alt Hacker NewsThere's a common conversation that goes on around AI: some people swear its a complete waste of time and total boondoggle, some that its a good tool when used correctly, and others that its the future and nothing else matters.
I see the same thing happen with Kubernetes. I've run clusters from various sizes for about half a decade now. I've never once had an incident that wasn't caused by the product itself. I recall one particular incident where we had a complete blackout for about an hour. The people predisposed to hating Kubernetes did everything they could to blame it all on that "shitty k8s system." Turns out the service in question simply DOS'd by opening up tens of thousands of ports in a matter of seconds when a particular scenario occurred.
I'm neither in the k8s is the future nor k8s is total trash. It's a good system for when you genuinely need it. I've never understand the other two sides of the equation.
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Seems like this can be applied to an increasingly large pool of subjects, where things are polarized by default and having a moderate/indifferent opinion is unusual. For example, I thought of US politics while reading your comment
Good insight. It's always easy to blame that which you don't understand. I know nothing about k8s, and my eyes kinda glaze over when our staff engineer talks about pods and clusters. But it works for our team, even if not everyone understands it.
When all you have is a hammer, every problem starts to look like a nail. And the people with axes are wondering how (or indeed even why) so many people are trying to chop wood with a hammer. Further, some axewielders are wondering why they are losing their jobs to people with hammers when an axe is the right tool for the job. Easy to hate the hammer in this case.
At the end of the day it's all different levels of abstractions and whether or not you're using the abstraction correctly. With k8s, the best practices are mostly set in a lot of use cases. For LLMs, we still have no idea what the best practices are.
Funnily enough the post isn't shitting on k8s, it's shitting on cloud and that k8s (lipstick) can't fix the pig (cloud)
The complaints I see about Kubernetes are typically more about one of two things: (a) this looks complex to learn, and I don't have a need for it - existing deployment patterns solve my use case, or (b) Kubernetes is much less inefficient than running software on bare-metal (energy or cost.)
Usually they go hand in hand.