InfoQ Homepage Microsoft Content on InfoQ
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Claims Based Authentication
Justin Kobel introduces claims-based authentication, what are claims, their life cycle, explaining how to consume them in .NET through a number of demoes.
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Online Controlled Experiments: Introduction, Insights, Scaling, and Humbling Statistics
Ronny Kohavi shares lessons learned, cultural and scaling challenges conducting hundreds of concurrent online controlled experiments at Bing.
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Curing Your Event Processing Blues with Rx
Donna Malayeri and Matthew Podwysocki discuss the JavaScript and .NET versions of Rx, as well as projects such as Rx.rb and RxCpp.
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Reasonable Code with F#
Mike Falanga shows several C# and F# solutions to common programming problems, comparing how well each language enhances the ability to draw accurate conclusions about the code.
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Demystifying .NET 4.5 Async
Mitchel Sellers introduces .NET 4.5 Async, showing how to use it by means of examples.
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The Evolution of Windows: WinRT
Raymond Chen tells the story of Windows’ API evolution from the beginning up to its latest version, WinRT.
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History of MonoGame
Dominique Louis covers the history of MonoGame from its roots in XNA and how the team ported it to 8 platforms. He demoes taking a simple 3D XNA sample from Windows to Android and Windows Phone 8.
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Modern Legacy Systems
Robert Annett explores some of the issues of upgrading, maintaining or replacing legacy Java and .NET applications that haven't been touched in a decade, providing advice on solving common problems.
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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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F# for Trading
Phil Trelford describes and demonstrates areas where F# excels, such as domain modeling, computation and concurrency.
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Functional DSLs for Biocomputation
Colin Gravill talks about how using F# to construct a shared analysis engine and the languages used to make the individual tools.
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Reverend Bayes, Meet Countess Lovelace: Machine Learning and Programming
Andy Gordon discusses machine learning using functional programming, explaining how Infer.NET Fun turns the succinct syntax of F# into an executable modeling language for Bayesian machine learning.
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