AIOps: Leveraging AI for Incident Root Cause Analysis - Sathish Kumar

This session explores the application of agentic AI within the Jira Service Management ITOps product at Atlassian, focusing on its role in assisting engineers with root cause analysis during production incidents. The speaker examines context engineering and the use of service topology graphs alongside DevOps context graphs, which are powered by the Teamwork Graph, to enhance the effectiveness of RCA. Additionally, the presentation highlights how the RCA agent synthesizes signals from various sources including Bitbucket and GitHub pull requests, feature flag rollouts, MELT, observability platforms, and knowledge bases to accurately identify root causes. The session also addresses the trade-offs between employing a multi-agent approach versus a skills-based approach in the design of effective AI agents.