Individual skill
fabric-rti-perf-remediate
Diagnose and resolve performance issues in Microsoft Fabric Real-Time Intelligence including Eventhouse, KQL databases, Eventstream, and ingestion pipelines. Use when asked to troubleshoot slow KQL queries, high Eventhouse CPU or memory, ingestion latency or failures, Eventstream throughput problems, capacity throttling (HTTP 430), cache policy tuning, materialized view lag, or Always-On configuration. Covers workspace monitoring, Fabric Capacity Metrics app, query optimization, and streaming diagnostics.
skills/fabric-rti-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 · 5,835 bytesSKILL.mdcore · 5,835 bytesreferences/capacity-and-sizing.mddoc · 6,651 bytesreferences/ingestion-troubleshooting.mddoc · 6,926 bytesreferences/kql-optimization.mddoc · 7,485 bytesreferences/workspace-monitoring.mddoc · 4,330 bytesscripts/Invoke-RTIDiagnostics.ps1runs · 8,241 bytesscripts/diagnose-capacity.kqlasset · 6,286 bytesscripts/diagnose-ingestion.kqlasset · 5,530 bytesscripts/diagnose-slow-queries.kqlasset · 4,974 bytestemplates/health-check-report.mddoc · 2,502 bytes
Read excerpt
# Fabric Real-Time Intelligence Performance remediate
Systematic toolkit for diagnosing and resolving performance issues across the Microsoft Fabric Real-Time Intelligence stack: Eventhouse, KQL databases, Eventstream, ingestion pipelines, and capacity management.
## When to Use This Skill
- Eventhouse queries running slowly or timing out
- Ingestion latency or failures into KQL databases
- Eventstream throughput bottlenecks or backlog growth
- Capacity throttling errors (HTTP 430, TooManyRequestsForCapacity)
- High CPU, memory, or cache utilization on Eventhouse
- Materialized view lag or freshness issues
- Always-On and minimum consumption sizing decisions
- Workspace monitoring setup and dashboard interpretation
- KQL query optimization for Real-Time Intelligence workloads