Developing concurrent and/or distributed applications often involves choosing between productivity and scalability: do I use easy-to-understand paradigms that don?t provide maximal throughput, or do I create complex and fast code that?s difficult to understand and maintain? This session introduces Akka, which was designed to eliminate the need to make this choice by adopting the actor concurrency model found in other languages such as Erlang and bringing it to the JVM. It is designed to both scale up (by using multiple cores or CPUs on a single machine) and out (by distributing work among multiple VMs) and to support both via configuration and automatic VM clustering rather than code changes. It is also open source, under the Apache V2 license.
Viktor Klang, also known as √, is a passionate programmer with a taste for concurrency paradigms and performance optimization. Tech Lead for the Akka project at Typesafe.