The Netflix TechBlog

Packaging award-winning shows with award-winning technology

The Netflix TechBlog

By Cyril Concolato Introduction In previous blog posts, our colleagues at Netflix have explained how 4K video streams are optimized , how even legacy video streams are improved and more recently how new audio codecs can provide better aural experiences to our members.

Life of a Netflix Partner Engineer?—?The case of extra 40 ms

The Netflix TechBlog

Life of a Netflix Partner Engineer?—?The The case of the extra 40 ms By: John Blair , Netflix Partner Engineering The Netflix application runs on hundreds of smart TVs, streaming sticks and pay TV set top boxes.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Optimizing the Aural Experience on Android Devices with xHE-AAC

The Netflix TechBlog

By Phill Williams and Vijay Gondi 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.

Edge Authentication and Token-Agnostic Identity Propagation

The Netflix TechBlog

by AIM Team Members Karen Casella , Travis Nelson , Sunny Singh ; with prior art and contributions by Justin Ryan , Satyajit Thadeshwar As most developers can attest, dealing with security protocols and identity tokens, as well as user and device authentication, can be challenging.

Open Sourcing the Netflix Domain Graph Service Framework: GraphQL for Spring Boot

The Netflix TechBlog

By Paul Bakker and Kavitha Srinivasan , Images by David Simmer , Edited by Greg Burrell Netflix has developed a Domain Graph Service (DGS) framework and it is now open source. The DGS framework simplifies the implementation of GraphQL, both for standalone and federated GraphQL services.

Beyond REST

The Netflix TechBlog

Rapid Development with GraphQL Microservices by Dane Avilla The entertainment industry has struggled with COVID-19 restrictions impacting productions around the globe.

Hawkins: Diving into the Reasoning Behind our Design System

The Netflix TechBlog

Stranger Things imagery showcasing the inspiration for the Hawkins Design System by Hawkins team member Joshua Godi ; with art contributions by Wiki Chaves Hawkins may be the name of a fictional town in Indiana, most widely known as the backdrop for one of Netflix’s most popular TV series “Stranger Things,” but the name is so much more.

Design 178

Evolving Container Security With Linux User Namespaces

The Netflix TechBlog

By Fabio Kung , Sargun Dhillon , Andrew Spyker , Kyle , Rob Gulewich, Nabil Schear , Andrew Leung , Daniel Muino, and Manas Alekar As previously discussed on the Netflix Tech Blog, Titus is the Netflix container orchestration system.

Media 210

Optimizing data warehouse storage

The Netflix TechBlog

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes.

Keeping Netflix Reliable Using Prioritized Load Shedding

The Netflix TechBlog

How viewers are able to watch their favorite show on Netflix while the infrastructure self-recovers from a system failure By Manuel Correa , Arthur Gonigberg , and Daniel West Getting stuck in traffic is one of the most frustrating experiences for drivers around the world.

Supporting content decision makers with machine learning

The Netflix TechBlog

by Melody Dye *, Chaitanya Ekanadham *, Avneesh Saluja *, Ashish Rastogi * contributed equally Netflix is pioneering content creation at an unprecedented scale. Our catalog of thousands of films and series caters to 195M+ members in over 190 countries who span a broad and diverse range of tastes.

Building a Rule-Based Platform to Manage Netflix Membership SKUs at Scale

The Netflix TechBlog

By Budhaditya Das , Wallace Wang , and Scott Yao At Netflix, we aspire to entertain the world. From mailing DVDs in the US to a global streaming service with over 200 million subscribers across 190 countries, we have come a long way.

Mobile 142

Netflix Android and iOS Studio Apps?—?now powered by Kotlin Multiplatform

The Netflix TechBlog

Netflix Android and iOS Studio Apps?—?now now powered by Kotlin Multiplatform By David Henry & Mel Yahya Over the last few years Netflix has been developing a mobile app called Prodicle to innovate in the physical production of TV shows and movies. The world of physical production is fast-paced, and needs vary significantly between the country, region, and even from one production to the next.

Cache 220

Growth Engineering at Netflix- Creating a Scalable Offers Platform

The Netflix TechBlog

by Eric Eiswerth Background Netflix has been offering streaming video-on-demand (SVOD) for over 10 years. Throughout that time we’ve primarily relied on 3 plans (Basic, Standard, & Premium), combined with the 30-day free trial to drive global customer acquisition.

