InfoQ Homepage Programming Content on InfoQ
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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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Scaling out with Akka Actors
Joshua Suereth designs a scalable distributed search service with Akka and Scala using actors, and covering practical aspects of how to scale out with Akka’s clustering API.
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Lift-off with Groovy 2.1
Guillaume Laforge introduces some of the new features in Groovy 2.1: better Invoke Dynamic, DSL-related annotation, grouping annotations, compiler customization.
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Using Forked/Unreleased Grails Plug-ins
Jeff Beck discusses 3 ways of dealing with a large number of Grails plug-ins: checked-in plugin directory, inline plugins, and custom repository
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High Speed Smart Data Ingest into Hadoop
Oleg Zhurakousky discusses architectural tradeoffs and alternative implementations of real-time high speed data ingest into Hadoop.
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Orchestrating Tasks from the Cloud with Groovy and AWS SWF
Clay McCoy discusses using Groovy’s metaprogramming capabilities and AWS SWF to deal with unreliable remote services, parallelization, scheduling critical timers, and server failures.
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Asgard, the Grails App that Deploys Netflix to the Cloud
Joe Sondow presents how Netflix uses Asgard to deploy code updates and manage resources in the Amazon cloud.
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Taking the Long View: Code Generation and Software Maintenance
The panelists discuss if code generation techniques help or hinder long-term software maintenance, and how such techniques can be integrated in the maintenance process.
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Building Java HTML5/WebSocket Applications with JSR 356
Reza Rahman examines the efforts under way with JSR 356 to support WebSocket from its base-level integration in the Java Servlet and Java EE containers to a new API and toolset included in Java.
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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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Making the Internet a Better Place: Scaling AppNexus
Mike Nolet shares lessons learned scaling AppNexus and architectural details of their system processing 30TB/day: Hadoop, DNS built in GSLB and Keepalived, and real-time data streaming built in C.
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