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Handling a machine configuration for hosted control planes

In a standalone OpenShift Container Platform cluster, a machine config pool manages a set of nodes. You can handle a machine configuration by using the MachineConfigPool custom resource (CR).

In hosted control planes, the MachineConfigPool CR does not exist. A node pool contains a set of compute nodes. You can handle a machine configuration by using node pools.

Configuring node pools for hosted control planes

On hosted control planes, you can configure node pools by creating a MachineConfig object inside of a config map in the management cluster.

Procedure

  1. To create a MachineConfig object inside of a config map in the management cluster, enter the following information:

    apiVersion: v1
kind: ConfigMap
metadata:
  name: <configmap-name>
  namespace: clusters
data:
  config: |
    apiVersion: machineconfiguration.openshift.io/v1
    kind: MachineConfig
    metadata:
      labels:
        machineconfiguration.openshift.io/role: worker
      name: <machineconfig-name>
    spec:
      config:
        ignition:
          version: 3.2.0
        storage:
          files:
          - contents:
              source: data:...
            mode: 420
            overwrite: true
            path: ${PATH} (1)
    1 Sets the path on the node where the MachineConfig object is stored.

  2. After you add the object to the config map, you can apply the config map to the node pool as follows:

    spec:
  config:
    - name: ${CONFIGMAP_NAME}

Configuring node tuning in a hosted cluster

To set node-level tuning on the nodes in your hosted cluster, you can use the Node Tuning Operator. In hosted control planes, you can configure node tuning by creating config maps that contain Tuned objects and referencing those config maps in your node pools.

Procedure

  1. Create a config map that contains a valid tuned manifest, and reference the manifest in a node pool. In the following example, a Tuned manifest defines a profile that sets vm.dirty_ratio to 55 on nodes that contain the tuned-1-node-label node label with any value. Save the following ConfigMap manifest in a file named tuned-1.yaml:

        apiVersion: v1
    kind: ConfigMap
    metadata:
      name: tuned-1
      namespace: clusters
    data:
      tuning: |
        apiVersion: tuned.openshift.io/v1
        kind: Tuned
        metadata:
          name: tuned-1
          namespace: openshift-cluster-node-tuning-operator
        spec:
          profile:
          - data: |
              [main]
              summary=Custom OpenShift profile
              include=openshift-node
              [sysctl]
              vm.dirty_ratio="55"
            name: tuned-1-profile
          recommend:
          - priority: 20
            profile: tuned-1-profile

    If you do not add any labels to an entry in the spec.recommend section of the Tuned spec, node-pool-based matching is assumed, so the highest priority profile in the spec.recommend section is applied to nodes in the pool. Although you can achieve more fine-grained node-label-based matching by setting a label value in the Tuned .spec.recommend.match section, node labels will not persist during an upgrade unless you set the .spec.management.upgradeType value of the node pool to InPlace.

  2. Create the ConfigMap object in the management cluster:

    $ oc --kubeconfig="$MGMT_KUBECONFIG" create -f tuned-1.yaml

  3. Reference the ConfigMap object in the spec.tuningConfig field of the node pool, either by editing a node pool or creating one. In this example, assume that you have only one NodePool, named nodepool-1, which contains 2 nodes.

        apiVersion: hypershift.openshift.io/v1alpha1
    kind: NodePool
    metadata:
      ...
      name: nodepool-1
      namespace: clusters
    ...
    spec:
      ...
      tuningConfig:
      - name: tuned-1
    status:
    ...

    You can reference the same config map in multiple node pools. In hosted control planes, the Node Tuning Operator appends a hash of the node pool name and namespace to the name of the Tuned CRs to distinguish them. Outside of this case, do not create multiple TuneD profiles of the same name in different Tuned CRs for the same hosted cluster.
Verification

Now that you have created the ConfigMap object that contains a Tuned manifest and referenced it in a NodePool, the Node Tuning Operator syncs the Tuned objects into the hosted cluster. You can verify which Tuned objects are defined and which TuneD profiles are applied to each node.

  1. List the Tuned objects in the hosted cluster:

    $ oc --kubeconfig="$HC_KUBECONFIG" get tuned.tuned.openshift.io -n openshift-cluster-node-tuning-operator
    Example output
    NAME       AGE
default    7m36s
rendered   7m36s
tuned-1    65s

  2. List the Profile objects in the hosted cluster:

    $ oc --kubeconfig="$HC_KUBECONFIG" get profile.tuned.openshift.io -n openshift-cluster-node-tuning-operator
    Example output
    NAME                           TUNED            APPLIED   DEGRADED   AGE
nodepool-1-worker-1            tuned-1-profile  True      False      7m43s
nodepool-1-worker-2            tuned-1-profile  True      False      7m14s

    If no custom profiles are created, the openshift-node profile is applied by default.

  3. To confirm that the tuning was applied correctly, start a debug shell on a node and check the sysctl values:

    $ oc --kubeconfig="$HC_KUBECONFIG" debug node/nodepool-1-worker-1 -- chroot /host sysctl vm.dirty_ratio
    Example output
    vm.dirty_ratio = 55

Deploying the SR-IOV Operator for hosted control planes

Hosted control planes on the AWS platform is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.

For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope.

After you configure and deploy your hosting service cluster, you can create a subscription to the SR-IOV Operator on a hosted cluster. The SR-IOV pod runs on worker machines rather than the control plane.

Prerequisites

You must configure and deploy the hosted cluster on AWS. For more information, see Configuring the hosting cluster on AWS (Technology Preview).

Procedure

  1. Create a namespace and an Operator group:

    apiVersion: v1
kind: Namespace
metadata:
  name: openshift-sriov-network-operator
---
apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
  name: sriov-network-operators
  namespace: openshift-sriov-network-operator
spec:
  targetNamespaces:
  - openshift-sriov-network-operator

  2. Create a subscription to the SR-IOV Operator:

    apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
  name: sriov-network-operator-subsription
  namespace: openshift-sriov-network-operator
spec:
  channel: stable
  name: sriov-network-operator
  config:
    nodeSelector:
      node-role.kubernetes.io/worker: ""
  source: s/qe-app-registry/redhat-operators
  sourceNamespace: openshift-marketplace
Verification

  1. To verify that the SR-IOV Operator is ready, run the following command and view the resulting output:

    $ oc get csv -n openshift-sriov-network-operator
    Example output
    NAME                                         DISPLAY                   VERSION               REPLACES                                     PHASE
sriov-network-operator.4.14.0-202211021237   SR-IOV Network Operator   4.14.0-202211021237   sriov-network-operator.4.14.0-202210290517   Succeeded

  2. To verify that the SR-IOV pods are deployed, run the following command:

    $ oc get pods -n openshift-sriov-network-operator