Enhanced Monitoring for Spark High Concurrency Workloads in Microsoft Fabric
We’ve completed a set of improvements to the monitoring experience for Notebooks running in high concurrency mode, whether triggered manually or as part of a pipeline using the high concurrency execution model. These updates provide deeper visibility into Spark applications, improve observability across multiple Notebooks, and enable more efficient debugging and performance tuning. New Enhancements … Continue reading “Enhanced Monitoring for Spark High Concurrency Workloads in Microsoft Fabric”