Azure compute resources that are used to create and manage groups of heterogeneous load-balanced virtual machines.
Start by deploying the scale set with Infrastructure as Code (IaC) using Azure Resource Manager (ARM) templates, Bicep, or Terraform. This ensures consistent, repeatable deployments while allowing you to safely test configuration changes before applying them to production.
Configure autoscaling rules based on metrics such as CPU utilization, memory usage (via Azure Monitor), or queue length to automatically add or remove VM instances as demand changes. Use custom VM images or Azure Compute Gallery images to ensure every new instance is deployed with the required operating system, applications, and configurations.
Automate post-deployment configuration with cloud-init for Linux, PowerShell Desired State Configuration (DSC), Custom Script Extensions, or Azure Machine Configuration. Azure Update Manager can automate operating system patching, while Azure Monitor, Log Analytics, and alerts provide centralized monitoring and operational visibility across all VM instances.
In a sandbox environment, validate scaling policies, rolling upgrades, health probes, load balancing, and failure recovery without affecting production workloads.
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hth
Marcin