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Python at Netflix

The Netflix TechBlog

We use Python through the full content lifecycle, from deciding which content to fund all the way to operating the CDN that serves the final video to 148 million members. video streaming) takes place in the Open Connect network. We use and contribute to many open-source Python packages, some of which are mentioned below.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

These applications range from critical low-latency services powering our customer-facing video streaming service, to batch jobs for encoding or machine learning. The idea CFS operates by very frequently (every few microseconds) applying a set of heuristics which encapsulate a general concept of best practices around CPU hardware use.

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Structural Evolutions in Data

O'Reilly

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. And that brings our story to the present day: Stage 3: Neural networks High-end video games required high-end video cards. Google goes a step further in offering compute instances with its specialized TPU hardware.

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Observations on the Importance of Cloud-based Analytics

All Things Distributed

In the past analytics within an organization was the pinnacle of old style IT: a centralized data warehouse running on specialized hardware. The City of Chicago is one of the first to bring sensors throughout the city that will permanently measure air quality, light intensity, sound volume, heat, precipitation, wind and traffic.

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Sustainable Web Development Strategies Within An Organization

Smashing Magazine

For example, changing our database architecture to be more efficient could save on server costs. Terabyte of wasted traffic. Continue reading below ↓ Meet Smashing Online Workshops on front-end & UX , with practical takeaways, live sessions, video recordings and a friendly Q&A. Hardware And E-Waste.

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Why OpenStack is like a Crowdfunded Viking Movie

VoltDB

An opening scene involving a traffic jam of Viking boats and a musical number (“Love Can’t Afjord to wait”). Hardware Optimizers” want to get the maximum utilization out of hardware. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. Vikings fight zombies.

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10 Lessons from 10 Years of Amazon Web Services

All Things Distributed

This is a given, whether you are using the highest quality hardware or lowest cost components. When customers left the constraining, old world of IT hardware and datacenters behind, they started to develop systems with new and interesting usage patterns that no one had ever seen before. Primitives not frameworks.

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