Advanced

Model Versioning and Migration

The model under your application changes whether or not you asked. Providers ship new snapshots, deprecate old ones and give you a window, so a deployment that pinned nothing has quality moving beneath it and a deployment that pinned everything eventually gets a forced cutover on someone else's schedule.

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RELATED CONCEPTS

CI/CD for Models Offline vs Online Evaluation Golden Datasets and Eval Sets Model Routing and Cascades A/B, Canary and Shadow Testing

LESSONS THAT TEACH THIS

The FDE EngagementEvery dashboard is green and the system has been getting worse for a month14 min→Hard DeploymentsThe customers on the old code did not ask for your platform16 min→

PRACTICE THIS IN REAL QUESTIONS

MLOps & ML EngineeringHow is CI/CD for ML models different from traditional DevOps CI/CD?→ML System Design (Product)Predict watch time for items in a video catalog, Netflix-style. How do you build it?→System Design & Production EngineeringIt's Friday evening at a customer site and they want a hotfix shipped now. How do you do it safely, and when do you refuse?→MLOps & ML EngineeringWhat's the difference between shadow deployment and A/B testing a model?→MLOps & ML EngineeringWhen you say you 'push staging to production,' what does that actually mean for a model?→ML System Design (Product)Design an ETA prediction system for a maps or navigation app.→