How Formula 1 automated SQL Server Database Ops & Health Checks using AI Agents on AWS

On-demand Webcast Abstract

Formula 1® (F1) races are high-stakes affairs, where operational efficiency is paramount. During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including car telemetry and products such as F1 TV, which offer live and on-demand coverage of every race as well as real-time telemetry.

In this session, we show you how F1 created a purpose-built root cause analysis (RCA) assistant to empower users such as operations engineers, software developers, and network engineers to troubleshoot issues, narrow down on the root cause, and significantly reduce the manual intervention required to fix recurrent issues during and after live events.

Things you’ll get out of this session

• Understand how F1 built a purpose-built RCA assistant, to triage live race incidents at speed.
• Learn how to reduce manual intervention in recurrent operational issues, using AI-driven root cause analysis agents.
• Discover how to empower cross-functional teams — ops, dev, and network engineers — to troubleshoot faster during high-pressure live events.

Speakers

Carlos Contreras is a Senior Big Data and Generative AI Architect, at Amazon Web Services. Carlos specializes in designing and developing scalable prototypes for customers, to solve their most complex business challenges, implementing RAG and Agentic solutions with Distributed Data Processing techniques.

Sudhir Amin is a Database Specialist Solutions Architect at Amazon Web Services. In his role based out of New York, he provides architectural guidance and technical assistance to enterprise customers across different industry verticals, accelerating their cloud adoption.

Paola Lorusso is a Senior Manager leading the Data Specialist Solutions Architecture team for EMEA at Amazon Web Services, based in Milan, Italy. In this role, she leads a team of specialist solution architects helping customers across Europe, the Middle East, and Africa design and implement modern data strategies spanning the full AWS data stack — from databases (Amazon DynamoDB, Aurora, RDS) to analytics (Amazon Redshift, Athena, OpenSearch) and AI/ML-powered data solutions. With deep expertise in guiding enterprises through complex data transformations, Paola and her team work with customers of all sizes to modernize legacy data estates, build scalable data platforms, and unlock business value from their data. She is particularly focused on helping customers embrace innovative solutions powered by AI — enabling them to integrate generative AI and machine learning into their data architectures to drive new levels of automation, insight, and competitive advantage.

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