{"active":true,"blog_title":"Enhanced Monitoring for Spark High Concurrency Workloads in Microsoft Fabric","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/enhanced-monitoring-for-spark-high-concurrency-workloads-in-microsoft-fabric/5172618","feature_description":"This feature delivers a comprehensive Notebook Run Lineage experience for Spark applications, enabling data engineers to monitor and analyze complex notebook workflows with ease. It provides an at-a-glance view of all notebook run statuses, helps quickly identify root-cause failures across nested executions, and highlights performance bottlenecks. Users can filter and explore large execution graphs, access detailed error and run-level information, and view aggregated summaries of execution health and resource usage--all in one place.","feature_name":"Track and Manage Notebook Run Dependencies & Linage View","last_modified":"2026-07-27","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q3 2026","release_item_id":"71469140-3550-f111-bec7-6045bd00fc61","release_status":"Planned","release_type":"Public preview"}