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| examples | ||
| OWNERS | ||
| README.md | ||
| azure_agent_pool.go | ||
| azure_cache.go | ||
| azure_client.go | ||
| azure_cloud_provider.go | ||
| azure_cloud_provider_test.go | ||
| azure_container_service_pool.go | ||
| azure_fakes.go | ||
| azure_instance_types.go | ||
| azure_manager.go | ||
| azure_scale_set.go | ||
| azure_scale_set_test.go | ||
| azure_util.go | ||
| azure_util_test.go | ||
README.md
Cluster Autoscaler on Azure
The cluster autoscaler on Azure dynamically scales Kubernetes worker nodes. It runs as a deployment in your cluster.
This README will help you get cluster autoscaler running on your Azure Kubernetes cluster.
Kubernetes Version
Kubernetes v1.10.x or later is required to use cluster autoscaler on Azure. See the "Releases" section in the README for more information.
CA Version
Cluster autoscaler v1.2.x or later is required for Azure. See the "Releases" section in the README for more information.
NOTE: In the deployment manifests referenced below, be sure to replace the
{{ ca_version }}placeholder with an actual release, such asv1.14.2.
Permissions
Get Azure credentials by running the following Azure CLI command:
# replace <subscription-id> with yours.
az ad sp create-for-rbac --role="Contributor" --scopes="/subscriptions/<subscription-id>" --output json
This will create a new service principal with "Contributor" role scoped to your subscription. Save the JSON output, because it will be needed to configure the cluster autoscaler deployment in the next step.
Deployment manifests
Cluster autoscaler supports four Kubernetes cluster options on Azure:
- vmss: Autoscale VMSS instances by setting the Azure cloud provider's
vmTypeparameter tovmssor to an empty string. This supports clusters deployed with aks-engine. - standard: Autoscale VMAS instances by setting the Azure cloud provider's
vmTypeparameter tostandard. This supports clusters deployed with aks-engine. - aks: Supports an Azure Kubernetes Service (AKS) cluster.
- DEPRECATED acs: Supports an Azure Container Service (ACS) cluster.
NOTE: only the
vmssoption supports scaling down to zero nodes.
VMSS deployment
Prerequisites:
- Get Azure credentials from the Permissions step above.
- Get the name of the VM scale set associated with the cluster's node pool. You can find this in the Azure Portal or with the
az vmss listcommand.
Make a copy of cluster-autoscaler-vmss.yaml. Fill in the placeholder values for the cluster-autoscaler-azure secret data by base64-encoding each of your Azure credential fields.
- ClientID:
<base64-encoded-client-id> - ClientSecret:
<base64-encoded-client-secret> - ResourceGroup:
<base64-encoded-resource-group> - SubscriptionID:
<base64-encoded-subscription-id> - TenantID:
<base64-encoded-tenant-id>
NOTE: Use a command such as
echo $CLIENT_ID | base64to encode each of the fields above.
In the cluster-autoscaler spec, find the image: field and replace {{ ca_version }} with a specific cluster autoscaler release.
Below that, in the command: section, update the --nodes= arguments to reference your node limits and VMSS name. For example, if node pool "k8s-nodepool-1-vmss" should scale from 1 to 10 nodes:
- --nodes=1:10:k8s-nodepool-1-vmss
or to autoscale multiple VM scale sets:
- --nodes=1:10:k8s-nodepool-1-vmss
- --nodes=1:10:k8s-nodepool-2-vmss
Note that it doesn't mean the number of nodes in nodepool is restricted in the range from 1 to 10. It means when ca is downscaling (upscaling) the nodepool, it will never break the limit of 1 (10). If the current node pool size is lower than the specified minimum or greater than the specified maximum when you enable autoscaling, the autoscaler waits to take effect until a new node is needed in the node pool or until a node can be safely deleted from the node pool.
To allow scaling similar node pools simultaneously, or when using separate node groups per zone and to keep nodes balanced across zones, use the --balance-similar-node-groups flag (default false). Add it to the command section to enable it:
- --balance-similar-node-groups=true
See the FAQ for more details.
Save the updated deployment manifest, then deploy cluster-autoscaler by running:
kubectl create -f cluster-autoscaler-vmss.yaml
To run a cluster autoscaler pod on a master node, the deployment should tolerate the master taint, and nodeSelector should be used to schedule pods. Use cluster-autoscaler-vmss-master.yaml in this case.
