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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

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. 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>

Software 245
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Amazon EC2 Cluster GPU Instances - All Things Distributed

All Things Distributed

Building general purpose architectures has always been hard; there are often so many conflicting requirements that you cannot derive an architecture that will serve all, so we have often ended up focusing on one side of the requirements that allow you to serve that area really well. From CPU to GPU.

AWS 136
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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

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. From Prototype To Production Out of the box, Metaflow provides a first-class local development experience.

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

The Netflix TechBlog

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. From Prototype To Production Out of the box, Metaflow provides a first-class local development experience.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

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. To make ML applications production-ready from the beginning, developers must adhere to the same set of standards as all other production-grade software.

DevOps 138
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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!” Compliance doesn’t need to scary, stressed Levins.

DevOps 8