Observability and Security for the AI Era
Observability and Security for the AI Era
Datadog has always been driven by a broader vision of helping teams understand and operate complex systems. In this session, you’ll hear from Michael Whetten, Product SVP, and Abrar Hussain, Senior Director, Product Management, 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.
Join us for a first look at how Datadog enables teams to innovate with speed and confidence in highly regulated markets through AI-powered observability and security. Explore expanded agentic capabilities and new security and compliance features designed to help organizations ship safely and scale distributed systems globally.
How to Measure your Most Expensive Milliseconds
How to Measure your Most Expensive Milliseconds
In the fast-paced world of mobile development, reliability rarely fails with a loud crash; instead, it degrades quietly through micro-regressions that erode user trust and engagement. While most companies track backend health and API latency, they often fly blind regarding the actual screen-level responsiveness that defines the true user experience.
When Expedia Group underwent a major technical evolution, the team realized they lacked a consistent baseline to compare performance across platforms, leaving them unable to validate improvements before rollout.
In this session, Divya Gupta Arora (Sr. Engineering Manager) will share how her team extended observability from the backend to the screen level; building platform-specific baselines that protect releases before they scale. She will discuss the technical instrumentation of "interactivity", how Datadog helped, and the cultural shift required to turn performance observability into a core engineering discipline.. By the end of this talk, you will be able to scale systems and people responsibly—using metrics to sharpen direction, protect releases early, and grow engineers without losing delivery pace.