81–85 of 85 posts
I don't get the point of benchmarking k8s without the guarantees of etcd. At some point, you are just competing with clusterssh.
How often do you have sudden host failures? Especially if you use a half-decent server with redundant components for the DB node? Once in maybe 10 years?
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It's a shame the author led with something that carries about the same authority as a horoscope, since the rest of the article is actually quite interesting.
If you have sufficient knowledge in the subject matter you're questioning ChatGPT about, you can fairly reliably discern complete bullshit from something plausibly true that warrants additional investigation (which I'd say is more useful than your typical horoscope). In isolation it seems worth the gamble to me, so long as you don't view it as much more than consulting the tea leaves.
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There are similar libraies in Elixir. Is the ecosystem for ML as developed as for python? Nope, but not every ML project needs the most obscure libraries etc. (For the record I don't really see Erlang clusters as a replacement for k8s)
You aren’t going to teach a research scientist Erlang in spite of Python and R. You aren’t going to win that fight, ever.
This is an awesome experiment and write up. I really appreciate the reproducibility. I would like to see how moving to database that scales write throughput with replicas would behave, namely FoundationDB. I think this will require more than an intermediary like kine to be efficient, as the author illustrates the apisever does a fair bit of its own watching and keeping state. I also think there's benefit, at least fo…
Here you go, Kine FoundationDB backend https://github.com/melgenek/f8n To be honest, I was building it with the purpose of matching the Etcd scale, but making foundationdb a multitenant data store. But with the recent craze of scalability , I'll be investing time into understanding how far foundationdb can be pushed as a K8s data store. Stay tuned.
It would be great to see where the limits are with this approach.
I think at some point, you need to go deeper into the apiserver for scale than an API compatible shim, but this is just conjecture and not real data.
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If you have sufficient knowledge in the subject matter you're questioning ChatGPT about, you can fairly reliably discern complete bullshit from something plausibly true that warrants additional investigation (which I'd say is more useful than your typical horoscope). In isolation it seems worth the gamble to me, so long as you don't view it as much more than consulting the tea leaves.
You could also spend 5 minutes thinking instead of using a 10th of the Texas power grid to do it for you. Remember when we used to not know shit, and it would stay with you for days - before Google happened? The same is about to happen with mental acuity and AI. Use it or lose it - and I hope every fanboys' brain turns to mush before they witness irreversible AI-caused climate catastrophes solely to be able to speak…