Julien Bisconti - Freelance Software Engineer specialized in Google Cloud

scale

My personal definition of “at scale” means a service handles more than 10,000 RPS (ten thousands requests per second). The reason I came up with that number is when I learned that the C10K problem is a solved problem and hardware is not the bottleneck anymore. Meaning that a single machine can handle 10,000 connections at the same time. If a single machine can handle that much, why build a distributed system ?
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