InfoQ Homepage Development Content on InfoQ
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GORM Inside and Out
Jeff Scott Brown introduces GORM, a super powerful ORM tool that makes ORM simple by leveraging the flexibility and expressiveness of a dynamic language like Groovy.
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Advanced Groovy Tips and Tricks
Ken Kousen examines features of Groovy that can make life easier when going beyond the initial adoption stage.
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Distributed Platform Development with Groovy
Dan Woods discusses the approach to developing a scalable enterprise architecture, and demonstrates implementations based on the variety of technologies available from the Groovy ecosystem.
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Functional Programming on the Front-end with Facebook React
Dustin Getz,Daniel Miladinov demonstrate using Facebook React to build a CRUD editor, highlighting React's application of functional programming and immutability to manage complex application state.
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Programming and Testing a Distributed Database
Reid Draper shows how real world distributed database work, communicate and are tested, trading RPC for messaging, unit-tests for QuickCheck, and micro-benchmarks for multi-week stress tests.
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Using a Graph Database for JVM Heap Analysis
James Richardson, Nat Pryce discuss some of the challenges faced using Neo4J for interactive analysis of large data imports (80K nodes, 150k relationships) and how they overcame them.
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Look, No Mocks! Functional TDD with F#
Mark Seemann uses F# to demonstrate how to use functional design with TDD to remove the need for Mock objects.
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Worse Is Better, for Better or Worse
Kevlin Henney revisits the original premise and definition of “Worse is Better”, and looks at how this approach to development can still teach something surprising and new.
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Groovy Browser Automation
Colin Harrington introduces GEB, a browser automation solution, combining the power of WebDriver, jQuery content selection, the robustness of Page Object modelling and the expressiveness of Groovy.
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Groovy for Java Developers
Peter Ledbrook attempts to answer the question "Java is a good all-purpose programming language, but does that mean it's the best tool for all jobs?"
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Big Data in Memory
John Davies shows a Spring work-flow consuming 7.4kB XML messages, binding them to 25kB Java but storing them in just 450 bytes each, 10 million derivative contracts in-memory on a laptop.
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