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Revisiting BetterTLS: Certificate Path Building

Revisiting BetterTLS: Certificate Path Building

CAMBI, a banding artifact detector

CAMBI, a banding artifact detector

Joel Sole, Mariana Afonso, Lukas Krasula, Zhi Li, Pulkit Tandon

Safe Updates of Client Applications at Netflix

Safe Updates of Client Applications at Netflix

Quality of a client utility is of paramount significance to international digital merchandise, as it's far the number one way clients interact with a…

Interpreting A/B take a look at results: false positives and statistical importance

Interpreting A/B test results: fake positives and statistical significance

Martin Tingley with Wenjing Zheng, Simon Ejdemyr, Stephanie Lane, and Colin McFarland

How We Build Micro Frontends With Lattice

How We Build Micro Frontends With Lattice

A tiny framework that provides an abstraction layer for React web programs to leverage.

Netflix Cloud Packaging in the Terabyte Era

Netflix Cloud Packaging inside the Terabyte Era

By Xiaomei Liu, Rosanna Lee, Cyril Concolato

This is the second put up in a multi-component collection on how Netflix uses A/B assessments to tell selections and constantly innovate on our products.

Practical API Design at Netflix, Part 2: Protobuf FieldMask for Mutation Operations

Practical API Design at Netflix, Part 2: Protobuf FieldMask for Mutation Operations

By Ricky Gardiner, Alex Borysov

The Show Must Go On: Securing Netflix Studios At Scale

The Show Must Go On: Securing Netflix Studios At Scale

A Journey About Productizing Security

Part 1 in a multipart series about selection making and experimentation at Netflix

Practical API Design at Netflix, Part 1: Using Protobuf FieldMask

Practical API Design at Netflix, Part 1: Using Protobuf FieldMask

By Alex Borysov, Ricky Gardiner

Towards a Reliable Device Management Platform

Towards a Reliable Device Management Platform

Data Movement in Netflix Studio thru Data Mesh

Data Movement in Netflix Studio via Data Mesh

By Andrew Nguonly, Armando Magalhães, Obi-Ike Nwoke, Shervin Afshar, Sreyashi Das, Tongliang Liu, Wei Liu, Yucheng Zeng

Data Engineers of Netflix — Interview with Kevin Wylie

Data Engineers of Netflix — Interview with Kevin Wylie

This submit is a part of our “Data Engineers of Netflix” series, where our very personal statistics engineers talk about their trips to Data…

By Gim Mahasintunan on behalf of Data Platform Engineering.

Introducing Netflix Timed Text Authoring Lineage

Introducing Netflix Timed Text Authoring Lineage

A Script Authoring Specification

How Netflix makes use of eBPF flow logs at scale for network perception

How Netflix makes use of eBPF flow logs at scale for community insight

By Alok Tiagi, Hariharan Ananthakrishnan, Ivan Porto Carrero and Keerti Lakshminarayan

My (Seemingly) Random Walk to Netflix

My (Seemingly) Random Walk to Netflix

Part of our series on who works in Analytics at Netflix — and what the function entails

Achieving observability in async workflows

Achieving observability in async workflows

Prodicle Distribution On Cosmos

A file and folder interface for Netflix Cloud Services

Data Engineers of Netflix — Interview with Samuel Setegne

Data Engineers of Netflix — Interview with Samuel Setegne

Scaling Revenue & Growth Tooling

Scaling Revenue & Growth Tooling

How the Revenue & Growth Tools scales complete stack tools for the groups that construct Netflix’s Financial backbone

Data Engineers of Netflix — Interview with Dhevi Rajendran

Data Engineers of Netflix — Interview with Dhevi Rajendran

This submit is a part of our “Data Engineers of Netflix” interview collection, in which our very own statistics engineers communicate about their journeys to Data…

Production Media Management: Transforming Media Workflows through leveraging the Cloud

Production Media Management: Transforming Media Workflows through leveraging the Cloud

Written by way of Anton Margoline, Avinash Dathathri, Devang Shah and Murthy Parthasarathi. Credit to Netflix Studio’s Product, Design, Content…

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