Adam Ernst talks about how functional programming and immutable data structures have made Facebook’s iOS app much easier to test and debug. By decoupling the data pipeline from the UI objects, and minimising the wrk on the UI thread, the application has become easier to test and suffers less bugs than when the UI was generated procedurally.
Yoni Goldberg explains Gilt's architecture which consists of 350+ microservices, how teams decide the scope of a microservice, API design and management, monitoring, Scala at Gilt and much more.
Aviran Mordo explains the service oriented architecture behind web hoster WiX, when to choose MySQL vs NoSQL products, introducing Scala, and much more.
Nathan Marz explains the ideas behind the Lambda Architecture and how it combines the strengths of both batch and realtime processing as well as immutability. Also: Storm, Clojure, and much more.
William Byrd explains the ideas behind logic programming languages (like Prolog) and relational programming. Also: miniKanren and core.logic, program synthesis, and much more.
Timothy Baldridge explains the concepts behind Clojure's core.async, the programming model, the macro implementation, using core.async in Clojure and ClojureScript and much more.
Deepak Giridharagopal explains the config management and automation tool Puppet, the concept of Immutable Deployments, and how Puppet DB (written in Clojure) allows to monitor and query systems managed with Puppet. Also: why PuppetDB is written in Clojure.
Felix Klock II explains concepts of the Rust language: the concurrency model, the type system, allocation and ownership models, the macro system, its style of FP and OOP, and much more.
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.
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.
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.