How Netflix Scales its API with GraphQL Federation (Part 1)

The Netflix TechBlog

Netflix is known for its loosely coupled and highly scalable microservice architecture. Independent services allow for evolving at different paces and scaling independently. Yet they add complexity for use cases that span multiple services.

Edgar: Solving Mysteries Faster with Observability

The Netflix TechBlog

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. by Elizabeth Carretto Everyone loves Unsolved Mysteries. There’s always someone who seems like the surefire culprit.

Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

How we migrated our Android endpoints out of a monolith into a new microservice by Rohan Dhruva , Ed Ballot As Android developers, we usually have the luxury of treating our backends as magic boxes running in the cloud, faithfully returning us JSON.

Analytics at Netflix: Who we are and what we do

The Netflix TechBlog

Analytics at Netflix: Who We Are and What We Do An Introduction to Analytics and Visualization Engineering at Netflix by Molly Jackman & Meghana Reddy Explained: Season 1 (Photo Credit: Netflix) Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making.

Growth Engineering at Netflix?—?Automated Imagery Generation

The Netflix TechBlog

Growth Engineering at Netflix?—?Automated Automated Imagery Generation by Eric Eiswerth Background There’s a good chance you’ve probably visited the Netflix homepage. In the Growth Engineering team, we refer to this as the top of the signup funnel.

Toward a Better Quality Metric for the Video Community

The Netflix TechBlog

by Zhi Li, Kyle Swanson, Christos Bampis, Lukáš Krasula and Anne Aaron Over the past few years, we have been striving to make VMAF a more usable tool not just for Netflix, but for the video community at large. This tech blog highlights our recent progress toward this goal.

Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

by Maulik Pandey Our Team?—? Kevin Lew , Narayanan Arunachalam , Elizabeth Carretto , Dustin Haffner , Andrei Ushakov, Seth Katz , Greg Burrell , Ram Vaithilingam , Mike Smith and Maulik Pandey “ @Netflixhelps Why doesn’t Tiger King play on my phone?”?—?a

Computational Causal Inference at Netflix

The Netflix TechBlog

Jeffrey Wong , Colin McFarland Every Netflix data scientist, whether their background is from biology, psychology, physics, economics, math, statistics, or biostatistics, has made meaningful contributions to the way Netflix analyzes causal effects.

Telltale: Netflix Application Monitoring Simplified

The Netflix TechBlog

By Andrei U., Seth Katz , Janak Ramachandran , Jeff Butsch , Peter Lau , Ram Vaithilingam , and Greg Burrell Our Telltale Vision An alert fires and you get paged in the middle of the night. A metric crossed a threshold.

How Our Paths Brought Us to Data and Netflix

The Netflix TechBlog

Part of our series on who works in Analytics at Netflix?—?and

Netflix at MIT CODE 2020

The Netflix TechBlog

Martin Tingley In November, Netflix was a proud sponsor of the 2020 Conference on Digital Experimentation (CODE), hosted by the MIT Initiative on the Digital Economy. As well as providing sponsorship, Netflix data scientists were active participants, with three contributions.

Code 159

Simple streaming telemetry

The Netflix TechBlog

Introducing gnmi-gateway: a modular, distributed, and highly available service for modern network telemetry via OpenConfig and gNMI By: Colin McIntosh, Michael Costello Netflix runs its own content delivery network, Open Connect , which delivers all streaming traffic to our members.

How Netflix Scales its API with GraphQL Federation (Part 2)

The Netflix TechBlog

In our previous post and QConPlus talk , we discussed GraphQL Federation as a solution for distributing our GraphQL schema and implementation. In this post, we shift our attention to what is needed to run a federated GraphQL platform successfully?—?from

Key Challenges with Quasi Experiments at Netflix

The Netflix TechBlog

Kamer Toker-Yildiz , Colin McFarland , Julia Glick At Netflix, when we can’t run A/B experiments we run quasi experiments !

Machine Learning for a Better Developer Experience

The Netflix TechBlog

Stanislav Kirdey , William High Imagine having to go through 2.5GB of log entries from a failed software build?—?3 3 million lines?—?to to search for a bug or a regression that happened on line 1M. It’s probably not even doable manually!

