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$5 PlanetScale Postgres is live.
PlanetScale
2,174 posts
PlanetScale
@PlanetScale
The fastest and most reliable database for Postgres & Vitess
Discord: pscale.link/community
Support: @planetscalehelp
planetscalestatus.com
Joined February 2018
- PlanetScale reposted
Tomorrow’s P99 Pod is a special one, we got @ankrgyl joining the usual crew in the new studio! 11AM PDT here on X or on the @PlanetScale youtube channel.
- Addicted to your terminal? Yes. Use Postgres for everything? Also yes. You should be using pgcli.
00:00 - PlanetScale reposted
Gimme your best "when is fable coming back?" face. And in the meantime... come hang with @LowLevelTweets + @typecraft_dev + and myself tonight @ PlanetScale HQ. 7pm for a chat on all things security and AI. Luma below.
- Vitalize migrated to PlanetScale and saw: - P95 latency dropped to 2ms - Heavy JSONB reads dropped from 50s -> 1.2s - Half the vCPUs with better performance - Actionable performance info with Query Insights Read all about their migration:
- PlanetScale reposted
Our Monday night AIE event is going to be awesome. @LowLevelTweets has crafted a panel discussion on security in the AI era with awesome guests . There are very few spots left. - PlanetScale reposted
Yesterday I built a support agent with Flue for our fake coffee shop (thecoffeecluster) that shows PlanetScale <-> Hyperdrive I just created a new PlanetScale branch and pointed my coding agents to the Flue docs. The result is insane. We live in the future 🔥
00:00 - PlanetScale reposted
Me, @LowLevelTweets, @clintgibler, and @DanielMiessler are going to be on a panel @ @PlanetScale HQ with their CTO @NickVanWig Monday of the AI Engineer World Fair in SF. Come hang! luma.com/ow1f82nb
- PlanetScale reposted
On Laravel Cloud, Sportsmonks has been handling 600M API requests per week and 1,000+ jobs per second. World Cup was a nice stress test. Great to work with wonderful partners like @PlanetScale on this too. 💪 - PlanetScale Postgres starts at $5/month, but you don't have to buy a new one for every project. Filling a single cluster with many logical databases is the move.
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