Introducing Azure Virtual Desktop workload in Azure Stack HCI Sizer!
Earlier in February 2024, we announced the general availability of Azure Virtual Desktop for Azure Stack HCI which extends the capabilities of the Microsoft Cloud to your datacenters and edge locations . Today, we are happy to announce that ‘Azure Virtual Desktop’ is now available as a new workload category in Azure Stack HCI sizer! It enables customers to efficiently plan and size Azure Virtual Desktop deployments on Azure Stack HCI by calculating no. of VM required, suggest per VM configuration and what hardware to purchase.
Azure Stack HCI Sizer
Azure Stack HCI Sizer is a web-based comprehensive tool to assist organizations in accurately estimating hardware requirements for their Azure Stack HCI deployments.
Azure Virtual Desktop for Azure Stack HCI
Bringing the benefits of Azure Virtual Desktop and Azure Stack HCI together, Azure Virtual Desktop for Azure Stack HCI lets organizations securely run virtualized desktops and apps on-premises at the edge or in their datacenter. For organizations with data residency requirements, latency-sensitive workloads, or those with data proximity requirements.
Getting Started
The sizer allows you to create multiple projects, thus reflecting your various business needs.
To plan your Azure Virtual Desktop workload on Azure Stack HCI, first go to the sizer tool and create a new project.
Step 1 of the sizer asks you for Environmental preferences that will stay consistent across your projects, for example, Preferred system type, CPU family etc.
Step 1: Set Environmental Preferences
Step 2 of the sizer asks for your workloads. You can now select ‘Azure Virtual Desktop’ as a Workload category when you click on ‘Add workload’.
As soon as you select workload category as ‘Azure Virtual Desktop’, you can now provide information about your environment like:
- Max. concurrency percentage i.e., maximum no. of users who will login concurrently
- Session type i.e. Multi-session or Single session
- Workload type i.e. Light, Medium, Heavy or Power workload.
(Learn more about session host sizing guidelines here)
Optionally, you can also plan a file share to manage user profiles.
Step 2: Add Azure Virtual Desktop Workload
Based on the above input parameters, Azure Virtual Desktop workload will calculate number of virtual machines required and will also minimum recommended VM configuration.
We strongly recommend that each customer to perform stress testing based on the apps required and update per VM configuration as needed.
Add the workload to the project and click on ‘Next’ to see what hardware has been suggested by the sizer based on HCI catalog.
At this stage, you’ve completed all the steps and can check out the results and see what hardware we recommend for your workloads. If you notice anything odd about your results, you can go back and edit your environmental preferences as well as your workloads from the results page. Our suggestion tells you the exact model, number of nodes and node level recommendations that would satisfy your needs. We also include utilization bars for CPU, memory and storage which show you resource consumption and help you understand how we arrived at our recommendation.
Result Page
Conclusion
We are excited for the future of Azure Virtual Desktop for Azure Stack HCI as we keep building and transforming with our customers. We would love to hear your feedback and suggestions on this form.
Thank you!
Published on:
Learn moreRelated posts
Azure Information Protection: Enable multifactor authentication for your Azure tenant by October 1, 2025
Microsoft will enforce multifactor authentication (MFA) for all Azure resource management actions starting October 1, 2025, with a postponemen...
Azure Automation Custom Runtime Environments
A custom runtime environment is a way of defining a specific job execution environment for Azure Automation runbooks, including Microsoft Grap...
Dynamics 365 Customer Insights – Data – Export your data to Azure Data Lake Storage
We are announcing the general availability of the export to Azure Data Lake Storage (ADLS) feature in Dynamics 365 Customer Insights – Data on...
Dynamics 365 Business Central: Quickly find the Tenant ID, Azure AD Instance, and Tenant Scope from the domain (tenant) name without signing in
Hi, Readers.Today I would like to share another mini tip, how to quickly find the Tenant ID, Azure AD Instance, and Tenant Scope from the doma...
Starting Power BI deployment pipelines from Azure DevOps
Deployment pipelines in Power BI/ Microsoft Fabric have become crucial for managing and automating the deployment of Power BI content across e...
Video: Copilot Studio: Azure AI Search Complete Setup Guide
With Azure AI Search you can create a custom search engine of your company’s documents ... The post Video: Copilot Studio: Azure AI Search Com...
Microsoft Purview compliance portal: Endpoint Data Loss Prevention – Endpoint DLP support classification of Azure RMS protected Office documents
Endpoint DLP can now classify Office files stored in Windows devices that have Azure RMS protection applied. Classification will be triggered ...
Introducing Microsoft Azure Face Liveness
AI Builder – Use your own generative AI model from Azure AI Foundry in Prompt builder in Copilot Studio
We are announcing the ability to use your own generative AI model from Azure AI Foundry in prompt builder. This feature has reached general av...