Keynote

Datadog has always been driven by a broader vision of helping teams understand and operate complex systems. In this session, you'll hear from Tim Knudsen, VP Product Management, and Group Product Manager, Jonathan Morin, as they share the latest updates across the Datadog product suite and discuss how that vision continues to shape the platform's evolution and support the next generation of AI-driven applications.

From expanded agentic capabilities and new security and compliance features for global enterprises to improvements in data reliability for AI applications, join us for a first look — live from the heart of the AI industry — at how Datadog helps teams understand and operate complex, distributed environments.

“An ounce of prevention is worth a pound of cure” applies not just to medicine, but also to your SRE teams. When incidents flare up, it always costs more to repair than it does to prevent, but prevention can be hard to justify or predict. Where will it be useful, where will it be wasted time?

Hailey Seats, Global Director of IT Service Management at JLL, uses Datadog MCP, ServiceNow, and other internal data sources to help teams across JLL’s support, SRE and infrastructure org to better predict and avoid problems. More Datadog meant more alerts, which caused some stress at first but led to opportunities for the team to improve their insight into the problems they were encountering. By finding patterns in the issues her team was able to build automation to handle common issues, and train AI models to predict when maintenance or upgrades would be needed.

This session will give you a deeper understanding of how your infrastructure monitoring data can help you avert incidents before they happen.

A feature can pass its tests and still leave one important question unanswered: when something goes wrong in production, will the team have enough information to understand why?

That question has shaped how Tyler Technologies approaches architecture for its Student Transportation products, which support school bus routing, driver workflows, and parent facing arrival information. The team has progressively connected infrastructure monitoring, APM, Database Monitoring, queues, .NET profiling, logs, and RUM so engineers can follow a problem from customer behavior through application services and the underlying infrastructure.

This session will show why the team considers diagnosability before a feature reaches production. You will learn how to identify the telemetry a service needs before launch and build an observability foundation that supports troubleshooting, performance analysis, and emerging AI workflows.