What are virtual machine scale sets in Azure?

Virtual machine scale sets are an Azure compute resource that you can use to deploy and manage a set of identical VMs. With all VMs configured the same, scale sets are designed to support true autoscale, and no pre-provisioning of VMs is required. So it's easier to build large-scale services that target big compute, large data, and containerized workloads.

For applications that need to scale compute resources out and in, scale operations are implicitly balanced across fault and update domains. For a further introduction to scale sets, refer to the Azure blog announcement.

For more information about scale sets, watch these videos:

Creating and managing scale sets

You can create a scale set in the Azure portal by selecting Create a resource and typing scale in the search bar. Virtual machine scale set is listed in the results. From there, you can fill in the required fields to customize and deploy your scale set. You also have options to set up basic autoscale rules based on CPU usage in the portal. To manage your scale set, you can use the Azure portal, Azure PowerShell cmdlets, or the Azure CLI 2.0.

Scale sets can be deployed across availability zones.

You can define and deploy scale sets by using JSON templates and REST APIs, just like individual Azure Resource Manager VMs. Therefore, you can use any standard Azure Resource Manager deployment methods. For more information about templates, see Authoring Azure Resource Manager templates.

You can find a set of example templates for virtual machine scale sets in the Azure Quickstart templates GitHub repository. (Look for templates with vmss in the title.)

For the Quickstart template examples, a "Deploy to Azure" button in the readme for each template links to the portal deployment feature. To deploy the scale set, click the button and then fill in any parameters that are required in the portal.


To maintain consistent application performance, you can automatically increase or decrease the number of VM instances in your scale set. This autoscale ability reduces the management overhead to monitor and tune your scale set as customer demand changes over time. You define rules based on performance metrics, application response, or a fixed schedule, and your scale set autoscales as needed.

For basic autoscale rules, you can use host-based performance metrics such as CPU usage or disk I/O. These host-based metrics are available automatically, with no additional agents or extensions to install and configure. Autoscale rules that use host-based metrics can be created with one of the following tools:

To use more granular performance metrics, you can install and configure the Azure diagnostic extension on VM instances in your scale set. The Azure diagnostic extension allows you to collect additional performance metrics, such as memory consumption, from inside of each VM instance. These performance metrics are streamed to an Azure storage account, and you create autoscale rules to consume this data. For more information, see the articles for how to enable the Azure diagnostics extension on a Linux VM or Windows VM.

To monitor the application performance itself, you can install and configure a small instrumentation package in to your application for App Insights. Detailed performance metrics for the application response time or number of sessions can then be streamed back from your app. You can then create autoscale rules with defined thresholds for the application-level performance itself. For more information about App Insights, see What is Application Insights.

Manually scaling a scale set out and in

You can manually change the capacity of a scale set in the Azure portal by clicking the Scaling section under Settings.

To change scale set capacity on the command line, use the scale command in Azure CLI. For example, use this command to set a scale set to a capacity of 10 VMs:

az vmss scale -g resourcegroupname -n scalesetname --new-capacity 10 

To set the number of VMs in a scale set by using PowerShell, use the Update-AzureRmVmss command:

$vmss = Get-AzureRmVmss -ResourceGroupName resourcegroupname -VMScaleSetName scalesetname  
$vmss.Sku.Capacity = 10
Update-AzureRmVmss -ResourceGroupName resourcegroupname -Name scalesetname -VirtualMachineScaleSet $vmss

To increase or decrease the number of virtual machines in a scale set by using an Azure Resource Manager template, change the capacity property and redeploy the template. This simplicity makes it easy to integrate scale sets with Azure Autoscale, or to write your own custom scaling layer if you need to define custom scale events that Azure Autoscale does not support.

If you are redeploying an Azure Resource Manager template to change the capacity, you can define a much smaller template that includes only the SKU property packet with the updated capacity. Here's an example.

Monitoring your scale set

The Azure portal lists scale sets and shows their properties. The portal also supports management operations. You can perform management operations on both scale sets and individual VMs within a scale set. The portal also provides a customizable resource usage graph.

If you need to see or edit the underlying JSON definition of an Azure resource, you can also use Azure Resource Explorer. Scale sets are a resource under the Microsoft.Compute Azure resource provider. From this site, you can see them by expanding the following links:

Subscriptions > your subscription > resourceGroups > providers > Microsoft.Compute > virtualMachineScaleSets > your scale set > etc.

Scale set scenarios

This section lists some typical scale set scenarios. Some higher-level Azure services (like Batch, Service Fabric, and Container Service) use these scenarios.

  • Use RDP or SSH to connect to scale set instances: A scale set is created inside a virtual network, and individual VMs in the scale set are not allocated public IP addresses by default. This policy avoids the expense and management overhead of allocating separate public IP addresses to all the nodes in your compute grid. If you do need direct external connections to scale set VMs, you can configure a scale set to automatically assign public IP addresses to new VMs. Alternatively you can connect to VMs from other resources in your virtual network that can be allocated public IP addresses, for example, load balancers and standalone virtual machines.
  • Connect to VMs by using NAT rules: You can create a public IP address, assign it to a load balancer, and define an inbound NAT pool. These actions map ports on the IP address to a port on a VM in the scale set. For example:

    Source Source port Destination Destination port
    Public IP Port 50000 vmss_0 Port 22
    Public IP Port 50001 vmss_1 Port 22
    Public IP Port 50002 vmss_2 Port 22

    In this example, NAT rules are defined to enable an SSH connection to every VM in a scale set, by using a single public IP address.

