Keynote

AI is changing everything. At Datadog, our approach is two-fold: empower you with complete observability across your entire stack, including AI as you incorporate it, and harness emergent technologies to make Datadog even more powerful.

Join VP of Product Michael Whetten to see how Datadog is accomplishing these two approaches. He'll share the latest feature updates and new products designed to help you thrive in an AI-powered world. Plus, get a look at our long-term vision for the future of AI and its impact on your work.

It wasn’t long ago that Datadog was a startup—just Olivier, Alexis, and an idea to create something that would eliminate the barriers between development and IT operations teams. Datadog has grown incredibly since then, but we admire and support entrepreneurs who are on their own startup journey. Yashih Wu will share updates to the Datadog for Startups program and how Datadog can support your endeavors.

Self-serve infrastructure on Kubernetes often leads to massive cloud bills from under-utilized systems. Developers, while empowered to provision their own resources, struggle to accurately predict compute and memory needs, resulting in significant waste. Join Glassdoor Staff Software Engineer Srinivasan Ramaraju to learn how Glassdoor tackled this problem. He'll discuss the systems they’ve developed and how they empower developers to right-size their Kubernetes resources based on real needs, allowing the infrastructure team to efficiently manage underlying clusters while development teams maintain agility. You’ll learn how to balance developer autonomy with cost optimization, streamlining workflows and accelerating software delivery while keeping cloud costs in check.

As Kubernetes has become the de facto standard for orchestrating containers, Datadog is committed to providing you with the visibility necessary to ensure your environment is performant, reliable, and secure—from your control plane, to your nodes, to all of the workloads running on top of it. In this session, Senior Product Manager Danny Driscoll, will share the latest Datadog features that help you observe, secure, and take action across your Kubernetes footprint.

Observability tools have traditionally been part of a reactive process—waiting for incidents, then investigating and remediating them. But as AI rapidly advances, so have our AI augmented tools. In this session, Tristan Ratchford, Engineering Manager for the Bits AI SRE team at Datadog, will discuss the evolution of Bits AI SRE tool, share the latest updates, and show how it can proactively improve your reliability.

Managing operational chaos and cognitive load requires a strong data foundation. Join Thiyagarajan Anandan (Sr. Engineering Manager) to learn how his team at UberFreight achieved exactly that. He will share how disciplined tagging standards create a connective tissue of unified context across disconnected telemetry, allowing AI tools to serve as a gateway for users to explore deeper insights in Datadog. Establishing this foundation is the critical first step to unlocking proactive, next-generation AI that can actively improve system reliability.

LLM applications are evolving fast, but without the right evaluations, iteration often feels like guesswork. In this session, Datadog Group Product Manager Shri Subramanian will share why evaluating LLM applications is so challenging, the best practices leading teams rely on to get the best results, and how Datadog LLM Observability's new capabilities makes systematic evaluation and experimentation simple.