Measuring what matters in AI applications with Datadog, Google Cloud, and MongoDB

As organizations rapidly scale their AI-driven services, they often face significant scalability challenges. This session will explore how Datadog’s observability platform can serve as a mission control center for navigating unexpected growth, while MongoDB’s flexible schema and scalable architecture play a critical role in managing complex data expansion. Discover how these platforms ensure performance and stability across Google Cloud-hosted LLM services.

By joining this session, you will learn:

• Observability’s supporting role when scaling AI-powered applications
• Building and scaling fast with Google Cloud and MongoDB
• How Datadog’s Database Monitoring can be used to track and troubleshoot MongoDB performance

Giovanni Peralto

Technical Advocate, Datadog

Alisha Stull

Partner Engineer, Google Cloud

Matt Richmond

Partner Solutions Architect, MongoDB