Creating a Windows MachineSet object on Nutanix
You can create a Windows MachineSet object to serve a specific purpose in your OpenShift Container Platform cluster on Nutanix. 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.
Prerequisites
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You installed the Windows Machine Config Operator (WMCO) using Operator Lifecycle Manager (OLM).
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You are using a supported Windows Server as the operating system image.
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You added a new DNS entry for the internal API server URL,
api-int.<cluster_name>.<base_domain>, that points to the external API server URL,api.<cluster_name>.<base_domain>. This can be a CNAME or an additional A record.
Machine API overview
The Machine API is a combination of primary resources that are based on the upstream Cluster API project and custom OpenShift Container Platform resources.
For OpenShift Container Platform 4.19 clusters, the Machine API performs all node host provisioning management actions after the cluster installation finishes. Because of this system, OpenShift Container Platform 4.19 offers an elastic, dynamic provisioning method on top of public or private cloud infrastructure.
The two primary resources are:
- Machines
-
A fundamental unit that describes the host for a node. A machine has a
providerSpecspecification, which describes the types of compute nodes that are offered for different cloud platforms. For example, a machine type for a compute node might define a specific machine type and required metadata. - Machine sets
-
MachineSetresources are groups of compute machines. Compute machine sets are to compute machines as replica sets are to pods. If you need more compute machines or must scale them down, you change thereplicasfield on theMachineSetresource to meet your compute need.Warning
Control plane machines cannot be managed by compute machine sets.
Control plane machine sets provide management capabilities for supported control plane machines that are similar to what compute machine sets provide for compute machines.
For more information, see “Managing control plane machines".
The following custom resources add more capabilities to your cluster:
- Machine autoscaler
-
The
MachineAutoscalerresource automatically scales compute machines in a cloud. You can set the minimum and maximum scaling boundaries for nodes in a specified compute machine set, and the machine autoscaler maintains that range of nodes.The
MachineAutoscalerobject takes effect after aClusterAutoscalerobject exists. BothClusterAutoscalerandMachineAutoscalerresources are made available by theClusterAutoscalerOperatorobject. - Cluster autoscaler
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This resource is based on the upstream cluster autoscaler project. In the OpenShift Container Platform implementation, it is integrated with the Machine API by extending the compute machine set API. You can use the cluster autoscaler to manage your cluster in the following ways:
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Set cluster-wide scaling limits for resources such as cores, nodes, memory, and GPU
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Set the priority so that the cluster prioritizes pods and new nodes are not brought online for less important pods
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Set the scaling policy so that you can scale up nodes but not scale them down
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- Machine health check
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The
MachineHealthCheckresource detects when a machine is unhealthy, deletes it, and, on supported platforms, makes a new machine.
In OpenShift Container Platform version 3.11, you could not roll out a multi-zone architecture easily because the cluster did not manage machine provisioning. Beginning with OpenShift Container Platform version 4.1, this process is easier. Each compute machine set is scoped to a single zone, so the installation program sends out compute machine sets across availability zones on your behalf. And then because your compute is dynamic, and in the face of a zone failure, you always have a zone for when you must rebalance your machines. In global Azure regions that do not have multiple availability zones, you can use availability sets to ensure high availability. The autoscaler provides best-effort balancing over the life of a cluster.
Sample YAML for a Windows MachineSet object on Nutanix
This sample YAML defines a Windows MachineSet object running on Nutanix 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>
name: <infrastructure_id>-windows-worker-<zone>
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>-windows-worker-<zone>
template:
metadata:
labels:
machine.openshift.io/cluster-api-cluster: <infrastructure_id>
machine.openshift.io/cluster-api-machine-role: worker
machine.openshift.io/cluster-api-machine-type: worker
machine.openshift.io/cluster-api-machineset: <infrastructure_id>-windows-worker-<zone>
machine.openshift.io/os-id: Windows
spec:
metadata:
labels:
node-role.kubernetes.io/worker: ""
providerSpec:
value:
apiVersion: machine.openshift.io/v1
bootType: ""
categories: null
cluster:
type: uuid
uuid: <cluster_uuid>
credentialsSecret:
name: nutanix-credentials
image:
name: <image_id>
type: name
kind: NutanixMachineProviderConfig
memorySize: 16Gi
project:
type: ""
subnets:
- type: uuid
uuid: <subnet_uuid>
systemDiskSize: 120Gi
userDataSecret:
name: windows-user-data
vcpuSockets: 4
vcpusPerSocket: 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 - Specify the infrastructure ID, worker label, and zone.
- Configure the compute machine set as a Windows machine.
- Configure the Windows node as a compute machine.
- Specifies the boot type that the compute machines use. For more information about boot types, see Understanding UEFI, Secure Boot, and TPM in the Virtualized Environment. Valid values are
Legacy,SecureBoot, orUEFI. The default isLegacy.Note
You must use the
Legacyboot type in OpenShift Container Platform 4.19. - Specifies a Nutanix Prism Element cluster configuration. In this example, the cluster type is
uuid, so there is auuidstanza. - Specifies the secret name for the cluster. Do not change this value.
- Specifies the image to use. Use an image from an existing default compute machine set for the cluster.
- Specifies the cloud provider platform type. Do not change this value.
- Specifies the amount of memory for the cluster in Gi.
- Specifies a subnet configuration. In this example, the subnet type is
uuid, so there is auuidstanza. - Specifies the size of the system disk in Gi.
- Specifies the name of the secret in the user data YAML file that is in the
openshift-machine-apinamespace. Use the value that installation program populates in the default compute machine set. - Specifies the number of vCPU sockets.
- Specifies the number of vCPUs per socket.
Creating a compute machine set
In addition to the compute machine sets created by the installation program, you can create your own to dynamically manage the machine compute resources for specific workloads of your choice.
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Deploy an OpenShift Container Platform cluster.
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Install the OpenShift CLI (
oc). -
Log in to
ocas a user withcluster-adminpermission.
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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. -
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.
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To list the compute machine sets in your cluster, run the following command:
$ oc get machinesets -n openshift-machine-apiExample outputNAME 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 -
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 yamlExample outputapiVersion: 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: ...- The cluster infrastructure ID.
- A default node label.
Note
For clusters that have user-provisioned infrastructure, a compute machine set can only create
workerandinfratype machines. - The values in the
<providerSpec>section of the compute machine set CR are platform-specific. For more information about<providerSpec>parameters in the CR, see the sample compute machine set CR configuration for your provider.
-
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Create a
MachineSetCR by running the following command:$ oc create -f <file_name>.yaml
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View the list of compute machine sets by running the following command:
$ oc get machineset -n openshift-machine-apiExample outputNAME DESIRED CURRENT READY AVAILABLE AGE agl030519-vplxk-infra-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 55mWhen the new compute machine set is available, the
DESIREDandCURRENTvalues match. If the compute machine set is not available, wait a few minutes and run the command again.