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Kubernetes v1.36 introduces Pod-Level Resource Managers as an alpha feature to enable flexible resource allocation for performance-sensitive workloads.
•Allows kubelet's Topology, CPU, and Memory Managers to operate at pod level instead of strictly per-container basis
•Enables hybrid resource allocation where main containers get exclusive NUMA-aligned CPUs while sidecars share a pod-level resource pool
•Supports mixed workload scenarios: database pods with monitoring sidecars, or ML training with service mesh sidecars
•Provides observability through new kubelet metrics including resource allocation tracking and container assignment visibility
•Requires Kubernetes v1.36+ with feature gates (PodLevelResources, PodLevelResourceManagers) and specific manager configurations
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Kubernetes
Grafana
Google Cloud