instruction: Create a Dockerfile for workloads
output: ```dockerfile
  From this, you can determine the cgroup path for the Pod:
  # Run this on the node where the Pod is scheduled
  sudo crictl inspectp -o=json $POD_ID | grep cgroupsPath
  The resulting cgroup path includes the Pod's pause container. The Pod level cgroup is one directory above.
   "cgroupsPath": "/kubepods/podd7f4b509-cf94-4951-9417-d1087c92a5b2/7ccf55aee35dd16aca4189c952d83487297f3cd760f1bbf09620e206e7d0c27a"
  In this specific case, the pod cgroup path is kubepods/podd7f4b509-cf94-4951-9417-d1087c92a5b2.
  Verify the Pod level cgroup setting for memory:
  # Run this on the node where the Pod is scheduled.
  # Also, change the name of the cgroup to match the cgroup allocated for your pod.
   cat /sys/fs/cgroup/memory/kubepods/podd7f4b509-cf94-4951-9417-d1087c92a5b2/memory.limit_in_bytes
  This is 320 MiB, as expected:
  335544320
  Observability
  Some kube_pod_overhead_* metrics are available in kube-state-metrics
  to help identify when Pod overhead is being utilized and to help observe stability of workloads
  running with a defined overhead.
  What's next
  
  Learn more about RuntimeClass
  Read the PodOverhead Design
  enhancement proposal for extra context
  
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   Last modified April 10, 2024 at 5:56 PM PST: Explain RuntimeClass name in Pod Overhead concept (#45454) (c25ceaa535)
  
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  Configuring Pod overhead
  Usage example
  Verify Pod cgroup limits
  
  Observability
  
  What's next
  
  © 2025 The Kubernetes Authors | Documentation Distributed under CC BY 4.0
  © 2025 The Linux Foundation ®. ICP license: 京ICP备17074266号-3
  ```