Azure Metrics Advisor
An AI service that monitors metrics and diagnoses issues.
Protect your organization's growth
The Anomaly Detector core engine selects the right anomaly-detection model
A guided autotuning experience helps you customize the service to your unique needs
All dimension combinations are analyzed to pinpoint affected areas for root-cause analysis and diagnoses, and send alerts
End-to-end management of data monitoring is easily done through the Metrics Advisor interface, that plugs into popular time-series databases and provides stream monitoring support
Detect anomalies in virtually every scenario
Easily configure the service for your organization’s specifications
Focus on fixing rather than data monitoring
Accelerate time to value
Comprehensive security and compliance, built in
Microsoft invests more than $1 billion annually on cybersecurity research and development.
We employ more than 3,500 security experts who are dedicated to data security and privacy.
Metrics Advisor pricing
Pay only for what you use, with no upfront costs. Customers get 25 metrics per month for free.
Get started with an Azure free account
Start free. Get $200 credit to use within 30 days. While you have your credit, get free amounts of many of our most popular services, plus free amounts of 55+ other services that are always free.
After your credit, move to pay as you go to keep building with the same free services. Pay only if you use more than your free monthly amounts.
After 12 months, you'll keep getting 55+ always-free services—and still pay only for what you use beyond your free monthly amounts.
Resources and documentation
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Frequently asked questions about Metrics Advisor
Anomaly Detector is comprised of simple REST APIs with a code-first experience. It's the core engine of Metrics Advisor that detects anomalies in time-series data. It's best applied for ad-hoc data analysis, and it can be run in containers.
Metrics Advisor has additional time-series monitoring features, with pipeline APIs and a built-in user interface for managing the service. It’s designed for live-streaming data and AI analytics, and it supports deploying in Azure.
Currently, it supports only Azure deployments.