azure-diagnostics

Systematic diagnosis and remediation for Azure production issues using AppLens, Monitor, and resource health. 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. - Covers Container Apps, Function Apps, and AKS troubleshooting with service-specific guides for image pulls, cold starts, health probes, invocation failures, and node/pod issues - Integrates AppLens (MCP) for AI-powered root cause analysis and Azure Monitor (MCP) for KQL-based log and metric queries - Provides a five-step diagnostic flow: identify symptoms, check resource health, review logs, analyze metrics, and investigate recent changes - Includes quick reference commands for activity logs, container logs, and App Insights queries, plus routing guidance for AKS-specific incidents - 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 App Service issues (high CPU,...