Jonas Bonér and Kresten Krab Thorup on Bringing Erlang's Fault Tolerance and Distribution to Java with Akka and Erjang
Jonas Bonér and Kresten Krab Thorup discuss some key aspects of Erlang like fault tolerance and reliability and how the Akka and Erjang projects try to bring them to the JVM.
Larva is a runtime monitoring system that uses AspectJ to weave monitoring into Java code and can check the correctness of the program using an FSM; Elarva is an Erlang version of the tool.
Terracotta creator Ari Zilka talks about about the RAM is the new disk and argues for scaling up before scaling out, comparing the architectural approaches of lots of VMs with small heaps vs. a few JVMs with very large heaps. Ari introduces BigMemory, a Java add-on to Enterprise Ehcache, which allows app designs with huge amounts of memory accessible in-process, with minimal garbage collection.
Cliff Click discusses the Pauseless GC algorithm and how Azul's Zing implements it on plain x86 CPUs. Also: what keeps dynamic languages slow on the JVM, invokedynamic, concurrency and much more.
Jon Brisbin discusses his experience with Virtualization and reasons why companies would use Private Clouds, eg. regulation compliance. Also: the future role of operations, monitoring, and more.
Ulf Wiger explains the origins of some of Erlang's core principles and how they're even more relevant today. Also: a look at the strengths of Erlang, Clojure and Haskell.
John Leach explains how Brightbox uses Virtualization in the data center and whether Virtualization causes performance problems. Also: a look at a few Unix tools and Linux features that Ruby developers might not know about.
Jon Travis explains Hyperic HQU as well as Spring Insight, a tool for monitoring Java web apps, how it uses AspectJ to instrument Java code, how to use it to find performance problems and more.
Kresten Krab Thorup talks about the Erjang project and explains the challenges of bringing Erlang to the JVM, using Kilim for lightweight processes, the implementation of tail recursion and much more.
In this interview from SpringOne 2009, Javier Soltero discusses the challenges of managing a complex Java application, the Hyperic toolset, out-of-the-box versus developer-built application management/monitoring hooks, the effect of both the SpringSource and the VMWare acquisition on Hyperic development, and the result of combining SpringSource and VMWare's offerings.
Billy Newport talks to InfoQ about the need for higher level abstraction to do parallel programming with multi-core systems effectively. The interview explores some approaches taken with MapReduce products such as Cascading and Pig for a Hadoop cluster, explores the limitations of the actor model and message passing, and touches on IBM's WebSphere eXtreme Scale (ObjectGrid) product.
Adam Wiggins explains the experience with building Heroku on top of Amazon EC2, the pros and cons of virtualization, and the importance of automation.
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