Netflix Dev Feed

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Apache Flink

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Patterns

ContinueDec 14

Our First Netflix Data Engineering Summit

Holden Karau Elizabeth Stone Pedro Duarte Chris Stephens Pallavi Phadnis Lee Woodridge Mark Cho Guil Pires Sujay Jain Tristan Reid Senthilnathan Athinarayanan Bharath Mummadisetty Abhinaya Shetty…

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Fig+3 moreNov 29

All of Netflix’s HDR video streaming is now dynamically optimized

High dynamic range (HDR) video brings a wider range of luminance and a wider gamut of colors, paving the way for a stunning viewing experience. Separately, our invention of Dynamically Optimized (DO)…

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AnswerNov 27

Netflix Original Research: MIT CODE 2023

Netflix was thrilled to be the premier sponsor for the 2nd year in a row at the 2023 Conference on Digital Experimentation (CODE@MIT) in Cambridge, MA. The conference features a balanced blend of…

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Linear+8 moreNov 25

Causal Machine Learning for Creative Insights

At Netflix, we want our viewers to easily find TV shows and movies that resonate and engage. Our creative team helps make this happen by designing promotional artwork that best represents each title…

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SQL

Presto+14 moreNov 21

Incremental Processing using Netflix Maestro and Apache Iceberg

Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead…

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Zero+1 moreNov 15

Psyberg: Automated end to end catch up

This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. In the previous installments of this series, we introduced Psyberg and…

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Tables+2 moreNov 15

Diving Deeper into Psyberg: Stateless vs Stateful Data Processing

In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework…

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Simple+5 moreNov 15

Streamlining Membership Data Engineering at Netflix with Psyberg

At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make…

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STUDIO+5 moreNov 14

Detecting Speech and Music in Audio Content

When you enjoy the latest season of Stranger Things or Casa de Papel (Money Heist), have you ever wondered about the secrets to fantastic story-telling, besides the stunning visual presentation? From…

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ContinueNov 8

The Next Step in Personalization: Dynamic Sizzles

At Netflix, we strive to give our members an excellent personalized experience, helping them make the most successful and satisfying selections from our thousands of titles. We already personalize…

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Node.js+15 moreAug 29

Zero Configuration Service Mesh with On-Demand Cluster Discovery

Netflix’s service mesh adoption: history, motivations, and how we worked with the Envoy community on a streamlining service mesh adoption in complex microservice environments

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AVA

Thematic

DID

Simple

Reflect+9 moreAug 17

AVA Discovery View: Surfacing Authentic Moments

AVA Discovery view is an assistant created for Creatives at Netflix helping them to choose the best and most relevant frames to form the basis of their promotional assets. The assistant is powered by Netflix's machine learning and computer vision algorithms

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HTTP/2+13 moreAug 16

Curbing Connection Churn in Zuul

When Zuul was designed and developed, there was an inherent assumption that connections were effectively free, given we weren’t using mutual TLS (mTLS). It’s built on top of Netty, using event loops…

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DID

Reflect+7 moreJun 20

Detecting Scene Changes in Audiovisual Content

When watching a movie or an episode of a TV show, we experience a cohesive narrative that unfolds before us, often without giving much thought to the underlying structure that makes it all possible…

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Android SDK+13 moreJun 14

Migrating Netflix to GraphQL Safely

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…

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Parity+2 moreJun 13

Migrating Critical Traffic At Scale with No Downtime — Part 2

Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. Behind these perfect moments of entertainment…

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SubsetJun 12

Escrow Buddy: An open-source tool from Netflix for remediation of missing FileVault keys in MDM

To be a client systems engineer is to take joy in small endpoint automations that make your fellow employees’ day a little better. When somebody is unable to log into their FileVault-encrypted Mac…

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PortJun 5

Native Frame Rate Playback

Maximizing immersion for our members is an important goal for the Netflix product and engineering teams to keep our members entertained and fully engaged in our content. Leveraging a good mix of…

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Lumen+6 moreJun 1

Ensuring the Successful Launch of Ads on Netflix

Netflix used replay traffic to simulate the projected load of its new Basic with ads tier before launch. By mimicking member viewing behavior and incorporating abrupt regional shifts, they tested new ad systems and algorithms at scale.

