MLOps & responsible AI
Amazon SageMaker Model Monitor vs Azure ML model monitoring
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.
Side-by-side comparison
| Aspect | Amazon Web Services | Microsoft Azure |
|---|---|---|
| Service | Amazon SageMaker Model Monitor Maintenance | Azure ML model monitoring |
| Lifecycle | No longer open to new customers (lifecycle announcement June 30, 2026). AWS recommends open-source SageMaker AI monitoring solutions with QuickSight and CloudWatch. | Generally available |
| What it is | Data quality, model quality, bias, and feature-attribution drift monitoring for endpoints. | Built-in signals (data drift, prediction drift, data quality, feature attribution drift, model performance) with thresholds and alerts through Azure ML or Event Grid. |
| Pricing model | Monitoring jobs are billed per instance time. | Billed for the compute running monitoring jobs. |
| Docs | Amazon SageMaker Model Monitor docs | Azure ML model monitoring docs |
| Pricing page | Amazon SageMaker Model Monitor pricing | Azure ML model monitoring pricing |
| Exams | MLA-C01 Retiring | AI-300 |
Key differences
- 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.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- Monitoring jobs are billed per instance time. Amazon SageMaker Model Monitor pricing →
- Azure
- Billed for the compute running monitoring jobs. Azure ML model monitoring pricing →
Certification exam mapping
| Exam | Provider | Level | Status |
|---|---|---|---|
| AWS Certified Machine Learning Engineer – Associate MLA-C01 | AWS | Associate | retiring Being updated to MLA-C02 (beta registration opened Sep 1, 2026). Last day for MLA-C01 in English was Sep 28, 2026; Korean, Japanese, and Simplified Chinese remain until MLA-C02 GA. |
| Microsoft Certified – Machine Learning Operations Engineer Associate AI-300 | Azure | Associate | current MLOps and GenAIOps infrastructure on Azure (IaC with Bicep/CLI, GitHub Actions). Closest successor in scope to the retired DP-100. |
Relevance is based on each exam's published scope, not a line-by-line objective match. Check the official study guide.
FAQ
What is the Azure equivalent of Amazon SageMaker Model Monitor?
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.
How does pricing compare between Amazon SageMaker Model Monitor and Azure ML model monitoring?
AWS: Monitoring jobs are billed per instance time. Azure: Billed for the compute running monitoring jobs. Check the official pricing pages for current rates.
Which certification exams cover this topic?
AWS Certified Machine Learning Engineer – Associate (MLA-C01) [retiring]; Microsoft Certified – Machine Learning Operations Engineer Associate (AI-300).