azure-anomaly-detector

Original：🇺🇸 English
Translated

Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, architecture & design patterns, limits & quotas, configuration, and deployment. Use when using univariate/multivariate APIs, Docker/IoT Edge containers, predictive maintenance flows, or regional limits, and other Azure AI Anomaly Detector related development tasks. Not for Azure AI Metrics Advisor (use azure-metrics-advisor), Azure Monitor (use azure-monitor), Azure Machine Learning (use azure-machine-learning).

9installs
Sourcemicrosoftdocs/agent-skills
Added on

NPX Install

npx skill4agent add microsoftdocs/agent-skills azure-anomaly-detector

Tags

Translated version includes tags in frontmatter
azure-anomaly-detectortroubleshootingbest-practicesdeploymentconfiguration

SKILL.md Content

View Translation Comparison →

Azure AI Anomaly Detector Skill

This skill provides expert guidance for Azure AI Anomaly Detector. Covers troubleshooting, best practices, architecture & design patterns, limits & quotas, configuration, 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
), 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

CategoryLinesDescription
TroubleshootingL34-L39Diagnosing and fixing Anomaly Detector issues, including multivariate API error codes, model training/detection failures, data format problems, and common service or configuration errors.
Best PracticesL40-L45Guidance on preparing data, tuning parameters, interpreting results, and designing workflows for effective use of univariate and multivariate Azure Anomaly Detector APIs.
Architecture & Design PatternsL46-L50Designing predictive maintenance solutions using Multivariate Anomaly Detector, including data preparation, model setup, and architecture patterns for monitoring complex equipment.
Limits & QuotasL51-L56Details on Anomaly Detector regional endpoints, usage constraints, request/throughput limits, quotas, and how these caps affect model training and inference.
ConfigurationL57-L61How to configure and tune Anomaly Detector Docker containers, including environment variables, resource limits, logging, networking, and runtime behavior settings.
DeploymentL62-L67How to package and run Anomaly Detector in containers: Docker setup, Azure Container Instances deployment, and IoT Edge module deployment and configuration.

Troubleshooting

TopicURL
Troubleshoot Multivariate Anomaly Detector error codeshttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/concepts/troubleshoot
Resolve common Azure Anomaly Detector issueshttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/faq

Best Practices

TopicURL
Apply univariate Anomaly Detector API best practiceshttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/concepts/anomaly-detection-best-practices
Use multivariate Anomaly Detector API effectivelyhttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/concepts/best-practices-multivariate

Architecture & Design Patterns

TopicURL
Design predictive maintenance with Multivariate Anomaly Detectorhttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/concepts/multivariate-architecture

Limits & Quotas

TopicURL
Use Anomaly Detector regional endpoints and constraintshttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/regions
Review Anomaly Detector service limits and quotashttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/service-limits

Configuration

TopicURL
Configure Anomaly Detector container runtime settingshttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/anomaly-detector-container-configuration

Deployment

TopicURL
Deploy and run Anomaly Detector Docker containershttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/anomaly-detector-container-howto
Run Anomaly Detector in Azure Container Instanceshttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/how-to/deploy-anomaly-detection-on-container-instances
Deploy Anomaly Detector module to Azure IoT Edgehttps://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/how-to/deploy-anomaly-detection-on-iot-edge