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MLOps Is an Extension of DevOps. Not a Fork — My Thoughts on THE MLOPS Paper as an MLOps Startup CEO

The MLOps Blog

I believe the team will look something like this: Software delivery reliability: DevOps engineers and SREs ( DevOps vs SRE here ) ML-specific software: software engineers and data scientists Non-ML-specific software: software engineers Product: product people and subject matter experts Wait, where is the MLOps engineer? Tools are temporary.

DevOps 59
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Definite Guide to Building a Machine Learning Platform

The MLOps Blog

The platform should be designed to orchestrate your machine learning workflow, be environment-agnostic (portable to multiple environments), and work with different libraries and frameworks. What is right for one business would not work for another; the data will give different insights. The platform handles that.