6.4. 部署 NUMA 感知辅助 pod 调度程序

流程

1. 创建 KubeletConfig 自定义资源，为机器配置集配置 pod admittance 策略：

   1. 将以下 YAML 保存到 nro-kubeletconfig.yaml 文件中：

      apiVersion: machineconfiguration.openshift.io/v1
      kind: KubeletConfig
      metadata:
        name: cnf-worker-tuning
      spec:
        machineConfigPoolSelector:
          matchLabels:
            cnf-worker-tuning: enabled
        kubeletConfig:
          cpuManagerPolicy: "static" 

      1

      
          cpuManagerReconcilePeriod: "5s"
          reservedSystemCPUs: "0,1"
          memoryManagerPolicy: "Static" 

      2

      
          evictionHard:
            memory.available: "100Mi"
          kubeReserved:
            memory: "512Mi"
          reservedMemory:
            - numaNode: 0
              limits:
                memory: "1124Mi"
          systemReserved:
            memory: "512Mi"
          topologyManagerPolicy: "single-numa-node" 

      3

      
          topologyManagerScope: "pod"

      Copy to Clipboard Toggle word wrap

      1

      对于 cpuManagerPolicy，static 必须使用小写 s。

      2

      对于 memoryManagerPolicy，Static 必须使用大写 S。

      3

      topologyManagerPolicy 必须设置为 single-numa-node。

   2. 运行以下命令来创建 KubeletConfig 自定义资源 (CR)：

      $ oc create -f nro-kubeletconfig.yaml

      Copy to Clipboard Toggle word wrap

2. 创建 NUMAResourcesScheduler 自定义资源来部署 NUMA 感知自定义 pod 调度程序：

   1. 将以下 YAML 保存到 nro-scheduler.yaml 文件中：

      apiVersion: nodetopology.openshift.io/v1alpha1
      kind: NUMAResourcesScheduler
      metadata:
        name: numaresourcesscheduler
      spec:
        imageSpec: "registry.redhat.io/openshift4/noderesourcetopology-scheduler-container-rhel8:v4.11"

      Copy to Clipboard Toggle word wrap

   2. 运行以下命令来创建 NUMAResourcesScheduler CR：

      $ oc create -f nro-scheduler.yaml

      Copy to Clipboard Toggle word wrap