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GitHub+10 moreMay 19

Debugging a FUSE deadlock in the Linux kernel

The Compute team at Netflix is charged with managing all AWS and containerized workloads at Netflix, including autoscaling, deployment of containers, issue remediation, etc. As part of this team, I…

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Requests+10 moreMay 19

ABAC on SpiceDB: Enabling Netflix’s Complex Identity Types

The authorization team at Netflix recently sponsored work to add Attribute Based Access Control (ABAC) support to AuthZed’s open source Google Zanzibar inspired authorization system, SpiceDB. Netflix…

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Compiled+1 moreMay 4

Migrating Critical Traffic At Scale with No Downtime — Part 1

Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. Behind the scenes, a myriad of systems and services are involved in…

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CounterApr 27

Improved Alerting with Atlas Streaming Eval

Engineers want their alerting system to be realtime, reliable, and actionable. While actionability is subjective and may vary by use-case, reliability is non-negotiable. In other words, false…

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gRPC+11 moreMar 14

Building a Media Understanding Platform for ML Innovations

Netflix leverages machine learning to create the best media for our members. Earlier we shared the details of one of these algorithms, introduced how our platform team is evolving the media-specific…

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Python+12 moreDec 4

Ready-to-go sample data pipelines with Dataflow

This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post…

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Temporal+1 moreNov 17

For your eyes only: improving Netflix video quality with neural networks

When you are binge-watching the latest season of Stranger Things or Ozark, we strive to deliver the best possible video quality to your eyes. To do so, we continuously push the boundaries of…

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Reflect+5 moreNov 17

Match Cutting at Netflix: Finding Cuts with Smooth Visual Transitions

A modular and flexible ML-based system for efficiently finding high-quality match cut candidates starting from millions of shot pairs.

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Simple+2 moreNov 15

Helping VFX studios pave a path to the cloud

By: Peter Cioni (Netflix), Alex Schworer (Netflix), Mac Moore (Conductor Tech.), Rachel Kelley (AWS), Ranjit Raju (AWS) VFX studios around the world create amazing imagery for Netflix productions…

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refineNov 11

New Series: Creating Media with Machine Learning

By Vi Iyengar, Keila Fong, Hossein Taghavi, Andy Yao, Kelli Griggs, Boris Chen, Cristina Segalin, Apurva Kansara, Grace Tang, Billur Engin, Amir Ziai, James Ray, Jonathan Solorzano-Hamilton Welcome…

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Scope+2 moreNov 11

Machine Learning for Fraud Detection in Streaming Services

Streaming services serve content to millions of users all over the world. These services allow users to stream or download content across a broad category of devices including mobile phones, laptops…

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DID+4 moreNov 9

Seeing through hardware counters: a journey to threefold performance increase

In one of our previous blogposts, A Microscope on Microservices we outlined three broad domains of observability (or “levels of magnification,” as we referred to them) — Fleet-wide, Microservice and…

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FoundationDB+8 moreNov 3

Consistent caching mechanism in Titus Gateway

Titus is the Netflix cloud container runtime that runs and manages containers at scale. In the time since it was first presented as an advanced Mesos framework, Titus has transparently evolved from…

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Java+13 moreOct 18

Orchestrating Data/ML Workflows at Scale With Netflix Maestro

At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data…

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DID

HEY

MagicOct 12

How Product Teams Can Build Empathy Through Experimentation

Note: I’ve known George for a little while now, and as we’ve talked a lot about the philosophy of experimentation, he kindly invited me to their office (virtually) for their virtual speaker series…

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Lua

Apache Flink+8 moreSep 28

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of our media encoding platform, Cosmos. Over the past 2.5 years, its usage has increased…

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TemporalAug 24

Reinforcement Learning for Budget Constrained Recommendations

This writeup is about using reinforcement learning to construct an optimal list of recommendations when the user has a finite time budget to make a decision from the list of recommendations. Working…

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Git

Shortcut+3 moreAug 10

Virtual Production — A Validation Framework For Unreal Engine

The use of virtual production and real time technologies in film & tv has accelerated in recent years. Game engines, such as Unreal Engine, have been a major part driving the democratization of advanced in-camera visual effects (ICVFX). But with infinite configuration and setting combinations, how can a production get it right?

