Blog
Get the RSS feedYou can now create single node Postgres databases on PlanetScale starting at just $5. →
On 2025-10-20, there was an incident that affected PlanetScale, initially caused by DNS misconfiguration in one of PlanetScale’s service providers, followed by several hours of capacity constraints and network instability. →
Postgres 18 brings a significant improvement to read performance via async I/O and I/O worker threads. Here we compare its performance to Postgres 17. →
A new hybrid design for scalable vector indexes and a reference implementation in MySQL →
You can now easily set up PlanetScale databases with Cloudflare Workers using this native integration. →
Processes and threads are fundamental abstrations for operating systems. Learn how they work and how they impact database performance in this interactive article. →
Why a lagging client can stall or break failover, and how MySQL’s GTID model avoids it. →
Andres Taylor, Dirkjan Bussink, Harshit Gangal, Nick Van Wiggeren, Noble Mittal, Rohit Nayak, Roman Sodermans, Shlomi Noach, Sam Lambert [@samlambert] |
Sharded Postgres by the team behind Vitess →
Every time you use a computer, the cache is working to ensure your experience is fast. →
The principles and processes we follow for fault tolerance. →
PlanetScale now supports Postgres →
Benchmarking Postgres in a transparent, standardized and fair way is challenging. Here, we look at the process of how we did it in-depth →
You can now use vector search and storage in your PlanetScale MySQL database. →
A novel technique for implementing dynamic language interpreters in Go, applied to the Vitess SQL evaluation engine →
Our experience running AWS EBS at scale for critical workloads →
Take an interactive journey through the history of IO devices, and learn how IO device latency affects performance. →
Our experience upgrading the Query Insights database to PlanetScale Metal →
Learn how PlanetScale Metal was built and how we ensured it is safe. →
Learn how PlanetScale keeps its private fork of Vitess up-to-date with OSS →
Learn about the database sharding scaling pattern in this interactive blog. →