Azure metrics advisor

Azure AI Metrics Advisor Skill

This skill provides expert guidance for Azure AI Metrics Advisor. Covers decision making, limits & quotas, security, configuration, and integrations & coding patterns. 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), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file

IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools 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_fetch with query string from=learn-agent-skill. Returns Markdown.
• Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

Category	Lines	Description
Decision Making	L33-L37	Guidance on estimating, controlling, and optimizing Metrics Advisor costs and usage, including pricing factors, quotas, and cost-management best practices.
Limits & Quotas	L38-L42	Service limits for Metrics Advisor: max metrics, dimensions, alerts, data ingestion rates, detection constraints, and guidance on scaling within quotas.
Security	L43-L48	Configuring Metrics Advisor security: data encryption, auth options (keys, AAD), and creating/managing secure credential entities for data sources and monitoring.
Configuration	L49-L53	Setting up Metrics Advisor: configuring alert hooks (email/webhook), alerting rules, data feed and detection settings, and tuning anomaly detection behavior for your instance.
Integrations & Coding Patterns	L54-L58	Connecting Metrics Advisor to various data sources, crafting valid ingestion queries, and using its REST API/SDKs to integrate anomaly detection into applications

Decision Making

Topic	URL
Plan and manage Azure Metrics Advisor costs and usage	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/cost-management

Limits & Quotas

Topic	URL
Understand Metrics Advisor limits and constraints	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/faq

Security

Topic	URL
Configure encryption and authentication for Metrics Advisor	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/encryption
Create and manage Metrics Advisor credential entities securely	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/how-tos/credential-entity

Configuration

Topic	URL
Configure Metrics Advisor instance and detection settings	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/how-tos/configure-metrics

Integrations & Coding Patterns

Topic	URL
Connect diverse data sources to Metrics Advisor	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/data-feeds-from-different-sources
Use Metrics Advisor REST API and client SDKs	https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/quickstarts/rest-api-and-client-library