Create virtual machines from Azure Shared Image Gallery (SIG)
Share
Services
You can now enable specialized images from your shared image gallery (SIG) for lab users to create virtual machines.
There are two operating system states supported by Shared Image Gallery today: generalized and specialized. Generalizing, as the name states, is a process that removes machine and user specific information from the VM. Images that are required to retain machine and account specific information are known as specialized images. For specialized images, SIG users can create image versions without the need for generalization using sysprep (Windows) or deprovision (Linux) from any of the possible sources (VMs, snapshots, managed images).
[Learn more about generalized and specialized images](https://docs.microsoft.com/en-us/azure/virtual-machines/windows/shared-image-galleries#generalized-and-specialized-images)
With this feature, lab owners will be able to white-list specialized images from their attached shared image gallery and enable lab users to create virtual machines from those white-listed specialized images.
[Learn more on configuring a shared image gallery for your lab](https://aka.ms/DTL%5Fsig)
Try this feature today and let us know what you think. If you have an idea, submit your feedback (or vote for others) in the [Azure DevTest Labs feedback forum](https://aka.ms/DTLUserVoice).
Questions? Post them on our [Azure DevTest Labs Forum](https://docs.microsoft.com/en-us/answers/topics/azure-devtestlabs.html).
* Azure DevTest Labs
* Features
* [ Azure DevTest Labs](https://azure.microsoft.com/en-gb/products/devtest-lab/)
What else is happening at Microsoft Azure?
Read update
Services
Share
Generally Available: Storage account default maximum request rate limit increase to 40,000 requests per second
December 12th, 2024
Services
Share
Read update
Services
Share
Generally Available: Regional Disaster Recovery by Azure Backup for AKS
November 22nd, 2024
Services
Share
Generally Available: Enhancements on Azure Container Storage for performance, scalability, and operational insights
November 19th, 2024
Services
Share