Migrating Netflix to GraphQL Safely
By Jennifer Shin, Tejas Shikhare, Will Emmanuel In 2022, a major change was made to Netflix’s iOS and Android applications. We migrated Netflix’s mobile apps to GraphQL with zero downtime, which involved a total overhaul from the client to the API layer. Until recently, an internal API framework, Falcor, powered our mobile apps. They are now backed by Federated GraphQL, a distributed approach to A
Python at Netflix
By Pythonistas at Netflix, coordinated by Amjith Ramanujam and edited by Ellen Livengood As many of us prepare to go to PyCon, we wanted to share a sampling of how Python is used at Netflix. We use Python through the full content lifecycle, from deciding which content to fund all the way to operating the CDN that serves the final video to 148 million members. We use and contribute to many open-sou
Netflixにおける日本語字幕の導入
(Please note that this article is a localized (to Japanese) version of a corresponding tech blog article in the English language) 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 Language 2 (TTML2)導入に向けた対応についても触れます。 2014年の終盤にかけて、Netflixでは2015年9月に予定していた日
Netflix FlameScope
We’re excited to release FlameScope: a new performance visualization tool for analyzing variance, perturbations, single-threaded execution, application startup, and other time-based issues. It has been created by the Netflix cloud performance engineering team and just released as open source, and we welcome help from others to develop the project further. (If it especially interests you, you might
Fast JSON API serialization with Ruby on Rails
by Shishir Kakaraddi, Srinivas Raghunathan, Adam Gross and Ryan Johnston We are pleased to announce the open source release of the Fast JSON API gem geared towards Ruby on Rails applications. Introduction Fast JSONAPI is aimed at providing all the major functionality that Active Model Serializer (AMS) provides, along with an emphasis on speed and performance by meeting a benchmark requirement of b
Scaling Time Series Data Storage — Part I
IntroductionThe growth of internet connected devices has led to a vast amount of easily accessible time series data. Increasingly, companies are interested in mining this data to derive useful insights and make data-informed decisions. Recent technology advancements have improved the efficiency of collecting, storing and analyzing time series data, spurring an increased appetite to consume this da
Implementing Japanese Subtitles on Netflix
Japanese subtitles were first made available on the Netflix service as a part of the Japanese launch in September 2015. This blog post provides a technical description of the work we did leading up to this launch. We cover topics including our specification for source subtitle files, the transformation model from source subtitle files to those deliverable on the Netflix service, the model for deli
Netflix at AWS re:Invent 2017
by Jason Chan Netflix is excited to be heading back to Las Vegas for AWS re:Invent at the end of the month! Many Netflix engineers and recruiters will be in attendance, and we’re looking forward to meeting and reconnecting with cloud enthusiasts and Netflix OSS users. We’re posting the schedule of Netflix talks here to make it a bit easier to find our speakers at re:Invent. We’ll also have a booth
Netflix Billing Migration to AWS
The journey to the cloud at Netflix began in 2008, and after seven years of diligent effort, we have finally completed… For a company, its billing solution is its financial lifeline, while at the same time, it is a visible representation of a company’s attitude towards its customers. A great customer experience is one of Netflix’s core values. Considering the sensitive nature of Billing for its di
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