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This article outlines how to improve Azure infrastructure by integrating a Load Balancer and Virtual Machine Scale Sets (VMSS) for high availability. It covers setting up the necessary components, defining infrastructure using Terraform, and implementing autoscaling and security rules.
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The article provides a practical guide on enhancing Azure security and availability using Azure Load Balancer and Virtual Machine Scale Sets (VMSS). After securing an Azure network with Bastion, the author emphasizes the importance of ensuring that users can still access resources during peak demand. The piece outlines a structured approach to setting up infrastructure with Terraform, detailing key components like a public IP, backend pools of Linux VMs, and health probes that monitor VM performance.
To create the Load Balancer, the author walks through the necessary Terraform scripts, from defining a resource group to configuring backend address pools and health probes. These scripts establish a Load Balancer that effectively manages incoming HTTP traffic across multiple VMs, ensuring high availability. Next, the article explains how to set up VMSS, which automatically scales the number of VMs based on CPU usage. A custom data script installs Nginx on each VM, allowing it to serve web requests with a simple HTML response.
The article also dives into autoscaling rules, allowing the infrastructure to adjust dynamically based on demand. It details monitoring metrics like CPU usage and explains the cooldown period to prevent excessive scaling actions. Finally, it introduces Network Security Groups (NSGs) to manage access, including rules for allowing HTTP/HTTPS traffic and essential health probe traffic from the Azure Load Balancer. This comprehensive approach helps maintain a resilient and responsive Azure environment.
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