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Data Engineers of Netflix — Interview with Kevin Wylie

Data Engineers of Netflix — Interview with Kevin WylieThis post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.Kevin Wylie is a Data Engineer on the Content Data Science and Engineering team. In this post, Kevin talks about his extensive experience in content...

Exploring Data @ Netflix

By Gim Mahasintunan on behalf of Data Platform Engineering.Supporting a rapidly growing base of engineers of varied backgrounds using different data stores can be challenging in any organization. Netflix’s internal teams strive to provide leverage by investing in easy-to-use tooling that streamlines the user experience and incorporates best practices.In...

Introducing Netflix Timed Text Authoring Lineage

A Script Authoring SpecificationBy: Bhanu Srikanth, Andy Swan, Casey Wilms, Patrick PearsonThe Art of Dubbing and SubtitlingDubbing and subtitling are inherently creative processes. At Netflix, we strive to make shows as joyful to watch in every language as in the original language, whether a member watches with original or dubbed audio, closed captions,...

How Netflix uses eBPF flow logs at scale for network insight

By Alok Tiagi, Hariharan Ananthakrishnan, Ivan Porto Carrero and Keerti LakshminarayanNetflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time. At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight.ChallengesThe...

Data Engineers of Netflix — Interview with Dhevi Rajendran

Data Engineers of Netflix — Interview with Dhevi RajendranDhevi RajendranThis post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.Dhevi Rajendran is a Data Engineer on the Growth Data Science and Engineering team. Dhevi joined Netflix in July 2020...

Data Engineers of Netflix — Interview with Samuel Setegne

Data Engineers of Netflix — Interview with Samuel SetegneSamuel SetegneThis post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.Samuel Setegne is a Senior Software Engineer on the Core Data Science and Engineering team. Samuel and his team build tools...

My (Seemingly) Random Walk to Netflix

Part of our series on who works in Analytics at Netflix — and what the role entailsBy Sean Barnes, Studio Production Data Science & EngineeringI am going to tell you a story about a person that works for Netflix. That person grew up dreaming of working in the entertainment industry. They attended the University of Southern California, double majored...

Achieving observability in async workflows

Written by Colby Callahan, Megha Manohara, and Mike Azar.Managing and operating asynchronous workflows can be difficult without the proper tools and architecture that puts observability, debugging, and tracing at the forefront.Imagine getting paged outside normal work hours — users are having trouble with the application you’re responsible for, and...

Netflix Drive

A file and folder interface for Netflix Cloud ServicesWritten by Vikram Krishnamurthy, Kishore Kasi, Abhishek Kapatkar, Tejas Chopra, Prudhviraj Karumanchi, Kelsey FrancisIn this post, we are introducing Netflix Drive, a Cloud drive for media assets and providing a high level overview of some of its features and interfaces. We intend this to be a first...

Scaling Revenue & Growth Tooling

Written by Nick Tomlin, Michael Possumato, and Rahul Pilani.This post shares how the Revenue & Growth Tools (RGT) team approaches creating full-stack tools for the teams that are the financial backbone of Netflix. Our primary partners are the teams of Revenue and Growth Engineering (RGE): Growth, Membership, Billing, Payments, and Partner Subscription....

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