This page describes how to manage virtual machines on Google Distributed Cloud connected servers running VM Runtime on Google Distributed Cloud. You must be familiar with VM Runtime on GDC before completing the steps on this page. For a list of supported guest operating systems, see Verified guest operating systems for VM Runtime on GDC.
To learn how virtual machines serve as an essential component of the Distributed Cloud connected platform, see Extending GKE Enterprise to manage on-premises edge VMs.
Distributed Cloud connected clusters support virtual machine webhooks. This allows Distributed Cloud connected to validate user requests made to the local Kubernetes API server. Rejected requests generate detailed information on the reason for rejection.
Configure Symcloud Storage
Google Distributed Cloud connected servers use Rakuten Symcloud Storage, as their storage solution. Symcloud Storage is a third-party solution that acts as a local storage abstraction layer on each Distributed Cloud connected node and makes its local storage available to workloads running on other Distributed Cloud connected nodes.
Symcloud Storage is deployed from Google Cloud Marketplace and is subject to the terms stated therein. Google provides limited support for using Symcloud Storage with Distributed Cloud connected and might engage the third-party provider for assistance. Software updates for Symcloud Storage are included in the Distributed Cloud connected software updates.
Configure your Google Distributed Cloud connected cluster as follows to enable Symcloud Storage for virtual machines:
Create the
robinio
namespace with the following command:kubectl create ns robinio
Obtain the Symcloud Storage license file and apply it to the cluster with the following command:
kubectl apply LICENSE_FILE
Verify that Symcloud Storage is up and running with the following command:
kubectl apply LICENSE_FILE
The command returns output similar to the following:
Name: robin Namespace: Labels: app.kubernetes.io/instance=robin app.kubernetes.io/managed-by=robin.io app.kubernetes.io/name=robin Annotations: <none> API Version: manage.robin.io/v1 Kind: RobinCluster Metadata: … Spec: … Status: … Phase: Ready …
Create the
robin-block-immediate
storage class by applying the following configuration to the cluster:apiVersion: storage.k8s.io/v1 kind: StorageClass metadata: name: robin-block-immediate parameters: faultdomain: host replication: "3" blocksize: "512" provisioner: robin reclaimPolicy: Delete volumeBindingMode: Immediate allowVolumeExpansion: true
Create the
robin-snapshotclass
volume snapshot class by applying the following configuration to the cluster:apiVersion: snapshot.storage.k8s.io/v1 kind: VolumeSnapshotClass metadata: name: robin-snapshotclass labels: app.kubernetes.io/instance: robin app.kubernetes.io/managed-by: robin.io app.kubernetes.io/name: robin annotations: snapshot.storage.kubernetes.io/is-default-class: "true" driver: robin deletionPolicy: Delete
Enable VM Runtime on GDC support on Distributed Cloud connected
By default, VM Runtime on GDC virtual machine support is disabled on Distributed Cloud connected. To enable it, complete the steps in this section. The instructions in this section assume that you have a fully functioning Distributed Cloud connected cluster.
To enable the VM Runtime on GDC virtual machine subsystem, complete the following steps:
Modify the
VMRuntime
custom resource with the following contents and apply it to your cluster:apiVersion: vm.cluster.gke.io/v1 kind: VMRuntime metadata: annotations: baremetal.cluster.gke.io/vmrumtime-force-disable: "false" vm.cluster.gke.io/enable-vm-backup: "true" spec: enabled: true storage: defaultStorageClass: robin-block-immediate haPolicy: defaultRecoveryStrategy: Reschedule nodeHeartbeatInterval: 15s nodeMonitorGracePeriod: 55s
This process typically takes several minutes to complete.
Use the following command to verify that the
VMRuntime
custom resource has been applied to your cluster:kubectl get vmruntime
The command returns output similar to the following example:
NAME AGE ENABLED READY PREFLIGHTCHECK vmruntime 5m true true true
Modify the
storageprofile
for therobin-block-immediate
storage class with the following contents and apply it to your cluster:apiVersion: cdi.kubevirt.io/v1beta1 kind: StorageProfile metadata: name: robin-block-immediate spec: claimPropertySets: accessModes: ReadWriteMany volumeMode: Block
Install the virtctl
management tool
You need the virtctl
client tool to manage virtual machines on your
Distributed Cloud connected cluster. To install the tool, complete the
following steps:
Install the
virtctl
client tool as akubectl
plugin:export VERSION=v0.59.0-anthos1.28-gke.8 gcloud storage cp gs://anthos-baremetal-release/virtctl/${VERSION}/linux-amd64/virtctl/usr/local/bin/virtctl cd /usr/local/bin sudo ln -s virtctl kubectl-virt sudo chmod a+x virtctl cd -
Verify that the
virt
plugin is installed:kubectl plugin list
If the plugin has been successfully installed, the command's output lists
kubectl-virt
as one of the plugins.
