{"id":12336,"date":"2023-10-12T13:04:13","date_gmt":"2023-10-12T20:04:13","guid":{"rendered":"https:\/\/www.microsoft.com\/insidetrack\/blog\/?p=12336"},"modified":"2023-11-28T16:58:50","modified_gmt":"2023-11-29T00:58:50","slug":"building-a-secure-and-efficient-self-service-application-using-azure-aci-azure-compute-gallery-and-the-microsoft-azure-sdk","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/insidetrack\/blog\/building-a-secure-and-efficient-self-service-application-using-azure-aci-azure-compute-gallery-and-the-microsoft-azure-sdk\/","title":{"rendered":"Building a secure and efficient self-service application using Azure ACI, Azure Compute Gallery, and the Microsoft Azure SDK"},"content":{"rendered":"
Editor\u2019s note: This is the second in an ongoing series on moving our network to the cloud internally at Microsoft.<\/em>\u00a0<\/em><\/p>\n At Microsoft, the Microsoft Digital Employee Experience (MDEE) team\u2014our company IT organization\u2014is using the Azure SDK, Azure Container Instances, and the Azure Compute Gallery to create a platform for deploying our virtual labs into secure, user-defined hub-and-spoke networks in Microsoft Azure. These labs provide isolated environments where our employees can create their own on-demand, scalable virtual machine and network environments for testing and development purposes.<\/p>\n This collection of technologies enables our employees to create virtual lab environments across multiple Azure tenants at scale, using infrastructure as code (IaC) to quickly deploy lab templates using the Azure Compute Gallery.<\/p>\n