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. Triggers Activate this skill when user wants to: 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 Rules 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 Quick Diagnosis Flow 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? Troubleshooting Guides by Service Service Common Issues Reference Container Apps Image pull failures, cold starts, health probes, port mismatches container-apps/ Function Apps App details, invocation failures, timeouts, binding errors, cold starts, missing app settings functions/ Quick Reference Common Diagnostic Commands

Check resource health

az resource show --ids RESOURCE_ID

View activity log

az monitor activity-log list -g RG --max-events 20

Container Apps logs

az containerapp logs show --name APP -g RG --follow

Function App logs (query App Insights traces)

az monitor app-insights query --apps APP-INSIGHTS -g RG \ --analytics-query "traces | where timestamp > ago(1h) | order by timestamp desc | take 50" AppLens (MCP Tools) For AI-powered diagnostics, use: mcp_azure_mcp_applens intent: "diagnose issues with " command: "diagnose" parameters: resourceId: "" Provides: - Automated issue detection - Root cause analysis - Remediation recommendations Azure Monitor (MCP Tools) For querying logs and metrics: mcp_azure_mcp_monitor intent: "query logs for " command: "logs_query" parameters: workspaceId: "" query: "" See kql-queries.md for common diagnostic queries. Check Azure Resource Health Using MCP mcp_azure_mcp_resourcehealth intent: "check health status of " command: "get" parameters: resourceId: "" Using CLI

Check specific resource health