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by rhymenoceros
2891 days ago
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> To paraphrase some Cal/UC Berkeley professor that I cannot remember, he said that the problem with scaling is that when you go up a magnitude or more, you may need a qualitatively different solution for the same problem. You might actually be thinking of Jeff's Stanford talk from a few years ago (2011). Slide 21 of: https://static.googleusercontent.com/media/research.google.c... Ensure your design works if scale changes by 10X or 20X
but the right solution for X often not optimal for 100X
There's no attribution, but that is good advice I've kept with me throughout my career. Props to the original author (perhaps apocryphal at this point?). |
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