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Features

Feature Status API Version Example Description
Antrea Network Policy Alpha vlabs kubernetes-antrea.json Description
Azure Key Vault Encryption Alpha vlabs kubernetes-keyvault-encryption.json Description
Calico Network Policy Alpha vlabs kubernetes-calico.json Description
Cilium Network Policy Alpha vlabs kubernetes-cilium.json Description
ContainerD Runtime for Windows Experimental vlabs kubernetes-hybrid.containerd.json Description
Custom VNET Beta vlabs kubernetesvnet-azure-cni.json Description
Ephemeral OS Disks Experimental vlabs ephmeral-disk.json Description
Managed Disks Beta vlabs kubernetes-vmas.json Description
Private Cluster Alpha vlabs kubernetes-private-cluster.json Description
Shared Image Gallery images Alpha vlabs custom-shared-image.json Description

Managed Identity

Enabling Managed Identity configures aks-engine to include and use MSI identities for all interactions with the Azure Resource Manager (ARM) API.

Instead of using a static service principal written to /etc/kubernetes/azure.json, Kubernetes will use a dynamic, time-limited token fetched from the MSI extension running on master and agent nodes. This support is currently alpha and requires Kubernetes v1.9.1 or newer.

Enable Managed Identity by adding useManagedIdentity in kubernetesConfig.

"kubernetesConfig": {
  "useManagedIdentity": true
}

Optional: Disable Kubernetes Role-Based Access Control (RBAC) (for clusters running Kubernetes versions before 1.15.0)

By default, the cluster will be provisioned with Role-Based Access Control enabled. Disable RBAC by adding enableRbac in kubernetesConfig in the API model:

"kubernetesConfig": {
  "enableRbac": false
}

To emphasize: RBAC support is required for all Kubernetes clusters >= 1.15.0

See cluster definitions for further detail.

Managed Disks

Managed disks are supported for both node OS disks and Kubernetes persistent volumes.

Related upstream PR for details.

Using Kubernetes Persistent Volumes

By default, each AKS Engine cluster is bootstrapped with several StorageClass resources. This bootstrapping is handled by the addon-manager pod that creates resources defined under /etc/kubernetes/addons directory on master VMs.

Non-managed Disks

The default storage class has been set via the Kubernetes admission controller DefaultStorageClass.

The default storage class will be used if persistent volume resources don't specify a storage class as part of the resource definition.

The default storage class uses non-managed blob storage and will provision the blob within an existing storage account present in the resource group or provision a new storage account.

Non-managed persistent volume types are available on all VM sizes.

Managed Disks

As part of cluster bootstrapping, two storage classes will be created to provide access to create Kubernetes persistent volumes using Azure managed disks.

Nodes will be labelled as follows if they support managed disks:

storageprofile=managed
storagetier=<Standard_LRS|Premium_LRS>

They are managed-premium and managed-standard and map to Standard_LRS and Premium_LRS managed disk types respectively.

kubectl get nodes -l storageprofile=managed
NAME                    STATUS    AGE       VERSION
k8s-agent1-23731866-0   Ready     24m       v1.12.8

  • The VM size must support the type of managed disk type requested. For example, Premium VM sizes with managed OS disks support both managed-standard and managed-premium storage classes whereas Standard VM sizes with managed OS disks only support managed-standard storage class.

  • If you have mixed node cluster (both non-managed and managed disk types). You must use affinity or nodeSelectors on your resource definitions in order to ensure that workloads are scheduled to VMs that support the underlying disk requirements.

