Datadog Live in London

Couldn't make it to New York? This session brings the most important innovations from DASH 2026 directly to London.

Datadog is putting AI at the centre of how modern organisations observe, secure, and operate their systems. We'll walk through the standout announcements from the DASH 2026 keynote and platform roadmap, from Bits AI SRE and agentic incident response, to LLM Observability, AI Guard, and what that AI-first shift means for your teams right now.

Whether you're navigating hybrid infrastructure complexity, building or monitoring AI applications, or looking to accelerate your Datadog adoption, you'll leave with a clear picture of what's new, why it matters for your organisation and how to drive operational efficiency and competitive advantage.

Legal & General have been on a digital transformation journey, launching a mobile app that is now the UK's number one pension app in the App Store. However, taking a traditional Monday-to-Friday organisation into the constant-availability world of digital apps has required a transformation in how we think about Technology Operations.

Key Takeaways:

• From first launch to 650,000 users: building the operational foundations for always-on
• Service downtime as an opportunity cost: what a retail lens taught us about operational risk in financial services
• What good looks like at scale: the SRE capabilities, governance changes and out-of-hours model

Join Datadog for a hands-on session on how AI is redefining observability for modern engineering teams. Discover Bits AI SRE, an AI-powered teammate built to think like an engineer and operate in real production environments.

In this live demo, you'll see how Bits AI SRE investigates alerts, explores findings, queries telemetry, and integrates seamlessly into existing workflows, powered by Datadog's full-stack observability and advanced AI/ML capabilities.

You'll leave with a practical understanding of how AI agents work within a production observability platform, and a clear view of how your team could put Bits AI SRE to work from day one.

Workshop Level: Beginners & intermediate users — please bring your own laptop.

When production incidents hit, SREs need to triage alerts, correlate signals across services, and pinpoint root causes quickly. In complex microservice architectures, knowing how to move between observability signals efficiently is critical.

In this hands-on workshop, you'll respond to two production incidents on a microservices-based ecommerce platform. You'll investigate using Real User Monitoring (RUM), Session Replay, Application Performance Monitoring (APM), Error Tracking, Infrastructure Monitoring, Log Management, and Metrics. For each incident, you'll isolate the root cause, execute a remediation, and build proactive monitoring. You'll also use Bits AI SRE to see how AI-powered investigation can accelerate your workflow.

By the end of this workshop, you'll have practical experience using Datadog's core observability tools to investigate, resolve, and monitor for real-world production incidents.

Workshop Level: Intermediate & advanced users — please bring your own laptop.

LLM applications are unpredictable by nature—their outputs are never exactly the same. Traditional testing methods and operational metrics are not sufficient to measure output quality, accuracy, or safety in agentic workflows. When you change a prompt, model, or your application's architecture, how do you know if the changes actually made things better?

In this workshop, you'll learn how to use Datadog LLM Observability's Experiments and Evaluations features to systematically measure and improve the quality of your agentic AI applications. Evaluations enable you to measure quality in production, and Experiments help you validate changes offline using real production traces. Together, they enable deliberate, data-driven improvement instead of relying on guesswork or trial and error.