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MLOps and DevOps: Why Data Makes It Different

O'Reilly

All ML projects are software projects. If you peek under the hood of an ML-powered application, these days you will often find a repository of Python code. If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service.

DevOps 140
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Tasktop Viz launch – DevOps Enterprise Summit 2019 – Day Two Recap

Tasktop

Scott Havens, Senior Director of Engineering at Mode Operandi, highlighted the benefits of event-based systems over legacy approaches, and how software architecture should be just as beautiful as the clothes on sale. Just look at how ugly that service-oriented architecture is!”

DevOps 8