Design principles

Assess your Microsoft environment holistically: Before designing or migrating, assess your current Microsoft workloads with tools like AWS Optimization and Licensing Assessment (OLA), Migration Evaluator, and Application Discovery Service. This foundational step helps define the business case, understand resource utilization, licensing, and technical dependencies.

Define clear business and technical goals: Clarify the expected outcomes of moving or running Microsoft workloads on AWS. Whether you're aiming to reduce licensing costs, improve availability, increase agility, or enhance security, these goals should shape your architecture choices, migration strategy, and operational model.

Use AWS services and managed offerings: Reduce operational burden and complexity by using managed services tailored for Microsoft workloads—such as Amazon RDS for SQL Server, Amazon FSx for Windows File Server, AWS Managed Microsoft AD, and EC2 Image Builder. This improves performance, reliability, and maintainability.

Optimize licensing and cost models: Right-size instances and storage, automate start and stop schedules, and consider BYOL strategies when applicable. Evaluate SQL Server edition needs and instance consolidation opportunities. Use services like AWS Compute Optimizer and Trusted Advisor to continuously refine your resource usage.

Prioritize security aligned with workload criticality: Apply Microsoft and AWS-aligned security controls. Enforce the principle of least privilege, encrypt data at rest, in transit, and in use (for example, using Always Encrypted), and align with your organizational identity strategy. Use centralized logging and SIEM integrations to detect and respond to anomalies.

Design for availability and resilience: Define business-driven availability targets and choose architecture patterns that meet those needs—such as multi-AZ deployments, SQL Server Always On, or Amazon FSx Multi-AZ. Regularly test for failover and disaster recovery capabilities.

Enable operational excellence through automation and observability: Automate infrastructure and patch management with AWS Systems Manager, and use infrastructure as code with AWS CloudFormation or Terraform. Implement robust observability using Amazon CloudWatch, Performance Counters, Application Insights, and AWS X-Ray for deep visibility into system health.

Embrace modernization incrementally: Where feasible, modernize traditional workloads using containers (with ECS, EKS) or serverless solutions (like .NET on AWS Lambda). This unlocks agility, scalability, and cost optimization, while maintaining alignment with existing Microsoft technologies.

Govern through consistency and compliance: Use AWS Control Tower, AWS Organizations, and tagging strategies to enforce adherence, manage accounts, and apply consistent policies across environments. Integrate security baselines and operational controls from day one.

Plan for lifecycle, sustainability, and continuous improvement: Continuously monitor workload performance and cost. Reassess choices as AWS services evolve, license agreements change, or application usage shifts. Define update strategies for OS, SQL Server, and application components for sustainability.