Huawei Cloud DWS I/O Overload Diagnosis Skill

Overview

This skill is dedicated to DWS cluster I/O overload root cause diagnosis. When a cluster triggers an I/O usage too high alarm, it automatically collects metric data, analyzes root causes (customer-side / system-side) via a three-stage decision tree, and outputs a standardized diagnosis report.

Architecture: KooCLI (hcloud) → DWS Autopilot API → Cluster monitoring metrics; MCP Server (dws_autopilot) → Fallback channel for the same API

Applicable Scenarios:

• DWS cluster I/O usage too high alarm
• Disk I/O load anomaly investigation
• User-initiated I/O diagnosis request

Typical Use Cases:

• "My DWS cluster I/O usage is very high, help diagnose"
• "Received an I/O alarm, cluster ID is xxx, help analyze the cause"
• "DWS cluster disk util is maxed out, see what's causing it"

Important Rules: All diagnosis conclusions must come from actual tool return results. Fabricating or assuming values is prohibited. Output only contains the diagnosis report; adding remediation suggestions, outputting SQL optimization statements, and using emoji are prohibited.