Debug and troubleshoot production issues on Azure. Covers Container Apps and Function Apps diagnostics, log analysis with KQL, health checks, and common issue resolution for image pulls, cold starts, health probes, and function invocation failures. WHEN: debug production issues, troubleshoot container apps, troubleshoot function apps, troubleshoot Azure Functions, analyze logs with KQL, fix image pull failures, resolve cold start issues, investigate health probe failures, check resource healt...
Scanned 9/7/2026
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---
name: azure-diagnostics
description: "Debug and troubleshoot production issues on Azure. Covers Container Apps and Function Apps diagnostics, log analysis with KQL, health checks, and common issue resolution for image pulls, cold starts, health probes, and function invocation failures. WHEN: debug production issues, troubleshoot container apps, troubleshoot function apps, troubleshoot Azure Functions, analyze logs with KQL, fix image pull failures, resolve cold start issues, investigate health probe failures, check resource health, view application logs, find root cause of errors, function app not working, function invocation failures."
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
---
## 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) |
---
## 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)
- [InfraOps KQL Templates](references/infraops-kql-templates.md) — custom Azure Resource Graph and Log Analytics queries
- [InfraOps Health Checks](references/infraops-health-checks.md) — per-resource-type diagnostic commands
- [InfraOps Remediation Playbooks](references/infraops-remediation-playbooks.md) — 6-phase diagnostic workflow
- [Function Apps Troubleshooting](references/functions/README.md)
## 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 |
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