Azure Lab Services Is Retiring: What to Use Instead (and How to Plan Your Migration)

Microsoft has announced that Azure Lab Services will be retired on June 28, 2027. New customer sign-ups have already been disabled as of July 2025, which means the clock is officially ticking for anyone using the service today.

You can read the official announcement on Microsoft Learn here: https://learn.microsoft.com/en-us/azure/lab-services/retirement-guide

While 2027 may feel a long way off, now is the time to take action!

For those of you who have never heard of Azure Lab Services, lets take a look at what it was and how you would have interacted with it (even if you didn’t know you were!).

What is/was Azure Lab Services?

Image: Microsoft Learn

Azure Lab Services allowed you to create labs with infrastructure managed by Azure. The service handles all the infrastructure management, from spinning up virtual machines (VMs) to handling errors and scaling the infrastructure.

If you’ve ever been on a Microsoft course, participated in a Virtual Training Days course, or attended a course run by a Microsoft MCT, Azure Lab Services is what the trainer would have used to facilitate:

  • Classrooms and training environments
  • Hands-on labs for workshops or certifications
  • Short-lived dev/test environments

Azure Lab Services was popular because it abstracted away a lot of complexity around building lab or classroom environments. Its retirement doesn’t mean Microsoft is stepping away from virtual labs—it means the responsibility shifts back to architecture choices based on the requirements you have.

If you or your company is using Azure Lab Services, the transition to a new service is one of those changes where early planning pays off—especially if your labs are tied to academic calendars, training programmes, or fixed budgets.

So what are the alternatives?

Microsoft has outlined several supported paths forward. None are a 1:1 replacement, so the “right” option depends on who your users are and how they work. While these solutions aren’t necessarily education-specific, they support a wide range of education and training scenarios.

Azure Virtual Desktop (AVD)

Image: Microsoft Learn

🔗 https://learn.microsoft.com/azure/virtual-desktop/

AVD is the most flexible option and the closest match for large-scale, shared lab environments. AVD is ideal for providing full desktop and app delivery scenarios and provides the following benefits:

  • Multi-session Windows 10/11, which either Full Desktop or Single App Delivery options
  • Full control over networking, identity, and images. One of the great new features of AVD (still in preview mode) is that you can now use Guest Identities in your AVD environments, which can be really useful for training environments and takes the overhead of user management away.
  • Ideal for training labs with many concurrent users
  • Supports scaling plans to reduce costs outside working hours (check out my blog post on using Scaling Plans in your AVD Environments)

I also wrote a set of blog posts about setting up your AVD environments from scratch which you can find here and here.

Windows 365

🔗 https://learn.microsoft.com/windows-365/

Windows 365 offers a Cloud PC per user, abstracting away most infrastructure concerns. Cloud PC virtual machines are Microsoft Entra ID joined and support centralized end-to-end management using Microsoft Intune. You assign Cloud PC’s by assigning a license to that user in the same way as you would assign Microsoft 365 licences. The benefits of Windows 365 are:

  • Simple to deploy and manage
  • Predictable per-user pricing
  • Well-suited to classrooms or longer-lived learning environments

The trade-off is that there is less flexibility and typically higher cost per user than shared AVD environments, as the Cloud PC’s are dedicated to the users and cannot be shared.

Azure DevTest Labs

Image: Microsoft Learn

🔗 https://learn.microsoft.com/azure/devtest-labs/

A strong option for developer-focused labs, Azure DevTest labs are targeted at enterprise customers. It also has a key difference to the other alternative solutions, its the only one that offers access to Linux VMs as well as Windows VMs.

  • Supports Windows and Linux
  • Built-in auto-shutdown and cost controls
  • Works well for dev/test and experimentation scenarios

Microsoft Dev Box

🔗 https://learn.microsoft.com/dev-box/

Dev Box is aimed squarely at professional developers. It’s ideal for facilitating hands-on learning where training leaders can use Dev Box supported images to create identical virtual machines for trainees. Dev Box virtual machines are Microsoft Entra ID joined and support centralized end-to-end management with Microsoft Intune.

  • High-performance, secure workstations
  • Integrated with developer tools and workflows
  • Excellent for enterprise engineering teams

However, its important to note that as of November 2025, DevBox is being integrated into Windows365. The service is built on top of Windows365, so Micrsoft has decided to unify the offerings. You can read more about this announcement here but as of November 2025, Microsoft are no longer accepting new DevBox customers – https://learn.microsoft.com/en-us/azure/dev-box/dev-box-windows-365-announcement?wt.mc_id=AZ-MVP-5005255

When First-Party Options Aren’t Enough

If you relied heavily on the lab orchestration features of Azure Lab Services (user lifecycle, lab resets, guided experiences), you may want to evaluate partner platforms that build on Azure:

These solutions provide:

  • Purpose-built virtual lab platforms
  • User management and lab automation
  • Training and certification-oriented workflows

They add cost, but also significantly reduce operational complexity.

