In this session, we will explore how DevOps practices are enhanced by multi-agent LLM systems to automate and optimize incident triage in cloud environments. Drawing from my work at Microsoft Research, I’ll share how I implemented a multi-agent framework that reduced Mean Time to Mitigation (MTTM) by 35% in large-scale cloud services. By leveraging semantic routing, adaptive SLAs, and context-aware prioritization, we transformed traditional manual workflows into dynamic, AI-powered systems. This session will focus on the intersection of DevOps, incident management, and machine learning, showing how AI-driven automation can streamline cloud reliability operations, enhance system performance, and minimize downtime. Attendees will gain practical insights on how to integrate AI-based solutions into their DevOps pipelines to ensure faster incident resolution and improve overall system scalability and resilience.