It’s time to bring PlanetScale’s performance, scale, and reliability to Postgres. Learn more about why we built it and how we’re approaching Vitess for Postgres:
pscale.link/ps-postgres
🎉 Introducing schema recommendations
You will now automatically receive recommendations to improve database performance, reduce memory and storage, and improve your schema based on production traffic.
For PlanetScale Insights, we don't sample queries; we collect stats for every single one of over 10 billion user queries daily. How do we do it? With sharding! Read more from Rafer Hazen about how we built a scalable telemetry pipeline: planetscale.com/blog/running-q…
PlanetScale Insights now shows time-series metrics on a per-query pattern basis. See how the PlanetScale Engineering team used it to identify and troubleshoot a problematic query and reduce its latency from 15 minutes to just a few hundred milliseconds!
planetscale.com/blog/query-per…
We just added database error monitoring to Insights!
You can now see error messages that are produced on your database and drill down to see exactly which queries caused them.
See how we fixed an error on our internal database in this post by @raferh.
planetscale.com/blog/debugging…
To whoever stole my lawn mower: you forgot the plug thing for if you don’t want to bag the grass. I’m going to leave it in the same place tonight so you can get it because it’s a huge mess without it.
Spend too much time identifying troubling queries?
Today, we’re launching PlanetScale Insights.
Insights provides detailed real-time, fully-integrated database performance metrics at your fingertips. No third-party APM required.
planetscale.com/blog/introduci…
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