylor |
The Vitess query planner takes multiple passes over a query plan to optimize it as much as possible before execution. A recent tricky bug report led to an improvement in how the optimizer functions. →
By Benjamin Dicken |
Large databases often have a small number of very large tables that makes scaling difficult. How can you scale with these while keeping your database performant? This article covers three techniques. →