Model and data versioningFeature storesDrift detectionShadow and canary deployment
MLOps: Productionizing and Monitoring Models
1 min readLearnJul 17, 2026
Key Takeaway for Students
MLOps applies CI/CD, versioning and monitoring to ML so models can be deployed, rolled back and retrained reliably. The hard part is detecting data and concept drift once the live distribution moves away from training data.
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MLOps applies CI/CD, versioning and monitoring to ML so models can be deployed, rolled back and retrained reliably. The hard part is detecting data and concept drift once the live distribution moves away from training data.