azure-diagnostics

AUTHORITATIVE GUIDANCE — MANDATORY COMPLIANCE This document is the official source for debugging and troubleshooting Azure production issues. Follow these instructions to diagnose and resolve common Azure service problems systematically. Activate this skill when user wants to: For AI-powered diagnostics, use: For querying logs and metrics: See kql-queries.md for common diagnostic queries. - Debug or troubleshoot production issues - Diagnose errors in Azure services - Analyze application logs or metrics - Fix image pull, cold start, or health probe issues - Investigate why Azure resources are failing - Find root cause of application errors - Troubleshoot Azure Function Apps (invocation failures, timeouts, binding errors) - Find the App Insights or Log Analytics workspace linked to a Function App - Start with systematic diagnosis flow - Use AppLens (MCP) for AI-powered diagnostics when available - Check resource health before deep-diving into logs - Select appropriate troubleshooting guide based on service type - Document findings and attempted remediation steps - Identify symptoms - What's failing? - Check resource health - Is Azure healthy? - Review logs - What do logs show? - Analyze metrics - Performance patterns? - Investigate recent changes - What changed?