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AoAD2 Practice: Evolutionary System Architecture

James Shore

This is a pre-release excerpt of The Art of Agile Development, Second Edition , to be published by O’Reilly in 2021. Visit the Second Edition home page for information about the open development process, additional excerpts, and more. To share your thoughts, join the AoAD2 open review mailing list. Your feedback is appreciated!

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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. As cluster sizes grow, the likelihood of failure increases due to the number of hardware components involved. million H100 GPU hours.

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TDD and System Architecture

Net Objectives

When first adopting TDD, developers can run into some roadblocks that seem to indicate that TDD is a difficult process. In truth, some of these problems actually indicate faults in the system architecture.

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Bliki: ConwaysLaw

Martin Fowler

Important enough to affect every system I've come across, and powerful enough that you're doomed to defeat if you try to fight it. Any organization that designs a system (defined broadly) will produce a design whose structure is a copy of the organization's communication structure. -- Melvin Conway.

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Building Docker images for multiple operating system architectures

CircleCI

There are often circumstances where software is compiled and packaged into artifacts that must function on multiple operating systems (OS) and processor architectures. It is almost impossible to execute an application on a different OS/architecture platform than the one it was designed for. In this case, it is Docker Hub.

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AI agents loom large as organizations pursue generative AI value

CIO

Yet as organizations figure out how generative AI fits into their plans, IT leaders would do well to pay close attention to one emerging category: multiagent systems. All aboard the multiagent train It might help to think of multiagent systems as conductors operating a train. Such systems are already highly automated.

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Foundation Model for Personalized Recommendation

Netflix Tech

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details).