For example:

spec:
  affinity:
    nodeAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        nodeSelectorTerms:
        - matchExpressions:
          - key: storageprofile
            operator: In
            values:
            - managed

Using Azure integrated networking (CNI)

Kubernetes clusters are configured by default to use the Azure CNI plugin which provides an Azure native networking experience. Pods will receive IP addresses directly from the vnet subnet on which they're hosted. If the API model doesn't specify explicitly, aks-engine will automatically provide the following networkPlugin configuration in kubernetesConfig:

"kubernetesConfig": {
  "networkPlugin": "azure"
}

Additional Azure integrated networking configuration

In addition you can modify the following settings to change the networking behavior when using Azure integrated networking:

IP addresses are pre-allocated in the subnet. Using ipAddressCount you can specify how many you would like to pre-allocate. This number needs to account for number of pods you would like to run on that subnet.

"masterProfile": {
  "ipAddressCount": 200
},

Currently, the IP addresses that are pre-allocated aren't allowed by the default natter for Internet bound traffic. In order to work around this limitation we allow the user to specify the vnetCidr (eg. 10.0.0.0/8) to be EXCLUDED from the default masquerade rule that is applied. The result is that traffic destined for anything within that block will NOT be natted on the outbound VM interface. This field has been called vnetCidr but may be wider than the vnet cidr block if you would like POD IPs to be routable across vnets using vnet-peering or express-route.

"masterProfile": {
  "vnetCidr": "10.0.0.0/8",
},

When using Azure integrated networking the maxPods setting will be set to 30 by default. This number can be changed keeping in mind that there is a limit of 65,536 IPs per vnet.

"kubernetesConfig": {
  "kubeletConfig": {
    "--max-pods": "50"
  }
}

Network Policy Enforcement with Calico

Using the default configuration, Kubernetes allows communication between all Pods within a cluster. To ensure that Pods can only be accessed by authorized Pods, a policy enforcement is needed. To enable policy enforcement using Calico refer to the cluster definitions document under networkPolicy. There is also a reference cluster definition available here.

This will deploy a Calico node controller to every instance of the cluster using a Kubernetes DaemonSet. After a successful deployment you should be able to see these Pods running in your cluster:

$ kubectl get pods --namespace kube-system -l k8s-app=calico-node -o wide
NAME                READY     STATUS    RESTARTS   AGE       IP             NODE
calico-node-034zh   2/2       Running   0          2h        10.240.255.5   k8s-master-30179930-0
calico-node-qmr7n   2/2       Running   0          2h        10.240.0.4     k8s-agentpool1-30179930-1
calico-node-z3p02   2/2       Running   0          2h        10.240.0.5     k8s-agentpool1-30179930-0

Per default Calico still allows all communication within the cluster. Using Kubernetes' NetworkPolicy API, you can define stricter policies. Good resources to get information about that are:

Calico 3.3 cleanup after upgrading to 3.5 or greater

Because Calico 3.3 is using Calico CNI, while Calico 3.5 or greater moves to Azure CNI, if the cluster is upgraded from calico 3.3 to 3.5 or greater, then some manual cluster resource cleanup will be required to successfully complete the upgrade. We've provided a sample resource spec here that can be used as an example:

https://github.com/Azure/aks-engine/raw/master/docs/topics/calico-3.3.1-cleanup-after-upgrade.yaml

There are some placeholder tokens in the above yaml file, so please reconcile those with the actual values in your cluster. Look for these placeholder strings in the spec, then compare with the running spec of the comparable pre-3.5 resource in your cluster, and modify the cleanup spec accordingly:

  • <calicoIPAMConfig>
  • <kubeClusterCidr>

And then using your modified file, do something like this:

kubectl delete -f calico-3.3.1-cleanup-after-upgrade-modified-with-my-cluster-configuration.yaml

After this, addon-manager would enforce the correct spec for Calico 3.5 or greater.

Network Policy Enforcement with Cilium

Using the default configuration, Kubernetes allows communication between all Pods within a cluster. To ensure that Pods can only be accessed by authorized Pods, a policy enforcement is needed. To enable policy enforcement using Cilium refer to the cluster definitions document under networkPolicy. There is also a reference cluster definition available here.

