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ClickHouse - unmonitored
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ClickHouse - unmonitored
@clickhouse
Join us on @ClickHouseDB - Not an active account.
Sumali Ağustos 2008
4 Sinusundan77 Mga Tagasunod
10 years ago...yesterday...they opened her chest and repaired her heart.
For her, it is just a scar and a story.
For us, I still remember the emotions as if they were yesterday.
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Congratulations to our friends at @helicone_ai for reaching the #1 spot on ProductHunt yesterday! 🚀 Check out their offering: producthunt.com/posts/helicone…
Thank you for the shoutout to @ClickHouseDB, @justinstorre and team! 1.6B LLM requests, 30k requests per minute, dashboards load in milliseconds 👏
A few direct quotes:
"We've designed Helicone with a focus on scaling. We've already handled 1.6B LLM requests and built our infrastructure with Kafka and ClickHouse to handle this scale! All of this data has been anonymized and made public at helicone.ai/open-stats! Check it out :)"
"Helicone manages scales extremely well. Right now Helicone is ingesting over 30k requests per minute and is built to support over billions of requests. Some of our users have spent millions of dollars on LLMs and their dashboards load in milliseconds. We have our infrastructure built distributed on the worlds best CDN (Cloudflare workers) and the world fastest columnar database ClickHouse."
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"In the last 6 months, they (@beehiiv) migrated over 33 billion raw events totaling 13 TiB of data to @ClickHouseDB Cloud. The median query time went from minutes and even several hours to just 22 milliseconds." 👏
Tanya Bragin@tbragin
Fast-growing success story, @beehiiv, has moved to @ClickHouseDB for its analytical platform, migrating away from Postgres, which simply no longer scaled to the data volumes generated by millions of users and subscribers. 👇 Why so much data? “In the newsletter world, we generate a lot of email data,” says Eric Abis, beehiiv’s Head of Data Infrastructure and Engineering. “Every time an email is processed, every time it lands in an inbox, every time it’s deferred, every time it’s bounced, every time you open it, every time you click a link — all of these things add up to millions and billions of events.” In the last 6 months, they migrated over 33 billion raw events totaling 13 TiB of data to ClickHouse Cloud. The median query time went from minutes and even several hours to just 22 milliseconds. Meetup recording: youtube.com/watch?v=q44bQQ… Meetup summary report: clickhouse.com/blog/data-hive…
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