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Announcing the Netflix Research Website

We’re pleased to announce that we’ve launched a new website at research.netflix.com that provides an overview of the research that we do here at Netflix. We have many amazing researchers working on a...

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Engineers Making Movies (AKA Open Source Test Content)

by Andy Schuler and Matthew DonatoIf you’re a die-hard Netflix fan, you may have already stumbled onto the dark and brooding story of a timeless struggle between man and nature, water and fountain,...

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Netflixにおける日本語字幕の導入

Netflixでは、2015年9月の日本における配信サービス開始時から日本語字幕を提供しています。 今回のブログでは、日本語字幕提供に至るまでの技術的な取り組みについて説明します。 字幕ソースファイルの仕様、字幕ソースファイルからNetflix配信用字幕への変換モデル、Netflixにおける日本語字幕の納品モデルなどを取り上げます。さらに、W3C字幕規格Timed Text Markup...

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Multi-Cloud Continuous Delivery with Spinnaker report now available.

by Emily Burns, Asher Feldman, Rob Fletcher, Tomas Lin, Justin Reynolds, Chris Sanden and Rob ZienertWe’re pleased to announce the release of our O’Reilly report, Continuous Delivery with Spinnaker....

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Full Cycle Developers at Netflix

Full Cycle Developers at Netflix — Operate What You BuildThe year was 2012 and operating a critical service at Netflix was laborious. Deployments felt like walking through wet sand. Canarying was...

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Open Sourcing Zuul 2

We are excited to announce the open sourcing of Zuul 2, Netflix’s cloud gateway. We use Zuul 2 at Netflix as the front door for all requests coming into Netflix’s cloud infrastructure. Zuul 2...

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Lessons from Building Observability Tools at Netflix

Our mission at Netflix is to deliver joy to our members by providing high-quality content, presented with a delightful experience. We are constantly innovating on our product at a rapid pace in pursuit...

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The End of Video Coding?

By Anne Aaron and Jan De CockIn the IEEE Signal Processing Magazine issue November 2006 article “Future of Video Coding and Transmission” Prof. Edward Delp started by asking the panelists “Is video...

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Metacat: Making Big Data Discoverable and Meaningful at Netflix

by Ajoy Majumdar, Zhen LiMost large companies have numerous data sources with different data formats and large data volumes. These data stores are accessed and analyzed by many people throughout the...

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Growth Engineering at Netflix — Accelerating Innovation

by Eric EiswerthMillions of people visit Netflix every day. Many of them are already Netflix members, looking to enjoy their favorite movies and TV shows, and we work hard to ensure they have a great...

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Netflix at Spark+AI Summit 2018

By Faisal SiddiqiA glimpse at Spark usage for Netflix RecommendationsApache Spark has been an immensely popular big data platform for distributed computing. Netflix has been using Spark extensively for...

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Simplifying Media Innovation at Netflix with Archer

By Naveen Mareddy, Frank San Miguel, Mangala Prabhu and Olof JohanssonImagine you are developing a quick prototype to sift through all the frames of the movie Bright to find the best shots of Will...

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Auto Scaling Production Services on Titus

By Andrew Leung, Amit Joshi, and the rest of the Titus team.Over the past three years, Netflix has been investing in container technology. A large part of this investment has been around Titus,...

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Evolution of Application Data Caching : From RAM to SSD

In 2013, we introduced EVCache a distributed in-memory caching solution based on memcached that offers low-latency, high-reliability caching and storage. It is well integrated with AWS and EC2, a...

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Netflix SIRT releases Diffy: A Differencing Engine for Digital Forensics in...

Netflix Cloud Security SIRT releases Diffy: A Differencing Engine for Digital Forensics in the CloudForest Monsen and Kevin Glisson, Netflix Security Intelligence and Response TeamCan you spot the...

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Pseudo Localization @ Netflix

by Tim BrandallIn the past 8 years Netflix has transformed from an English-only product, to now supporting 26 languages and growing. As we add language support for our members residing in 190 different...

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Netflix Cloud Security: Detecting Credential Compromise in AWS

Will Bengtson, Netflix Security Tools and OperationsCredential compromise is an important concern for anyone operating in the cloud. The problem becomes more obvious over time, as organizations...

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Beyond Interactive: Notebook Innovation at Netflix

By Michelle Ufford, M Pacer, Matthew Seal, and Kyle KelleyNotebooks have rapidly grown in popularity among data scientists to become the de facto standard for quick prototyping and exploratory...

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Scheduling Notebooks at Netflix

by Matthew Seal, Kyle Kelley, and Michelle UffordAt Netflix we’ve put substantial effort into adopting notebooks as an integrated development platform. The idea started as a discussion of what...

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Engineering to Improve Marketing Effectiveness (Part 2) — Scaling Ad Creation...

Engineering to Improve Marketing Effectiveness (Part 2) — Scaling Ad Creation and Managementby Ravi Srinivas Ranganathan, Gopal KrishnanIn the first part of this series of blogs, we described our...

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