InfoQ Homepage Architecture Content on InfoQ
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Taking Scala into the Enterprise
Peter Pilgrim introduces Scala to advancing beginners: getting the most out of Scala, working with popular Java frameworks, the build tools and some of the new features of Scala 2.10.
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Consumerization - What Does It Mean to a Developer?
Chris Swan discusses user experience for banking and financial mobile applications, architectures, and the frameworks and containers that ease the way to secure deployment into production.
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Functional Reactive Programming in the Netflix API
Ben Christensen explains how Netflix optimizes server’s interaction with more than 800 client devices by creating customized concurrent service endpoints with RxJava and Hystrix.
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Equity – Transparent and Live Risk Assessment
Tormod Varhaugvik provides a design and rationale for an In Memory and Big Data architecture for live equity and risk assessment, using Tax Norway’ new architecture as an example.
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Why MDA Fails: Analysis of Unsuccessful Cases
Darius Silingas reviews multiple real-world MDA cases by presenting the problems faced, analyzing what went wrong, and suggesting how to address similar issues in your projects and organizations.
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Lessons Learned Building Storm
Nathan Marz shares lessons learned building Storm, an open-source, distributed, real-time computation system.
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Designing for Engagement
Jaimee Newberry shares considerations in on-boarding, designing and copywriting to help apps become more fun, delightful and engaging experiences for users.
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Building Applications using Apache Hadoop
Eli Collins overviews how to build new applications with Hadoop and how to integrate Hadoop with existing applications, providing an update on the state of Hadoop ecosystem, frameworks and APIs.
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Shuttle Service Bus
Eben Roux introduces messaging using a service bus, explaining the differences between WCF, web services and a service bus, and demoes how Shuttle handles messages.
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Systems that Run Forever Self-heal and Scale
Joe Armstrong outlines the architectural principles needed for building scalable fault-tolerant systems built from small isolated parallel components which communicate though well-defined protocols.
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Copious Data, the "Killer App" for Functional Programming
Dean Wampler supports using Functional Programming and its core operations to process large amounts of data, explaining why Java’s dominance in Hadoop is harming Big Data’s progress.
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RabbitMQ and .NET with EasyNetQ
Mike Hadlow explains why RabbitMQ makes a compelling solution for building scalable systems, overviewing its exchange-binding-queue routing topology and showing how to build messaging patterns with it
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