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.
Joe Armstrong describes the foundations of fault tolerant computation and the basic properties a system should have in order to be able to function in an adequate manner despite the occurrence of hardware and software errors, summarizing the key features of Erlang and showing how they can be used for programming fault-tolerant and scalable systems on multi-core clusters.
Joe Armstrong discusses how fault tolerance relates to scalability and concurrency, and how Erlang helps build fault-tolerant systems on multi-core clusters.
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.
Robert Virding describes how Erlang was developed to solve the concurrency and reliability requirements of telecommunications, dealing with challenges that are similar with those of cloud computing.
Bodil Stokke keynotes on the FP languages for writing bug free, fault tolerant code that help building simple, concurrent and reusable software.
The panelists discuss the future of the JVM in the context of parallelism and high concurrency of tomorrow’s thousands of cores.
Ben Christensen explains how Netflix optimizes server’s interaction with more than 800 client devices by creating customized concurrent service endpoints with RxJava and Hystrix.
Saul Mora discusses using some of the patterns from the Design Pattern book today, and applying patterns in a multicore world.
Victor Grazi presents the functionality of the components in the java.util.concurrent library through a series of animations implemented with the respective concurrent methods.
Jeremy Cloud discusses SOA at Twitter, approaches taken for maintaining high levels of concurrency, and briefly touches on some functional design patterns used to manage code complexity.