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46:17

Sweet Elixir! A Gentle Introduction to Erlang’s Cute Younger Brother Elixir

Posted by Ryan Cromwell  on  Oct 12, 2014

Ryan Cromwell introduces Elixir, a , functional distributed meta programming language inspired by Ruby and compiling to Erlang VM, covering pattern matching, pipelines and tail-call recursion.

41:55

Real World Akka Recipes

Posted by Jamie Allen  on  May 01, 2014 4

Jamie Allen describes three patterns using Akka actors: handling a lack of guaranteed delivery, distributing tasks to worker actors and implementing distributed workers in an Akka cluster.

01:03:55

Going Reactive: New and Old Ideas for Your 21st Century Architectures

Posted by Jonas Bonér, Francesco Cesarini  on  Apr 12, 2014

Jonas Bonér, Francesco Cesarini discuss the evolution of distributed concurrent thinking along with the problems it has to solve and the toolchains created along the way.

42:06

Pickles & Spores: Improving Distributed Prog. in Scala

Posted by Heather Miller  on  Jan 23, 2014

Heather Miller presents attempts at better supporting distributed programming in Scala, including a new fast pickling framework designed for Scala, as well as Spores - composable pieces of mobile functional behaviour.

46:49

Data & Infrastructure at Airbnb

Posted by Brenden Matthews  on  Dec 31, 2013

Brenden Matthews describes the infrastructure built at Airbnb using Mesos in order to support Hadoop and Storm.

44:03

Lessons Learned Building Storm

Posted by Nathan Marz  on  Aug 11, 2013 2

Nathan Marz shares lessons learned building Storm, an open-source, distributed, real-time computation system.

Storm: Distributed and Fault-Tolerant Real-time Computation

Posted by Nathan Marz  on  Jan 04, 2013

Nathan Marz introduces Twitter Storm, outlining its architecture and use cases, and takes a look at future features to be made available.

Clojure + Datomic + Storm = Zolodeck

Posted by Amit Rathore  on  Dec 04, 2012

Amit Rathore describes the architecture of Zolodeck, a virtual relationship manager built on Clojure, Datomic, and Storm.

MapReduce and Its Discontents

Posted by Dean Wampler  on  Oct 05, 2012 1

Dean Wampler discusses the strengths and weaknesses of MapReduce, and the newer variants for big data processing: Pregel and Storm.

Storm: Distributed and Fault-tolerant Real-time Computation

Posted by Nathan Marz  on  Jul 25, 2012

Nathan Marz discusses Storm concepts –streams, spouts, bolts, topologies-, explaining how to use Storms’ Clojure DSL for real-time stream processing, distributed RPS and continuous computations.

Storm: Distributed and Fault-tolerant Real-time Computation

Posted by Nathan Marz  on  Oct 21, 2011 1

Nathan Marz explain Storm, a distributed fault-tolerant and real-time computational system currently used by Twitter to keep statistics on user clicks for every URL and domain.

Concurrent and Distributed Applications with Spring

Posted by David Syer and Mark Fisher  on  Mar 29, 2011 6

David Syer and Mark Fisher on using Spring to develop concurrent and distributed apps, covering topics such as: asynchronous execution, intra-process, inter-process and inter-JVM communication.

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