이 콘텐츠는 선택한 언어로 제공되지 않습니다.

Chapter 3. Installing

3.1. Preparing your cluster for OpenShift Virtualization

Review this section before you install OpenShift Virtualization to ensure that your cluster meets the requirements.

3.1.1. Supported platforms

You can use the following platforms with OpenShift Virtualization:

Amazon Web Services bare metal instances.

3.1.1.1. OpenShift Virtualization on Red Hat OpenShift Service on AWS

You can run OpenShift Virtualization on a Red Hat OpenShift Service on AWS (ROSA) Classic cluster.

Before you set up your cluster, review the following summary of supported features and limitations:

Installing

You can install the cluster by using installer-provisioned infrastructure, ensuring that you specify bare-metal instance types for the worker nodes. For example, you can use the c5n.metal type value for a machine based on x86_64 architecture.
For more information, see the Red Hat OpenShift Service on AWS documentation about installing on AWS.

Accessing virtual machines (VMs)

There is no change to how you access VMs by using the virtctl CLI tool or the Red Hat OpenShift Service on AWS web console.
You can expose VMs by using a NodePort or LoadBalancer service.
- The load balancer approach is preferable because Red Hat OpenShift Service on AWS automatically creates the load balancer in AWS and manages its lifecycle. A security group is also created for the load balancer, and you can use annotations to attach existing security groups. When you remove the service, Red Hat OpenShift Service on AWS removes the load balancer and its associated resources.

Networking

If your application requires a flat layer 2 network or control over the IP pool, consider using OVN-Kubernetes secondary overlay networks.

Storage

You can use any storage solution that is certified by the storage vendor to work with the underlying platform.
Important
AWS bare-metal and ROSA clusters might have different supported storage solutions. Ensure that you confirm support with your storage vendor.

Using Amazon Elastic File System (EFS) or Amazon Elastic Block Store (EBS) with OpenShift Virtualization might cause performance and functionality limitations as shown in the following table:

Table 3.1. EFS and EBS performance and functionality limitations
Feature	EBS volume			EFS volume	Shared storage solutions
	gp2	gp3	io2
VM live migration	Not available	Not available	Available	Available	Available
Fast VM creation by using cloning	Available			Not available	Available
VM backup and restore by using snapshots	Available			Not available	Available

Consider using CSI storage, which supports ReadWriteMany (RWX), cloning, and snapshots to enable live migration, fast VM creation, and VM snapshots capabilities.

Additional resources

3.1.2. Hardware and operating system requirements

Review the following hardware and operating system requirements for OpenShift Virtualization.

3.1.2.1. CPU requirements

Supported by Red Hat Enterprise Linux (RHEL) 9.
See Red Hat Ecosystem Catalog for supported CPUs.
Note
If your worker nodes have different CPUs, live migration failures might occur because different CPUs have different capabilities. You can mitigate this issue by ensuring that your worker nodes have CPUs with the appropriate capacity and by configuring node affinity rules for your virtual machines.
See Configuring a required node affinity rule for details.
Support for AMD and Intel 64-bit architectures (x86-64-v2).
Support for Intel 64 or AMD64 CPU extensions.
Intel VT or AMD-V hardware virtualization extensions enabled.
NX (no execute) flag enabled.

3.1.2.2. Operating system requirements

Red Hat Enterprise Linux CoreOS (RHCOS) installed on worker nodes.

3.1.2.3. Storage requirements

Supported by Red Hat OpenShift Service on AWS.
If the storage provisioner supports snapshots, you must associate a VolumeSnapshotClass object with the default storage class.

3.1.2.3.1. About volume and access modes for virtual machine disks

If you use the storage API with known storage providers, the volume and access modes are selected automatically. However, if you use a storage class that does not have a storage profile, you must configure the volume and access mode.

For best results, use the ReadWriteMany (RWX) access mode and the Block volume mode. This is important for the following reasons:

ReadWriteMany (RWX) access mode is required for live migration.
The Block volume mode performs significantly better than the Filesystem volume mode. This is because the Filesystem volume mode uses more storage layers, including a file system layer and a disk image file. These layers are not necessary for VM disk storage.

