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Highlights from the O'Reilly Software Architecture Conference in New York 2018

O'Reilly Software

Watch highlights covering the latest tools and techniques of software architecture. From the O'Reilly Software Architecture Conference in New York 2018. Experts from across the software architecture world came together in New York for the O'Reilly Software Architecture Conference.

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Building High-Quality Software

DZone

They are rerun(in the best case) and thus defeating the whole purpose of this exercise while spending tons and tons of time/money/energy on this).nn> "}">I have interviewed many engineers and managers lately, and one of the standard questions I ask is how to build high-quality software. "}">I heard all kinds of answers.

Software 245
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Architecture & DDD Kata: Online Car Dealership

Strategic Tech

I’ve just created a new kata which you and your team/friends can use to practice your architecture and domain-driven design skills. This kata is split into four sections that address different aspects of architecting software systems. Is each domain core, supporting, or generic? There’s no correct answer for this activity.

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Enterprise Architecture in a Product-Oriented DevOps World

Strategic Tech

Enterprise Architecture (EA) is hugely important for medium and large organisations. However, if nobody reads the documentation and it gets out of date quickly, it’s a tick-box exercise rather than a value creating one. In my experience as a consultant, EAs are not having the impact they should. Enterprise Architects are smart people.

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How the Swedish Transport Agency learned distributed systems in six months

Particular Software

We skipped a few sessions (the exercises), but in retrospect we should have watched them all I think. Takeaways Information-dense videos on software architecture can be difficult to consume on your own. And few people will claim that watching densely-packed architectural videos all day is a substitute for in-person training.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

mainly because of mundane reasons related to software engineering. The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much. Metaflow removes this cognitive overhead.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.

DevOps 138