Activity Monitoring and Alerting in Fabric

Maintaining visibility into your data systems is critical for ensuring reliable pipelines and accurate analytics. This course introduces you to the core principles of data platform observability using the built-in monitoring tools in Fabric. You will transition from manual troubleshooting to proactive system management. By learning how to track background jobs, analyze system telemetry, and configure automated responses to data events, you will ensure your workflows run smoothly and efficiently. What you will learn: Understand foundational concepts of data platform monitoring and observability; Navigate the Fabric Monitoring Hub to track active, completed, and failed data jobs; Configure Fabric Activator to detect specific patterns and conditions in streaming data; Set up automated alerts and actions to respond immediately to system anomalies; Analyze performance metrics and system health logs to optimize data workflows; Apply best practices for proactive data pipeline management and troubleshooting. The course begins with essential monitoring definitions before guiding you through the practical setup of tracking dashboards and automated trigger systems. You will learn entirely through clear, written explanations, step-by-step conceptual walkthroughs, and text-based scenarios. Designed for absolute beginners, this course requires no prior experience with data engineering or cloud monitoring tools. Start building reliable, self-monitoring data systems today.