TalksAWS re:Invent 2025 - Modernize SQL Server & .NET Together with AWS Transform's New AI Agent (MAM340)
AWS re:Invent 2025 - Modernize SQL Server & .NET Together with AWS Transform's New AI Agent (MAM340)
AWS re:Invent 2025 - Modernize SQL Server & .NET Together with AWS Transform's New AI Agent (MAM340)
Overview
This presentation from AWS re:Invent 2025 focuses on the latest advancements in modernizing SQL Server and .NET applications on the AWS platform, leveraging the new AI-powered AWS Transform agent. The key highlights include:
Modernizing SQL Server on AWS
Seamless migration of on-premises SQL Server workloads to AWS managed services like Amazon RDS and Amazon Aurora
Automated schema and data migration using the AWS Transform agent's AI-driven capabilities
Optimization of SQL Server performance and scalability on AWS, including support for advanced features like in-memory OLTP
Tight integration with the broader AWS ecosystem for enhanced monitoring, security, and disaster recovery
Modernizing .NET Applications on AWS
Modernizing legacy .NET Framework applications to the latest .NET Core and .NET 6 runtimes
Automated code refactoring and containerization using the AWS Transform agent's AI-powered analysis
Deployment of modernized .NET applications on AWS services like Amazon ECS, Amazon EKS, and AWS Fargate
Leveraging AWS services like AWS Lambda, Amazon API Gateway, and Amazon DynamoDB to build cloud-native .NET microservices
AWS Transform Agent: AI-Driven Modernization
The new AWS Transform agent uses advanced machine learning and natural language processing to analyze application code, databases, and infrastructure
Provides automated recommendations and actions for modernization, including code refactoring, database migration, and container optimization
Learns from past modernization projects to continuously improve its capabilities and provide more accurate and tailored guidance
Seamless integration with the broader AWS ecosystem for a unified modernization experience
Business Benefits
Accelerated migration and modernization of mission-critical SQL Server and .NET applications
Improved performance, scalability, and reliability of modernized applications on AWS
Reduced operational overhead and costs through managed AWS services and automated modernization
Increased agility and innovation by leveraging cloud-native architectures and services
Enhanced security, compliance, and disaster recovery capabilities through the AWS platform
Real-World Examples
A large financial services firm migrated its on-premises SQL Server data warehouse to Amazon Aurora, achieving a 40% reduction in database management costs and a 2x improvement in query performance.
A healthcare provider modernized its legacy .NET Framework applications to .NET Core, containerized them using the AWS Transform agent, and deployed them on Amazon ECS, resulting in a 30% reduction in infrastructure costs and a 50% improvement in application responsiveness.
A retail company used the AWS Transform agent to analyze its monolithic .NET application and automatically refactor it into a microservices architecture, leveraging AWS Lambda and Amazon API Gateway, leading to a 25% reduction in time-to-market for new features.
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