Darach Ennis explains the lessons learned from the Complex Event Processing community, reactive programming, the challenges of messaging on mobile platforms, OOP vs Functional and much more.
Sven Efftinge talks with Alex Blewitt at EclipseCon 2013 in Boston about Xtend, a Java-compatible language which, and Xtext, a general DSL and IDE editor framework. Read on to find out more.
Ben Christensen explains how Netflix manages to stay online even with millions of users, the Hystrix fault tolerance library, how Netflix discovered reactive programming and why it ported Rx to Java.
Tomas Petricek explains F# and some of its features like Type Providers, pits F# Computation Expressions vs Monads, and highlights issues teaching functional programming to developers, and much more.
Duncan Coutts on Parallelism and Concurrency with Haskell, Distributed Programming with Cloud Haskell
Duncan Coutts explains the nature of Concurrency and Parallelism in Haskell, its threading and STM implementation, Erlang OTP's influence on CloudHaskell for distributed programming, Monads, and more.
Sadek talks about the origins of Playframework, motivations behind 2.0 rewrite and Scala integration. He explains how important is it to have appropriate architecture and programming model while dealing with Realtime. He then reveals some features of the newly released 2.1 version.
Stuart Williams explains vert.x: basic idea and architecture, how it uses Java's NIO and async APIs, how it allows using various JVM languages (Groovy, JRuby, Scala, etc), the EventBus and much more.
Bob Lee explains the popularity of Java, future language features like Lambdas, DI with Guice vs. the Dagger framework, the role of Java vs. Ruby at Square, hiring at Square, security and much more.
Erik Meijer explains the various aspects needed to categorise data stores, how reactive programming fits in with databases, the return to data transformation, denotational semantics, and much more.
Debasish Ghosh talks about the advantages of functional programming and how its abstractions help to reason about code, Monads, DSLs, NoSQL and MongoDB, and much more.
Ken Little talks about scaling Tumblr to keep up with their blogging users: scaling the data model, sharding, their PHP frontend and the Scala backend, and much more.