The Netflix TechBlog

DECEMBER 3, 2019

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 is a cloud-native framework. It leverages elasticity of the cloud by design?—?both

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O'Reilly Software

FEBRUARY 27, 2018

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.

Software Architecture 62

Software Architecture Architecture Software Software 62

The Netflix TechBlog

DECEMBER 3, 2019

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 is a cloud-native framework. It leverages elasticity of the cloud by design?—?both

Open Source 135

Open Source AWS Infrastructure Energy 135

O'Reilly

OCTOBER 19, 2021

, but to reference concrete tooling used today in order to ground what could otherwise be a somewhat abstract exercise. Prior to the cloud, setting up and operating a cluster that can handle workloads like this would have been a major technical challenge. Software Development Layers. Software Architecture.

DevOps 145

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All Things Distributed

NOVEMBER 15, 2010

Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances. These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. Cluster GPU programming in the Cloud with the Amazon Web Services changes of all of that. Comments ().

AWS 125

AWS Programming Latency Architecture 125

O'Reilly

NOVEMBER 26, 2024

But many jobs require skills that frequently aren’t taught in traditional CS departments, such as cloud development, Kubernetes, and microservices. Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models.

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