Gregory Collins talks about Snap, a high performance web framework for Haskell, where it fits in the web framework spectrum, the Iteratee I/O model, Haskell performance and much more.
Francesco Cesarini and Simon Thompson discuss how Erlang's design allows fault tolerance and resilience, modular error handling, details of the actor model implementation and distributed programming.
In this interview Joe Armstrong and Robert Virding, co-inventors of the Erlang language, talk about the future of the language, including its use in web programming, its ability to scale and more. The duo also discuss Erlang support for NoSQL databases, running the language on the Java Virtual Machine (JVM) and comparisons with other languages such as Google’s Go.
Debasish Gosh talks about Domain Specific Languages: how to build DSLs with Scala or XText, real world DSLs, parser combinators and monads. Also: how Akka brings actor-based programming to the JVM.
Rob Pike discusses Google Go: OOP programming without classes, Go interfaces, Concurrency with Goroutines and Channels, and the Go features that help keep GC pauses short.
Rob Pike discusses concurrency in programming languages: CSP, channels, the role of coroutines, Plan 9, MapReduce and Sawzall, processes vs threads in Unix, and more programming language history.
Cliff Click discusses the Pauseless GC algorithm and how Azul's Zing implements it on plain x86 CPUs. Also: what keeps dynamic languages slow on the JVM, invokedynamic, concurrency and much more.
Venkat Subramaniam talks about the characteristics of JVM languages like Groovy, JRuby and Scala, and their applicability in enterprise applications. He also mentions several implementation details and finishes by addressing issues of lifelong learning for developers.
Dean Wampler discusses the state of Scala: the big changes in 2.8, the Scala on .NET, concurrency and parallelism with Scala and Akka, and experiences with adoption of functional languages.
Paul King discusses the state of Groovy and its maturing ecosystem which includes IDE support, static analysis tools, testing frameworks and the GPars library for concurrency.
Emil Eifrem explains graph databases, what domains they fit well, and the state of Neo4j. Also: how graph databases stack up against RDBMs.