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.
Ryan Trinkle explores functional techniques for managing complexity, examines what makes them successful in pure functional programming, and proposes ways that they can be applied in any context.
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.
Crista Lopes demos writing the same program using multiple styles, showcasing the richness of human computational thought and the need to avoid being stuck with one or two styles for life.
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.
Keran McKenzie takes a look at internationally successful developer programs looking at what developers love and hate, to show how to create, deliver and maintain an API community.
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.
Detlef Vollmann explores the performance and scalability issues of atomic
Chris Richardson describes how to implement business logic using a domain model that is based on event sourcing. He compares and contrasts a hybrid OO/FP design with a purely functional approach.
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.
Benjamin Augustin takes the practical approach of a complex API to explain how RxJava and Functional Reactive Programming (FRP) can be used on every project to make one's life easier.