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Cassandra+10 moreAug 1

Data Mesh — A Data Movement and Processing Platform @ Netflix

Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users. Our previous…

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TablesJul 21

Formulating ‘Out of Memory Kill’ Prediction on the Netflix App as a Machine Learning Problem

by Aryan Mehra with Farnaz Karimdady Sharifabad, Prasanna Vijayanathan, Chaïna Wade, Vishal Sharma and Mike Schassberger The purpose of this article is to give insights into analyzing and predicting…

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Percolate+6 moreJun 15

How Netflix Content Engineering makes a federated graph searchable (Part 2)

In a previous post, we described the indexing architecture of Studio Search and how we scaled the architecture by building a config-driven self-service platform that allowed teams in Content…

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RelateJun 6

Scaling Appsec at Netflix (Part 2)

The Application Security teams at Netflix are responsible for securing the software footprint that we create to run the Netflix product, the Netflix studio, and the business. Our customers are…

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Simple

RowsMay 21

A Survey of Causal Inference Applications at Netflix

If you are on a personal connection, like at home, you can run an anti-virus scan on your device to make sure it is not infected with malware.

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DID+7 moreApr 26

Evolution of ML Fact Store

If you are on a personal connection, like at home, you can run an anti-virus scan on your device to make sure it is not infected with malware.

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YAML+11 moreApr 12

How Netflix Content Engineering makes a federated graph searchable

Over the past few years Content Engineering at Netflix has been transitioning many of its services to use a federated GraphQL platform. GraphQL federation enables domain teams to independently build…

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Mantis+8 moreFeb 18

Rapid Event Notification System at Netflix

This blog post gives an overview of the Rapid Event Notification System at Netflix and shares some of the learnings gained while building it

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Scala+17 moreFeb 9

Data pipeline asset management with Dataflow

The problem of managing scheduled workflows and their assets is as old as the use of cron daemon in early Unix operating systems. The design of a cron job is simple, you take some system command, you…

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ScheduleFeb 1

Demystifying Interviewing for Backend Engineers @ Netflix

Interviewing can be a daunting endeavor and how companies, and teams, approach the process varies greatly. We hope that by demystifying the process, you will feel more informed and confident about…

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EvidenceJan 25

Netflix: A Culture of Learning

Martin Tingley with Wenjing Zheng, Simon Ejdemyr, Stephanie Lane, Colin McFarland, Mihir Tendulkar, and Travis Brooks Earlier posts in this series covered the why, what and how of A/B testing, all of…

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Collect+4 moreJan 24

Fixing Performance Regressions Before they Happen

Netflix is used by 222 million members and runs on over 1700 device types ranging from state-of-the-art smart TVs to low-cost mobile devices. At Netflix we’re proud of our reliability and we want to…

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Presto+5 moreJan 14

Auto-Diagnosis and Remediation in Netflix Data Platform

We have been working on an auto-diagnosis and remediation system called Pensive in the Netflix Data Platform to address failed workloads in our production environment, avoiding interruptions that could slow down our teams.

