As platform scale and system complexities grow, so is the operational burden during outages. This session introduces how an AI Agent can be purpose-built for incident intelligence and self-healing system enablement — supporting Production Engineering, On-Call Dev Engineers, Engineering leaders and Exec Engineering Leadership by automatically generating contextual summaries, analyzing root causes, and offering prescriptive next steps.

Beyond just alerts, this AI Agent serves as a real-time co-pilot that pulls signals from deployments, telemetry, infrastructure, and runtime JVM artifacts like JFR, Heap Dumps, and Thread Dumps, config management, experiments launched and then distills and correlates them to determine the scope and probable cause of the issue thus keeping the MTTR and MTTD low