Sure, glad to help. We need every bit of help against the powers that be at this point.

calyxOS has it too.

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Brush yo teeth bruh.

Just kidding 🤪

All of what you’re saying seems correct. I think this is more of a meta discussion, on how (in this case) retries, even with exponential back off, aren’t a solution by themselves when you look at the system overall. There are interesting hidden caveats to any common solutions, this is one I personally wasn’t aware of.

Practically, adding a timeout budget so that the clients themselves just error out (forcing a manual refresh) sorta accomplishes the same as what you’re positing.

Hmm… I’d say that was an obvious example to cause the situation, the real point was exposing the more subtle problems with feedback loops.

What happens if the server in question was at 80% capacity, and due to hardware faults, that leads to 100% utilization? Can you reconfigure your services if there’s a cascading overload through enough of the system without actually adding to the system load? What do you do about the fact that these loops gets ever more powerful and sudden the larger the system?

The author seemed to be suggesting that we carefully consider how to avoid open feedback loops, and build stability in. This article clued me in that stability problems can be borne from “industry standard” advice if you don’t carefully think about it.

Very interesting, thanks for this article. It’s funny how I notice ever more repetition of phenomena through different branches of engineering; metastable failure caused by feedback loops is possible both in mechanical and electrical engineering. Named differently though, resonance and ringing, respectively.

Good article, thanks

A projector.

PiKVM for open source networked KVMs: https://pikvm.org/