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May 21-22, 2026
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The Sched app allows you to build your schedule, but is not a substitute for your event registration. You must be registered for Observability Summit North America 2026.

Please note: This schedule is automatically displayed in Central Daylight Time (UTC -5). To see the schedule in your preferred timezone, select from the drop-down menu located at the bottom of the menu to the right.

The schedule is subject to change.
Friday May 22, 2026 1:25pm - 1:50pm CDT
The future of observability isn't better dashboards—it's AI agents that reason across metrics, logs, and traces alongside your engineering team.

Engineers spend hours correlating signals across Grafana, Kibana, and Jaeger, mentally stitching together what happened and why. What if an agent could do that correlation automatically?

This session presents a practical architecture for building observability agents that autonomously triage incidents across all three pillars. we'll demonstrate an agent that ingests an alert, queries metrics, searches logs, examines traces, identifies root causes, and recommends remediation—while keeping humans in the loop.

We'll cover:

Why observability is ideal for agentic AI
Agent architecture with LangGraph orchestration
Integration patterns: MCP, REST APIs, and OpenTelemetry
Tool design for metrics, logs, and traces
Live demo: agent triaging a simulated incident
Production considerations: reliability, cost, guardrails
Attendees leave with a working reference architecture built on CNCF ecosystem tools (Prometheus, Jaeger, Loki, Grafana). All code is open source.
Speakers
avatar for Divya Mahajan

Divya Mahajan

Software Engineer, Amazon

Divya Mahajan is a Software Development Engineer at Amazon Alexa, where she builds production-grade Agentic AI and LLM systems at scale. Her work sits at the intersection of conversational AI, agentic automation, and reliable system design, with a focus on accuracy, observability... Read More →
avatar for Achin Gupta

Achin Gupta

Staff Software Engineer, Intuit
Achin Gupta is a Staff Software Engineer with 9 years of experience designing and building production grade distributed observability backends on Kubernetes. He also focuses on AI driven systems, developing LLM powered workflows and multi agent architectures, with an emphasis on observability... Read More →
Friday May 22, 2026 1:25pm - 1:50pm CDT
Level One | Ballroom A
  AI and MCP in Observability

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