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Metaflow+5 moreJan 11

Experimentation is a major focus of Data Science across Netflix

Martin Tingley with Wenjing Zheng, Simon Ejdemyr, Stephanie Lane, Colin McFarland, Andy Rhines, Sophia Liu, Mihir Tendulkar, Kevin Mercurio, Veronica Hannan, Ting-Po Lee Experimentation and causal…

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Apache Drill+5 moreDec 8

Snaring the Bad Folks

Cloud security is a hard problem, but an even harder one is cloud security at scale. In recent years we’ve seen several cloud focused data breaches and evidence shows that threat actors are becoming…

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Notion

Ramp

EvidenceNov 15

Building confidence in a decision

Martin Tingley with Wenjing Zheng, Simon Ejdemyr, Stephanie Lane, Michael Lindon, and Colin McFarland This is the fifth post in a multi-part series on how Netflix uses A/B tests to inform decisions…

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VLC+1 moreNov 9

Bringing AV1 Streaming to Netflix Members’ TVs

AV1 is the first high-efficiency video codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources…

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ArticleNov 2

Netflix Video Quality at Scale with Cosmos Microservices

Measuring video quality at scale is an essential component of the Netflix streaming pipeline. Perceptual quality measurements are used to drive video encoding optimizations, perform video codec…

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STUDIOOct 28

Data Engineers of Netflix — Interview with Pallavi Phadnis

This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer…

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React+4 moreOct 27

Open-Sourcing a Monitoring GUI for Metaflow

tl;dr Today, we are open-sourcing a long-awaited GUI for Metaflow. The Metaflow GUI allows data scientists to monitor their workflows in real-time, track experiments, and see detailed logs and…

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Simple

Collect

LINEOct 26

Interpreting A/B test results: false negatives and power

This is the fourth post in a multi-part series on how Netflix uses A/B tests to inform decisions and continuously innovate on our products. Need to catch up? Have a look at Part 1 (Decision Making at…

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Rust+12 moreOct 14

Revisiting BetterTLS: Certificate Path Building

Last year the AddTrust root certificate expired and lots of clients had a bad time. Some Roku devices weren’t working right, Heroku had problems, and some folks couldn’t even curl. In the aftermath…

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Replicate+1 moreOct 14

CAMBI, a banding artifact detector

The post describes banding artifacts, when do they appear in video encoding, and our solution to reliably detect them in scenarios relevant to streaming (range of resolutions, qualities, and bit-depths, type of content, ...). The blogpost release was coordinated with open-sourcing the CAMBI code as part of libvmaf.

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Spinnaker+4 moreOct 7

Safe Updates of Client Applications at Netflix

Quality of a client application is of paramount importance to global digital products, as it is the primary way customers interact with a brand. At Netflix, we have significant investments in…

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DID

Simple

LINE

Mapped

EvidenceOct 7

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

This is the third post in a multi-part series on how Netflix uses A/B tests to inform decisions and continuously innovate on our products. Need to catch up? Have a look at Part 1 (Decision Making at…

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Webpack+6 moreSep 28

How We Build Micro Frontends With Lattice

Lattice is a tiny framework that provides an abstraction layer for React web applications to leverage micro frontends and remote federated modules.

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DID+4 moreSep 24

Netflix Cloud Packaging in the Terabyte Era

Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing…

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DID

GuardRails+1 moreSep 22

What is an A/B Test?

This is the second post in a multi-part series on how Netflix uses A/B tests to inform decisions and continuously innovate on our products. See here for Part 1: Decision Making at Netflix. Subsequent…

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ScheduleSep 15

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

In our previous post, we discussed how we utilize FieldMask as a solution when designing our APIs so that consumers can request the data they need when fetched via gRPC. In this blog post we will…

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Git

Zuul+11 moreSep 13

The Show Must Go On: Securing Netflix Studios At Scale

In 2017, Netflix Studios was hitting an inflection point from a period of merely rapid growth to the sort of explosive growth that throws “how do we scale?”

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Evidence

ControlSep 7

Decision Making at Netflix

This introduction is the first in a multi-part series on how Netflix uses A/B tests to make decisions that continuously improve our products, so we can deliver more joy and satisfaction to our…

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gRPC+7 moreSep 3

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

At Netflix, we heavily use gRPC for the purpose of backend to backend communication. This post explains how Protobuf FieldMask helps us design robust APIs.