Create a Cloud Storage bucket for virtual machine images
Complete the steps in this section to create a Cloud Storage bucket for your virtual machine images. If you already have an established image repository, skip this section.
Complete the steps in Create buckets to create a bucket.
Configure a service account and a key to for accessing the bucket with the following commands:
export PROJECT_ID=$(gcloud config get-value project) gcloud iam service-accounts create image-access gcloud projects add-iam-policy-binding $PROJECT_ID \ --member="serviceAccount:image-access@${PROJECT_ID}.iam.gserviceaccount.com" \ --role="roles/storage.objectViewer" \ gcloud iam service-accounts keys create ./image-access-gcr.json \ --iam-account="image-access@${PROJECT_ID}.iam.gserviceaccount.com"
Create a secret in the cluster for accessing the bucket. If your bucket is public, skip this step. This secret must exist in the same namespace as your virtual machine disks. You must create a secret in each affected namespace.
kubectl create secret generic gcs-image-sa --from-file=creds-gcp.json=./image-access-gcr.json -n NAMESPACE
Replace
CLUSTER_ID
with the name of the target namespace.Store your images in the bucket.
Create a virtual machine disk from a virtual machine image
Complete the steps in this section to create a virtual machine disk from a virtual machine image.
Create a disk from an image stored in Cloud Storage
Create a virtual machine disk from a virtual machine stored in your Cloud Storage bucket by applying the following configuration to your cluster:
apiVersion: vm.cluster.gke.io/v1 kind: VirtualMachineDisk metadata: name: DISK_NAME namespace: NAMESPACE spec: source: gcs: url: gs://{PROJECT_ID}-vm-images/IMAGE_FILE secretRef: gcs-image-sa size: DISK_SIZE storageClassName: robin-block-immediate
Replace the following:
DISK_NAME
: the name of this virtual machine disk.NAMESPACE
: the target namespace.IMAGE_FILE
: the name of virtual machine image file.DISK_SIZE
: the desired disk size. This must be larger than thevirtual-size
value of the virtual machine image file. You can find this value with the commandqemu-img info DISK_SIZE
.
If you don't specify a storageClassName
value, the default value specified in
the VMRuntime
resource is used.
Create a disk from an existing disk image
Create a virtual machine disk from an existing virtual machine disk or image file on your cluster as follows.
Create the target disk by applying the following configuration to your cluster:
apiVersion: vm.cluster.gke.io/v1 kind: VirtualMachineDisk metadata: name: IMAGE_DISK_NAME namespace: NAMESPACE spec: source: virtualMachineDisk: name: EXISTING_DISK_NAME size: DISK_SIZE storageClassName: robin-block-immediate
Replace the following:
IMAGE_DISK_NAME
: the name of this virtual machine disk.NAMESPACE
: the target namespace.EXISTING_DISK_NAME
: the name of the existing virtual machine disk.DISK_SIZE
: the desired disk size. This must be equal to or larger than the size of the existing disk or image file.
You can obtain the size of your existing disk or image file using the
qemu-img
tool as follows:qemu-img info EXISTING_DISK_NAME
If you don't specify a
storageClassName
value, the default value specified in theVMRuntime
resource is used.Create a new disk from your existing image file by applying the following configuration to your cluster:
apiVersion: vm.cluster.gke.io/v1 kind: VirtualMachineDisk metadata: name: DISK_NAME namespace: NAMESPACE spec: source: virtualMachineDisk: name: IMAGE_DISK_NAME size: DISK_SIZE storageClassName: robin-block-immediate
Replace the following:
IMAGE_DISK_NAME
: the name of the virtual machine disk you created in the previous step.NAMESPACE
: the target namespace.DISK_SIZE
: the desired disk size. Must be equal to the size of the virtual machine disk you created in the previous step.
Resize the target disk to the desired size using the following command:
kubectl edit gdisk DISK_NAME -n NAMESPACE
Replace the following:
DISK_NAME
: the name of the virtual machine disk you created in the previous step.NAMESPACE
: the target namespace.
