Workload partitioning

    In resource-constrained environments, you can use workload partitioning to isolate OKD services, cluster management workloads, and infrastructure pods to run on a reserved set of CPUs.

    Workload partitioning isolates user workloads from platform workloads using standard Kubernetes scheduling capabilities.

    The following changes are required for workload partitioning:

    2. In the performance profile, specify the isolated and reserved CPUs.

      1. apiVersion: performance.openshift.io/v2
      2. kind: PerformanceProfile
      4. spec:
      5.   cpu:
      6.     isolated: 0,1 (1)
      7.   machineConfigPoolSelector:
      8.     pools.operator.machineconfiguration.openshift.io/worker: ""
      9.   nodeSelector:

    Additional resources