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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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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. All architecture decisions are ultimately driven by a company’s business model, so I think this is a sensible starting point. Is each domain core, supporting, or generic?

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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. The traditional EA role of documenting business processes and capabilities serves a purposes. However, if nobody reads the documentation and it gets out of date quickly, it’s a tick-box exercise rather than a value creating one.

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Building High-Quality Software

DZone

It’s much better to build your process around quality checks than retrofit these checks into the existent process. NIST did classic research to show that catching bugs at the beginning of the development process could be more than ten times cheaper than if a bug reaches production. A side note.

Software 245
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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. We heard many stories about difficulties related to data access and basic data processing. In many other frameworks, loading and storing of artifacts is left as an exercise for the user, which forces them to decide what should and should not be persisted.

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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. We heard many stories about difficulties related to data access and basic data processing. In many other frameworks, loading and storing of artifacts is left as an exercise for the user, which forces them to decide what should and should not be persisted.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments.

DevOps 138