Martin Thompson discusses the major steps in the evolution of Java and how it contrasts to alternative technologies, and the challenges of pushing the limits of performance.
Andreas Olofsson reviews the history of processors and outlines some of the challenges ahead, introducing project Parallella meant to speed up the transition to massively parallel computing.
Viktor Klang discusses approaches to writing software without building a complex, full of bugs and hard to maintain basecode.
Lance Walton shares the experience of a small team building a trading platform in 6 weeks in Scala and Lift while fighting against an opposing organizational culture.
Simon Marlow describes a concurrency-based system built with Haskell that allows front-end programmers to write business logic to access all the back-end services in a concise and consistent way.
Deepak Giridharagopal discusses "immutable infrastructure", PuppetDB and complex invariants, PuppetDB’s architecture, the experience of bringing Clojure to a Ruby shop and lessons learned from that.
Simon Willnauer introduces and demoes some of the main features of Elasticsearch.
Jonas Bonér, Francesco Cesarini discuss the evolution of distributed concurrent thinking along with the problems it has to solve and the toolchains created along the way.
Erik Hinton discusses the successes and failures of making a cultural shift in the newsroom at NYT to accept Haskell and some of the projects Haskell has been used for.
Bodil Stokke attempts to answer why some meritorious technologies fade away while others end up dominating the software landscape, and suggests what can be done to fix that.
Tim Williams describes one of the world's largest commercial Haskell deployments (Barclays) and shares some experiences and insights gained using Haskell to build domain specific languages.
Andrew Crump shows how to deploy and scale applications written in a variety of languages (including Clojure and Erlang) to Cloud Foundry.