This will deploy a Cilium agent to every instance of the cluster using a Kubernetes DaemonSet. After a successful deployment you should be able to see these Pods running in your cluster:

$ kubectl get pods --namespace kube-system -l k8s-app=cilium -o wide
NAME                READY     STATUS    RESTARTS   AGE       IP             NODE
cilium-034zh   2/2       Running   0          2h        10.240.255.5   k8s-master-30179930-0
cilium-qmr7n   2/2       Running   0          2h        10.240.0.4     k8s-agentpool1-30179930-1
cilium-z3p02   2/2       Running   0          2h        10.240.0.5     k8s-agentpool1-30179930-0

Per default Cilium still allows all communication within the cluster. Using Kubernetes' NetworkPolicy API, you can define stricter policies. Good resources to get information about that are:

Network Policy Enforcement with Antrea

Using the default configuration, Kubernetes allows communication between all Pods within a cluster. To ensure that Pods can only be accessed by authorized Pods, a policy enforcement is needed. To enable policy enforcement using Antrea refer to the cluster definitions document under networkPolicy. There is also a reference cluster definition available here.

This will deploy single replica of Antrea controller and Antrea agent to every instance of the cluster using a Kubernetes DaemonSet. After a successful deployment you should be able to see these Pods running in your cluster:

kubectl get pods --namespace kube-system  -l app=antrea -o wide
NAME                                 READY   STATUS    RESTARTS   AGE     IP             NODE
antrea-agent-67t9z                   2/2     Running   1          7m38s   10.240.0.5     k8s-agentpool1-14956401-vmss000001
antrea-agent-87nm2                   2/2     Running   0          11m     10.240.0.4     k8s-agentpool1-14956401-vmss000000
antrea-agent-fhbsg                   2/2     Running   0          11m     10.240.0.6     k8s-agentpool1-14956401-vmss000002
antrea-agent-jjhxt                   2/2     Running   0          11m     10.240.255.5   k8s-master-14956401-0
antrea-controller-685c8c6f64-zk4jh   1/1     Running   0          11m     10.240.0.4     k8s-agentpool1-14956401-vmss000000

Per default Antrea still allows all communication within the cluster. Using Kubernetes' NetworkPolicy API, you can define stricter policies. Good resources to get information about that are:

Custom VNET

Note: Custom VNET for Kubernetes Windows cluster has a known issue.

AKS Engine supports deploying into an existing VNET. Operators must specify the ARM path/id of Subnets for the masterProfile and any agentPoolProfiles, as well as the first IP address to use for static IP allocation in firstConsecutiveStaticIP. Please note that in any azure subnet, the first four and the last ip address is reserved and can not be used. Additionally, each pod now gets the IP address from the Subnet. As a result, enough IP addresses (equal to ipAddressCount for each node) should be available beyond firstConsecutiveStaticIP. By default, the ipAddressCount has a value of 31, 1 for the node and 30 for pods, (note that the number of pods can be changed via KubeletConfig["--max-pods"]). ipAddressCount can be changed if desired. Furthermore, to prevent source address NAT'ing within the VNET, we assign to the vnetCidr property in masterProfile the CIDR block that represents the usable address space in the existing VNET. Therefore, it is recommended to use a large subnet size such as /16.

Depending upon the size of the VNET address space, during deployment, it is possible to experience IP address assignment collision between the required Kubernetes static IPs (one each per master and one for the API server load balancer, if more than one masters) and Azure CNI-assigned dynamic IPs (one for each NIC on the agent nodes). In practice, the larger the VNET the less likely this is to happen; some detail, and then a guideline.

