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Thursday May 28, 2026 09:00 - 09:30 CEST
Limited Capacity full
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What if your best SRE was an AI capable of analyzing millions of signals in seconds?

In this session, I’ll show you how we built a "Home-Made" Incident Investigator to automate root cause analysis from the ground up. By leveraging the Model Context Protocol (MCP) to unify Datadog telemetry, GitHub source code, and ServiceNow tickets, our autonomous agent doesn’t just report issues—it investigates them.

We will dive into how the agent iteratively forms hypotheses, "peeks" into raw logs, and suggests code fixes the moment an alert fires. No more cognitive overload or endless manual digging during high-pressure outages. Come and learn how we are drastically slashing our MTTR (Mean Time To Recovery) by adopting an "Agent-First" approach to production operations.
Speakers
avatar for Quentin Delignon

Quentin Delignon

Lead Software Engineer, ADEO Services
Quentin Deligon (Adeo Services)
Lead Software Engineer in Observability team in Adeo. Innersource and OpenSource enthusiast.
avatar for Sebastien Becker

Sebastien Becker

Project Leader, ADEO Services
I am currently the Observability Lead Engineer at ADEO, but I spent several years 'in the trenches' as an SRE at CCDP. My daily reality involved cross-functional management of critical incidents (P1/P2) in the dead of night.

It was this hands-on experience, combined with the operational fatigue of late-night interventions, that drove me to design and develop Incident Investigator AI. As the lead developer of this tool, my goal is simple: to translate years of manual investigation expertise into an autonomous... Read More →
Thursday May 28, 2026 09:00 - 09:30 CEST
🤖 DATA/AI ARENA 135 Rue Sadi Carnot, Ronchin, France

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