From Logs to Insights: Building self-monitoring AI agents with Azure Logic Apps

Enterprise applications generate massive volumes of telemetry data, but extracting actionable insights often requires manual analysis and constant human oversight. In this session, we'll discover how to build autonomous AI agents using new capabilities in Azure Logic Apps Standard that continuously monitor your business applications or Azure SQL performance without human intervention. We'll explore a real-world scenario where multi-agent workflows collaborate to query Application Insights telemetry data using KQL, analyze performance trends, identify regressions, and generate comprehensive reports—all automatically. You'll learn how Logic Apps Agent Loop orchestrates complex reasoning tasks, how multi-agent patterns enable specialized agents to work together, and why this architecture becomes essential as your monitoring needs scale. Whether you're managing enterprise ERP systems, cloud databases or processing complex data pipelines, this session reveals the practical patterns for building intelligent automation that adapts and learns from your environment's signals.