Optimizing Azure Virtual Machines with the Well-Architected Framework
Azure Virtual Machines are an integral part of cloud computing that when deployed effectively can provide a secure, scalable, fault-tolerant, and cost-effective way to rapidly deploy and manage your infrastructure on Azure – all without the up-front expense and challenge of purchasing and managing physical hardware on your own. Azure also supports Virtual Machine Scale Sets, which adds additional flexibility by allowing your infrastructure to dynamically scale based on demand while increasing resiliency in an intelligent and cost-effective manner.
The Microsoft Azure Well-Architected Framework provides guiding tenets designed to assist you in achieving architectural excellence on Azure. The five pillars of a Well-Architected Framework are: cost management, operational excellence, performance efficiency, reliability, and security. These pillars serve to guide you towards consistently employing best practices on Azure. By adhering to the five pillars, it gives you peace of mind that you are making the best decisions for your unique workload.
Today I would like to introduce the Azure Well-Architected Framework review for Virtual Machines. This review gives a comprehensive overview of the five pillars of the Well-Architected Framework as they pertain to Virtual Machines. If you already have existing infrastructure on Azure, you can use recommendations from the guide to identify opportunities for ongoing improvement.
As you continue to work on your infrastructure, be sure to also leverage Azure Advisor. You can think of Azure Advisor as your personal cloud consultant who assists in identifying and prioritizing actionable suggestions that can be taken on your specific deployment to optimize your resources Azure Advisor provides feedback via the Azure dashboard based on analyzing configuration and usage telemetry collected directly from your resources.
With the Well-Architected Framework review for Virtual Machines and Azure Advisor you can be confident that your deployment is optimal as you continue your journey in cloud computing.
Author Bio
Jason Bouska is a Senior Software Engineer at Microsoft with over 20 years of industry experience. He is passionate about working with data at scale and also has experience as a Database Architect and Administrator.
Published on:
Learn moreRelated posts
Azure Toolkit for IntelliJ: Introducing the enhanced Java Code Quality Analyzer!
Discover the latest updates to the Azure Toolkit for IntelliJ, featuring an enhanced Java Code Quality Analyzer to help you write cleaner, saf...
Azure Boards + GitHub: Recent Updates
Over the past several months, we’ve delivered a series of improvements to the Azure Boards + GitHub integration. Whether you’re tracking...
Introducing the Azure MCP Server
This post introduces the Azure MCP Server, bringing the power of the cloud to your AI agents. The post Introducing the Azure MCP Server appear...
Azure OpenAI Service now authorized for all U.S. Government data classification levels
In the coming years, artificial intelligence will continue to be foundational to technical innovations for national security missions. Already...
GPT-4.1 is now available at Azure AI Foundry
Azure AI Foundry and AOAI (Azure OpenAI Services) keeps on getting better all the time! The latest addition in Azure AI Foundry (as of April 1...
Introducing Region Selection in Azure Cosmos DB Data Explorer for NoSQL Accounts
You asked—we delivered! Users can now manually select the region Data Explorer sends requests to! When you use Entra Authentication with NoSQL...
Microsoft Attempts to Fix Microsoft Graph PowerShell SDK Problem with Azure Automation
V2.26 and V2.26.1 of the Microsoft Graph PowerShell SDK were low-quality, buggy disasters. Microsoft aims to fix the problem in the next versi...