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AIOps: Leveraging AI for Incident Root Cause Analysis
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AIOps: Leveraging AI for Incident Root Cause Analysis

Tue, April 21 at 11:30 AM - 12:00 PM GMT+5:30OpsTech Architecture

This session focuses on how agentic AI is used within the Jira Service Management (JSM) ITOps product at Atlassian to assist engineers with root cause analysis during production incidents. It examines the role of context engineering in enabling effective RCA, and how service topology graphs and DevOps context graphs, powered by the Teamwork Graph, support this process. The session also shows how the RCA agent combines signals from sources such as Bitbucket or GitHub pull requests, feature flag rollouts, MELT and observability platforms, and knowledge bases to triangulate and identify the root cause. It will also discuss the trade-offs between a multi-agent approach and a skills-based approach for effective agent design.

What You Will Learn

  • How agentic AI supports root cause analysis in production incidents
  • The role of context engineering and graph-based systems in RCA
  • Trade-offs between multi-agent and skills-based approaches for agent design

Who Should Attend

  • Developers
  • Site Reliability Engineers
  • DevOps Engineers
  • Platform Engineers
  • Architects
  • Engineering Managers

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About the speaker

Sathish Kumar

Sathish Kumar

Senior Principal Engineer, Atlassian

Sathish is a Senior Principal Engineer at Atlassian. He is responsible for the architecture of IT Operations management product in Jira Service Management (JSM). His focus areas include Alerts, Incidents, Services and AIOps capabilities in IT Operations product. Sathish was previously Senior Architect at Flipkart, where he was responsible for the architecture of Advertising, Homepage Merchandising, CRM systems that scaled to hundreds of millions of e-commerce users.

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