Important

You cannot live migrate virtual machines with the following configurations:

Storage volume with ReadWriteOnce (RWO) access mode
Passthrough features such as GPUs

Set the evictionStrategy field to None for these virtual machines. The None strategy powers down VMs during node reboots.

3.1.3. Live migration requirements

Shared storage with ReadWriteMany (RWX) access mode.
Sufficient RAM and network bandwidth.
Note
You must ensure that there is enough memory request capacity in the cluster to support node drains that result in live migrations. You can determine the approximate required spare memory by using the following calculation:
```
Product of (Maximum number of nodes that can drain in parallel) and (Highest total VM memory request allocations across nodes)
```
The default number of migrations that can run in parallel in the cluster is 5.
If the virtual machine uses a host model CPU, the nodes must support the virtual machine’s host model CPU.
A dedicated Multus network for live migration is highly recommended. A dedicated network minimizes the effects of network saturation on tenant workloads during migration.

3.1.4. Physical resource overhead requirements

OpenShift Virtualization is an add-on to Red Hat OpenShift Service on AWS and imposes additional overhead that you must account for when planning a cluster. Each cluster machine must accommodate the following overhead requirements in addition to the Red Hat OpenShift Service on AWS requirements. Oversubscribing the physical resources in a cluster can affect performance.

Important

The numbers noted in this documentation are based on Red Hat’s test methodology and setup. These numbers can vary based on your own individual setup and environments.

Memory overhead

Calculate the memory overhead values for OpenShift Virtualization by using the equations below.

Cluster memory overhead

Memory overhead per infrastructure node ≈ 150 MiB

Memory overhead per worker node ≈ 360 MiB

Additionally, OpenShift Virtualization environment resources require a total of 2179 MiB of RAM that is spread across all infrastructure nodes.

Virtual machine memory overhead

Memory overhead per virtual machine ≈ (1.002 × requested memory) \
              + 218 MiB \ 1
              + 8 MiB × (number of vCPUs) \ 2
              + 16 MiB × (number of graphics devices) \ 3
              + (additional memory overhead) 4

1

Required for the processes that run in the virt-launcher pod.

2

Number of virtual CPUs requested by the virtual machine.

3

Number of virtual graphics cards requested by the virtual machine.

4

Additional memory overhead:

If your environment includes a Single Root I/O Virtualization (SR-IOV) network device or a Graphics Processing Unit (GPU), allocate 1 GiB additional memory overhead for each device.
If Secure Encrypted Virtualization (SEV) is enabled, add 256 MiB.
If Trusted Platform Module (TPM) is enabled, add 53 MiB.

CPU overhead

Calculate the cluster processor overhead requirements for OpenShift Virtualization by using the equation below. The CPU overhead per virtual machine depends on your individual setup.

Cluster CPU overhead

CPU overhead for infrastructure nodes ≈ 4 cores

OpenShift Virtualization increases the overall utilization of cluster level services such as logging, routing, and monitoring. To account for this workload, ensure that nodes that host infrastructure components have capacity allocated for 4 additional cores (4000 millicores) distributed across those nodes.

CPU overhead for worker nodes ≈ 2 cores + CPU overhead per virtual machine

Each worker node that hosts virtual machines must have capacity for 2 additional cores (2000 millicores) for OpenShift Virtualization management workloads in addition to the CPUs required for virtual machine workloads.

Virtual machine CPU overhead

If dedicated CPUs are requested, there is a 1:1 impact on the cluster CPU overhead requirement. Otherwise, there are no specific rules about how many CPUs a virtual machine requires.

Storage overhead

Use the guidelines below to estimate storage overhead requirements for your OpenShift Virtualization environment.

Cluster storage overhead

Aggregated storage overhead per node ≈ 10 GiB

10 GiB is the estimated on-disk storage impact for each node in the cluster when you install OpenShift Virtualization.

Virtual machine storage overhead

Storage overhead per virtual machine depends on specific requests for resource allocation within the virtual machine. The request could be for ephemeral storage on the node or storage resources hosted elsewhere in the cluster. OpenShift Virtualization does not currently allocate any additional ephemeral storage for the running container itself.

