As organisations rapidly scale their AI-driven services, they often face significant scalability challenges. This session will explore how MongoDB's flexible schema and scalable architecture help manage complex data expansion as AI applications grow, how Google ADK integrations streamline building agentic applications on Google Cloud, and how Datadog's observability platform acts as a mission control center for navigating unexpected growth. Discover how these platforms work together to ensure performance and stability across Google Cloud-hosted LLM services.

By joining this session, you will learn:

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

Speakers:

• Jinu VM, Advisory Solutions Architect, MongoDB
• Ben Sunderland, Senior Enterprise Sales Engineer, Datadog
• Jon Pawlowski, Partner Engineer, Google Cloud