Azure Virtual Machine Scale Sets

Enable automatic scaling of your virtual machines to meet demand.

What are Virtual Machine Scale Sets?

Azure Virtual Machine Scale Sets (VMSS) provide a way to deploy and manage a set of identical, load-balanced virtual machines. They are designed to simplify the deployment and management of a large number of virtual machines. VMSS allows you to create and automatically manage a group of virtual machines, and to scale them up or down based on demand or a defined schedule.

VMSS offers high availability and application resilience by distributing VMs across multiple fault domains and update domains. When you need to increase or decrease the capacity of your application, you can simply scale the VMSS instance count.

Key Features

  • Automatic Scaling: Automatically adjust the number of VM instances based on CPU performance, memory usage, or custom metrics.
  • High Availability: Distribute VM instances across multiple fault domains and update domains to ensure service continuity.
  • Load Balancing: Integrate with Azure Load Balancer or Application Gateway to distribute traffic across VM instances.
  • Orchestration: Manage VM instances as a group, simplifying deployment, updates, and configuration.
  • Customizable Images: Deploy VMSS instances using custom VM images or marketplace images.
  • Health Monitoring: Monitor the health of VM instances and automatically replace unhealthy ones.

Common Use Cases

VMSS are ideal for applications that require:

  • Web Applications: Handle fluctuating web traffic by automatically scaling out during peak hours and scaling in during off-peak times.
  • Batch Processing: Distribute large processing jobs across multiple VM instances for faster completion.
  • APIs and Microservices: Ensure consistent availability and performance for API endpoints.
  • Container Orchestration: Serve as the underlying infrastructure for container orchestration platforms like Kubernetes.

Creating a Virtual Machine Scale Set

You can create a VMSS using various methods:

  • Azure Portal: A user-friendly graphical interface for quick deployment.
  • Azure CLI: Command-line interface for scripting and automation.
  • Azure PowerShell: Another scripting option for Windows environments.
  • ARM Templates / Bicep: Infrastructure as Code for repeatable and consistent deployments.

Here's an example using Azure CLI:

az vmss create \ --resource-group myResourceGroup \ --name myScaleSet \ --image UbuntuLTS \ --instance-count 2 \ --vnet-name myVnet \ --subnet mySubnet \ --public-ip-per-vm \ --upgrade-policy-mode automatic

Managing Your Scale Set

Once created, you can manage your VMSS through the Azure portal or command-line tools. Common management tasks include:

  • Viewing instance status and details.
  • Manually adding or removing instances.
  • Updating VM configurations or images.
  • Configuring scaling rules.
  • Deploying application updates.

Scaling Operations

VMSS offers two primary ways to scale:

  • Manual Scaling: Adjust the instance count directly.
  • Autoscaling: Define rules based on metrics (e.g., CPU percentage, custom metrics) or schedules to automatically adjust the instance count.

Autoscaling ensures your application can dynamically respond to changing loads, optimizing cost and performance.

Networking Considerations

VMSS instances are deployed within a virtual network (VNet) and subnet. They can be integrated with:

  • Azure Load Balancer: Distributes incoming traffic across VM instances.
  • Azure Application Gateway: Provides advanced Layer 7 load balancing, SSL termination, and Web Application Firewall (WAF) capabilities.
  • Network Security Groups (NSGs): Control inbound and outbound traffic to VM instances.

Monitoring VM Scale Sets

Monitor the health and performance of your VMSS using Azure Monitor. Key metrics to track include:

  • CPU utilization
  • Network In/Out
  • Disk Reads/Writes
  • Instance Health status

Configure alerts based on these metrics to proactively respond to performance issues or capacity needs.

Getting Started with Tutorials

Explore these tutorials to learn more: