Analyzes Azure resource health, diagnoses performance issues using telemetry, and generates actionable remediation plans.
This skill automates the complex process of troubleshooting Azure infrastructure by integrating with Azure MCP tools and Log Analytics. It identifies resource health states across various services including Web Apps, SQL databases, and Virtual Machines, executing targeted KQL queries to uncover root causes. By streamlining the path from discovery to resolution, it provides a structured remediation report complete with Azure CLI commands, helping developers maintain high availability and resolve incidents faster.
主要功能
01Automated root cause identification and issue classification
02Automated health assessment for diverse Azure resource types
03Integration with Azure MCP best practices for standardized troubleshooting
04Comprehensive remediation reports with prioritized action items
05Deep-dive log analysis using pre-configured KQL queries
062 GitHub stars
使用场景
01Investigating production downtime or performance degradation in Azure App Services
02Analyzing system logs and boot diagnostics for troubleshooting Virtual Machine failures
03Diagnosing failed database connections and query timeouts in SQL or Cosmos DB
