Individual skill

fabric-performance-monitoring

Monitor and optimize Microsoft Fabric capacity, Spark compute, and workload performance. Use when asked to check capacity utilization, diagnose throttling (HTTP 430), monitor Spark VCore consumption, analyze CU usage, review Monitoring Hub jobs, query Fabric REST APIs for capacity health, generate performance reports, tune Spark resource profiles, investigate concurrency limits, or optimize Fabric SKU sizing. Supports PowerShell, T-SQL, and REST API workflows.

skills/fabric-performance-monitoring/SKILL.md

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Last checked: Nov 6, 2026

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Repository stars (not skill ratings): 17
Repository last updated: Jun 7, 2026
License: MIT

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claude Repository topic
claude-skills Repository topic
copilot Repository topic
copilot-skills Repository topic
fabric Repository topic
microsoft-fabric Repository topic
data Derived category
data-databases Derived category

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LICENSE.txtdoc · 11,358 bytes
SKILL.mdcore · 6,093 bytes
references/capacity-health-reference.mddoc · 7,697 bytes
references/cost-analysis-reference.mddoc · 6,371 bytes
scripts/Get-FabricCapacityHealth.ps1runs · 4,009 bytes
scripts/Get-FabricJobHistory.ps1runs · 6,077 bytes
scripts/Get-FabricSparkConcurrency.ps1runs · 5,001 bytes
scripts/New-FabricPerformanceReport.ps1runs · 9,274 bytes
templates/performance-report.sqlasset · 6,371 bytes

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# Microsoft Fabric Performance Monitoring

Toolkit for monitoring, diagnosing, and optimizing Microsoft Fabric capacity and workload performance across Spark, Data Warehouse, Lakehouse, and Pipeline workloads.

## When to Use This Skill

- Checking Fabric capacity utilization or CU consumption
- Diagnosing throttling errors (HTTP 430 / TooManyRequestsForCapacity)
- Monitoring Spark VCore usage and concurrency limits
- Querying Fabric REST APIs for capacity and workspace health
- Generating capacity performance reports
- Tuning Spark resource profiles (readHeavy, writeHeavy, balanced)
- Investigating job failures in the Monitoring Hub
- Analyzing autoscale billing vs capacity-based billing