Remove Entertainment Remove Infrastructure Remove Scalability
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Part 1: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

At Netflix, we seek to entertain the world by ensuring our members find the shows and movies that will thrill them. To learn more, follow the Netflix Research Site , and if you are also interested in entertaining the world, have a look at our openroles !

Analytics 212
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Foundation Model for Personalized Recommendation

The Netflix TechBlog

These insights have shaped the design of our foundation model, enabling a transition from maintaining numerous small, specialized models to building a scalable, efficient system. At Netflix, our mission is to entertain the world. One of unique challenges is entity cold-starting.

Tuning 165
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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. Wednesday?—?December This session looks at what it takes to accept, produce, encode, and stream your favorite content.

AWS 38
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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. You’re passionate about resilience, scalability, availability, and observability.

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Building a Rule-Based Platform to Manage Netflix Membership SKUs at Scale

The Netflix TechBlog

By Budhaditya Das , Wallace Wang , and Scott Yao At Netflix, we aspire to entertain the world. To solve the challenges mentioned above and meet our rapidly evolving business needs, we re-architected the legacy SKU catalog from the ground up and partnered with the Growth Engineering team to build a scalable SKU platform.

Mobile 218
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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 235
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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 164