Comparison: Azure Lab Services Alternatives

Lets take a look at a comparison of each service showing cost, use cases and strengths:

ServiceTypical Cost ModelBest Use CasesKey StrengthWhen 3rd Party Tools Are Needed
Azure Virtual DesktopPay-per-use (compute + storage + licensing)Large classrooms, shared labs, training environmentsMaximum flexibility and scalabilityFor lab orchestration, user lifecycle, guided labs
Windows 365Per-user, per-monthClassrooms, longer-lived learning PCsSimplicity and predictabilityRarely needed
Azure DevTest LabsPay-per-use with cost controlsDev/test, experimentation, mixed OS labsCost governanceFor classroom-style delivery
Microsoft Dev BoxPer-user, per-monthEnterprise developersPerformance and securityNot typical
Partner PlatformsSubscription + Azure consumptionTraining providers, certification labsTurnkey lab experiencesCore dependency

Don’t Forget Hybrid Scenarios

If some labs or dependencies must remain on-premises, you can still modernise your management approach by deploying Azure Virtual Desktop locally and manage using Azure Arc, which will allow you to

  • Apply Azure governance and policies
  • Centralise monitoring and management
  • Transition gradually toward cloud-native designs

Start Planning Now

With several budget cycles between now and June 2027, the smartest move is to:

  1. Inventory existing labs and usage patterns
  2. Map them to the closest-fit replacement
  3. Pilot early with a small group of users

Azure Lab Services isn’t disappearing tomorrow—but waiting until the last minute will almost certainly increase cost, risk, and disruption.

If you treat this as an architectural evolution rather than a forced migration, you’ll end up with a platform that’s more scalable, more secure, and better aligned with how people actually learn and work today.

100 Days of Cloud – Day 44: Azure Arc

Its Day 44 of my 100 Days of Cloud Journey, and today I’m looking at Azure Arc.

Azure Arc is a service that provides you with a single management plane for services that run in Azure, On Premises, or in other Cloud Providers such as AWS or GCP.

The majority of companies have resources both in on-premise and in come cases multiple cloud environments. While monitoring solutions can provide an overview of uptime and performance over a period of time, control and governance of complex hybrid and multi-cloud environments is an issue. Because these environments span multiple cloud and data centers, each of these environments operate their own set of management tools that you need to learn and operate.

Azure Arc solves this problem by allowing you to manage the following resources that are hosted outside of Azure:

  • Servers – both physical and virtual machines running Windows or Linux in both on-premise and 3rd party Cloud providers such as AWS or GCP.
  • Kubernetes clusters – supporting multiple Kubernetes distributions across multiple providers.
  • Azure data services – Azure SQL Managed Instance and PostgreSQL Hyperscale services.
  • SQL Server – enroll SQL instances from any location with SQL Server on Azure Arc-enabled servers.
Azure Arc management control plane diagram
Image Credit: Microsoft

For this post, I’m going to focus on Azure Arc for Servers, however there are a number of articles relating to the 4 different Azure Arc supported resource types listed above – you can find all of the articles here.

Azure Arc currently supports the following Windows and Linux Operating Systems:

  • Windows Server 2012 R2 and later (including Windows Server Core)
  • Ubuntu 16.04 and 18.04 (x64)
  • CentOS Linux 7 (x64)
  • SUSE Linux Enterprise Server (SLES) 15 (x64)
  • Red Hat Enterprise Linux (RHEL) 7 (x64)
  • Amazon Linux 2 (x64)

In order to register a Physical Server or VM with Azure Arc, you need to install the Azure Connected Machine agent on each of the operating systems targeted for Azure Resource Manager-based management. This is an msi installer which is available from the Microsoft Download Center.

You can also generate a script directly from the Azure Portal which can be used on target computers to download the Azure Connected Machine Agent, install it and connect the server/VM into the Azure Region and Resource Group that you specify:

A screenshot of the Generate script page with the Subscription, Resource group, Region, and Operating system fields selected.
Image Credit: Microsoft
A screenshot of the Administrator: Windows PowerShell window with the installation script running. The administrator is entering a security code to confirm their intention to onboard the machine.
Image Credit: Microsoft

The server then gets registered in Azure Arc as a connected machine:

Azure Arc for Servers: Getting started - Microsoft Tech Community
Image Credit: Microsoft

OK, so now we’ve got all of our servers connected into Azure Arc, what can we do with them? Is it just about visibility?

No. When your machine is connected to Azure Arc, you then have the following capabilities:

  • Protect Servers using Microsoft Defender for Endpoint, which is part of Microsoft Defender for Cloud
  • Collect security-related events in Microsoft Sentinel
  • Automate tasks using PowerShell and Python
  • Use Change Tracking and Inventory to assess configuration changes in installed software and operating system changes such as registry or services
  • Manage operating system updates
  • Monitor system performance using Azure Monitor and and collect data which can be stored in a Log Analytics Workspace.
  • Assign policy baselines using Azure Policy to report on compliance of these connected servers.

Conclusion

We can see how useful Azure Arc can be in gaining oversight on all of your resources that are spread across multiple Cloud providers and On Premise environments. You can check out the links provided above for a full list of capabilities, or else this excellent post by Thomas Maurer is a great starting point in your Azure Arc leaning journey.

Hope you enjoyed this post, until next time!