Netflix leverages reactive system concepts to produce highly interactive and engaging User Interfaces. By using functional programming, Rx, and an intentional training method, they are able to ramp up their developers to produce reactive code quickly and with few bugs. Jafar explains how Netflix established this practice and gives a few pointers as to how your company can start its own.
Jessica Kerr explains the reasons to use Scala (best of FP and OOP worlds), scalaz, I/O and async programming with scalaz-stream, property-based testing with ScalaCheck, and much more.
Developer experience(DX) was one of the prime motivators for Web APIs in response to SOA. Now companies such as Apiary are focused on enhancing this experience and improving developer productivity by taking a page from the SOA book around automation through tooling. Jakub Nesetril explains the nuances of what constitutes good DX and how Web APIs need to be designed and implemented in this context.
Developer Evangelist Jon Gottfried of Twilio discusses the ins and outs of adding voice and SMS messages with Twilio's RESTful API. Learn about adding Twilio's telephony features like sending and receiving text messages to and from your mobile or web app.
Francesco Cesarini and Viktor Klang explain the motivation behind the Reactive Manifesto and what exactly it brings to the table. Also: what Erlang and Scala/Akka can learn from each other.
Cliff Click explains 0xdata's H20, a clustering and in-memory math and statistics solution (available for Hadoop and standalone), writing H20's memory representation and compression in Java, low latency Java vs GCs, and much more.
Andrew Betts, founder of FT labs, discusses emerging trends in mobile development using web technologies, the benefits of developing for the web over building native, the difficulties of dealing with browsers and tooling.
Dean Wampler explains Scalding and the other Hadoop support libraries, the return of SQL, how (big) data is the killer application for functional programming, Java 8 vs Scala, and much more.
Christian Legnitto describes FB's release process for mobile apps, how FB has no dedicated iOS or Android teams, A/B testing and the Play Beta program, tools used for the build process, and much more.
Xavier Amatriain discusses how Netflix uses specialized roles, including that of the Data Scientist and Machine Learning Engineer, to deliver valuable data at the right time to Netflix' customer base through a mixture of offline, online, and nearline data processes. Xavier also discusses what it takes to become a Machine Learning Engineer and how to gain real experience in the field.
Keith Adams explains how/where/why Facebook uses PHP, PHP's benefits (lack of state/programmer workflow/concurrency), efficient PHP with HHVM, the Hack project for optional typing PHP and much more.