Chapter 4. Using CPU Manager


CPU Manager manages groups of CPUs and constrains workloads to specific CPUs.

CPU Manager is useful for workloads that have some of these attributes:

  • Require as much CPU time as possible.
  • Are sensitive to processor cache misses.
  • Are low-latency network applications.
  • Coordinate with other processes and benefit from sharing a single processor cache.

4.1. Setting up CPU Manager

Procedure

  1. Optional: Label a node:

    Copy to Clipboard Toggle word wrap
    # oc label node perf-node.example.com cpumanager=true
  2. Edit the MachineConfigPool of the nodes where CPU Manager should be enabled. In this example, all workers have CPU Manager enabled:

    Copy to Clipboard Toggle word wrap
    # oc edit machineconfigpool worker
  3. Add a label to the worker MachineConfigPool:

    Copy to Clipboard Toggle word wrap
    metadata:
      creationTimestamp: 2019-xx-xxx
      generation: 3
      labels:
        custom-kubelet: cpumanager-enabled
  4. Create a KubeletConfig, cpumanager-kubeletconfig.yaml, custom resource (CR). Refer to the label created in the previous step to have the correct nodes updated with the new KubeletConfig. See the machineConfigPoolSelector section:

    Copy to Clipboard Toggle word wrap
    apiVersion: machineconfiguration.openshift.io/v1
    kind: KubeletConfig
    metadata:
      name: cpumanager-enabled
    spec:
      machineConfigPoolSelector:
        matchLabels:
          custom-kubelet: cpumanager-enabled
      kubeletConfig:
         cpuManagerPolicy: static
         cpuManagerReconcilePeriod: 5s
  5. Create the dynamic KubeletConfig:

    Copy to Clipboard Toggle word wrap
    # oc create -f cpumanager-kubeletconfig.yaml

    This adds the CPU Manager feature to the KubeletConfig and, if needed, the Machine Config Operator (MCO) reboots the node. To enable CPU Manager, a reboot is not needed.

  6. Check for the merged KubeletConfig:

    Copy to Clipboard Toggle word wrap
    # oc get machineconfig 99-worker-XXXXXX-XXXXX-XXXX-XXXXX-kubelet -o json | grep ownerReference -A7
    
           "ownerReferences": [
                {
                    "apiVersion": "machineconfiguration.openshift.io/v1",
                    "kind": "KubeletConfig",
                    "name": "cpumanager-enabled",
                    "uid": "7ed5616d-6b72-11e9-aae1-021e1ce18878"
                }
            ],
  7. Check the worker for the updated kubelet.conf:

    Copy to Clipboard Toggle word wrap
    # oc debug node/perf-node.example.com
    sh-4.4# cat /host/etc/kubernetes/kubelet.conf | grep cpuManager
    cpuManagerPolicy: static        
    1
    
    cpuManagerReconcilePeriod: 5s   
    2
    1 2
    These settings were defined when you created the KubeletConfig CR.
  8. Create a Pod that requests a core or multiple cores. Both limits and requests must have their CPU value set to a whole integer. That is the number of cores that will be dedicated to this Pod:

    Copy to Clipboard Toggle word wrap
    # cat cpumanager-pod.yaml
    apiVersion: v1
    kind: Pod
    metadata:
      generateName: cpumanager-
    spec:
      containers:
      - name: cpumanager
        image: gcr.io/google_containers/pause-amd64:3.0
        resources:
          requests:
            cpu: 1
            memory: "1G"
          limits:
            cpu: 1
            memory: "1G"
      nodeSelector:
        cpumanager: "true"
  9. Create the Pod:

    Copy to Clipboard Toggle word wrap
    # oc create -f cpumanager-pod.yaml
  10. Verify that the Pod is scheduled to the node that you labeled:

    Copy to Clipboard Toggle word wrap
    # oc describe pod cpumanager
    Name:               cpumanager-6cqz7
    Namespace:          default
    Priority:           0
    PriorityClassName:  <none>
    Node:  perf-node.example.com/xxx.xx.xx.xxx
    ...
     Limits:
          cpu:     1
          memory:  1G
        Requests:
          cpu:        1
          memory:     1G
    ...
    QoS Class:       Guaranteed
    Node-Selectors:  cpumanager=true
  11. Verify that the cgroups are set up correctly. Get the process ID (PID) of the pause process:

