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Thursday May 28, 2026 14:45 - 15:15 CEST
Limited Capacity full
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In a modern "RUN" environment, the challenge isn't a lack of data, but the time required to make sense of it. Manually auditing an incident to understand why an alert didn't fire—or identifying recurring patterns across hundreds of tickets—is a tedious process that often takes hours of manual "investigative" work.

At LMFR, we’ve automated these critical tasks using Agentic AI and the Model Context Protocol (MCP). By connecting AI agents directly to our monitoring and ticketing stack (ServiceNow, PagerDuty, Datadog), we have transformed post-incident analysis into a 10-minute automated process.

In this 30-minute demo-driven session, we will deep-dive into two major use cases:

- The Automated Observability Audit: We will demonstrate how an AI agent analyzes a past incident to answer three crucial questions: What was missing to prevent this? What could have detected it faster? How can we strengthen our alerting? The agent cross-references logs and traces to identify the "invisible" gaps in your monitoring strategy, ensuring the same incident doesn't catch you off guard twice.

- Smart Incidentology & Trend Analysis: Moving beyond individual tickets, we’ll show how AI can analyze the entire history of a product to uncover structural flaws. By identifying the most frequent defects and recurring pain points, the agent helps Ops teams move from "Firefighting" to true Problem Management, providing a data-backed list of priorities for the product backlog.
Speakers
avatar for Peter Fontaine

Peter Fontaine

Ext - Leroy Merlin France
Originally a Developer, I transitioned into the world of DevOps and SRE four years ago to bridge the gap between building code and maintaining production. As an AI enthusiast and observability advocate, I am passionate about making the "invisible" visible. My current mission at LMFR... Read More →
avatar for Amaury Pruvot

Amaury Pruvot

Product Manager, Leroy Merlin France

Thursday May 28, 2026 14:45 - 15:15 CEST
3 - LAB 135 Rue Sadi Carnot, Ronchin, France

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