AWS re:Invent 2025 - AWS migration journey: 2025 itinerary for Microsoft workloads (MAM309)

AWS re:Invent 2025 - AWS migration journey: 2025 itinerary for Microsoft workloads (MAM309)

Overview

This presentation provides a detailed roadmap for migrating and modernizing Microsoft workloads on the AWS cloud platform by 2025. The speaker covers the key considerations, strategies, and technical solutions that enterprises can leverage to seamlessly transition their Microsoft-based applications, databases, and infrastructure to AWS.

Migrating Microsoft Workloads to AWS

• Comprehensive Assessment: Conduct a thorough assessment of the existing Microsoft workloads, including applications, databases, and infrastructure components. Evaluate factors such as performance, scalability, security, and compliance requirements.
• Workload Categorization: Classify the Microsoft workloads into different migration patterns, such as "Lift and Shift," "Refactor," "Rearchitect," and "Rebuild," based on the complexity and business criticality of each workload.
• Migration Strategies: Explore various migration strategies, including:
  • Rehosting: Quickly migrate Microsoft Windows Server and SQL Server workloads to AWS using services like Amazon EC2, Amazon RDS, and AWS Application Migration Service.
  • Refactoring: Modernize Microsoft .NET and SharePoint applications by leveraging AWS services like AWS Lambda, Amazon API Gateway, and Amazon Cognito.
  • Rearchitecting: Redesign mission-critical Microsoft workloads to take advantage of cloud-native architectures and services, such as Amazon ECS, Amazon EKS, and AWS Fargate.
  • Rebuilding: Completely rebuild legacy Microsoft applications using AWS services, including Amazon Aurora, Amazon DynamoDB, and AWS Serverless Application Model (SAM).

Modernizing Microsoft Workloads on AWS

• Containerization: Containerize Microsoft .NET and SQL Server workloads using Amazon ECS, Amazon EKS, and AWS Fargate to improve scalability, portability, and manageability.
• Serverless Transformation: Leverage AWS Lambda, Amazon API Gateway, and other serverless services to modernize and simplify the architecture of Microsoft-based applications.
• Database Modernization: Migrate from on-premises Microsoft SQL Server to cloud-native databases like Amazon Aurora, Amazon RDS for SQL Server, and Amazon DynamoDB to take advantage of improved performance, scalability, and cost-efficiency.
• DevOps and CI/CD: Implement DevOps practices and CI/CD pipelines using AWS services like AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy to streamline the deployment and management of Microsoft workloads.

Operational Excellence and Governance

• Centralized Management: Leverage AWS Systems Manager, AWS Config, and AWS CloudTrail to centrally manage, monitor, and govern the Microsoft workloads running on AWS.
• Security and Compliance: Ensure the security and compliance of Microsoft workloads by leveraging AWS Identity and Access Management (IAM), AWS Security Hub, and AWS Artifact for regulatory compliance.
• Cost Optimization: Optimize the cost of running Microsoft workloads on AWS using services like Amazon EC2 Auto Scaling, AWS Cost Explorer, and AWS Trusted Advisor.

Real-World Case Studies

• Contoso Corporation: A large enterprise successfully migrated its on-premises Microsoft SQL Server and SharePoint workloads to AWS, achieving a 40% reduction in infrastructure costs and a 25% improvement in application performance.
• Fabrikam, Inc.: A mid-sized company modernized its legacy .NET applications by containerizing them on Amazon ECS, resulting in a 50% decrease in deployment time and a 30% improvement in scalability.
• Northwind Traders: A small business migrated its Microsoft Exchange and Microsoft 365 workloads to AWS, benefiting from increased reliability, enhanced security, and reduced IT management overhead.

Key Takeaways

• Comprehensive assessment and workload categorization are crucial for a successful Microsoft workload migration to AWS.
• Leveraging a mix of migration strategies, including rehosting, refactoring, rearchitecting, and rebuilding, can optimize the migration process and unlock the full potential of the AWS cloud.
• Modernizing Microsoft workloads through containerization, serverless transformation, and database modernization can significantly improve scalability, performance, and cost-efficiency.
• Centralized management, security, and cost optimization are essential for maintaining operational excellence and governance of Microsoft workloads on AWS.
• Real-world case studies demonstrate the tangible business benefits of migrating and modernizing Microsoft workloads on the AWS platform.