Status: IN
OpenShift workload resource management spans two complementary systems: multi-level autoscaling (ClusterAutoscaler→HPA/KEDA→VPA) adjusts capacity at infrastructure and pod levels, while multi-dimensional scheduling (selectors, taints, affinity, topology, gates) places workloads within that capacity — together forming the complete resource allocation model.
Autoscaling determines how much capacity exists; scheduling determines where workloads land — combining reveals the full resource management picture.
Depends on (SL): multi-level-autoscaling-architecture, workload-placement-requires-storage-and-scheduling