fabric-performance-monitoring

What problem does it solve?

Fabric performance monitoring helps operators quickly identify and remediate capacity and Spark performance issues across Fabric workloads, reducing throttling and performance gaps.

Core Features & Use Cases

• Capacity health checks: Retrieve SKU, state, provisioning status, and capacity metrics to guide scaling decisions.
• Spark concurrency and performance diagnostics: Inspect active sessions and queueing to prevent HTTP 430 throttling and optimize resource allocation.
• Reports, remediation workflows, and automation: Provide PowerShell, T-SQL, and REST API workflows to collect data, generate actionable reports, and guide remediation steps.
• Use case: A data platform administrator sizes capacity, reviews KPI trends, and validates the impact of scaling before onboarding a new workload.

Quick Start

Run the New-FabricPerformanceReport.ps1 script to generate a consolidated performance report for the target capacity and workspace.