Example

As a cluster administrator, if you plan to host 10 virtual machines in the cluster, each with 1 GiB of RAM and 2 vCPUs, the memory impact across the cluster is 11.68 GiB. The estimated on-disk storage impact for each node in the cluster is 10 GiB and the CPU impact for worker nodes that host virtual machine workloads is a minimum of 2 cores.

Additional resources

Glossary of common terms for Red Hat OpenShift Service on AWS storage

3.2. Installing OpenShift Virtualization

Install OpenShift Virtualization to add virtualization functionality to your Red Hat OpenShift Service on AWS cluster.

3.2.1. Installing the OpenShift Virtualization Operator

Install the OpenShift Virtualization Operator by using the Red Hat OpenShift Service on AWS web console or the command line.

3.2.1.1. Installing the OpenShift Virtualization Operator by using the web console

You can deploy the OpenShift Virtualization Operator by using the Red Hat OpenShift Service on AWS web console.

Prerequisites

Install Red Hat OpenShift Service on AWS 4 on your cluster.
Log in to the Red Hat OpenShift Service on AWS web console as a user with cluster-admin permissions.
Create a machine pool based on a bare metal compute node instance type. For more information, see "Creating a machine pool" in the Additional resources of this section.

Procedure

From the Administrator perspective, click Operators OperatorHub.
In the Filter by keyword field, type Virtualization.
Select the OpenShift Virtualization Operator tile with the Red Hat source label.
Read the information about the Operator and click Install.
On the Install Operator page:
1. Select stable from the list of available Update Channel options. This ensures that you install the version of OpenShift Virtualization that is compatible with your Red Hat OpenShift Service on AWS version.
2. For Installed Namespace, ensure that the Operator recommended namespace option is selected. This installs the Operator in the mandatory openshift-cnv namespace, which is automatically created if it does not exist.
  Warning
  Attempting to install the OpenShift Virtualization Operator in a namespace other than openshift-cnv causes the installation to fail.
3. For Approval Strategy, it is highly recommended that you select Automatic, which is the default value, so that OpenShift Virtualization automatically updates when a new version is available in the stable update channel.
  While it is possible to select the Manual approval strategy, this is inadvisable because of the high risk that it presents to the supportability and functionality of your cluster. Only select Manual if you fully understand these risks and cannot use Automatic.
  Warning
  Because OpenShift Virtualization is only supported when used with the corresponding Red Hat OpenShift Service on AWS version, missing OpenShift Virtualization updates can cause your cluster to become unsupported.
Click Install to make the Operator available to the openshift-cnv namespace.
When the Operator installs successfully, click Create HyperConverged.
Optional: Configure Infra and Workloads node placement options for OpenShift Virtualization components.
Click Create to launch OpenShift Virtualization.

Verification

Navigate to the Workloads Pods page and monitor the OpenShift Virtualization pods until they are all Running. After all the pods display the Running state, you can use OpenShift Virtualization.

Additional resources

Creating a machine pool

3.2.1.2. Installing the OpenShift Virtualization Operator by using the command line

Subscribe to the OpenShift Virtualization catalog and install the OpenShift Virtualization Operator by applying manifests to your cluster.

3.2.1.2.1. Subscribing to the OpenShift Virtualization catalog by using the CLI

Before you install OpenShift Virtualization, you must subscribe to the OpenShift Virtualization catalog. Subscribing gives the openshift-cnv namespace access to the OpenShift Virtualization Operators.

To subscribe, configure Namespace, OperatorGroup, and Subscription objects by applying a single manifest to your cluster.

Prerequisites

Install Red Hat OpenShift Service on AWS 4 on your cluster.
Install the OpenShift CLI (oc).
Log in as a user with cluster-admin privileges.

Procedure

Create the required Namespace, OperatorGroup, and Subscription objects for OpenShift Virtualization by running the following command:
```
$ oc apply -f <file name>.yaml
```

Note

You can configure certificate rotation parameters in the YAML file.

3.2.1.2.2. Deploying the OpenShift Virtualization Operator by using the CLI

You can deploy the OpenShift Virtualization Operator by using the oc CLI.

Prerequisites

Subscribe to the OpenShift Virtualization catalog in the openshift-cnv namespace.
Log in as a user with cluster-admin privileges.
Create a machine pool based on a bare metal compute node instance type.

