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What is MLOps and how to use MLflow and BentoML to track model lineage and deploy inference endpoints?

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Version 1 (Edit)

Edited by Rajesh Sharma · Aug 24, 2026 10:21 AM

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Title snapshot

What is MLOps and how to use MLflow and BentoML to track model lineage and deploy inference endpoints?

Summary snapshot
Experiment tracking, model registries, containerized model serving, and telemetry monitoring.
Content snapshot
### MLOps Pipeline Track experiment hyperparameters and loss artifacts in MLflow; register winning weights to Model Registry and deploy containerized APIs via BentoML.
Source snapshot

https://mlflow.org/

Version 1 (Original Post)

Published by Rajesh Sharma · Aug 9, 2026 5:37 AM

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Post originally created and published to the Global Hub.

Original Title

What is MLOps and how to use MLflow and BentoML to track model lineage and deploy inference endpoints?

Original Summary
Experiment tracking, model registries, containerized model serving, and telemetry monitoring.
Original Content
### MLOps Pipeline Track experiment hyperparameters and loss artifacts in MLflow; register winning weights to Model Registry and deploy containerized APIs via BentoML.
Original Sources

https://mlflow.org/