azure-diagnostics

Original：🇺🇸 English

Translated

Debug and troubleshoot production issues on Azure. Covers Container Apps diagnostics, log analysis with KQL, health checks, and common issue resolution for image pulls, cold starts, and health probes. USE FOR: debug production issues, troubleshoot container apps, 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 DO NOT USE FOR: deploying applications (use azure-deploy), creating new resources (use azure-prepare), setting up monitoring (use azure-observability), cost optimization (use azure-cost-optimization)

140.9kinstalls

Sourcemicrosoft/github-copilot-for-azure

Added on2026-02-10

NPX Install

npx skill4agent add microsoft/github-copilot-for-azure azure-diagnostics

SKILL.md Content

View Translation Comparison →

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

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

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

Service	Common Issues	Reference
Container Apps	Image pull failures, cold starts, health probes, port mismatches	container-apps/

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

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