    Copy to Clipboard Toggle word wrap
    # ├─init.scope
    │ └─1 /usr/lib/systemd/systemd --switched-root --system --deserialize 17
    └─kubepods.slice
      ├─kubepods-pod69c01f8e_6b74_11e9_ac0f_0a2b62178a22.slice
      │ ├─crio-b5437308f1a574c542bdf08563b865c0345c8f8c0b0a655612c.scope
      │ └─32706 /pause

    Pods of quality of service (QoS) tier Guaranteed are placed within the kubepods.slice. Pods of other QoS tiers end up in child cgroups of kubepods:

    Copy to Clipboard Toggle word wrap
    # cd /sys/fs/cgroup/cpuset/kubepods.slice/kubepods-pod69c01f8e_6b74_11e9_ac0f_0a2b62178a22.slice/crio-b5437308f1ad1a7db0574c542bdf08563b865c0345c86e9585f8c0b0a655612c.scope
    # for i in `ls cpuset.cpus tasks` ; do echo -n "$i "; cat $i ; done
    cpuset.cpus 1
    tasks 32706
  12. Check the allowed CPU list for the task:

    Copy to Clipboard Toggle word wrap
    # grep ^Cpus_allowed_list /proc/32706/status
     Cpus_allowed_list:    1
  13. Verify that another pod (in this case, the pod in the burstable QoS tier) on the system cannot run on the core allocated for the Guaranteed pod:

    Copy to Clipboard Toggle word wrap
    # cat /sys/fs/cgroup/cpuset/kubepods.slice/kubepods-besteffort.slice/kubepods-besteffort-podc494a073_6b77_11e9_98c0_06bba5c387ea.slice/crio-c56982f57b75a2420947f0afc6cafe7534c5734efc34157525fa9abbf99e3849.scope/cpuset.cpus
    
    0
    Copy to Clipboard Toggle word wrap
    # oc describe node perf-node.example.com
    ...
    Capacity:
     attachable-volumes-aws-ebs:  39
     cpu:                         2
     ephemeral-storage:           124768236Ki
     hugepages-1Gi:               0
     hugepages-2Mi:               0
     memory:                      8162900Ki
     pods:                        250
    Allocatable:
     attachable-volumes-aws-ebs:  39
     cpu:                         1500m
     ephemeral-storage:           124768236Ki
     hugepages-1Gi:               0
     hugepages-2Mi:               0
     memory:                      7548500Ki
     pods:                        250
    -------                               ----                           ------------  ----------  ---------------  -------------  ---
      default                                 cpumanager-6cqz7               1 (66%)       1 (66%)     1G (12%)         1G (12%)       29m
    
    Allocated resources:
      (Total limits may be over 100 percent, i.e., overcommitted.)
      Resource                    Requests          Limits
      --------                    --------          ------
      cpu                         1440m (96%)       1 (66%)

    This VM has two CPU cores. You set kube-reserved to 500 millicores, meaning half of one core is subtracted from the total capacity of the node to arrive at the Node Allocatable amount. You can see that Allocatable CPU is 1500 millicores. This means you can run one of the CPU Manager pods since each will take one whole core. A whole core is equivalent to 1000 millicores. If you try to schedule a second pod, the system will accept the pod, but it will never be scheduled:

    Copy to Clipboard Toggle word wrap
    NAME                    READY   STATUS    RESTARTS   AGE
    cpumanager-6cqz7        1/1     Running   0          33m
    cpumanager-7qc2t        0/1     Pending   0          11s
Back to top
Red Hat logoGithubredditYoutubeTwitter

Learn

Try, buy, & sell

Communities

About Red Hat Documentation

We help Red Hat users innovate and achieve their goals with our products and services with content they can trust. Explore our recent updates.

Making open source more inclusive

Red Hat is committed to replacing problematic language in our code, documentation, and web properties. For more details, see the Red Hat Blog.

About Red Hat

We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge.

Theme

© 2025 Red Hat, Inc.