Jesper Louis Andersen presents a case study of a BitTorrent client written in Haskell based on reusable patterns, drawing conclusions on what is great and not so great in Haskell and comparing it with a similar Erlang client.
Ram C Singh discusses using Big Data for infrastructure telemetry along with good practices and an autonomic engine to create an autonomic computing infrastructure that might prevent downtime.
Steve Vinoski introduces Erlang’s OTP Frmework, outlining some of its main features, including several behaviors – implementations of common patterns useful for concurrent fault-tolerant applications.
Bryan Hunter introduces Erlang, comparing various language features with C#’s, emphasizing what it is good for and doing a demo.
Kresten Krab Thorup discusses cloud, multi-core, integration, high availability, and imperfect software starting from discoveries made while learning Erlang.
Steve Vinoski believes that actor-oriented languages such as Erlang are better prepared for the challenges of the future: cloud, multicore, high availability and fault tolerance.
Cliff Moon discusses Scalang, a message passing and actor library enabling easy communication between Scala and Erlang apps, wrapping services in Scalang actors.
Joe Armstrong discusses highly available (HA) systems, introducing different types of HA systems and data, HA architecture and algorithms, 6 rules of HA, and how HA is done with Erlang.
Steve Vinoski explains how to avoid some of the Erlang errors that can bring down a system starting from the premise that not all the crashes are welcome as the “Let It Crash” philosophy might suggest.
Sean Lynch and Matt Ingenthron introduce Membase, detailing how they added clustering features in Erlang, what they built and what lessons they leaned along the way.
Robert Virding discusses conversational web services and how Erlang can provide the necessary tools to write 2-way conversational applications using WebSockets.