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.
Joe Armstrong presents ECC, an optimizing compiler running on LLVM for writing C compilers for unusual architectures, for implementing DSLs and for experiments with JIT compilation.
Jamie Ridgway explains what actors are, why we need them, what they are helpful for, the languages built around this programming paradigm, along with some demos showing actor-based apps.
Cliff Moon shows how to create a polyglot distributed application by integrating Scala with Erlang through JInterface, a library designed for JVM-based languages to communicate with Erlang processes.
Ulf Wiger advocates for a programming model change based on the actor model which more accurately reflects old human concurrency patterns that we have used in our daily lives for thousands of years.
Joe Armstrong and Robert Virding recall the events leading to Erlang and its later evolution. They mention the Prolog interpreter, JAM, VEE, Strand88, OTP, TEAM, BEAM, and other technologies.
Kresten Krab Thorup emphasizes existing problems with the Java concurrency model, explaining when to use Erjang, a JVM-based Erlang VM, built around the process and actor concepts.