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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. ETL workflows), as well as downstream (e.g.

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Helping VFX studios pave a path to the cloud

The Netflix TechBlog

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” This ultimately results in more compelling entertainment for Netflix members.

Cloud 282
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End-to-end observability provides deep insights into user behavior for British Columbia Lottery Corporation

Dynatrace

People now depend on digital experiences for access to goods, services, and entertainment. As such, the corporation’s mission is to deliver exceptional—and healthy—gambling entertainment experiences. “A lot has changed and it’s a lot better now that we have a detailed view of how our players behave in the system.”

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What is chaos engineering?

Dynatrace

The many disaster scenarios and outcomes allow chaos engineers to better model what happens to applications and microservices, which gives them increasing intelligence to share with developers to perfect software and cloud-native infrastructure. The history of chaos engineering. Netflix pioneered chaos engineering out of necessity.

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Demystifying Interviewing for Backend Engineers @ Netflix

The Netflix TechBlog

Some of the areas for which we are actively seeking backend engineers include Streaming & Gaming Technologies, Product Innovation, Infrastructure, and Studio Technologies. Passion for large data sets, APIs, access & identity management, or delivering backend systems that enable mobile and cloud gaming is a big plus.

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Remote Workstations for the Discerning Artists

The Netflix TechBlog

Artists like to work at places where they can create groundbreaking entertainment instead of worrying about getting access to the software or source files they need. To meet this need, the Studio Infrastructure team has created Netflix Workstations. We needed a system that could manage hundreds to one-day thousands of workstations.

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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. In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking.

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