Exercise Infrastructure Processing Software Architecture 
The Netflix TechBlog
DECEMBER 3, 2019
About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” mainly because of mundane reasons related to software engineering. Metaflow removes this cognitive overhead.
The Netflix TechBlog
DECEMBER 3, 2019
About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” mainly because of mundane reasons related to software engineering. Metaflow removes this cognitive overhead.
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O'Reilly
OCTOBER 19, 2021
As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. What does a modern technology stack for streamlined ML processes look like? All ML projects are software projects. Why: Data Makes It Different.
Tasktop
OCTOBER 30, 2019
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!” Photo credit: @DOES_USA. I was like, “Wow!
All Things Distributed
NOVEMBER 15, 2010
From financial processing and traditional oil & gas exploration HPC applications to integrating complex 3D graphics into online and mobile applications, the applications of GPU processing appear to be limitless. Because of its focus on latency, the generic CPU yielded rather inefficient system for graphics processing.
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