I am not talking about infinity. I am not talking about a scenario where you have a constant event stream, which will never vary. You are correct that if you ha

I am not talking about infinity. I am not talking about a scenario where you have a constant event stream, which will never vary. You are correct that if you have such a system, then at 101 events/second "you're dead". I am talking about a bazillion other use cases in which there is variance in the number of events produced at any given time and where the immediate processing of those events is not of utmost importance. "Slap a queue in between" and suddenly you are no longer bound by what your systems can handle, you are only bound by what the queuing system can handle and that is usually much easier to scale (or can already handle this kind of load). E.g. think about a system needing to synchronize with another external system. Back in the old days (and well I'm sure those systems are still out there today) synchronizing two systems may well have been an overnight job. A nightly sync job. Nowadays many such systems probably try near realtime synchronization but you don't want to make it part of the regular flow either and block the actual operation. But sometimes there's too many synchronizations that need to happen at once, so a queue builds up over some period and goes down again a bit later. It's still better user experience than a nightly job. E.g. your regular load might be at 10 e/s. During some particularly busy time or specific bulk operations being executed in parallel by multiple people, you might have an influx of 200 e/s for a minute or so.