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azure-diagnostics

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot container apps, troubleshoot functions, troubleshoot AKS, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors.

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LongLeo287/OmniClaw
ソースの最終更新活動
2026年4月11日 09:08
検出された SKILL.md の言語
英語
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7
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0

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SKILL.md
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name
azure_diagnostics
description
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot container apps, troubleshoot functions, troubleshoot AKS, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors.
license
MIT
metadata
{"author":"Microsoft","version":"1.0.4"}
# 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 - Troubleshoot AKS clusters, nodes, pods, ingress, or Kubernetes networking issues ## Rules 1. Start with systematic diagnosis flow 2. Use AppLens (MCP) for AI-powered diagnostics when available 3. Check resource health before deep-diving into logs 4. Select appropriate troubleshooting guide based on service type 5. Document findings and attempted remediation steps 6. Route AKS incidents to the dedicated AKS troubleshooting document --- ## Quick Diagnosis Flow 1. **Identify symptoms** - What's failing? 2. **Check resource health** - Is Azure healthy? 3. **Review logs** - What do logs show? 4. **Analyze metrics** - Performance patterns? 5. **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/](references/container-apps/README.md) | | **Function Apps** | App details, invocation failures, timeouts, binding errors, cold starts, missing app settings | [functions/](references/functions/README.md) | | **AKS** | Cluster access, nodes, `kube-system`, scheduling, crash loops, ingress, DNS, upgrades | [AKS Troubleshooting](aks-troubleshooting/aks-troubleshooting.md) | --- ## Routing - Keep Container Apps and Function Apps diagnostics in this parent skill. - Route active AKS incidents, AKS-specific intake, evidence gathering, and remediation guidance to [AKS Troubleshooting](aks-troubleshooting/aks-troubleshooting.md). --- ## Quick Reference ### Common Diagnostic Commands ```bash # 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 <resource-name>" command: "diagnose" parameters: resourceId: "<resource-id>" 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 <resource-name>" command: "logs_query" parameters: workspaceId: "<workspace-id>" query: "<KQL-query>" ``` See [kql-queries.md](references/kql-queries.md) for common diagnostic queries. --- ## Check Azure Resource Health ### Using MCP ``` mcp_azure_mcp_resourcehealth intent: "check health status of <resource-name>" command: "get" parameters: resourceId: "<resource-id>" ``` ### Using CLI ```bash # Check specific resource health az resource show --ids RESOURCE_ID # Check recent activity az monitor activity-log list -g RG --max-events 20 ``` --- ## References - [KQL Query Library](references/kql-queries.md) - [Azure Resource Graph Queries](references/azure-resource-graph.md) - [Function Apps Troubleshooting](references/functions/README.md)
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