HDMI?—?Scaling Netflix Certification

The Netflix TechBlog

HDMI?—?Scaling Scaling Netflix Certification Scott Bolter , Matthew Lehman , Akshay Garg ¹ At Netflix, we take the task of preserving the creative vision of our content all the way to a subscriber TV screen very seriously.

Media 174

Improving our video encodes for legacy devices

The Netflix TechBlog

by Mariana Afonso , Anush Moorthy , Liwei Guo , Lishan Zhu , Anne Aaron Netflix has been one of the pioneers of streaming video-on-demand content?—?we we announced our intention to stream video over 13 years ago, in January 2007?—?and

Bulldozer: Batch Data Moving from Data Warehouse to Online Key-Value Stores

The Netflix TechBlog

By Tianlong Chen and Ioannis Papapanagiotou Netflix has more than 195 million subscribers that generate petabytes of data everyday.

Mythbusting the Analytics Journey

The Netflix TechBlog

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Alex Diamond This Q&A aims to mythbust some common misconceptions about succeeding in analytics at a big tech company. This isn’t your typical recruiting story.

Unbundling Data Science Workflows with Metaflow and AWS Step Functions

The Netflix TechBlog

by David Berg, Ravi Kiran Chirravuri, Romain Cledat, Jason Ge, Savin Goyal, Ferras Hamad, Ville Tuulos Continue reading on Netflix TechBlog ». infrastructure aws machine-learning

AWS 165

GraphQL Search Indexing

The Netflix TechBlog

by Artem Shtatnov and Ravi Srinivas Ranganathan Almost a year ago we described our learnings from adopting GraphQL on the Netflix Marketing Tech team. We have a lot more to share since then! There are plenty of existing resources describing how to express a search query in GraphQL and paginate the results. This post looks at the other side of search: how to index data and make it searchable.

Empowering the Visual Effects Community with the NetFX Platform

The Netflix TechBlog

The cloud-based platform allows vendors, artists and creators to connect and collaborate on visual effects (VFX) from anywhere in the… Continue reading on Netflix TechBlog ». visual-effects

Cloud 159

A Day in the Life of a Content Analytics Engineer

The Netflix TechBlog

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Rocio Ruelas Back when we were all working in offices, my favorite days were Monday, Wednesday, and Friday. Those were the days with the best hot breakfast, and I’ve always been a sucker for free food.

Byte Down: Making Netflix’s Data Infrastructure Cost-Effective

The Netflix TechBlog

By Torio Risianto, Bhargavi Reddy, Tanvi Sahni, Andrew Park Continue reading on Netflix TechBlog ». cloud-storage data data-infrastructure aws netflix

Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

By Benoit Rostykus, Gabriel Hartmann Noisy Neighbors We’ve all had noisy neighbors at one point in our life. Whether it’s at a cafe or through a wall of an apartment, it is always disruptive. The need for good manners in shared spaces turns out to be important not just for people, but for your Docker containers too. When you’re running in the cloud your containers are in a shared space; in particular they share the CPU’s memory hierarchy of the host instance.

Cache 218

Python at Netflix

The Netflix TechBlog

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-source Python packages, some of which are mentioned below.

Reimagining Experimentation Analysis at Netflix

The Netflix TechBlog

Toby Mao , Sri Sri Perangur , Colin McFarland Another day, another custom script to analyze an A/B test. Maybe you’ve done this before and have an old script lying around. If it’s new, it’s probably going to take some time to set up, right? Not at Netflix.

Open-sourcing Polynote: an IDE-inspired polyglot notebook

The Netflix TechBlog

Jeremy Smith , Jonathan Indig , Faisal Siddiqi We are pleased to announce the open-source launch of Polynote : a new, polyglot notebook with first-class Scala support, Apache Spark integration, multi-language interoperability including Scala, Python, and SQL, as-you-type autocomplete, and more. Polynote provides data scientists and machine learning researchers with a notebook environment that allows them the freedom to seamlessly integrate our JVM-based ML platform ?—?which

Engineering a Studio Quality Experience With High-Quality Audio at Netflix

The Netflix TechBlog

by Guillaume du Pontavice, Phill Williams and Kylee Peña (on behalf of our Streaming Algorithms, Audio Algorithms, and Creative Technologies teams) Remember the epic opening sequence of Stranger Things 2 ? The thrill of that car chase through Pittsburgh not only introduced a whole new set of mysteries, but it returned us to a beloved and dangerous world alongside Dustin, Lucas, Mike, Will and Eleven.