Naveed Ahmed

Modernizing SQL Server workloads to Amazon Aurora PostgreSQL is often slowed by schema conversion complexity and application refactoring. This workshop demonstrates how AWS Transform uses agentic AI to automate the end-to-end modernization journey—from database assessment and schema conversion to infrastructure provisioning and application code transformation. Come and learn by doing through hands-on labs, where traditionally manual, error-prone migration steps become guided, production-ready workflows aligned with AWS best practices—reducing migration risk, minimizing developer effort, and accelerating delivery timelines.

Modernizing SQL Server workloads to Amazon Aurora PostgreSQL is often slowed by schema conversion complexity and application refactoring. This workshop demonstrates how AWS Transform uses agentic AI to automate the end-to-end modernization journey—from database assessment and schema conversion to infrastructure provisioning and application code transformation. Come and learn by doing through hands-on labs, where traditionally manual, error-prone migration steps become guided, production-ready workflows aligned with AWS best practices—reducing migration risk, minimizing developer effort, and accelerating delivery timelines.

How does AI “read” SQL Server execution plans? This session dives into how AI interprets query plans, costs, and operators, where it helps, where it fails, and how DBAs can use it safely for performance tuning.