Jafar Husain, Matthew Podwysocki teach developers to think about events as collections, demonstrating some basic collection operations to express complex asynchronous programs as simple expressions.
Jafar Husain explains how Netflix uses reactive programming to build and consume REST endpoints, and how they work around the limitations of the HTTP protocol to create high-performance REST APIs.
Sudhir Tonse presents Netflix' composable PaaS built with several components that have been open sourced.
Xavier Amatriain discusses the machine learning algorithms and architecture behind Netflix' recommender systems, offline experiments and online A/B testing.
Dianne Marsh presents the open source tools used by Netflix to keep the continuous delivery wheels spinning.
Ben Christensen describes Netflix API's evolution to a web service platform serving all devices and users, the challenges met in operations, deployment, performance, fault-tolerance, and innovation.
Jeremy Edberg discusses how Netflix designs their systems in order to survive outages, network latency and random instance failure.
Jeff Magnusson details some of Netflix' key services: Franklin, Sting and Lipstick.
Ariel Tseitlin discusses Netflix' failure-based suite of tools, collectively called the Simian Army, used to improve resiliency and maintain the cloud environment.
Sid Anand uses examples from LinkedIn, Netflix, and eBay to discuss some common causes of outages and scaling issues. He also discusses modern practices in availability and scaling in web sites today.
Ben Christensen explains how Netflix optimizes server’s interaction with more than 800 client devices by creating customized concurrent service endpoints with RxJava and Hystrix.
Ben Christensen describes how Neflix has optimized their API using a functional reactive programming (modeled after Rx) in a polyglot Java stack.