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docs/en/docs/async.md
Many, many users, but your server is waiting π for their not-so-good connection to send their requests. And then waiting π again for the responses to come back. This "waiting" π is measured in microseconds, but still, summing it all, it's a lot of waiting in the end. That's why it makes a lot of sense to use asynchronous βΈπβ― code for web APIs.
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docs/en/docs/deployment/concepts.md
You could put an **arbitrary number** to target, for example, something **between 50% to 90%** of resource utilization. The point is that those are probably the main things you will want to measure and use to tweak your deployments.
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