InfoQ Homepage Programming Content on InfoQ
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Scaling Scalability: Evolving Twitter Analytics
Dmitriy Ryaboy shares some of the lessons learned scaling Twitter’s analytics infrastructure: Data loves a schema, Make data sources discoverable, and Make costs visible.
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Designing a REST-ful API Using Spring 3
Ben Hale explains how to design and test a RESTful API with Spring MVC, providing an example of a simple game application showing the design principles used.
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Staged Program Development
K. Rustan M. Leino advocates developing in stages by using languages that offer both design level abstractions – types, contracts, higher-level constructs, ghost constructs- and implementation ones.
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Monads for Normal People
Dustin Getz shows writing monads code explaining how they work and why they are useful.
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Going Real-time: How to Build a Streaming API
Ross Mason explains what real-time API is, the corresponding technologies and trends, demoing using streaming APIs.
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The Costs and Benefits of Building Hypermedia APIs (with Node.js)
Mike Amundsen discusses the theory behind building hypermedia APIs combined with real life cases exemplifying the successes and failures of such an endeavor.
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The FT Web App: Coding Responsively
Rob Shilston discusses the need for coding responsively, not just designing responsively, along with the development process in place at Financial Times.
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Information Rich Programming with F# 3.0
Donna Malayeri speaks on information rich programming with F# 3.0’s type providers and query expressions, explaining how type providers work under the hood.
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Extending Spring MVC with Spring Mobile and JavaScript
Craig Walls and Roy Clarkson explain how to extend Spring MVC to mobile devices with Spring Mobile and popular JavaScript frameworks.
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Rust
Dave Herman talks about Mozilla Rust and some of the features that make it safe, concurrent, and fast.
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Clojure after the Honeymoon
Håkan Råberg and Jon Pither on introducing Clojure to an investment bank team having a large Java code, dealing with cultural differences, the lessons learned, and ways of dealing with legacy code.
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Lean Data Architecture: Minimize Investment, Maximize Value
Manvir Singh Grewal and Brandon Byars propose a business intelligence workflow along with Lean principles and practices for implementing a data warehouse and reporting capability.
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