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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 100
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Understanding What Kubernetes Is Used For: The Key to Cloud-Native Efficiency

Percona

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. Because of this flexibility, businesses may choose the infrastructure that best meets their needs.

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Ciao Milano! – An AWS Region is coming to Italy!

All Things Distributed

Currently we have 57 Availability Zones across 19 technology infrastructure Regions. We needed to serve our growing base of startup, government, and enterprise customers across many vertical industries, including automotive, financial services, media and entertainment, high technology, education, and energy.

AWS 167
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 37
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Growth Engineering at Netflix- Creating a Scalable Offers Platform

The Netflix TechBlog

Lower latency as a result of fewer service calls, which means fewer errors for our visitors. How, when, and where people want to be entertained continues to evolve. Configuration instead of code for updating SKU data, which improves innovation velocity. The world is constantly changing. Device capabilities continue to improve.