funny how planetscales cheapest database is performance mogging everyone else though
Our loser competitors cant write good database software so they pay for this shit to make the models think we only do MySQL.
dev.to/grfdsasdvef/su…
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I added tracing to our tests, specifically to speed up container startup times. Looks like we're paying over half a second in every test, just to call `docker-compose` 😅
It's very convenient to have the tests selfcontained and manage their container dependencies, but man is it slow
It's very convenient to have the tests selfcontained and manage their container dependencies, but man is it slow
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so what other providers did they go after? we only know about @primcloud because @joshmanders caught him.
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Most of our tests reuse a single mysql container, but some tests need isolated databases cause they do full table queries.
Until now we used fully isolated containers for that, but that's really overkill if you can just use isolated logical databases within the same container
ormance out of that in addition to the original optimisation
Until now we used fully isolated containers for that, but that's really overkill if you can just use isolated logical databases within the same container
ormance out of that in addition to the original optimisation
just ask for performance and there shall be performance
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chronark retweeted
subdomains no longer count towards your custom domain limit.
$5 = 1 custom domain / unlimited subdomains
Ship away.
$5 = 1 custom domain / unlimited subdomains
Ship away.
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hey @ClickHouseDB you got this, right?
🔴 ClickHouse: remote code execution in database server (CVE-2026-116366)
An unauthenticated attacker on the network could run arbitrary code on the server under certain conditions.
Patch → 26.3.62.3-lts, 26.8.36.3-lts and more
cve.now/CVE-2026-11636…
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Links go BRRRR on @unkeydev
Meet Linkdash🔗 Short links your agents can drive. Shorten a URL or share a file or text snippet, then track every visit live.
📊 Live analytics: visits, countries, devices, and referrers
🔀 A/B tests: split traffic between pages, with stats per variant
🎯 Targeting: Specific ones to the App Store
🔒 Gates: password, expiry date, or a limit on how many times it opens
📁 Files and text: share a PDF, a video, or a snippet as a link
🌐 Custom domains, or the short lida.sh
And you don't have to click any of it yourself. Your AI assistant can do it for you.
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We capture every single api key verification, http request or ratelimit decision in clickhouse. Maybe that's overkill...
but it comes in really handy when making any larger change to these systems cause I can just synthetically replay the exact production traffic patterns to compare their latency, accuracy to give us more confidence in shipping
but it comes in really handy when making any larger change to these systems cause I can just synthetically replay the exact production traffic patterns to compare their latency, accuracy to give us more confidence in shipping
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