First, the detail:

  • Azure CNI assigns dynamic IP addresses from the "beginning" of the subnet IP address space (specifically, it looks for available addresses starting at ".4" ["10.0.0.4" in a "10.0.0.0/24" network])
  • AKS Engine will require a range of up to 16 unused IP addresses in multi-master scenarios (1 per master for up to 5 masters, and then the next 10 IP addresses immediately following the "last" master for headroom reservation, and finally 1 more for the load balancer immediately adjacent to the afore-described n masters+10 sequence) to successfully scaffold the network stack for your cluster

A guideline that will remove the danger of IP address allocation collision during deployment:

  • If possible, assign to the firstConsecutiveStaticIP configuration property an IP address that is near the "end" of the available IP address space in the desired subnet.
    • For example, if the desired subnet is a /24, choose the "239" address in that network space

In larger subnets (e.g., /16) it's not as practically useful to push static IP assignment to the very "end" of large subnet, but as long as it's not in the "first" /24 (for example) your deployment will be resilient to this edge case behavior.

Before provisioning, modify the masterProfile and agentPoolProfiles to match the above requirements, with the below being a representative example:

"masterProfile": {
  ...
  "vnetSubnetId": "/subscriptions/SUB_ID/resourceGroups/RG_NAME/providers/Microsoft.Network/virtualNetworks/VNET_NAME/subnets/MASTER_SUBNET_NAME",
  "firstConsecutiveStaticIP": "10.239.255.239",
  "vnetCidr": "10.239.0.0/16",
  ...
},
...
"agentPoolProfiles": [
  {
    ...
    "name": "agentpri",
    "vnetSubnetId": "/subscriptions/SUB_ID/resourceGroups/RG_NAME/providers/Microsoft.Network/virtualNetworks/VNET_NAME/subnets/AGENT_SUBNET_NAME",
    ...
  },

VirtualMachineScaleSets Masters Custom VNET

When using custom VNET with VirtualMachineScaleSets MasterProfile, make sure to create two subnets within the vnet: master and agent. Modify masterProfile in the API model, vnetSubnetId, agentVnetSubnetId should be set to the values of the master subnet and the agent subnet in the existing vnet respectively. Modify agentPoolProfiles, vnetSubnetId should be set to the value of the agent subnet in the existing vnet.

NOTE: The firstConsecutiveStaticIP configuration should be empty and will be derived from an offset and the first IP in the vnetCidr. For example, if vnetCidr is 10.239.0.0/16, master subnet is 10.239.0.0/17, agent subnet is 10.239.128.0/17, then firstConsecutiveStaticIP will be 10.239.0.4.

"masterProfile": {
  ...
  "vnetSubnetId": "/subscriptions/SUB_ID/resourceGroups/RG_NAME/providers/Microsoft.Network/virtualNetworks/VNET_NAME/subnets/MASTER_SUBNET_NAME",
  "agentVnetSubnetId": "/subscriptions/SUB_ID/resourceGroups/RG_NAME/providers/Microsoft.Network/virtualNetworks/VNET_NAME/subnets/AGENT_SUBNET_NAME",
  "vnetCidr": "10.239.0.0/16",
  ...
},
...
"agentPoolProfiles": [
  {
    ...
    "name": "agentpri",
    "vnetSubnetId": "/subscriptions/SUB_ID/resourceGroups/RG_NAME/providers/Microsoft.Network/virtualNetworks/VNET_NAME/subnets/AGENT_SUBNET_NAME",
    ...
  },

Kubenet Networking Custom VNET

If you're *not- using Azure CNI (e.g., "networkPlugin": "kubenet" in the kubernetesConfig API model configuration object): After a custom VNET-configured cluster finishes provisioning, fetch the id of the Route Table resource from Microsoft.Network provider in your new cluster's Resource Group.

The route table resource id is of the format: /subscriptions/SUBSCRIPTIONID/resourceGroups/RESOURCEGROUPNAME/providers/Microsoft.Network/routeTables/ROUTETABLENAME

Existing subnets will need to use the Kubernetes-based Route Table so that machines can route to Kubernetes-based workloads.