Procedure

Create a YAML file that contains the following manifest:

apiVersion: hco.kubevirt.io/v1beta1
kind: HyperConverged
metadata:
  name: kubevirt-hyperconverged
  namespace: openshift-cnv
spec:

Deploy the OpenShift Virtualization Operator by running the following command:
```
$ oc apply -f <file_name>.yaml
```

Verification

Ensure that OpenShift Virtualization deployed successfully by watching the PHASE of the cluster service version (CSV) in the openshift-cnv namespace. Run the following command:
```
$ watch oc get csv -n openshift-cnv
```
The following output displays if deployment was successful:
Example output
```
NAME                                      DISPLAY                    VERSION   REPLACES   PHASE
kubevirt-hyperconverged-operator.v4.17.2   OpenShift Virtualization   4.17.2                Succeeded
```

Additional resources

Creating a machine pool

3.2.2. Next steps

The hostpath provisioner is a local storage provisioner designed for OpenShift Virtualization. If you want to configure local storage for virtual machines, you must enable the hostpath provisioner first.

3.3. Uninstalling OpenShift Virtualization

You uninstall OpenShift Virtualization by using the web console or the command line interface (CLI) to delete the OpenShift Virtualization workloads, the Operator, and its resources.

3.3.1. Uninstalling OpenShift Virtualization by using the web console

You uninstall OpenShift Virtualization by using the web console to perform the following tasks:

Important

You must first delete all virtual machines, and virtual machine instances.

You cannot uninstall OpenShift Virtualization while its workloads remain on the cluster.

3.3.1.1. Deleting the HyperConverged custom resource

To uninstall OpenShift Virtualization, you first delete the HyperConverged custom resource (CR).

Prerequisites

You have access to an Red Hat OpenShift Service on AWS cluster using an account with cluster-admin permissions.

Procedure

Navigate to the Operators Installed Operators page.
Select the OpenShift Virtualization Operator.
Click the OpenShift Virtualization Deployment tab.
Click the Options menu beside kubevirt-hyperconverged and select Delete HyperConverged.
Click Delete in the confirmation window.

3.3.1.2. Deleting Operators from a cluster using the web console

Cluster administrators can delete installed Operators from a selected namespace by using the web console.

Prerequisites

You have access to an Red Hat OpenShift Service on AWS cluster web console using an account with dedicated-admin permissions.

Procedure

Navigate to the Operators Installed Operators page.
Scroll or enter a keyword into the Filter by name field to find the Operator that you want to remove. Then, click on it.
On the right side of the Operator Details page, select Uninstall Operator from the Actions list.
An Uninstall Operator? dialog box is displayed.
Select Uninstall to remove the Operator, Operator deployments, and pods. Following this action, the Operator stops running and no longer receives updates.
Note
This action does not remove resources managed by the Operator, including custom resource definitions (CRDs) and custom resources (CRs). Dashboards and navigation items enabled by the web console and off-cluster resources that continue to run might need manual clean up. To remove these after uninstalling the Operator, you might need to manually delete the Operator CRDs.

3.3.1.3. Deleting a namespace using the web console

You can delete a namespace by using the Red Hat OpenShift Service on AWS web console.

Prerequisites

You have access to an Red Hat OpenShift Service on AWS cluster using an account with cluster-admin permissions.

Procedure

Navigate to Administration Namespaces.
Locate the namespace that you want to delete in the list of namespaces.
On the far right side of the namespace listing, select Delete Namespace from the Options menu .
When the Delete Namespace pane opens, enter the name of the namespace that you want to delete in the field.
Click Delete.

3.3.1.4. Deleting OpenShift Virtualization custom resource definitions

You can delete the OpenShift Virtualization custom resource definitions (CRDs) by using the web console.

Prerequisites

You have access to an Red Hat OpenShift Service on AWS cluster using an account with cluster-admin permissions.

Procedure

Navigate to Administration CustomResourceDefinitions.
Select the Label filter and enter operators.coreos.com/kubevirt-hyperconverged.openshift-cnv in the Search field to display the OpenShift Virtualization CRDs.
Click the Options menu beside each CRD and select Delete CustomResourceDefinition.

