MLOps & Model Lifecycle

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Open-source tools that put a model's lifecycle under control: run tracking and a registry, data versioning, Kubernetes pipelines and drift reports. Interviewers ask which tool closes which gap.

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MLflowempty
- Experiment Trackingempty
- Registered Models & Aliasesempty
- MLmodel Flavors & Signaturesempty
- Scoring Server & Deploymentsempty
DVCempty
- Data Versioning & Cacheempty
- Remotes & Shared Storageempty
- Pipelines & Experimentsempty
Kubeflowempty
- KFP SDK & Runsempty
- Trainer & Katibempty
Feature Store Platformsempty
- Feastempty
- Hosted Vendor Offeringsempty
Model Monitoring Toolingempty
- Data Validation Librariesempty
- Drift & Performance Platformsempty
SHAPempty
- Explainers & Background Dataempty
- Base Values & Plotsempty
LIMEempty