Microsoft Azure → Amazon Web Services
AWS equivalent of Azure ML model monitoring
The closest AWS equivalent of Azure ML model monitoring is Amazon SageMaker Model Monitor.
About Azure ML model monitoring
| Provider | Microsoft Azure |
|---|---|
| Status | Generally available |
| What it is | Built-in signals (data drift, prediction drift, data quality, feature attribution drift, model performance) with thresholds and alerts through Azure ML or Event Grid. |
| Documentation | learn.microsoft.com |
| Pricing | Official pricing page |
AWS mappings (1)
| Capability | AWS equivalent | Match |
|---|---|---|
| Production model monitoring (drift) | Amazon SageMaker Model Monitor Maintenance | Direct match |
MLOps & responsible AI(1)
Production model monitoring (drift) Direct match
SageMaker Model Monitor (in maintenance) maps to Azure Machine Learning model monitoring. Azure's is a fully supported, built-in service, while AWS now recommends open-source monitoring solutions for new customers.
- Azure ML signals cover data drift, prediction drift, data quality, feature attribution drift, and model performance, with alerts through Azure ML or Event Grid.
- AWS's replacement is an open-source reference (aws-samples) built on SageMaker AI, Athena, Lambda, EventBridge, QuickSight, MLflow, and Evidently AI that you deploy in your account.