Azure's auto-scaling feature is quite flexible and can be configured in multiple ways. Depending on your application's needs and supported services, you can choose from different auto-scaling options such as scale sets, virtual machine scale sets, or Azure App Service's auto-scale capabilities. These options allow you to scale horizontally by adding more instances or vertically by increasing the size of the instances. Additionally, Azure also provides integration with Azure Monitor, which allows you to set up custom metrics and alerts for triggering scaling actions. Overall, auto-scaling in Azure is a powerful tool to handle varying workload demands efficiently and ensures an optimal balance between performance and cost.

Auto-scaling in Azure refers to the ability to dynamically adjust the number of resources allocated to your application based on changes in demand. This feature allows your application to automatically scale up or down, ensuring optimal performance and resource utilization. By setting up rules and thresholds, Azure can monitor various metrics such as CPU usage or request count and trigger scaling actions accordingly. For example, if the CPU usage exceeds a certain threshold, Azure can automatically provision additional instances of your application to handle the increased load. Conversely, when the demand decreases, Azure can scale down the resources to avoid unnecessary costs. Auto-scaling helps maintain high availability and efficient resource allocation in Azure.