azure-monitor
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-L86 | Diagnosing and fixing Azure Monitor issues: agent/extension health, data collection and ingestion failures, alerts/ITSM, Application Insights, containers/Prometheus, workbooks, and VM performance. |
| Best Practices | L87-L123 | Best practices for configuring, scaling, querying, and optimizing Azure Monitor (logs, metrics, alerts, autoscale, AKS/VMs, Prometheus, multicloud) for performance, reliability, and cost. |
| Decision Making | L124-L161 | Guidance for choosing Azure Monitor options and planning migrations (agents, alerts, metrics, logs, SCOM, Prometheus, Splunk), plus cost, billing, and visualization decisions. |
| Architecture & Design Patterns | L162-L169 | Designing Azure Monitor architectures: enterprise-wide layouts, Private Link network patterns, choosing single vs multiple workspaces, and using workspace replication for resilience. |
| Limits & Quotas | L170-L237 | Limits, performance, and scaling behavior for Azure Monitor logs, metrics, agents, autoscale, Prometheus, Container Insights, Workbooks, and per‑resource metric definitions. |
| Security | L238-L293 | Securing Azure Monitor: auth (Entra, RBAC, keys), network (NSP, firewalls, Private Link, TLS), ITSM/webhooks, Container/Prometheus/Grafana access, and security/audit log schemas and analysis. |
| Configuration | configuration.md | Configuring Azure Monitor end to end: agents, DCRs, pipelines, networking, alerts, autoscale, Application Insights, Kubernetes/Prometheus, Private Link, logs/metrics schemas, and resource‑specific metrics/logs. |
| Integrations & Coding Patterns | integrations.md | Integrating Azure Monitor with apps, alerts, ITSM, Prometheus/Grafana, REST/CLI, and using KQL patterns to query, export, and analyze logs/metrics across many Azure and third‑party services |
| Deployment | deployment.md | Deploying and migrating Azure Monitor agents/resources at scale (VMs, Arc, diagnostics, alerts, Profiler, workspaces, Grafana) using Policy, ARM, CLI, and PowerShell |
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
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