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Spring Boot+14 moreAug 30

Towards a Reliable Device Management Platform

At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the…

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Elasticsearch+15 moreJul 26

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 Over the next few years, most content on Netflix will come from Netflix’s own…

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DistributedJul 15

Data Engineers of Netflix — Interview with Kevin Wylie

This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin Wylie is a Data Engineer on the Content…

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Redis+13 moreJun 25

Exploring Data @ Netflix

Supporting a rapidly growing base of engineers of varied backgrounds using different data stores can be challenging in any organization. Netflix’s internal teams strive to provide leverage by…

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JSON

Microsoft Excel

NutshellJun 22

Introducing Netflix Timed Text Authoring Lineage

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…

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Druid+5 moreJun 7

How Netflix uses eBPF flow logs at scale for network insight

Netflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time. At much less than 1% of CPU and memory on the instance…

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Scala

TranslateJun 2

Data Engineers of Netflix — Interview with Dhevi Rajendran

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. Dhevi Rajendran is a Data Engineer on…

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SAM

Tables+1 moreJun 2

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…

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DID

LINE+2 moreMay 28

My (Seemingly) Random Walk to Netflix

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…

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Objective-C+13 moreMay 14

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…

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macOS+8 moreMay 5

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…

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Kotlin+6 moreMar 22

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.

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XML

GraphQL

Snowflake

Zoom

Conductor+5 moreMar 13

Production Media Management: Transforming Media Workflows by leveraging the Cloud

Written by Anton Margoline, Avinash Dathathri, Devang Shah and Murthy Parthasarathi. Credit to Netflix Studio’s Product, Design, Content Hub Engineering teams along with all of the supporting partner…

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Amazon DynamoDB+10 moreMar 10

ConsoleMe: A Central Control Plane for AWS Permissions and Access

ConsoleMe is a central control plane for AWS that provides an easier way to manage AWS permissions and access across multiple accounts. It encourages least-privilege access and AWS permissions.

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Spring Boot+8 moreMar 8

Remote Workstations for the Discerning Artists

Netflix is poised to become the world’s most prolific producer of visual effects and original animated content. Netflix Workstations are remote workstations that allow content creators to get to work wherever they are.

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DID

Rollout+2 moreMar 3

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

We discuss a day in the life of experimentation and causal inference data scientists at Netflix - their backgrounds, what they do here, and how Netflix contributes to their career growth.

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Simple+5 moreMar 1

The Netflix Cosmos Platform

Cosmos is a computing platform that combines the best aspects of microservices with asynchronous workflows and serverless functions. Its sweet spot is applications that involve resource-intensive…

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Crown

LINEFeb 26

Packaging award-winning shows with award-winning technology

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…

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GraphQL+11 moreFeb 25

Beyond REST

A case study in successful rapid application development using the Graphile GraphQL library as a backend instead of a traditional REST API.

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Git

Expose+2 moreFeb 16

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…

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Receptive+8 moreFeb 10

Hawkins: Diving into the Reasoning Behind our Design System

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. Hawkins is the…

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XML

JSON

Render

DB

SimpleFeb 9

Growth Engineering at Netflix- Creating a Scalable Offers Platform

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…

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Render+2 moreFeb 9

Growth Engineering at Netflix — Automated Imagery Generation

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. For more background on the signup funnel and…

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Scope+3 moreFeb 9

Edge Authentication and Token-Agnostic Identity Propagation

Learn how Netflix moved the complex handling of user and device authentication, and various security protocols and tokens. to the edge of the network, managed by a set of centralized services and how we changed end-to-end identity propagation to use a cryptographically-verifiable token-agnostic identity object.

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Java+6 moreFeb 3

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…

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DB

Crown+1 moreJan 22

Optimizing the Aural Experience on Android Devices with xHE-AAC

Technical information about how Netflix uses Android APIs and xHE-AAC metadata, especially MPEG-D DRC, to optimize the listening experience.

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Ubuntu+7 moreDec 23

Evolving Container Security With Linux User Namespaces

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…

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Spring Boot+4 moreDec 21

Optimizing data warehouse storage

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. At this scale, we can gain a significant amount…

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Python

Tableau

DID

STUDIODec 18

Mythbusting the Analytics Journey

In the third in the Netflix analytics series, Alex helps mythbust some common misconceptions about succeeding in analytics at a big tech company.

