Notice: Azure AI Metrics Advisor was retired on 18 May 2026. Microsoft recommends Azure Monitor (anomaly detection via KQL), the open-source microsoft/anomaly-detector project, and multivariate anomaly detection in Microsoft Fabric as alternatives.
What is Azure AI Metrics Advisor?
Azure AI Metrics Advisor is an AI service for automatic anomaly detection in time series data. The service monitors business metrics, detects unusual patterns, and analyzes their root causes for proactive monitoring and rapid problem resolution.
Core Features
- Automatic Anomaly Detection: AI models learn normal patterns and detect deviations without manual thresholds
- Multi-Metric Analysis: Monitors thousands of metrics simultaneously with individual models
- Root Cause Analysis: Automatically identifies dimensions and factors contributing to anomalies
- Smart Alerting: Configurable notifications with anomaly details and context
- Feedback Loop: The system learns from user feedback and continuously improves detection accuracy
Typical Use Cases
Business KPI Monitoring: Finance teams monitor revenue, conversion rates, and transaction volume. Metrics Advisor detects unusual drops or spikes and identifies affected regions or product categories.
IoT and Manufacturing: Manufacturing companies monitor sensor data from machines. The service detects anomalies in temperature, vibration, or throughput before failures occur.
IT Operations: DevOps teams use Metrics Advisor for monitoring latency, error rates, and resource utilization across complex microservice architectures.
Benefits
- No ML expertise required for configuration
- Automatically scales to millions of time series
- Integration with Azure Monitor, Teams, and webhooks for alerting
- Interactive dashboard for exploration and root cause analysis
Integration with innFactory
As a Microsoft Solutions Partner, innFactory supports you with Azure AI Metrics Advisor: We implement proactive monitoring solutions, integrate your data sources, and configure meaningful alerts for your business KPIs.
Typical Use Cases
Frequently Asked Questions
What does Azure AI Metrics Advisor do?
Metrics Advisor monitors time series metrics, automatically detects anomalies, and analyzes their root causes. The service learns normal behavior of your data and alerts on deviations.
Which data sources are supported?
The service connects to Azure Data Lake, SQL Server, Cosmos DB, Azure Blob Storage, Influx DB, and more. Data can also be ingested via REST API.
How does Root Cause Analysis work?
Metrics Advisor analyzes correlations between metrics and automatically identifies dimensions and time periods that contributed to anomalies.
Can I customize the model?
Yes, you can configure sensitivity, anomaly direction, and thresholds. The system also learns from your feedback on detected anomalies.
How does Metrics Advisor differ from Azure Monitor?
Azure Monitor provides classic threshold-based alerting. Metrics Advisor uses AI to detect complex patterns and identify anomalies that rule-based systems would miss.
Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of Azure (official documentation). This page does not represent an offer by Azure.
