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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchYou can reduce disruption when moving legacy VDI workloads to Azure Virtual Desktop (AVD), but you cannot directly convert one VDI control plane into the other. Plan for a controlled rebuild: create new AVD host pools and session hosts, prepare applications and profiles, test each user group, then move users in measured waves. Keep the old service available until each cohort meets its agreed acceptance criteria.
Why this is a rebuild, not a direct VDI conversion
AVD has a Microsoft-managed control plane that differs from traditional VDI platforms. Microsoft’s Cloud Adoption Framework says there is “no direct migration path from other VDI platforms.” That means the destination needs new AVD host pools and session hosts; teams separately migrate or rebuild images, redeploy applications, move or create user profiles, and assess infrastructure dependencies.
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Azure Migrate can help with infrastructure discovery, assessment, and supported migration scenarios. It does not convert the old VDI control plane into an AVD deployment. Treat discovery and migration planning as separate from provisioning the new AVD environment, and verify current Azure Migrate support and implementation steps in Microsoft’s product documentation.
1. Discover users, workloads, and dependencies
Build an inventory before choosing a target design. Microsoft’s “Assess Azure Virtual Desktop” guidance, last updated August 27, 2026, says assessment depends on information about desktops, users, workloads, and profiles. Use existing operational records and discovery tools; third-party discovery can augment the inventory if your organization lacks the necessary detail.
#1 Best Overall
Capture the estate that affects the user experience
- Users and demand: personas, assigned user counts, peak concurrent sessions, work schedules, and locations.
- Desktop needs: pooled or personal use, required customization, performance isolation, and security or compliance constraints.
- Applications and data: application versions, installation and licensing requirements, data locations, authentication, and back-end services.
- Profiles: profile format, size, growth, persistence requirements, permissions, and any data that needs remediation.
- Dependencies: identity and directory services, network flows, printing, peripherals, monitoring, backup, and operational ownership.
Map network paths and test latency from representative user locations to candidate Azure regions and application back ends. A session host can be healthy while a workflow remains unusable because a dependent service is slow or unreachable.
2. Group users into personas and size from evidence
Group users by their actual applications, workload, performance needs, geography, security requirements, and desktop model—not merely by department or total headcount. Use observed peak concurrency rather than assuming every assigned user signs in at once. Decide whether each persona is suitable for pooled desktops or needs a personal desktop, then validate the design against representative workloads.
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Microsoft’s Cloud Adoption Framework gives sizing examples, not universal recommendations: a light-user assumption of 6 users per vCPU, a heavier-density example of 2 users per vCPU, and a performance-sizing example of 4 GB of RAM per vCPU. These are Microsoft examples, not measured guarantees for your estate. Validate host density, memory, application performance, and user experience in a proof of concept.
3. Confirm readiness before scheduling a cohort
Review the Azure landing zone and the services each persona will depend on: required regions, identity, networking, security, monitoring, backup, and operational support. Microsoft’s deployment guidance calls for a proof of concept before first deployment. Use it to test the assumptions that could block a production wave.
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Set proof-of-concept acceptance checks
- Required applications install, launch, authenticate, and complete representative workflows.
- Profiles persist correctly across sign-ins and behave as expected under the intended host-pool model.
- Session density, performance, and latency meet the persona’s requirements.
- Printing, peripherals, and access to back-end services work where required.
- Security controls, monitoring, backup, help-desk procedures, and escalation paths are ready.
Licensing and cost assumptions also need current verification. Microsoft’s planning page is marked deprecated and scheduled for removal on October 30, 2026, so do not treat its licensing statements as current entitlement advice. Confirm AVD eligibility, user licensing, Azure compute and storage costs, and any external-user pricing against current Microsoft material for the exact deployment. Budget compute and storage consumption separately from license entitlement.
4. Build the AVD target for each persona
For each cohort, create the required host pool or pools, desktop or RemoteApp application groups, session-host image, application delivery, and profile solution. Microsoft identifies Azure Files and Azure NetApp Files as profile-hosting options with FSLogix configuration. Choose between them based on the existing architecture and validated requirements for performance, capacity, resilience, permissions, identity integration, operations, backup, and cost; the cited guidance does not name a universal winner.
Rank #4
Resolve application and profile blockers
Check every required application against the target operating system and the pooled or personal model. Some legacy applications may not work on Windows Enterprise multi-session. Depending on the application and persona, the answer may be remediation, a personal pool, or a change to a back-end dependency. Profile data may also need separate remediation or migration. Do not count a persona as ready just because its session-host image builds successfully.
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Microsoft recommends persona-driven iterations to reduce the business impact of change and focus testing and onboarding for each pool. A ready virtual machine is not by itself a reason to move a persona into production. Start with representative pilot users, including users whose applications, locations, profiles, or peripherals make them useful edge cases.
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Define a gate for every wave
- Set entry criteria: specify which applications, profiles, dependencies, and support arrangements must be ready before the cohort can move.
- Agree on tests and success measures: define the workflows, performance expectations, and user feedback that determine acceptance.
- Plan the cutover: choose a window, communicate what users should expect, staff support, and identify who can pause or proceed.
- Move the cohort and validate: test sign-in, profile persistence, application access, and other persona-specific requirements before expanding the rollout.
- Decide whether to proceed: record defects and acceptance results. If the cohort does not meet its criteria, pause and address the issue before moving the next group.
Keep old access available until the new desktop and required applications and data have been validated according to your organization’s policy. Microsoft’s cited guidance supports iterative testing and onboarding, but does not prescribe a universal rollback procedure. Define how users return to the old environment, what data changes must be reconciled, and who authorizes that action based on the source platform and your migration design.
After the pilot, move additional cohorts in small, sequenced iterations. If discovery reveals incompatibility, profile remediation, or back-end latency, revise the affected persona’s plan rather than letting that issue disrupt cohorts that are already ready.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.6. Validate operations and retire legacy components deliberately
For each cohort, record acceptance results and unresolved defects. As a project checklist, validate sign-in, profile persistence, required applications, printing and peripherals where relevant, latency, concurrency, security controls, monitoring, backup, help-desk readiness, and user feedback. Confirm that support teams know how to diagnose the new environment before broadening the rollout.
Retire source components only after dependencies, data-retention requirements, and rollback obligations are satisfied. This avoids removing access or services that a migrated cohort—or another workload—still depends on.
Design decisions to settle before rollout
| Decision | What to compare | What the guidance establishes |
|---|---|---|
| Pooled or personal desktops | Application compatibility, customization, security and compliance, performance isolation, and cost | Microsoft says some incompatible legacy applications may require dedicated desktops. Assess suitability per persona. |
| Azure Files or Azure NetApp Files for profiles | Existing architecture, performance, capacity, resilience, operations, and cost | Microsoft names both as profile-hosting options; the cited deployment guidance does not establish a universal winner. |
| Rebuild an image or migrate and tailor an existing image | Application state, dependencies, supportability, security baseline, and testing effort | Microsoft allows migrating or creating images. Choose after assessment and testing. |
| Move a persona now or remediate first | User impact, application and profile readiness, dependency latency, and remediation effort | Microsoft notes that application or profile remediation can delay a persona. Base the wave decision on its readiness. |
What “without disrupting users” can realistically mean
No migration plan can guarantee zero disruption across every legacy estate. The practical goal is to control exposure: understand each workload, prove the design with representative users, move one persona at a time, keep source access available while the target is validated, and pause when a cohort fails its acceptance gate. The right schedule and rollback details depend on your applications, data, source platform, region, and operating requirements.
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