InfoQ Homepage Java Content on InfoQ
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Java vs. C/C++ Performance Panel
Hosted by Erik Meijer, who runs the Cloud Programmability Team at Microsoft, the panelists answer questions on C/C++ and Java performance, contrasting the virtues of native vs. managed code.
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Scale Effects and other Stories
Crista Lopes discusses if scale affects the internal structure of projects and whether the popularity of libraries is correlated with internal software metrics such as bug density.
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Troubleshooting Live Java Web Applications
Ashley Puls methods and tools that can be used to uncover and resolve performance problems arising in Java web applications that use the Spring Framework.
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Grails-Powered HTML RIAs
Brian Kotek advises on creating RIA applications in Grails using an array of technologies, including JavaScript, CoffeeScript, TypeScript, ExtJS, Dojo, REST, JSON, GSON, GORM, etc.
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An API for Distributed Computing
Cliff Click introduces a coding style & API for in-memory analytics that handles datasets from 1K to 1TB without changing a line of code and clusters with TB of RAM and hundreds of CPUs.
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Spring Scala
Ramnivas Laddad and Arjen Poutsma discuss the Spring Scala project and its features, demoing a real REST-based application with a Spring and Scala backend and AngularJS frontend.
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Spring on Java 8
Juergen Hoeller outlines several Java 8 features within Spring's programming model and explores the impact on application architectures.
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Becoming Productive Groovy/Grails and Spring Developer with IntelliJ IDEA
Andrey Cheptsov explores some of the IntelliJ IDEA’s tricky features helping Groovy&Grails developers to be more productive.
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Building APIs with Grails
Bobby Warner discusses the features available in Grails 2.3 to build RESTful APIs.
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How Developers Can Treat Ovarian Cancer
Mridula Jayaraman shares from her experience developing a next generation sequencing solution used to customize cancer treatment based on patient's genetic makeup.
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Enabling Java in Latency Sensitive Environments
Gil Tene examines the core issues that have historically kept Java environments from performing well in low latency environments and how it can perform now without trade-offs and compromises.
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When Code Reacts to Data
Jessica Kerr introduces a different way of thinking about I/O, delaying all side-effects to the end, illustrating manipulating code as data, and at the same time letting data influence the code.
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