Taking default telemetry is insane.
That aside, the level of control is cool, almost too pedantic. It likely is only particularly useful for very nuanced enterprise requirements (probably what it's targeting). Most companies can be much more coarse with their permissions, and I think the agentic industry is moving away from k8s as a deployment platform.
> I think the agentic industry is moving away from k8s as a deployment platform
Interesting, I don't to keep up that much with the AI changes so I'll just ask, why and where to?
schedulers that can handle spikier workloads generally
believe me i love k8s, and i think agents wield it amazingly well, no more yaml-slop or kubectl (`k`) slop, just yell at claude to fix it
Any examples of such schedulers?
I am very interested in hearing more about this take. I have a vague idea of what you mean but if you read something specific you'd like to share..
> I think the agentic industry is moving away from k8s as a deployment platform.
its not reading, its observation. see other comment abt spiky-friendly workloads
This is a pretty unusual use case though, like I can see it growing, but it's not the same platform you use for long lived running business applications. Vastly different use case. (And a lot will settle for kata containers.)
Spinning up and snapshotting and rolling back agent states, sure.
> and I think the agentic industry is moving away from k8s as a deployment platform
Uhhhhhhhhhhh I think you and I live in very different versions of the world :-)
Vmware sent companies moving to nutanix, but it also sent a lot of companies moving to openshift or bare k8s and using kubevirt to handle VMs.
In fact, I haven't heard of an org moving to any other platform, really. Either openshift or k8s.
Openshift is just k8s with bells and whistles.
Enterprise support contracts, mostly
imo if you're going to run k8s, have it hosted
same as a db, better to pay #x as much and have it hosted then to be wishing it was not your problem when it was down
and we may very well live in different versions of the world. i'm on the frontlines of startups so we move with the customer, rather than making customers move with us
> imo if you're going to run k8s, have it hosted
Ours is all on-prem all over the country in our own internal small datacenters for regulatory, safety, security, and operational reasons. Provisioned and automated from bare metal. We also use those same images in cloud for something like a quorum situation, or maybe some data locality for a particular pinned workload.
But it's mostly us, in our stuff and at the enterprise edge.
Different problems.