Presentation: "Akka: Simpler Scalability, Fault-Tolerance, Concurrency & Remoting through Actors"

We believe that writing correct concurrent, fault-tolerant and scalable applications is too hard. Most of the time it's because we are using the wrong tools and the wrong level of abstraction. Akka is here to change that. Akka is using the Actor Model together with Software Transactional Memory (STM) to raise the abstraction level and provide a better platform to build correct concurrent and scalable applications. For fault-tolerance it adopts the "Let it crash" model which have been used with great success in the Telecom industry to build applications that self-heals, systems that never stop. Akka's Remote Actors, backed by a scalable non-blocking IO implementation, provides the abstraction for transparent distribution and the basis for truly scalable and fault-tolerant applications. In this talk you will learn what Akka is, how it can be used to solve hard problems and the ideas behind its design and implementation. Akka is available at http://akkasource.org/
 
Keywords: Scalability, Fault-Tolerance, High-Availability, Distributed Computing, Java, Scala, Actors, STM, Concurrency, Event-Driven Programming, Life-saver
 
Target audience: Developers that are tired of working late solving hard concurrency and calability problems, wants to find a better way of doing things, get
things done and go home to their family and friends.

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Jonas Bonér, Specialist at Large. Founder of Akka and AspectWerkz

Jonas Bonér

Biography: Jonas Bonér

Jonas Bonér is a programmer, teacher, mentor, speaker and author who spends most of his time consulting, hacking on open source as well as lecturing and speaking at developer conferences world-wide. He has worked at Terracotta, the JRockit JVM at BEA and is an active contributor to the Open Source community; most notably created the Akka Project, AspectWerkz Aspect-Oriented Programming (AOP) framework, committer to the Terracotta JVM clustering technology and been part of the Eclipse AspectJ team.
 
Software passion: Concurrency. Distributed Computing. Teaching
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