Mastering Microsoft Workloads on AWS: The Well-Architected Lens Guide
By Braincuber Team
Published on February 5, 2026
Running Microsoft workloads on AWS—like Windows Server, SQL Server, and .NET applications—offers massive scalability benefits but introduces unique challenges. Licensing complexity, Active Directory integration, and "legacy drift" can quickly bloat costs and reduce reliability.
Enter the new AWS Well-Architected Microsoft Workloads Lens. This specialized framework isn't just a checklist; it's a strategic roadmap. In this guide, we'll walk through how "FinTech Solutions Inc." used this Lens to modernize their aging .NET trading platform, saving 30% on licensing while improving uptime.
The 3 Core Pillars of the Lens:
- Modernization: Moving from monolithic .NET Framework to microservices on .NET Core/6+.
- Licensing Optimization: Using tools like OLA to stop over-paying for SQL Server cores.
- Hybrid Identity: Seamlessly extending Active Directory to the cloud.
Scenario: The FinTech Modernization
FinTech Solutions had a classic problem: A critical trading app running on IIS (Windows Server 2016) backed by a clustered SQL Server. It was stable but expensive and hard to update.
Applying the Microsoft Workloads Lens, they focused on two key areas:
1. SQL Optimization
The Lens highlighted their "Always On" cluster was using Enterprise Edition simply for read replicas. By switching to Amazon RDS for SQL Server, they offloaded backup management and right-sized their licensing.
2. .NET Core Porting
Using the Porting Assistant for .NET, they identified that 85% of their code was compatible with Linux-based .NET 6. This allowed them to ditch Windows Server EC2s for lightweight containers.
Step 1: Assessing Your Workload
You can start a review directly in the AWS Console. But for automation lovers, you can also define custom lenses or initiate assessments via the CLI.
# 1. List available lenses to find the ARN for Microsoft Workloads
aws wellarchitected list-lenses --query 'LensSummaries[?LensName==`MicrosoftWorkloads`]'
# 2. Create a workload definition
aws wellarchitected create-workload --workload-name "LegacyTradingApp" --description "FinTech .NET 4.8 Monolith" --review-owner "CloudArchTeam" --environment PRODUCTION --aws-regions us-east-1 --lenses arn:aws:wellarchitected:us-east-1::lens/microsoft-workloads
# 3. Get the improvement plan
aws wellarchitected get-lens-review-report --workload-id --lens-alias microsoft-workloads Accelerating with Agentic AI
The blog emphasizes utilizing AI to speed up this transition. Specifically, Amazon Q Developer can be an "Agent" in your modernization journey.
AI Refactoring Example
You can ask Amazon Q (or other coding agents) to refactor Windows-specific path handling to be cross-platform:
Conclusion
The AWS Well-Architected Microsoft Workloads Lens is the bridge between legacy enterprise constraints and modern cloud agility. Whether you are lifting and shifting or fully refactoring, measuring your workload against these pillars ensures you aren't just running on the cloud—you're optimized for it.
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