Brennan Saeta talks about aspects of Coursera’s architecture that enable them to rapidly build sophisticated features for their learning platform, the use of containers and security-related issues.
Runar Bjarnason presents how to get started with the Scalaz-Stream library, shows some examples, and how we can combine functional streams into large distributed systems.
Richard Dallaway shows an example of what Scala looks like when using pattern matching over classes, how to encode an idea into types and use advanced features of Scala without complicating the code.
Tom Henricksen covers Design Patterns in Groovy, compilation configuration, mixing Java and Groovy, and calling other languages from Groovy. He shows how to call Scala and Clojure from Groovy.
Jessica Kerr covers some of the concurrency tools existing in JVM languages including ExecutorService, Futures, Akka actors, and core.async coroutines, providing advice on writing deadlock-free code.
The panelists discuss the Scala compiler fork (typelevel.org): Is this a positive and natural outgrowth of a growing language or will this development cause irreparable rifts in the Scala community?
Peter Pilgrim presents the experience of adopting Scala in the digital enterprise. He provides technical and development advice to agile teams new to implementing Scala.
Chris Richardson discusses an event-driven microservice architecture, it’s benefits and drawbacks and how Spring Boot can help, implementing business logic using domain models written in Scala.
Sean Owen introduces Spark, Scala and random decision forests, and demonstrates the process of analyzing a real-world data set with them.
Elasticity is a key component in reactive systems and James Ward navigates the different characteristics of different implementations of this concept: Akka, Scala, RxJava, and more.
Jonathan Bell & Gail Kaiser introduce Phosphor, a dynamic taint tracking system for the JVM, describing the approach used to achieve portable taint tracking.
Marius Eriksen explains Twitter's experiences with functional programming (with Scala) @ Twitter: where functional techniques worked and where not. Also: how the Scala language has scaled with Twitter