    This example does the same with RDP and Windows.

  • Connect to VMs by using a "jumpbox": If you create a scale set and a standalone VM in the same virtual network, the standalone VM and the scale set VM can connect to one another by using their internal IP addresses, as defined by the virtual network or subnet. If you create a public IP address and assign it to the standalone VM, you can use RDP or SSH to connect to the standalone VM. You can then connect from that machine to your scale set instances. You might notice at this point that a simple scale set is inherently more secure than a simple standalone VM with a public IP address in its default configuration.

    For example, this template deploys a simple scale set with a standalone VM.

  • Load balancing to scale set instances: If you want to deliver work to a compute cluster of VMs by using a round-robin approach, you can configure an Azure load balancer with layer-4 load-balancing rules accordingly. You can define probes to verify that your application is running by pinging ports with a specified protocol, interval, and request path. Azure Application Gateway also supports scale sets, along with layer-7 and more sophisticated load-balancing scenarios.

    This example creates a scale set that runs Apache web servers, and it uses a load balancer to balance the load that each VM receives. (Look at the Microsoft.Network/loadBalancers resource type and networkProfile and extensionProfile in virtualMachineScaleSet.)

    This Linux example and this Windows example use Application Gateway.

  • Deploying a scale set as a compute cluster in a PaaS cluster manager: Scale sets are sometimes described as a next-generation worker role. Though a valid description, it does run the risk of confusing scale set features with Azure Cloud Services features. In a sense, scale sets provide a true worker role or worker resource. They are a generalized compute resource that is platform/runtime independent, is customizable, and integrates into Azure Resource Manager IaaS.

    A Cloud Services worker role is limited in terms of platform/runtime support (Windows platform images only). But it also includes services such as VIP swap, configurable upgrade settings, and runtime/app deployment-specific settings. These services are not yet available in scale sets, or they're delivered by other higher-level PaaS services like Azure Service Fabric. You can look at scale sets as an infrastructure that supports PaaS. PaaS solutions like Service Fabric build on this infrastructure.

    In this example of this approach, Azure Container Service deploys a cluster based on scale sets with a container orchestrator.

Scale set performance and scale guidance

  • A scale set supports up to 1,000 VMs. If you create and upload your own custom VM images, the limit is 300. For considerations in using large scale sets, see Working with large virtual machine scale sets.
  • You do not have to pre-create Azure storage accounts to use scale sets. Scale sets support Azure managed disks, which negate performance concerns about the number of disks per storage account. For more information, see Azure virtual machine scale sets and managed disks.
  • Consider using Azure Premium Storage instead of Azure Storage for faster, more predictable VM provisioning times, and improved I/O performance.
  • The vCPU quota in the region in which you are deploying limits the number of VMs you can create. You might need to contact Customer Support to increase your compute quota limit, even if you have a high limit of vCPUs for use with Azure Cloud Services today. To query your quota, run this Azure CLI command: az vm list-usage. Or, run this PowerShell command: Get-AzureRmVMUsage.

Frequently asked questions for scale sets

Q. How many VMs can I have in a scale set?

A. A scale set can have 0 to 1,000 VMs based on platform images, or 0 to 300 VMs based on custom images.

Q. Are data disks supported within scale sets?

A. Yes. A scale set can define an attached data disks configuration that applies to all VMs in the set. For more information, see Azure scale sets and attached data disks. Other options for storing data include:

  • Azure files (SMB shared drives)
  • OS drive
  • Temp drive (local, not backed by Azure Storage)
  • Azure data service (for example, Azure tables, Azure blobs)
  • External data service (for example, remote database)

Q. Which Azure regions support scale sets?

A. All regions support scale sets.

Q. How do I create a scale set by using a custom image?

A. Create a managed disk based on your custom image VHD and reference it in your scale set template. Here's an example.

Q. If I reduce my scale set capacity from 20 to 15, which VMs are removed?

A. Virtual machines are removed from the scale set evenly across update domains and fault domains to maximize availability. VMs with the highest IDs are removed first.

Q. What if I then increase the capacity from 15 to 18?

A. If you increase capacity to 18, then 3 new VMs are created. Each time, the VM instance ID is incremented from the previous highest value (for example, 20, 21, 22). VMs are balanced across fault domains and update domains.

Q. When I'm using multiple extensions in a scale set, can I enforce an execution sequence?

A. Not directly, but for the customScript extension, your script can wait for another extension to finish. You can get additional guidance on extension sequencing in the blog post Extension Sequencing in Azure virtual machine scale sets.

Q. Do scale sets work with Azure availability sets?

A. Yes. A scale set is an implicit availability set with five fault domains and five update domains. Scale sets of more than 100 VMs span multiple placement groups, which are equivalent to multiple availability sets. For more information about placement groups, see Working with large virtual machine scale sets. An availability set of VMs can exist in the same virtual network as a scale set of VMs. A common configuration is to put control node VMs (which often require unique configuration) in an availability set and put data nodes in the scale set.

You can find more answers to questions about scale sets in the Azure virtual machine scale sets FAQ.