[superb-owl]

Here's a few examples of policies/needs that I've seen companies run up against at scale. K8s does a great job solving them.

* Understanding which workloads share a node's memory/CPU, and isolating certain workloads for security reasons

* Running specific workloads on specific instance types (e.g. with GPU or extra CPU)

* Configuring network policy between workloads

* Airgapping certain workloads

* Setting priority levels for different workloads, so some scale more rapidly while others have to wait for a new node to be provisioned

* Customized scaling behavior (e.g. based on the depth of a queue or latency metrics)

* Multi-region support for DR

I could probably go on :)

[latebird22]

You are totally right. For these specific use cases you probably want full control. :) I guess if you have these requirements a tool like SetOps, which simplifies the management, might not be the right fit then.

Although some of these requirement, like running specific workloads on specific instance types, could easily be implemented.