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Virtual Production — A Validation Framework For Unreal Engine

Virtual Production — A Validation Framework For Unreal EngineBy Adam Davis, Jimmy Fusil, Bhanu Srikanth and Girish BalakrishnanGame Engines in Virtual ProductionThe use of Virtual Production and real time technologies has markedly accelerated in the past few years. At Netflix, we are always thrilled to see technology enable new ways of telling stories,...

Data Mesh — A Data Movement and Processing Platform @ Netflix

Data Mesh — A Data Movement and Processing Platform @ NetflixBy Bo Lei, Guilherme Pires, James Shao, Kasturi Chatterjee, Sujay Jain, Vlad SydorenkoBackgroundRealtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users. Our previous...

Formulating ‘Out of Memory Kill’ Prediction on the Netflix App as a Machine Learning Problem

by Aryan Mehrawith Farnaz Karimdady Sharifabad, Prasanna Vijayanathan, Chaïna Wade, Vishal Sharma and Mike SchassbergerAim and Purpose — Problem StatementThe purpose of this article is to give insights into analyzing and predicting “out of memory” or OOM kills on the Netflix App. Unlike strong compute devices, TVs and set top boxes usually have stronger...

How Netflix Content Engineering makes a federated graph searchable (Part 2)

By Alex Hutter, Falguni Jhaveri, and Senthil SayeebabaIn a previous post, we described the indexing architecture of Studio Search and how we scaled the architecture by building a config-driven self-service platform that allowed teams in Content Engineering to spin up search indices easily.This post will discuss how Studio Search supports querying the...

Scaling Appsec at Netflix (Part 2)

By Astha Singhal, Lakshmi Sudheer, Julia KnechtThe Application Security teams at Netflix are responsible for securing the software footprint that we create to run the Netflix product, the Netflix studio, and the business. Our customers are product and engineering teams at Netflix that build these software services and platforms. The Netflix cultural...

A Survey of Causal Inference Applications at Netflix

At Netflix, we want to entertain the world through creating engaging content and helping members discover the titles they will love. Key to that is understanding causal effects that connect changes we make in the product to indicators of member joy.To measure causal effects we rely heavily on AB testing, but we also leverage quasi-experimentation in...

Evolution of ML Fact Store

by Vivek KaushalAt Netflix, we aim to provide recommendations that match our members’ interests. To achieve this, we rely on Machine Learning (ML) algorithms. ML algorithms can be only as good as the data that we provide to it. This post will focus on the large volume of high-quality data stored in Axion — our fact store that is leveraged to compute...

How Netflix Content Engineering makes a federated graph searchable

By Alex Hutter, Falguni Jhaveri and Senthil SayeebabaOver the past few years Content Engineering at Netflix has been transitioning many of its services to use a federated GraphQL platform. GraphQL federation enables domain teams to independently build and operate their own Domain Graph Services (DGS) and, at the same time, connect their domain with...

Rapid Event Notification System at Netflix

By: Ankush Gulati, David GevorkyanAdditional credits: Michael Clark, Gokhan OzerIntroNetflix has more than 220 million active members who perform a variety of actions throughout each session, ranging from renaming a profile to watching a title. Reacting to these actions in near real-time to keep the experience consistent across devices is critical for...

Data pipeline asset management with Dataflow

by Sam Setegne, Jai Balani, Olek GorajekGlossaryasset — any business logic code in a raw (e.g. SQL) or compiled (e.g. JAR) form to be executed as part of the user defined data pipeline.data pipeline — a set of tasks (or jobs) to be executed in a predefined order (a.k.a. DAG) for the purpose of transforming data using some business logic.Dataflow — Netflix...

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