Modify the
spec.size
value in the configuration of the disk and apply it to your cluster.
Create an empty disk
Create an empty virtual machine disk by applying the following configuration to your cluster:
apiVersion: vm.cluster.gke.io/v1 kind: VirtualMachineDisk metadata: name: DISK_NAME namespace: NAMESPACE spec: size: DISK_SIZE storageClassName: robin-block-immediate
Replace the following:
DISK_NAME
: the name of this virtual machine disk.NAMESPACE
: the target namespace.DISK_SIZE
: the desired disk size in gibibytes. This must be larger than thevirtual-size
value of the virtual machine image file. You can find this value with the commandqemu-img info DISK_SIZE
.
If you don't specify a storageClassName
value, the default value specified in
the VMRuntime
resource is used.
Configure virtual networking
Follow the steps in Networking to configure the virtual networking for your virtual machines.
Create a virtual machine
Complete the steps in this section to create a virtual machine on your Distributed Cloud connected server deployment. The instructions in this section are examples meant to illustrate configurations for different scenarios. For detailed information on configuring virtual machines, see Create a VM with specific CPU and memory resources using VM Runtime on GDC.
Create a virtual machine from a bootable disk image
To create a virtual machine from a bootable disk image, apply the following configuration to your cluster:
kind: VirtualMachine metadata: name: my-virtual-machine namespace: my-vm-namespace spec: osType: Linux/Windows guestEnvironment: {} // comment out this line to enable guest environment for access management autoRestartOnConfigurationChange: true compute: cpu: vcpus: 6 memory: capacity: 8Gi interfaces: - name: eth0 networkName: network-410 ipAddresses: - 10.223.237.10/25 disks: - virtualMachineDiskName: my-boot-disk boot: true - virtualMachineDiskName: my-data-disk
Replace the following:
DISK_NAME
: the name of this virtual machine disk.NAMESPACE
: the target namespace.
Create a virtual machine from an ISO optical disc image
To create a virtual machine from an ISO optical disc image, complete the steps in Create a Windows VM from ISO image in Google Distributed Cloud.
Create a virtual machine with GPU support
Complete the steps
Access a virtual machine
Complete the steps in this section to access a virtual machine running on your Distributed Cloud connected server deployment.
Obtain access credentials
Complete the steps in this section to obtain the credentials necessary to access your virtual machine using the Linux guest environment feature.
Enable the Linux guest environment for the target virtual machine by applying the following configuration to your cluster:
kind: VirtualMachine metadata: name: my-virtual-machine namespace: my-vm-namespace spec: osType: Linux guestEnvironment: {} autoRestartOnConfigurationChange: true
Generate an
id_rsa.pub
file containing an SSH key pair with the following command:ssh-keygen -t rsa
Create a
VirtualMachineAccessRequest
resource by applying the following configuration to your cluster:apiVersion: vm.cluster.gke.io/v1alpha1 kind: VirtualMachineAccessRequest metadata: name: RESOURCE_NAME namespace: NAMESPACE spec: vm: VM_NAME user: USER_NAME ssh: key: RSA_KEY ttl: 2h
Replace the following:
RESOURCE_NAME
: a descriptive name for this virtual machine access request resource.NAMESPACE
: the target namespace.VM_NAME
: the name of the target virtual machine.USER_NAME
: the name of the user to whom access is being granted.RSA_KEY
: the contents of theid_rsa.pub
file you generated in the previous step.
Check the status of the access request with the following command:
kubectl get vmar
When the command returns a
Configured
status, proceed to the next step.Access the virtual machine with SSH or Remote Desktop:
- If the virtual machine is connected to your local network, you can access it directly.
- If the virtual machine is connected to the Pod network, you must create a load balancer service to access the required ports.
Start, restart, or stop a virtual machine
Use the following commands to start, restart, or stop a virtual machine:
- Start a virtual machine:
kubectl virt start vm
VM_NAME
-n
NAMESPACE
- Restart a virtual machine:
kubectl virt restart vm
VM_NAME
-n
NAMESPACE
- Stop a virtual machine:
kubectl virt stop vm
VM_NAME
-n
NAMESPACE
Replace the following:
VM_NAME
: the name of the target virtual machine.NAMESPACE
: the target namespace.
What's next
- Manage virtual machines on Distributed Cloud connected racks
- Deploy workloads on Distributed Cloud connected
- Manage GPU workloads
- Manage zones
- Manage machines
- Manage clusters
- Manage node pools