InfoQ Homepage Distributed Programming Content on InfoQ
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Storm: Distributed and Fault-tolerant Real-time Computation
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.
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Concurrent and Distributed Applications with Spring
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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Being Elastic - Evolving Programming for the Cloud
Randy Shoup discusses the cloud programming model, covering topics such as state/statelessness, distribution, workload partitioning, cost and resource metering, automation, and deployment strategies.
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Global Software Delivery with Distributed Agile
Matthew Simons and Steven Boswell consider that distributed software development is a strategic capability for a company, presenting a framework and Agile practices for building such an environment.
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RPC and its Offspring: Convenient, Yet Fundamentally Flawed
Steve Vinoski covers the history of RPC, standardization, distributed objects, CORBA, DCOM, Java, SOAP, WS-*, flaws in RPC, REST vs RPC philosophy, Erlang reliability and concurrency.
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Erlang - software for a concurrent world
How do you program a multicore computer? Easy - do it in Erlang. Joe introduces Erlang, the ideas of Concurrent Oriented Programming and commercial applications written in Erlang.
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