Documenting Control Plane Configuration - AI Conformance #1936
Description
Provide clear documentation on how users can inspect and, if necessary, customize the resource requests/limits and key configuration flags for their cluster's API server. This transparency is key for advanced users running demanding workloads.
Information about robust CRD and Controller Operation:
Ensure that the installation and operation of complex CRDs and their associated controllers, common in AI/ML operators (e.g. Ray, Kubeflow), function reliably. The platform must not impose non-standard limitations that cause failures beyond standard Kubernetes resource quotas. Examples of such prohibited limitations are aggressive API server rate-limiting that throttles normal operator reconciliation, or control plane resource constraints that lead to unreliable webhook execution or slow controller reconciliation under load.