Essential Suite — Artwork Producer Assistant

Introduction Netflix continues to invest in content for a global audience with a diverse range of unique tastes and interests. Correspondingly, the member experience must also evolve to connect this global audience to the content that most appeals to each of them. Images that represent…

Optimizing the Aural Experience on Android Devices with xHE-AAC

Introduction At Netflix, we are passionate about delivering great audio to our members. We began streaming 5.1 channel surround sound in 2010, Dolby Atmos in 2017, and adaptive bitrate audio in 2019. Continuing in this tradition, we are proud to announce that Netflix now streams…

Delta: A Data Synchronization and Enrichment Platform

Andreas Andreakis, Falguni Jhaveri, Ioannis Papapanagiotou, Mark Cho, Poorna Reddy, Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), providing advanced search capabilities (ElasticSearch etc.), caching…

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 …

Data Engineers of Netflix — Interview with Samuel Setegne

This 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 and frameworks…

Page Simulator

At Netflix, we spend a lot of effort to make it easy for our members to find content they will love. To make this happen, we personalize many aspects of our service, including…

Spinnaker Sets Sail to the Continuous Delivery Foundation

Since releasing Spinnaker to the open source community in 2015, the platform has flourished with the addition of new cloud providers, triggers, pipeline stages, and much more. Myriad new features, improvements, and innovations have been added by an ever growing, actively engaged community. Each new innovation has…

Announcing the Netflix Post Technology Alliance

You’re working on the next great show or film that will deliver to Netflix. You know Netflix has a high quality bar for its content and you want the delivery to go smoothly. Do you know if the tools you have invested in can…

Introducing Dispatch

Netflix is pleased to announce the open-source release of our crisis management orchestration framework: Dispatch! Okay, but what is Dispatch? Put simply, Dispatch is: All of the ad-hoc things you’re doing to manage incidents today, done for you, and a bunch of other things you should’ve been doing, but have not had the time! Dispatch helps us effectively…

Our learnings from adopting GraphQL

by Artem Shtatnov and Ravi Srinivas Ranganathan In an earlier blog post, we provided a high-level overview of some of the applications in the Marketing Technology team that we build to enable scale and intelligence in driving our global advertising, which reaches users on sites like The New York Times…

Introducing Netflix Timed Text Authoring Lineage

By: Bhanu Srikanth, Andy Swan, Casey Wilms, Patrick Pearson The Art of Dubbing and Subtitling Dubbing 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…

Netflix at AWS re:Invent 2019

AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! Please stop by our “Living Room” for an opportunity to connect or reconnect with Netflixers. We’ve compiled our speaking events below so you know…

How Netflix microservices tackle dataset pub-sub

Introduction In a microservice architecture such as Netflix’s, propagating datasets from a single source to multiple downstream destinations can be challenging. These datasets can represent anything from service configuration to the results of a batch job, are often needed in-memory to optimize access and must be updated as…

Auto Scaling Production Services on Titus

Over the past three years, Netflix has been investing in container technology. A large part of this investment has been around Titus, Netflix’s container management platform that was open sourced in April of 2018. Titus schedules application containers…

Applying Netflix DevOps Patterns to Windows

By Justin Phelps and Manuel Correa Customizing Windows images at Netflix was a manual, error-prone, and time consuming process. In this blog post, we describe how we improved the methodology, which technologies we leveraged, and how this has improved service deployment and consistency. Artisan Crafted Images In the Netflix…

Modernizing the Web Playback UI

Since 2013, the user experience of playing videos on the Netflix website has changed very little. During this period, teams at Netflix have rolled out amazing video playback features, but the visual design and user controls of the playback UI have remained the same. The visual design and user controls…

Streaming Video Experimentation at Netflix: Visualizing Practical and Statistical Significance

Streaming video experimentation at Netflix seeks to optimize the Quality of Experience (QoE for short) of the videos we stream to our 130 million members around the world. To measure QoE, we look at a wide variety of metrics for each playback session, including play delay; the…

Making our Android Studio Apps Reactive with UI Components & Redux

Recently Netflix has started building mobile apps to bring technology and innovation to our Studio Physical Productions, the portion of the business responsible for producing our TV shows and movies. Our very first mobile app is called Prodicle and was…

Python at Netflix

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…

Edge Authentication and Token-Agnostic Identity Propagation

As most developers can attest, dealing with security protocols and identity tokens, as well as user and device authentication, can be challenging. Imagine having multiple protocols, multiple tokens, 200M+ users…

Machine Learning for a Better Developer Experience

Imagine having to go through 2.5GB (not often, but does happen time to time) log entries from a failed software build — 3 million lines — to search for a bug or a regression that happened on line 1M. It’s probably not even doable manually! However…

How Netflix uses Druid for Real-time Insights to Ensure a High-Quality Experience

Ensuring a consistently great Netflix experience while continuously pushing innovative technology updates is no easy feat. How can we be confident that updates are not harming our users? And that we’re actually making measurable improvements when we intend to? Using real-time logs from playback devices as a…

Lessons from Building Observability Tools at Netflix

Lerner — using RL agents for test case scheduling

Introduction Netflix brings delightful customer experiences to homes on a variety of devices that continues to grow each day. Partners across the globe leverage Netflix device certification process on a continual basis to ensure that quality products and experiences are…

Scaling Revenue & Growth Tooling

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…