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…

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…

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…

The End of Video Coding?

In the IEEE Signal Processing Magazine issue November 2006 article “Future of Video Coding and Transmission” Prof. Edward Delp started by asking the panelists “Is video coding dead? Some feel that, with the higher coding efficiency of the H.264/MPEG-4 . . . perhaps there is not much more to do…

Growth Engineering at Netflix — Accelerating Innovation

Millions of people visit Netflix every day. Many of them are already Netflix members, looking to enjoy their favorite movies and TV shows, and we work hard to ensure they have a great experience. Others are not yet members, and are looking to better understand our service…

Netflix Studio Engineering Overview

Netflix is revolutionizing the way a modern studio operates. Our mission in Studio Engineering is to build a unified, global, and digital studio that powers the effective production of amazing content. Studio Engineering at Netflix …

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…

Open Sourcing Mantis: A Platform For Building Cost-Effective, Realtime, Operations-Focused…

Today we’re excited to announce that we’re open sourcing Mantis, a platform that helps Netflix engineers better understand the behavior of their applications to ensure the highest quality experience for our members. We…

Netflix Drive

Written by Vikram Krishnamurthy, Kishore Kasi, Abhishek Kapatkar, Tejas Chopra, Prudhviraj Karumanchi, Kelsey Francis, Shailesh Birari In this post, we are introducing Netflix Drive, a Cloud drive for media assets and providing a high level overview of some of its features and interfaces. We intend this to be a first…

Keystone Real-time Stream Processing Platform

A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

Source credit: Netflix Within the rapid expansion of data-related roles in the last decade, the title Data Scientist has emerged as an umbrella term for myriad skills and areas of business focus. What does this title mean within a given company, or even within a given industry…

Netflix Now Streaming AV1 on Android

Today we are excited to announce that Netflix has started streaming AV1 to our Android mobile app. AV1 is a high performance, royalty-free video codec that provides 20% improved compression efficiency over our VP9† encodes. AV1 is made…

Engineering to Improve Marketing Effectiveness (Part 3) — Scaling Paid Media campaigns

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

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. For the longest time, Netflix had three plans (basic/standard/premium)…

DBLog: A Generic Change-Data-Capture Framework

Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. CDC is becoming increasingly popular for use cases that require keeping multiple heterogeneous datastores in sync (like MySQL and ElasticSearch) and addresses challenges that exist with traditional…

Achieving observability in async workflows

Managing and operating asynchronous workflows can be difficult without the proper tools and architecture that puts observability, debugging, and tracing at the forefront. Imagine getting paged outside normal work hours — users are having trouble with the application you’re responsible for…

MezzFS — Mounting object storage in Netflix’s media processing platform

MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. It’s used extensively in our media processing platform, which includes services like Archer and runs features like…

Metacat: Making Big Data Discoverable and Meaningful at Netflix

Most large companies have numerous data sources with different data formats and large data volumes. These data stores are accessed and analyzed by many people throughout the enterprise. At Netflix, our data warehouse consists of a large number of data sets stored in Amazon S3…

Optimized shot-based encodes for 4K: Now streaming!

Netflix has an ever-expanding collection of titles which customers can enjoy in 4K resolution with a suitable device and subscription plan. Netflix creates premium bitstreams for those titles in addition to the catalog-wide 8-bit stream profiles¹. Premium features comprise a…

Telltale: Netflix Application Monitoring Simplified

Our Telltale Vision An alert fires and you get paged in the middle of the night. A metric crossed a threshold. You’re half awake and wondering, “Is there really a problem or is this just an alert…

My (Seemingly) Random Walk to Netflix

By Sean Barnes, Studio Production Data Science & Engineering I am going to tell you a story about a person that works for Netflix. That person grew up dreaming of working in the entertainment industry. They attended the University of Southern California, double majored in data science and television &…

Predictive CPU isolation of containers at Netflix

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. …

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question — “Can I run a check myself to understand what data is behind…

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

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. Our framework is battle-hardened by our…

Remote Workstations for the Discerning Artists

Netflix is poised to become the world’s most prolific producer of visual effects and original animated content. To meet that demand, we need to attract the world’s best artistic talent. Artists like to work at places where they can create groundbreaking entertainment instead of worrying about getting…