Update properties of all subnets in the existing VNET route table resource by appending the following to subnet properties:

"routeTable": {
        "id": "/subscriptions/<SubscriptionId>/resourceGroups/<ResourceGroupName>/providers/Microsoft.Network/routeTables/k8s-master-<SOMEID>-routetable>"
}

E.g.:

"subnets": [
    {
      "name": "subnetname",
      "id": "/subscriptions/<SubscriptionId>/resourceGroups/<ResourceGroupName>/providers/Microsoft.Network/virtualNetworks/<VirtualNetworkName>/subnets/<SubnetName>",
      "properties": {
        "provisioningState": "Succeeded",
        "addressPrefix": "10.240.0.0/16",
        "routeTable": {
          "id": "/subscriptions/<SubscriptionId>/resourceGroups/<ResourceGroupName>/providers/Microsoft.Network/routeTables/k8s-master-<SOMEID>-routetable"
        }
      ...
      }
      ...
    }
]

Private Cluster

You can build a private Kubernetes cluster with no public IP addresses assigned by setting:

"kubernetesConfig": {
  "privateCluster": {
    "enabled": true
}

In order to access this cluster using kubectl commands, you will need a jumpbox in the same VNET (or onto a peer VNET that routes to the VNET). If you do not already have a jumpbox, you can use aks-engine to provision your jumpbox (see below) or create it manually. You can create a new jumpbox manually in the Azure Portal under "Create a resource > Compute > Ubuntu Server 16.04 LTS VM" or using the az cli. You will then be able to:

  • install kubectl on the jumpbox
  • copy the kubeconfig artifact for the right region from the deployment directory to the jumpbox
  • run export KUBECONFIG=<path to your kubeconfig>
  • run kubectl commands directly on the jumpbox

Alternatively, you may also ssh into your nodes (given that your ssh key is on the jumpbox) and use the admin user kubeconfig on the cluster to run kubectl commands directly on the cluster. However, in the case of a multi-master private cluster, the connection will be refused when running commands on a master every time that master gets picked by the load balancer as it will be routing to itself (1 in 3 times for a 3 master cluster, 1 in 5 for 5 masters). This is expected behavior and therefore the method aforementioned of accessing nodes on the jumpbox using the _output directory kubeconfig is preferred.

To auto-provision a jumpbox with your aks-engine deployment use:

"kubernetesConfig": {
  "privateCluster": {
    "enabled": true,
    "jumpboxProfile": {
      "name": "my-jb",
      "vmSize": "Standard_D4s_v3",
      "osDiskSizeGB": 30,
      "username": "azureuser",
      "publicKey": "xxx"
    }
}

Azure Key Vault Data Encryption

Enabling Azure Key Vault Encryption configures aks-engine to create an Azure Key Vault in the same resource group as the Kubernetes cluster and configures Kubernetes to use a key from this Key Vault to encrypt and decrypt etcd data for the Kubernetes cluster.

To enable this feature, add "enableEncryptionWithExternalKms": true in kubernetesConfig and objectId in servicePrincipalProfile. Optional, if you want to create Hardware Security Modules (HSM) type keys, then add "keyVaultSku": "Premium" to enable creation of Premium SKU Key Vault and RSA-HSM type key. Otherwise, by default keyVaultSku can be omitted and a Standard SKU Key Vault and a RSA type key will be created.

"kubernetesConfig": {
  "enableEncryptionWithExternalKms": true,
  "keyVaultSku": "Premium",
}
...

"servicePrincipalProfile": {
  "clientId": "",
  "secret": "",
  "objectId": ""
}

Note: objectId is the objectId of the service principal used to create the key vault and to be granted access to keys in this key vault.

