Individual skill
fabric-rest-api-perf-remediate
Diagnose and resolve Microsoft Fabric REST API performance issues including HTTP 429 throttling, long running operation (LRO) timeouts, pagination bottlenecks, and slow API response times. Use when remediate Fabric API latency, capacity throttling, retry-after handling, operation polling failures, bulk API call optimization, or automating Fabric REST API diagnostics with PowerShell. Covers api.fabric.microsoft.com endpoint performance, Entra ID token acquisition delays, and Fabric capacity SKU rate limits.
skills/fabric-rest-api-perf-remediate/SKILL.md
Source commit cee03dc1199cd2a9765b439fa41930d480e5989d
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- Last checked
- Nov 11, 2026
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- 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
- engineering Derived category
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LICENSE.txtdoc · 11,358 bytesSKILL.mdcore · 8,904 bytesreferences/baseline-expectations.mddoc · 4,947 bytesreferences/fabric-api-scopes.mddoc · 3,481 bytesreferences/lro-patterns.mddoc · 11,039 bytesreferences/throttling-deep-dive.mddoc · 7,263 bytesscripts/Measure-FabricApiBaseline.ps1runs · 6,796 bytesscripts/Measure-FabricLroPolling.ps1runs · 6,440 bytesscripts/Test-FabricApiThrottle.ps1runs · 5,070 bytestemplates/Invoke-FabricPaginatedApi.ps1runs · 6,079 bytes
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# Microsoft Fabric REST API Performance remediate
Structured diagnostic workflows and automation scripts for identifying and resolving performance bottlenecks in Microsoft Fabric REST API integrations.
## When to Use This Skill
- API calls to `api.fabric.microsoft.com` are slow or timing out
- Receiving HTTP 429 (Too Many Requests) responses with Retry-After headers
- Long running operations (LRO) polling is inefficient or stalling
- Paginated API responses are taking too long to enumerate
- Bulk workspace or item operations exceed capacity throttle limits
- Entra ID token acquisition is adding unexpected latency
- Spark job submissions return HTTP 430 (TooManyRequestsForCapacity)
- Need to benchmark Fabric REST API throughput for a given capacity SKU