azure-diagnostics

Systematic diagnosis and remediation for Azure production issues using AppLens, Monitor, and resource health. 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

INSTALLATION
npx skills add https://github.com/microsoft/azure-skills --skill azure-diagnostics
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

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 App Service issues (high CPU, deployment failures, crashes, slow responses, TLS/custom domains)
  • Respond to prompts like "troubleshoot app service", "app service high CPU", or "app service deployment failure"
  • 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
  • Troubleshoot Azure Messaging SDK issues (Event Hubs, Service Bus connection failures, AMQP errors, message lock issues)

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
  • Route AKS incidents to the dedicated AKS troubleshooting document

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

ServiceCommon IssuesReference
Container AppsImage pull failures, cold starts, health probes, port mismatchescontainer-apps/
App ServiceHigh CPU, deployment failures, crashes, slow responses, TLS/custom domainsapp-service/
Function AppsApp details, invocation failures, timeouts, binding errors, cold starts, missing app settingsfunctions/
AKSCluster access, nodes, kube-system, scheduling, crash loops, ingress, DNS, upgradesAKS Troubleshooting
MessagingEvent Hubs & Service Bus SDK errors, AMQP failures, message lock, connectivityMessaging Troubleshooting

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.

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 <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 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

# Check specific resource health

az resource show --ids RESOURCE_ID

# Check recent activity

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

References

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