To get objectId of the service principal:

az ad sp list --spn <YOUR SERVICE PRINCIPAL appId>

Use a Shared Image Gallery image

This is possible by specifying imageReference under masterProfile, or on a given agentPoolProfile. It also requires setting the distro to an appropriate value (ubuntu, or flatcar [note: flatcar is only supported on nodes via agentPoolProfile]). When using imageReference with Shared Image Galleries, provide an image name and version, as well as the resource group, subscription, and name of the gallery. Example:

{
  "apiVersion": "vlabs",
  "properties": {
    "orchestratorProfile": {
      "orchestratorType": "Kubernetes"
    },
    "masterProfile": {
      "imageReference": {
        "name": "linuxvm",
        "resourceGroup": "sig",
        "subscriptionID": "00000000-0000-0000-0000-000000000000",
        "gallery": "siggallery",
        "version": "0.0.1"
      },
      "count": 1,
      "dnsPrefix": "",
      "vmSize": "Standard_D2_v3"
    },
    "agentPoolProfiles": [
      {
        "name": "agentpool1",
        "count": 3,
        "imageReference": {
          "name": "linuxvm",
          "resourceGroup": "sig",
          "subscriptionID": "00000000-0000-0000-0000-000000000000",
          "gallery": "siggallery",
          "version": "0.0.1"
        },
        "vmSize": "Standard_D2_v3",
        "availabilityProfile": "AvailabilitySet"
      }
    ],
    "linuxProfile": {
      "adminUsername": "azureuser",
      "ssh": {
        "publicKeys": [
          {
            "keyData": ""
          }
        ]
      }
    },
    "servicePrincipalProfile": {
      "clientId": "",
      "secret": ""
    }
  }
}

Ephemeral OS Disks

This feature is considered experimental, and you may lose data. We're still evaluating what risks exist and how to mitigate them.

Ephemeral OS Disks is a new feature in Azure that allows the OS disk to use local SSD storage, with no writes to Azure storage. If a VM is stopped or deprovisioned, it's local storage is lost. If the same VM is restarted, it starts from the original OS disk and reapplies the custom script extension from AKS-Engine to join the cluster.

Benefits - VMs deploy faster, and have better local storage performance. The OS disk will perform at the Max cached storage throughput for the VM size. For example with a Standard_D2s_v3 size VM using a 50 GiB OS disk - it can achieve 4000 IOPs with ephemeral disks enabled, or 240 IOPs using a Premium P6 Premium SSD at 50GiB. Apps will get faster container and emptydir performance. Container pull times are also improved.

Requirements:

  • Be sure you are using a VM size that supports cache for the local disk
  • The OS disk size must be set to <= the VM's cache size in GiB

These are fully explained in the Ephemeral OS Disks docs.

We are investigating possible risks & mitigations for when VMs are deprovisioned or moved for Azure maintenance:

  • Logs for containers on those nodes are lost.
  • Containers cannot be restarted on the same node, as their container directory and any emptydir volumes will be missing.

Windows ContainerD

This feature is currently experimental, and has open issues.

Kubernetes 1.18 introduces alpha support for the ContainerD runtime on Windows Server 2019. This is still a work-in-progress tracked in kubernetes/enhancements#1001. This feature in AKS-Engine is for testing the in-development versions of ContainerD and Kubernetes, and is not for production use. Be sure to review open issues if you want to test or contribute to this effort.

Containerd now has supported builds starting with https://github.com/containerd/containerd/releases/tag/v1.4.0. You can find nightly builds of Containerd at https://github.com/marosset/windows-cri-containerd/releases/download/nightly/windows-cri-containerd.zip.

Deploying multi-OS clusters with ContainerD

If you want to test or develop with Windows & ContainerD in AKS-Engine, see this sample kubernetes-hybrid.containerd.json

These parameters are all required.

      "kubernetesConfig": {
        "networkPlugin": "azure",
        "containerRuntime": "containerd",
        "windowsContainerdURL": "..."
      }

Hyper-v support

This feature in AKS-Engine is for testing the in-development versions of ContainerD and Kubernetes, and is not for production use. Be sure to review open issues if you want to test or contribute to this effort.

