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Creating a Windows machine set on Azure

You can use a MachineSet custom resource (CR) to add a Windows compute node to your Microsoft Azure cluster, where you can run Windows container workloads.

For example, you might create infrastructure Windows machine sets and related machines so that you can move supporting Windows workloads to the new Windows machines. For more information about machine sets, see "Overview of machine management" in the Additional resources section.

Prerequisites

  • You installed the Windows Machine Config Operator (WMCO) using Operator Lifecycle Manager (OLM).

  • You are using a supported Windows Server as the operating system image.

Sample YAML for a Windows MachineSet object on Azure

This sample YAML defines a Windows MachineSet object running on Microsoft Azure that the Windows Machine Config Operator (WMCO) can react upon.

apiVersion: machine.openshift.io/v1beta1
kind: MachineSet
metadata:
  labels:
    machine.openshift.io/cluster-api-cluster: <infrastructure_id> (1)
  name: <windows_machine_set_name> (2)
  namespace: openshift-machine-api
spec:
  replicas: 1
  selector:
    matchLabels:
      machine.openshift.io/cluster-api-cluster: <infrastructure_id> (1)
      machine.openshift.io/cluster-api-machineset: <windows_machine_set_name> (2)
  template:
    metadata:
      labels:
        machine.openshift.io/cluster-api-cluster: <infrastructure_id> (1)
        machine.openshift.io/cluster-api-machine-role: worker
        machine.openshift.io/cluster-api-machine-type: worker
        machine.openshift.io/cluster-api-machineset: <windows_machine_set_name> (2)
        machine.openshift.io/os-id: Windows (3)
    spec:
      metadata:
        labels:
          node-role.kubernetes.io/worker: "" (4)
      providerSpec:
        value:
          apiVersion: azureproviderconfig.openshift.io/v1beta1
          credentialsSecret:
            name: azure-cloud-credentials
            namespace: openshift-machine-api
          image: (5)
            offer: WindowsServer
            publisher: MicrosoftWindowsServer
            resourceID: ""
            sku: 2019-Datacenter-with-Containers
            version: latest
          kind: AzureMachineProviderSpec
          location: <location> (6)
          managedIdentity: <infrastructure_id>-identity (1)
          networkResourceGroup: <infrastructure_id>-rg (1)
          osDisk:
            diskSizeGB: 128
            managedDisk:
              storageAccountType: Premium_LRS
            osType: Windows
          publicIP: false
          resourceGroup: <infrastructure_id>-rg (1)
          subnet: <infrastructure_id>-worker-subnet
          userDataSecret:
            name: windows-user-data (7)
            namespace: openshift-machine-api
          vmSize: Standard_D2s_v3
          vnet: <infrastructure_id>-vnet (1)
          zone: "<zone>" (8)
1 Specify the infrastructure ID that is based on the cluster ID that you set when you provisioned the cluster. You can obtain the infrastructure ID by running the following command: 
$ oc get -o jsonpath='{.status.infrastructureName}{"\n"}' infrastructure cluster
2 Specify the Windows compute machine set name. Windows machine names on Azure cannot be more than 15 characters long. Therefore, the compute machine set name cannot be more than 9 characters long, due to the way machine names are generated from it.
3 Configure the compute machine set as a Windows machine.
4 Configure the Windows node as a compute machine.
5 Specify a WindowsServer image offering that defines the 2019-Datacenter-with-Containers SKU.
6 Specify the Azure region, like centralus.
7 Created by the WMCO when it is configuring the first Windows machine. After that, the windows-user-data is available for all subsequent compute machine sets to consume.
8 Specify the zone within your region to place machines on. Be sure that your region supports the zone that you specify.

Creating a compute machine set

In addition to the compute machine sets created by the installation program, you can create your own compute machine sets to dynamically manage the machine compute resources for specific workloads of your choice. Use the OKD CLI to automate node provisioning.

Prerequisites

  • Deploy an OKD cluster.

  • Install the OpenShift CLI (oc).

  • Log in to oc as a user with cluster-admin permission.

  • In disconnected environments, the image specified in the MachineSet custom resource (CR) must have the OpenSSH server v0.0.1.0 installed.

Procedure

  1. Create a new YAML file that contains the compute machine set custom resource (CR) sample and is named <file_name>.yaml.

    Ensure that you set the <clusterID> and <role> parameter values.

  2. Optional: If you are not sure which value to set for a specific field, you can check an existing compute machine set from your cluster.

    1. To list the compute machine sets in your cluster, run the following command:

      $ oc get machinesets -n openshift-machine-api
      Example output
      NAME                                DESIRED   CURRENT   READY   AVAILABLE   AGE
agl030519-vplxk-worker-us-east-1a   1         1         1       1           55m
agl030519-vplxk-worker-us-east-1b   1         1         1       1           55m
agl030519-vplxk-worker-us-east-1c   1         1         1       1           55m
agl030519-vplxk-worker-us-east-1d   0         0                             55m
agl030519-vplxk-worker-us-east-1e   0         0                             55m
agl030519-vplxk-worker-us-east-1f   0         0                             55m

    2. To view values of a specific compute machine set custom resource (CR), run the following command:

      $ oc get machineset <machineset_name> \
  -n openshift-machine-api -o yaml
      Example output
      apiVersion: machine.openshift.io/v1beta1
kind: MachineSet
metadata:
  labels:
    machine.openshift.io/cluster-api-cluster: <infrastructure_id>
  name: <infrastructure_id>-<role>
  namespace: openshift-machine-api
spec:
  replicas: 1
  selector:
    matchLabels:
      machine.openshift.io/cluster-api-cluster: <infrastructure_id>
      machine.openshift.io/cluster-api-machineset: <infrastructure_id>-<role>
  template:
    metadata:
      labels:
        machine.openshift.io/cluster-api-cluster: <infrastructure_id>
        machine.openshift.io/cluster-api-machine-role: <role>
        machine.openshift.io/cluster-api-machine-type: <role>
        machine.openshift.io/cluster-api-machineset: <infrastructure_id>-<role>
    spec:
      providerSpec:
        ...

      where:

      metadata.labels.machine.openshift.io/cluster-api-cluster

      Specifies the cluster infrastructure ID.

      metadata.labels.name

      Specifies a default node label.

      For clusters that have user-provisioned infrastructure, a compute machine set can only create worker and infra type machines.
      spec.template.metadata.spec.providerSpec

      Specifies the values of the compute machine set CR. The values are platform-specific. For more information about <providerSpec> parameters in the CR, see the sample compute machine set CR configuration for your provider.

  3. Create a MachineSet CR by running the following command:

    $ oc create -f <file_name>.yaml
Verification

  • View the list of compute machine sets by running the following command:

    $ oc get machineset -n openshift-machine-api
    Example output
    NAME                                       DESIRED   CURRENT   READY   AVAILABLE   AGE
agl030519-vplxk-windows-worker-us-east-1a  1         1         1       1           11m
agl030519-vplxk-worker-us-east-1a          1         1         1       1           55m
agl030519-vplxk-worker-us-east-1b          1         1         1       1           55m
agl030519-vplxk-worker-us-east-1c          1         1         1       1           55m
agl030519-vplxk-worker-us-east-1d          0         0                             55m
agl030519-vplxk-worker-us-east-1e          0         0                             55m
agl030519-vplxk-worker-us-east-1f          0         0                             55m

    When the new compute machine set is available, the DESIRED and CURRENT values match. If the compute machine set is not available, wait a few minutes and run the command again.

Additional resources