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ArticleDec 16

Netflix at MIT CODE 2020

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…

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LINE+1 moreDec 14

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

A narrative description of tracking down a difficult bug which broke Netflix playback on a certain Android TV device.

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Objective-C+18 moreDec 11

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

Part 2 of how Netflix uses GraphQL Federation for its API. Discusses the migration, core infrastructure, DevEx, observability, security and resiliency.

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LinearDec 10

Supporting content decision makers with machine learning

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…

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ReflectDec 7

Toward a Better Quality Metric for the Video Community

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…

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Vim

Git+13 moreNov 23

Simple streaming telemetry

Netflix runs its own content delivery network, Open Connect, which delivers all streaming traffic to our members. A backbone network underlies a large portion of the CDN, and we also run the high…

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STUDIO+1 moreNov 9

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

Learn how Netflix uses GraphQL federation for its API architecture, offering clients a unified API and backend devs flexibility and service isolation.

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Objective-C

Android SDK

iOS

ZuulNov 2

Keeping Netflix Reliable Using Prioritized Load Shedding

Getting stuck in traffic is one of the most frustrating experiences for drivers around the world. Everyone slows to a crawl, sometimes for a minor issue or sometimes for no reason at all. As…

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monday.com+2 moreOct 30

A Day in the Life of a Content Analytics Engineer

In the second in the analytics branding series, Rocio shares her perspective of the projects, technical skills, and day-to-day of working in the Content analytics and metrics research space.

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iOS

STUDIO+8 moreOct 29

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

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…

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Google Sheets+8 moreOct 27

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

Netflix has more than 195 million subscribers that generate petabytes of data everyday. Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics…

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Rails+13 moreOct 19

Building Netflix’s Distributed Tracing Infrastructure

Our Team — Kevin Lew, Narayanan Arunachalam, Elizabeth Carretto, Dustin Haffner, Andrei Ushakov, Seth Katz, Greg Burrell, Ram Vaithilingam, Mike Smith and Maulik Pandey This is an example of a…

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TranslateSep 18

How Our Paths Brought Us to Data and Netflix

This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie…

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Power BISep 18

Analytics at Netflix: Who we are and what we do

Over the coming months we’ll be sharing stories from our analytics colleagues. To help set the stage, this first post explains what Netflix analytics entails.

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Objective-C+18 moreSep 8

Seamlessly Swapping the API backend of the Netflix Android app

As Android developers, we usually have the luxury of treating our backends as magic boxes running in the cloud, faithfully returning us JSON. At Netflix, we have adopted the Backend for Frontend…

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Bandwidth

Scope

ReflectSep 4

HDMI — Scaling Netflix Certification

A proper HDMI implementation is critical to Netflix application functionality on Set-top-box devices. This article talks about how we scale the certification of critical HDMI components on a device through novel automation workflows.

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DID

STUDIO+2 moreSep 2

Edgar: Solving Mysteries Faster with Observability

Everyone loves Unsolved Mysteries. There’s always someone who seems like the surefire culprit. There’s a clear motive, the perfect opportunity, and an incriminating footprint left behind. Yet, this…

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Julia

DID

Simple

LinearSep 1

Key Challenges with Quasi Experiments at Netflix

At Netflix, when we can’t run A/B experiments we run quasi experiments! We run quasi experiments with various objectives such as non-member experiments focusing on acquisition, member experiments…

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BandwidthAug 28

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…

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Relax+2 moreAug 14

Telltale: Netflix Application Monitoring Simplified

The Telltale application health model yields intelligent monitoring and intelligent alerting. Netflix service owners get alerts they can trust with little configuration and no need for constant tuning. When health problems strike, Telltale presents only the most relevant context and suggests possible causes.

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LinearAug 11

Computational Causal Inference at Netflix

Computational causal inference brings a software implementation focus to causal inference.

