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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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Demystifying Interviewing for Backend Engineers @ Netflix

The Netflix TechBlog

You apply for multiple roles at the same company and proceed through the interview process with each hiring team separately, despite the fact that there is tremendous overlap in the roles. Interviewing can be a daunting endeavor and how companies, and teams, approach the process varies greatly.

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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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DBaaS vs Self-Managed Cloud Databases

Scalegrid

Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up. Understanding this DBaaS system might take some adjusting too similar just how traveling on cruises has its tempo which requires us to get used to optimally benefit from what it provides.

Database 130
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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.

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

AWS 100
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HDMI?—?Scaling Netflix Certification

The Netflix TechBlog

This significantly increases the scope of our application integration and certification processes for streaming devices like set-top-boxes (STBs) and TVs. To deal with these scaling challenges, we have opted to integrate API-enabled HDMI Signal Analyzers into our test infrastructure. The figure below highlights this testing process.

Media 163