August 2, 2022 | (4:00 - 5:00 PM ET)

( 1:00 - 2:00 PM PT )

Businesses are moving their applications and data to the cloud because of agility, elasticity, speed of innovation, and cost savings. Meanwhile, SQL Server customers have to deal with upgrade cycles and end of support challenges. At AWS, we provide the most performant and secure infrastructure to run SQL Server workloads, while championing a track record of making it easier and more cost-effective for customers to accelerate migration and modernization projects. In this fireside chat, we will walk through three outcome-driven pathways that AWS designed over the past decade to simplify SQL Server transformation for customers at different cloud adoption stages.

In this episode, we'll talk about:

  • Achieve quick wins and save by lifting and shifting SQL Server workloads to the cloud
  • Offload undifferentiated DBA tasks by leveraging fully-managed database services
  • Accelerate business innovations by refactoring to purpose-built databases

Who should attend?

Technical/IT Decision Makers, IT Finance


  • Adnan Ijaz
    Director of Product Management, Commercial Software Services at AWS

    Adnan leads the product management for the Commercial Software Services group in Amazon EC2, focusing primarily on the Windows and Commercial Linux based workloads. Adnan’s core mission is to build services that help organizations easily migrate and modernize their workloads to AWS. Adnan has been with AWS for 6+ years. Prior to that, he spent 8+ years at Microsoft working in the Microsoft SharePoint, Windows Server, and Azure product groups.


  • Sean Lewis
    Director, Microsoft Workloads on AWS

    Sean has been with Amazon Web Services for nearly 8 years. He’s had the opportunity to build different businesses and teams as AWS has grown and rapidly iterated on behalf of our customers. Sean is currently serving as Director of the Microsoft Workloads on AWS team; their charter is to help customers migrate, optimize and modernize their workloads while striving to earn the trust of customers as they demonstrate how all workloads run best on AWS, including Microsoft.