Introducing SafeTest: A Novel Approach to Front End Testing
by Moshe Kolodny In this post, we’re excited to introduce SafeTest, a revolutionary library that offers a fresh perspective on End-To-End (E2E) tests for web-based User Interface (UI) applications. The Challenges of Traditional UI TestingTraditionally, UI tests have been conducted through either unit testing or integration testing (also referred to as End-To-End (E2E) testing). However, each of th
Keeping Customers Streaming — The Centralized Site Reliability Practice at Netflix
By Hank Jacobs, Senior Site Reliability Engineer on CORE 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 that people love and can enjoy anytime, anywhere. A key underpinning to keeping our customers happy and streaming is a strong focus on reliabil
Pseudo Localization @ Netflix
by Tim Brandall In the past 8 years Netflix has transformed from an English-only product, to now supporting 26 languages and growing. As we add language support for our members residing in 190 different countries, scaling globalization at Netflix has never been more important. Along the way we’ve built out countless solutions to help us achieve globalization at scale. In this article we’ll focus o
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
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 Security Monkey on Google Cloud Platform
Today we are happy to announce that Netflix Security Monkey has BETA support for tracking Google Cloud Platform (GCP) services. Initially we are providing support for the following GCP services: Firewall RulesNetworkingGoogle Cloud Storage Buckets (GCS)Service Accounts (IAM)This work was performed by a few incredible Googlers with the mission to take open source projects and add support for Google
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
Distributed Time Travel for Feature Generation
We want to make it easy for Netflix members to find great content to fulfill their unique tastes. To do this, we follow a data-driven algorithmic approach based on machine learning, which we have described in past posts and other publications. We aspire to a day when anyone can sit down, turn on Netflix, and the absolute best content for them will automatically start playing. While we are still wa
Automated Failure Testing
At Netflix, we have found that proactive failure testing is a great way to ensure that we have a reliable product for our members by helping us prepare our systems, and our teams, for the problems that arise in our production environment. Our various efforts in this space, some of which are manual, have helped us make it through the holiday season without incident (which is great if you’re on-call
Evolution of the Netflix Data Pipeline
Our new Keystone data pipeline went live in December of 2015. In this article, we talk about the evolution of Netflix’s data pipeline over the years. This is the first of a series of articles about the new Keystone data pipeline. Netflix is a data-driven company. Many business and product decisions are based on insights derived from data analysis. The charter of the data pipeline is to collect, ag
Falcor for Android
We’re happy to have open-sourced the Netflix Falcor library earlier this year. On Android, we wanted to make use of Falcor in our client app for its efficient model of data fetching as well as its inherent cache coherence. Falcor requires us to model data on both the client and the server in the same way (via a path query language). This provides the benefit that clients don’t need any translation
Introducing Lemur
Netflix is pleased to announce the open source release of our x.509 certificate orchestration framework: Lemur! The Challenge of Certificate ManagementPublic Key Infrastructure is a set of hardware, software, people, policies, and procedures needed to create, manage, distribute, use, store, and revoke digital certificates and manage public-key encryption. PKI allows for secure communication by est
The Netflix Dynamic Scripting Platform
by Sangeeta Narayanan Over the past couple of years, we have optimized the Netflix API with a view towards improving performance and increasing agility. In doing so, the API has evolved from a provider of RESTful web services to a platform that distributes development and deployment of new functionality across various teams within Netflix. At the core of the redesign is a Dynamic Scripting Platfor
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