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BandwidthAug 10

Improving our video encodes for legacy devices

At Netflix, we strive to continuously improve the quality and reliability of our service. In this tech blog, we present how we made improvements towards optimizing our video encodes for legacy devices with limited decoder support.

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Google Analytics+23 moreJul 29

Unbundling Data Science Workflows with Metaflow and AWS Step Functions

by David Berg, Ravi Kiran Chirravuri, Romain Cledat, Jason Ge, Savin Goyal, Ferras Hamad, Ville Tuulos tl;dr Today, we are releasing a new job scheduler integration with AWS Step Functions. This…

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DID

LinearJul 21

Machine Learning for a Better Developer Experience

We’ve developed a hundred line Python code where a search for the five most semantically similar items to any user supplied search term against a body of 100, 1k, and 10k documents takes around 5ms

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XML+13 moreJul 17

Empowering the Visual Effects Community with the NetFX Platform

At Netflix, we want to entertain our global membership with series and films from around the world. In line with that, we’re excited to announce NetFX, a cloud-based platform that will make it easier…

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Algolia+29 moreJul 8

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

At Netflix, we invest heavily in our data infrastructure which is composed of dozens of data platforms, hundreds of data producers and consumers, and petabytes of data. At many other organizations…

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STUDIO

CrownJun 30

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.

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BandwidthMay 27

Keeping Customers Streaming — The Centralized Site Reliability Practice at Netflix

We’re privileged to be in the business of bringing joy to our customers at Netflix. Whether it’s a compelling new series or an innovative product feature, we strive to provide a best-in-class service…

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DID

SimpleMay 26

Hyper Scale VPC Flow Logs enrichment to provide Network Insight

The Cloud Network Infrastructure that Netflix utilizes today is a large distributed ecosystem that consists of specialized functional tiers and services such as DirectConnect, VPC Peering, Transit…

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ArticleApr 21

How Netflix brings safer and faster streaming experience to the living room on crowded networks…

At Netflix, we are obsessed with the best streaming experiences. We want playback to start instantly and to never stop unexpectedly in any network environment. We are also committed to protecting…

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ArticleApr 2

Bringing 4K and HDR to Anime at Netflix with Sol Levante

We wanted to elevate the technical quality of anime’s visuals. The resulting short, Sol Levante, is now available for streaming on Netflix in 4K Dolby Vision and Atmos!

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AroundMar 13

SVT-AV1: an open-source AV1 encoder and decoder

SVT-AV1 is an open-source AV1 codec implementation hosted on GitHub https://github.com/OpenVisualCloud/SVT-AV1/ under a BSD + patent license. As mentioned in our earlier blog post, Intel and Netflix…

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Across

Kind

AroundMar 10

Ready for changes with Hexagonal Architecture

A story on how we leveraged Hexagonal Architecture principles to be prepared for changes in the Netflix Studio ecosystem.

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AcrossMar 5

Introducing Dispatch

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 manage…

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AcrossMar 5

Open-Sourcing riskquant, a library for quantifying risk

Netflix has a program in our Information Security department for quantifying the risk of deliberate (attacker-driven) and accidental losses. This program started on the Detection Engineering team…

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DruidMar 3

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…

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KindFeb 14

Essential Suite — Artwork Producer Assistant

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…

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Around

AcrossFeb 13

AVIF for Next-Generation Image Coding

We need an alternative to JPEG that a) is widely supported, b) has better compression efficiency and c) has a wider feature set. We believe AV1 Image File Format (AVIF) has the potential. Using the…

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Android SDKFeb 5

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…

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Kind

AcrossDec 17

DBLog: A Generic Change-Data-Capture Framework

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…

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AcrossDec 10

Netflix Hack Day — November 2019

Hack Day at Netflix is a time to experiment with new ideas/technologies, engage with colleagues across different disciplines, and have fun!

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BD

BenjaminSenior Software Engineerat

NetflixsharedJun 6

I use JavaScript because it is important to understand the fundamentals of any language you are using. jQuery was a revolutionary JS library for making DOM access and manipulation easier, but native APIs have been implemented that make it just as easy to do without a library.

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