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Monitoring and Alerts

Lifecycle stages:

Introduction
Onboarding
Supported User Workflows
Infrastructure & Compute
Development Environment
Experimentation
Training
Deployment
Monitoring and Alerts

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PLACEHOLDER FILE

This section is all about monitoring and alerts in Azure ML.

It should cover monitoring from both an infrastructure and model perspective, including:

  1. Cost Monitoring in Azure ML
  2. Model Performance Monitoring
  3. Data Drift Monitoring
  4. Approach to Monitoring Many Models
  5. Email Alerts in Azure ML
  6. Log Searching in Azure ML

Documents available for this stage​