Titus, the Netflix container management platform, is now open source
by Amit Joshi, Andrew Leung, Corin Dwyer, Fabio Kung, Sargun Dhillon, Tomasz Bak, Andrew Spyker, Tim Bozarth Today, we are open-sourcing Titus, our container management platform. Titus powers critical aspects of the Netflix business, from video streaming, recommendations and machine learning, big data, content encoding, studio technology, internal engineering tools, and other Netflix workloads. Ti
Automation as a Service — Introducing Scriptflask
Authors : Fazal Allanabanda and Vilas Veeraraghavan IntroductionLess than a year ago, we shared our testing wins and the challenges that lie ahead while testing High Impact Titles (HITs) globally. All this while ensuring the pace of innovation at Netflix does not slow down. Since then, we have made significant enhancements to our automation. So in this post, we wanted to talk about our evolution s
Introducing Bolt
Last August we introduced Winston, our event driven diagnostic and remediation platform. Winston helps orchestrate diagnostic and remediation actions from the outside. As part of that orchestration, there are multiple actions that need to be performed at an AWS instance(vm) level to collect data or take mitigation steps. We would like to discuss a supporting service called Bolt that helps with ins
Spring Cloud Netflixを使おう #jsug
This document discusses using Spring Cloud Netflix to connect microservices. It covers: - An overview of Netflix and Spring Cloud - How to use Spring Cloud Netflix libraries like Eureka, Ribbon and Hystrix to implement service discovery, load balancing and fault tolerance between microservices - Demos of creating Eureka service registry and registering producer/consumer servicesRead less
Spring Cloud Netflixを読んだ
Springが、Netflixが公開している彼らのOSS群を説明している記事を読みました。ちょっと、記憶に止めておきたい内容を探っているのでそのメモがてら。 記事: http://cloud.spring.io/spring-cloud-netflix/spring-cloud-netflix.html これは、Netflixのmicroservicesを構成するツール群を説明していました。 Service Discovery Eureka Clients Circuit Breaker Hystrix Intelligent Routing Zuul Client Side Load Balancing Ribbon Service Discovery: Eureka Clients Service Discoveryはmicsoservicesベースのアーキテクチャとして大事な要素 C
マイクロサービスにおける障害と Failurewall - Qiita
こちらは Scala Advent Calendar 2015 25日目の記事です。 Scalist の皆さん、一年間お疲れさまでした。 当記事の目的はマイクロサービス(に限らないですが)における失敗の怖さについて説明することと、それを克服するためのライブラリ、Failurewall を紹介することです。 障害は怖い 障害の連鎖 現代的な Web アプリケーションは多くの依存を抱えています。MySQL のようなデータベースに依存することもあれば、Twitter API のような外部サービスに依存することもあるでしょう。マイクロサービスを実践している環境では社内 Web API に依存していたり、あるいは他のシステムが自分のシステムに依存していたりするかもしれません。 このように優秀なミドルウェアや Web API を組み合わせることで、アプリケーションは高い性能を発揮したり、豊かな機能を提
GitHub - Netflix/Hystrix: Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure
Hystrix is no longer in active development, and is currently in maintenance mode. Hystrix (at version 1.5.18) is stable enough to meet the needs of Netflix for our existing applications. Meanwhile, our focus has shifted towards more adaptive implementations that react to an application’s real time performance rather than pre-configured settings (for example, through adaptive concurrency limits). F
FIT: Failure Injection Testing – Netflix TechBlog – Medium
by Kolton Andrus, Naresh Gopalani, Ben Schmaus It’s no secret that at Netflix we enjoy deliberately breaking things to test our production systems. Doing so lets us validate our assumptions and prove that our mechanisms for handling failure will work when called upon. Netflix has a tradition of implementing a range of tools that create failure, and it is our pleasure to introduce you to the latest
Prana: A Sidecar for your Netflix PaaS based Applications and Services
“The Right Tool for the Right Job” It’s hard to argue against this time tested mantra. At Netflix, an overwhelming part of our applications and services have traditionally been implemented in Java. As our services and products evolved, we asked ourselves if Java was still the right choice for implementing these services/applications. While it’s still true that for most of our microservices Java is
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