> azure-monitor
Expert knowledge for Azure Monitor development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working with Log Analytics workspaces, Application Insights, VM/Container insights, AKS/Prometheus, or OpenTelemetry, and other Azure Monitor related development tasks. Not for Azure Managed Grafana (use azure-managed-grafana), Azure Network Watcher (use azure-n
curl "https://skillshub.wtf/MicrosoftDocs/Agent-Skills/azure-monitor?format=md"Azure Monitor Skill
This skill provides expert guidance for Azure Monitor. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Location | Description |
|---|---|---|
| Troubleshooting | L37-L87 | Diagnosing and fixing Azure Monitor issues: agent/extension problems, data collection and ingestion failures, alerts and metrics errors, Application Insights and Container insights troubleshooting. |
| Best Practices | L88-L130 | Best practices for Azure Monitor configuration, queries, costs, alerts, autoscale, AKS/VM monitoring, Prometheus/OTel, workbooks, and migrating legacy agents/logs for reliable observability. |
| Decision Making | L131-L162 | Guidance for planning and deciding Azure Monitor migrations, alert types, cost/usage optimization, data export options, and moving from legacy/third‑party monitoring tools to Azure Monitor |
| Architecture & Design Patterns | L163-L170 | Designing Azure Monitor architectures: enterprise-wide layouts, Private Link network patterns, choosing single vs multiple workspaces, and using workspace replication for resilience. |
| Limits & Quotas | L171-L233 | Limits, quotas, performance, and scale behavior for Azure Monitor logs, metrics, agents, autoscale, ingestion, APIs, and resource-specific monitoring (e.g., AKS, DBs, Event Grid, Cosmos DB). |
| Security | L234-L291 | Securing Azure Monitor and related services: network isolation, TLS, auth (Entra, RBAC, keys), policy/compliance, private access, and analyzing security/audit logs across many Azure/3rd‑party workloads. |
| Configuration | configuration.md | Configuring Azure Monitor data collection, diagnostics, alerts, metrics, workspaces, pipelines, and schemas across VMs, Kubernetes, Application Insights, autoscale, and many Azure/SaaS resources. |
| Integrations & Coding Patterns | integrations.md | Integrating Azure Monitor with VMs, apps, Prometheus, OpenTelemetry, ITSM, Grafana, REST APIs, and using KQL patterns to query, export, and analyze logs and metrics across services. |
| Deployment | deployment.md | Deploying and managing Azure Monitor agents, alerts, diagnostics, Application Insights (Profiler/Snapshot), VM insights, and workbooks at scale using portal, ARM, CLI, PowerShell, and policy. |
Troubleshooting
Best Practices
Decision Making
Architecture & Design Patterns
| Topic | URL |
|---|---|
| Design an enterprise monitoring architecture with Azure Monitor | https://learn.microsoft.com/en-us/azure/azure-monitor/fundamentals/enterprise-monitoring-architecture |
| Design Azure Monitor Private Link architecture | https://learn.microsoft.com/en-us/azure/azure-monitor/fundamentals/private-link-design |
| Design single vs multiple Log Analytics workspaces | https://learn.microsoft.com/en-us/azure/azure-monitor/logs/workspace-design |
| Design resilient architectures with Log Analytics workspace replication | https://learn.microsoft.com/en-us/azure/azure-monitor/logs/workspace-replication |
Limits & Quotas
Security
> related_skills --same-repo
> microsoft-foundry
Expert knowledge for Microsoft Foundry (aka Azure AI Foundry) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with Azure OpenAI, vector search/RAG, Sora video, realtime audio, or MCP/LangChain APIs, and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic),
> microsoft-foundry-tools
Expert knowledge for Microsoft Foundry Tools (aka Azure AI services, Azure Cognitive Services) development including best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Content Understanding analyzers, Content Moderator APIs, Foundry containers, VNet/Key Vault security, or Entra auth, and other Microsoft Foundry Tools related development tasks. Not for Microsoft Foundry (use micr
> microsoft-foundry-local
Expert knowledge for Microsoft Foundry Local (aka Azure AI Foundry Local) development including troubleshooting, best practices, decision making, configuration, and integrations & coding patterns. Use when using Foundry Local CLI, chat/transcription APIs, tools, OpenAI/LangChain clients, or upgrading legacy SDKs, and other Microsoft Foundry Local related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foun
> microsoft-foundry-classic
Expert knowledge for Microsoft Foundry Classic (aka Azure AI Foundry classic) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with RAG, tools, evaluators, Azure OpenAI, VNet/Private Link, or CI/CD deployments, and other Microsoft Foundry Classic related development tasks. Not for Microsoft Foundry (use microsoft-foundry