To run a cluster autoscaler pod with Azure managed service identity (MSI), use cluster-autoscaler-vmss-msi.yaml instead.
Standard deployment
Prerequisites:
- Get Azure credentials from the Permissions step above.
- Get the name of the initial Azure deployment resource for the cluster. You can find this in the Azure Portal or with the
az deployment listcommand. If there are multiple deployments, get the name of the first one.
Make a copy of cluster-autoscaler-standard-master.yaml. Fill in the placeholder values for the cluster-autoscaler-azure secret data by base64-encoding each of your Azure credential fields.
- ClientID:
<base64-encoded-client-id> - ClientSecret:
<base64-encoded-client-secret> - ResourceGroup:
<base64-encoded-resource-group> - SubscriptionID:
<base64-encoded-subscription-id> - TenantID:
<base64-encoded-tenant-id> - Deployment:
<base64-encoded-azure-initial-deployment-name>
NOTE: Use a command such as
echo $CLIENT_ID | base64to encode each of the fields above.
In the cluster-autoscaler spec, find the image: field and replace {{ ca_version }} with a specific cluster autoscaler release.
Below that, in the command: section, update the --nodes= arguments to reference your node limits and node pool name. For example, if node pool "k8s-nodepool-1" should scale from 1 to 10 nodes:
- --nodes=1:10:k8s-nodepool-1
or to autoscale multiple VM scale sets:
- --nodes=1:10:k8s-nodepool-1
- --nodes=1:10:k8s-nodepool-2
Create the Azure deploy parameters secret cluster-autoscaler-azure-deploy-parameters by running:
kubectl -n kube-system create secret generic cluster-autoscaler-azure-deploy-parameters --from-file=deploy-parameters=./_output/<your-output-path>/azuredeploy.parameters.json
Then deploy cluster-autoscaler by running:
kubectl create -f cluster-autoscaler-standard-master.yaml
To run a cluster autoscaler pod with Azure managed service identity (MSI), use cluster-autoscaler-standard-msi.yaml instead.
WARNING: Cluster autoscaler depends on user-provided deployment parameters to provision new nodes. After upgrading your Kubernetes cluster, cluster autoscaler must also be redeployed with new parameters to prevent provisioning nodes with an old version.
AKS deployment
Autoscaling VM scale sets with AKS is supported for Kubernetes v1.12.4 and later. The option to enable cluster autoscaler is available in the Azure Portal or with the Azure CLI:
az aks create \
--resource-group myResourceGroup \
--name myAKSCluster \
--kubernetes-version 1.13.5 \
--node-count 1 \
--enable-vmss \
--enable-cluster-autoscaler \
--min-count 1 \
--max-count 3
Please see the AKS autoscaler documentation for details.
ACS deployment
Prerequisites:
- Get Azure credentials from the Permissions step above.
- Get the cluster name with the
az acs listcommand. - Get the name of a node pool from the value of the label agentpool
kubectl get nodes --show-labels
Make a copy of cluster-autoscaler-containerservice. Fill in the placeholder values for the cluster-autoscaler-azure secret data by base64-encoding each of your Azure credential fields.
- ClientID:
<base64-encoded-client-id> - ClientSecret:
<base64-encoded-client-secret> - ResourceGroup:
<base64-encoded-resource-group>(Note: ResourceGroup is case-sensitive) - SubscriptionID:
<base64-encoded-subscription-id> - TenantID:
<base64-encoded-tenant-id> - ClusterName:
<base64-encoded-clustername> - NodeResourceGroup:
<base64-encoded-node-resource-group>(Note: node resource group is not resource group and can be obtained in the corresponding label of the nodepool)
NOTE: Use a command such as
echo $CLIENT_ID | base64to encode each of the fields above.
In the cluster-autoscaler spec, find the image: field and replace {{ ca_version }} with a specific cluster autoscaler release.
Below that, in the command: section, update the --nodes= arguments to reference your node limits and node pool name. For example, if node pool "k8s-nodepool-1" should scale from 1 to 10 nodes:
- --nodes=1:10:k8s-nodepool-1
or to autoscale multiple VM scale sets:
- --nodes=1:10:k8s-nodepool-1
- --nodes=1:10:k8s-nodepool-2
Then deploy cluster-autoscaler by running
kubectl create -f cluster-autoscaler-containerservice.yaml