Irina Guberman discusses maximizing throughput on multicore systems with Erlang and the Jobs framework by Ulf Wiger.
Joseph Blomstedt presents ongoing work to build a new set of high performance data structures for Erlang, including both single process data structures as well as various concurrent data structures.
Ransom Richardson presents the Talko service architecture, its implementation and operation in the cloud, why they are using Erlang for it and key things learned along the way.
Garrett Smith outlines a methodology for pattern discovery and presents a number of specific patterns that Erlang programmers can use to build programs that feel alive.
Simon Thompson shows how Wrangler can help with making systems run on multi-core hardware, including three Wrangler refactoring techniques for retrofitting concurrency to Erlang applications.
Daniel Pezely discusses the 10 fold performance increase of a Lisp and C system after rewriting it in Erlang, outlining where issues existed before and the design and implementation of the new system.
Carl Hewitt keynotes on the Actor Model and ActorScript, providing examples of using them for large-scale datacenters and IoT.
José Valim introduces Elixir and some of the most important features: data types, modules, async, collections, parallelism, streams, etc.
Christopher Meiklejohn looks at applying two techniques together, deterministic data flow programming and conflict-free replicated data types, to create highly available and fault-tolerant systems.
Anthony Molinaro discusses the challenges of troubleshooting distributed systems and using Mondemand to track down issues with various services in a distributed system.
Rick Reed shares scalability and reliability insights, techniques, and hacks used and learned developing WhatsApp on an Erlang/FreeBSD infrastructure.
Kresten Krab Thorup introduces Erjang, an Erlang VM based on the JVM, disclosing some of its internal workings and challenges building it.