Back when we were figuring out where to go after Eve, @joshuafcole and I built some systems for various companies to see if there was a good fit. We never showed them publicly, but the one we did for @stripe Sigma was really cool:
https://www.youtube.com/watch?v=tSk3_ujnu14 …
cc: @patrickc
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Using
@rustlang we built a version of that system that could run in real time while maintaining high transaction throughput. The video is the visualization of the throughput of that system and a little SQL runner to show it hitting Redshift.Prikaži ovu nit -
We did some back of the napkin math for what lyft's transaction rate would be, which is one of Stripe's biggest public customers. Our estimate was that it's in the 10-20 txn/s range, but might burst to 10x that at times.
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We also looked into Visa's global transaction rate, which was around 1200-1600 txn/s. The demo you're seeing in the video is us handling 10x Visa's rate on a laptop. On a mid-tier AWS instance, we got up to 10x the transaction volume of the world :)
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The visualization was my favorite part, it was based on liquid motion timers, which I really loved as a kid.pic.twitter.com/qC1dQD7FgO
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