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Queueing Requests Queues Your Capacity Problems, Too

https://pushtoprod.substack.com/p/queueing-requests-queues-your-capacity-problems-too
13•mhawthorne•3d ago

Comments

mrngm•3d ago
That reminds me of this talk[0] by Gil Tene called "How NOT to Measure Latency" at the Strangeloop conference in 2015 (or read this blog post[1] that contains the most important points).

[0] https://www.youtube.com/watch?v=lJ8ydIuPFeU

[1] https://bravenewgeek.com/everything-you-know-about-latency-i...

andrewstuart•1h ago
The author speculates about ways to deal with an overloaded queue.

Kingmans Formula says that as you approach 100% utilization, waiting times explode.

The correct way to deal with this is bounded queue lengths and back pressure. I.e don’t deal with an overloaded queue, don’t allow an overloaded queue.

bluGill•7m ago
Which is easy to say. I've been trying to debug an overloaded queue for over a week now. (it used to work until I discovered there were some serious race conditions resulting in 1 in a million problems crashes, and every fix for them so far has not fixed things. (at least I can detect it and I'm allowed to toss things from the queue - but the fact is we were handling this before I put the fixes in and people don't like it when I now reject thing from the queue so they want the performance back without the races)
avidiax•3m ago
I feel you may be adding your critical sections at too high of a layer (either in the code, or the data structure) if it is severely affecting performance. Look up sharded locks, and totally order them if you must acquire 2 or more at once.

You may also want to implement reader/writer locks if your load has many more reads than writes.

Unfortunately, nobody really teaches you these things in a really clear way, and plenty of engineers don't fully understand it either.

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Queueing Requests Queues Your Capacity Problems, Too

https://pushtoprod.substack.com/p/queueing-requests-queues-your-capacity-problems-too
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