azure-diagnostics

name	azure-diagnostics
description	**WORKFLOW SKILL** — Diagnoses Azure production issues with Container Apps, Functions, KQL, and health checks. WHEN: 'debug production', 'container app failure', 'function failure', 'image pull', 'cold start', 'health probe'. EXCLUDES pre-deployment validation and cost analysis.
license	MIT
metadata	{"author":"Microsoft","version":"1.0.2"}

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

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

---

Steps

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/
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 <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

• KQL Query Library
• Azure Resource Graph Queries
• InfraOps KQL Templates — custom Azure Resource Graph and Log Analytics queries
• InfraOps Health Checks — per-resource-type diagnostic commands
• InfraOps Remediation Playbooks — 6-phase diagnostic workflow
• Function Apps Troubleshooting

Reference Index

Load these on demand — do NOT read all at once:

Reference	When to Load
references/azure-resource-graph.md	Azure Resource Graph
references/infraops-health-checks.md	Infraops Health Checks
references/infraops-kql-templates.md	Infraops Kql Templates
references/infraops-remediation-playbooks.md	Infraops Remediation Playbooks
references/kql-queries.md	Kql Queries