The current default for a Hyper-V enabled containerD sets process isolated containers as default. It is required to explicity set the Build Numbers of the OS in the api models to add Hyper-V options to containerD. For example, with the default settings, if your VM OS version is Windows Server 2004 (10.0.19041) and you apply a pod spec with no RuntimeClass setting, you will get a 2004 container running as a process isolated container.

To Configure other OS as hyper-v containers in the containerD set the following on the WindowsProfile:

"windowsProfile": {
      ...
      "windowsPublisher": "MicrosoftWindowsServer",
      "windowsOffer": "WindowsServer",
      "windowsSku": "Datacenter-Core-2004-with-Containers-smalldisk",
      "imageVersion": "latest",
      "windowsRuntimes": {
        "default": "process",
        "hypervRuntimes": [
          {"buildNumber": "17763"},
          {"buildNumber": "19041"}
        ]
      }
    },

Supported Hyperv OS build Id's are:

  • 17763 - Windows Server 2019 (1809)
  • 18362 - Windows Server SAC 1903
  • 18363 - Windows Server SAC 1909
  • 19041 - Windows Server SAC 2004

If you wish to use an OS version for a container below your current Host OS version or explicitly run in a Hyper-v conatiners, you will need to create a RuntimeClass object and map the pod to the RuntimeClass. Note that Hyper-V support is currently backwards compatible. You have to have a Host OS that is the same version or newer than the version of the container you wish to run. Multi-arch container images are not supported; You must have a single arch image if Hyper-V is enabled in containerd.

For example, assuming a Windows Host OS of 2004 (10.0.19041), you can apply the following RuntimeClass

apiVersion: node.k8s.io/v1beta1
kind: RuntimeClass
metadata:
  name: windows-2019
handler: 'runhcs-wcow-hypervisor-17763'
scheduling:
  nodeSelector:
    kubernetes.io/os: 'windows'
    kubernetes.io/arch: 'amd64'
    node.kubernetes.io/windows-build: '10.0.19041'
  tolerations:
  - effect: NoSchedule
    key: os
    operator: Equal
    value: "windows"

And then you would be able to run a 2019/1809 (10.0.17763) container by setting the runtimeClassName to the windows-2019 RuntimeClass on the container template:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: iis-ltsc2019
  labels:
    app: iis-ltsc2019
spec:
  replicas: 1
  template:
    metadata:
      name: iis-ltsc2019
      labels:
        app: iis-ltsc2019
    spec:
      runtimeClassName: windows-2019
      containers:
      - name: iis
        image: mcr.microsoft.com/windows/servercore/iis:windowsservercore-ltsc2019
        resources:
          limits:
            cpu: 1
            memory: 800m
          requests:
            cpu: .1
            memory: 300m
        ports:
          - containerPort: 80
      nodeSelector:
        "kubernetes.io/os": windows
  selector:
    matchLabels:
      app: iis-ltsc2019

The handler names for RuntimeClass will be dependent on the hypervRuntimes you enabled in the api model and will be in the format of runhcs-wcow-hypervisor-$buildNumber. The possible values (depending on configuration) are:

  • runhcs-wcow-process (defaults process isolated for current host OS build number)
  • runhcs-wcow-hypervisor-17763
  • runhcs-wcow-hypervisor-18362
  • runhcs-wcow-hypervisor-18363
  • runhcs-wcow-hypervisor-19041

Current limitations:

  • Currently the Runtime handlers are not configurable.
  • If you specify a handler that does not map the fields in ../../parts/k8s/containerdtemplate.toml, then the container will not start.
  • If you map to a container version that is higher than your current OS image your container will not start.
  • Multi-arch container images are not supported

You can learn more about RuntimeClasses and the future of the Windows support:

Building ContainerD with Hyper-V

As of Aug 10, 2020, the ContainerD Hyper-V support doesn't have public builds available. This repo has a script that will build it from source and create a ZIP file: build-windows-containerd.sh

Upload these ZIP files to a location that your cluster will be able to reach, then put those URLs in windowsContainerdURL in the AKS-Engine API model shown above.