3.3.2. Uninstalling OpenShift Virtualization by using the CLI

You can uninstall OpenShift Virtualization by using the OpenShift CLI (oc).

Prerequisites

You have access to an Red Hat OpenShift Service on AWS cluster using an account with cluster-admin permissions.
You have installed the OpenShift CLI (oc).
You have deleted all virtual machines and virtual machine instances. You cannot uninstall OpenShift Virtualization while its workloads remain on the cluster.

Procedure

Delete the HyperConverged custom resource:

$ oc delete HyperConverged kubevirt-hyperconverged -n openshift-cnv

Delete the OpenShift Virtualization Operator subscription:

$ oc delete subscription kubevirt-hyperconverged -n openshift-cnv

Delete the OpenShift Virtualization ClusterServiceVersion resource:

$ oc delete csv -n openshift-cnv -l operators.coreos.com/kubevirt-hyperconverged.openshift-cnv

Delete the OpenShift Virtualization namespace:
```
$ oc delete namespace openshift-cnv
```

List the OpenShift Virtualization custom resource definitions (CRDs) by running the oc delete crd command with the dry-run option:

$ oc delete crd --dry-run=client -l operators.coreos.com/kubevirt-hyperconverged.openshift-cnv

Example output

customresourcedefinition.apiextensions.k8s.io "cdis.cdi.kubevirt.io" deleted (dry run)
customresourcedefinition.apiextensions.k8s.io "hostpathprovisioners.hostpathprovisioner.kubevirt.io" deleted (dry run)
customresourcedefinition.apiextensions.k8s.io "hyperconvergeds.hco.kubevirt.io" deleted (dry run)
customresourcedefinition.apiextensions.k8s.io "kubevirts.kubevirt.io" deleted (dry run)
customresourcedefinition.apiextensions.k8s.io "networkaddonsconfigs.networkaddonsoperator.network.kubevirt.io" deleted (dry run)
customresourcedefinition.apiextensions.k8s.io "ssps.ssp.kubevirt.io" deleted (dry run)
customresourcedefinition.apiextensions.k8s.io "tektontasks.tektontasks.kubevirt.io" deleted (dry run)

Delete the CRDs by running the oc delete crd command without the dry-run option:

$ oc delete crd -l operators.coreos.com/kubevirt-hyperconverged.openshift-cnv

Additional resources

이 콘텐츠는 선택한 언어로 제공되지 않습니다.

Chapter 3. Installing

3.1. Preparing your cluster for OpenShift Virtualization

3.1.1. Supported platforms

3.1.1.1. OpenShift Virtualization on Red Hat OpenShift Service on AWS

3.1.2. Hardware and operating system requirements

3.1.2.1. CPU requirements

3.1.2.2. Operating system requirements

3.1.2.3. Storage requirements

3.1.2.3.1. About volume and access modes for virtual machine disks

3.1.3. Live migration requirements

3.1.4. Physical resource overhead requirements

Memory overhead

CPU overhead

Storage overhead

3.2. Installing OpenShift Virtualization

3.2.1. Installing the OpenShift Virtualization Operator

3.2.1.1. Installing the OpenShift Virtualization Operator by using the web console

3.2.1.2. Installing the OpenShift Virtualization Operator by using the command line

3.2.1.2.1. Subscribing to the OpenShift Virtualization catalog by using the CLI

3.2.1.2.2. Deploying the OpenShift Virtualization Operator by using the CLI

3.2.2. Next steps

3.3. Uninstalling OpenShift Virtualization

3.3.1. Uninstalling OpenShift Virtualization by using the web console

3.3.1.1. Deleting the HyperConverged custom resource

3.3.1.2. Deleting Operators from a cluster using the web console

3.3.1.3. Deleting a namespace using the web console

3.3.1.4. Deleting OpenShift Virtualization custom resource definitions

3.3.2. Uninstalling OpenShift Virtualization by using the CLI

자세한 정보

평가판, 구매 및 판매

커뮤니티

Red Hat 문서 정보

보다 포괄적 수용을 위한 오픈 소스 용어 교체

Red Hat 소개

Red Hat legal and privacy links

Red Hat legal and privacy links