InfoQ Homepage Conferences Content on InfoQ
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Reliability Engineering Matters, Except When It Doesn't
Michael Nygard shares essential Reliability Engineering techniques that can keep systems from falling apart, but the discipline has some limitations to be considered.
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AMQP and Windows Azure Service Bus
David Ingham previews the support provided by Windows Azure Service Bus for AMQP.
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Who Ever Said Programs Were Supposed to be Pretty?
Brian Foote wonders in this session if the quest for clean or beautiful code makes sense in a bottom-line obsessed business world.
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Keynote: Applying Design Thinking and Complexity Theory in Agile Organizations
Jean Tabaka discusses using design thinking and complexity theory in order to balance and Agile adoption.
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Webmachine: A Practical Executable Model for HTTP
Steve Vinoski introduces Webmachine, a toolkit for declaratively building well-behaved HTTP applications, making the job of dealing with HTTP simpler.
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What Techniques Can Design Researchers Learn from Insurance Claims Investigation?
Lyzbelle Strahan shares insurance claims investigation techniques useful for designing the interaction with users during product research.
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Spring Integration - Practical Tips and Tricks
Oleg Zhurakousky demoes performing transaction management, error handling, asynchronous processing, advanced aggregator configuration, etc. using Spring Integration and enterprise integration patterns
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Mono and C++ - Updates from the Interoperability World
Andreia Gaita introduces Cxxi, a Mono C# - C++ interoperability framework meant to make instantiating C++ objects, invoking methods, sub-classing classes and other similar operations easier.
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Akka: Reloaded
Josh Suereth presents the new features available in Akka 2.0: clustered actors, including stateless and stateful ones, replication and the Cluster API.
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How Socrates Would Design [Experiences]
Alişan Atvur shares methods for productively critiquing and improving UX designs, techniques for client buy-in for user research, and how to inspire others on the value of UX.
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Distributed Data Analysis with Hadoop and R
Jonathan Seidman and Ramesh Venkataramaiah present how they run R on Hadoop in order to perform distributed analysis on large data sets, including some alternatives to their solution.
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