InfoQ Homepage Programming Content on InfoQ
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What's New in Spring Framework 3.1?
Jurgen Holler reviews Spring 3.0, he previews Spring 3.1, planned to have its first milestone release in late November 2010, and he takes a sneak preview at Spring 3.2 supposed to support Java 7.
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Rod Johnson SpringOne 2GX Keynote
Rod Johnson talks on the future of Spring: making Spring the de-facto Java programming model for the cloud starting with Code2Cloud, an integrated desktop-cloud development environment.
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Extending Spring Integration
Josh Long and Oleg Zhurakousky demo Spring Integration, and explain how it can be customized to create routers, transformers, splitters and aggregators for scenarios it does not already cover.
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The Private Cloud: Amazon, Google, ... and You!
Jon Brisbin tells how his company created a private cloud based on vSphere, tcServer, RabbitMQ, and REST, underlining the advantages brought by virtualization, parallelism, and asynchronicity.
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Making Your Open Source Project More Like Rails
Yehuda Katz presents the evolution of the Ruby on Rails project, the challenges it had to overcome and what are the lessons that could be helpful in making other open source projects successful.
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Android Squared
Bob Lee and Eric Burke present Square, a card reader used to receive payments through an Android device, presenting a point-of-sale API, and a library for persistence and REST communication.
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Fast Enough
Cliff Moon explains how to make Erlang programs faster by writing performance critical sections of the code in C using NIFs and by integrating libraries using the linked-in driver interface.
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The Counterintuitive Web
Ian Robinson: the web is counterintuitive because clients are interested only in URIs and they are responsible for requests’ sequence, and one should use protocol resources , not domain resources.
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Computation Abstraction: Going Beyond Programming Language Glue
Sadek Drobi talks about abstracting the control syntax (glue) in mainstream and FP languages: Null, propagating errors, events, lists, streams, channels, functors, monads, and custom abstractions.
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Functional Design Patterns
Aino Vonge Corry reviews a number of well known design patterns showing that their implementation is simpler in functional languages because such languages have pattern-based constructs.
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Parallel Programming with Node.js
Ryan Dahl presents Node.js, what it is and how to program against it by exemplifying with code samples, and shows how to do highly scalable parallel programming with event-based processes.
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Functional Approaches To Parallelism and Concurrency
Don Syme on functional languages features, showing why and when they are useful for parallel programming: simplicity, composability, immutability, lightweight reaction, translations, data parallelism.
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