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fabric-udf-perf-remediate

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Diagnose and resolve performance issues with Microsoft Fabric User Data Functions. Use when functions are slow, timing out, returning errors, consuming excessive capacity units, or exhibiting cold start latency. Covers execution timeouts, response size limits, connection bottlenecks, logging analysis, capacity metrics monitoring, invocation diagnostics, Python optimization, and UDF service limit remediate.

skills/fabric-udf-perf-remediate/SKILL.md

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# Microsoft Fabric User Data Functions Performance remediate

Systematic guide for diagnosing and resolving performance issues with Fabric User Data Functions (UDFs). Covers cold starts, execution timeouts, capacity consumption, connection bottlenecks, and Python code optimization.

## When to Use This Skill

- Function invocations are slow or intermittently timing out
- Capacity metrics show unexpected CU consumption from UDF operations
- Functions fail with timeout, response size, or connection errors
- Cold start latency is impacting downstream consumers (Pipelines, Notebooks, Power BI)
- Historical logs show increasing duration trends
- Need to optimize UDF code for better performance within service limits

## Prerequisites