InfoQ Homepage Programming Content on InfoQ
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Dynamically Re-configurable Event-driven Systems
Danny Goovaerts combines event-driven business modeling and collocation of data and processing to enable financial institutions to design, develop, test, deploy and change services fast.
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Pony: How I learned to stop worrying and embrace an unproven technology
Sean T. Allen talks about his experiences using Pony to build Wallaroo, a high-performance, low-latency stream processing engine.
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Refactor Front-end APIs & Accounting for Tech Debt
Julia Nguyen talks about accounting for technical debt in feature work and best practices in refactoring front-end APIs based on her work adding Apple Pay support to perk itemization at Indiegogo.
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Exploring UI Composition in Aurelia
Rob Eisenberg looks at Aurelia’s approach to UI composition through an exploration of its component model with configuration models based on JavaScript decorators and metadata.
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React+Redux at Scale
Daniel Cousineau looks at how React and Redux scale, not just in terms of quantitative performance, but in terms of architecture and team participation.
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From Customer Self Service Portals to Web APIs
Florian Marquardt presents how Regiocom has created and uses web APIs to serve the energy market in several countries.
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Reinventing Credit Insurance with APIs
Christophe Spoerry discusses embedding insurance in B2B innovations.
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Elm and Phoenix: Two FP Flavors That Taste Great Together
Josh Adams discusses the basics of creating apps in Elm with a Phoenix back-end, using real-world examples of how the two work together in Firestorm, an open-source forum engine.
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What Does Speed Mean in Software Product Delivery?
Jason Yip explores the way of thinking about "high velocity" and gives specific examples of concepts and practices to try from his experiences at ThoughtWorks and Spotify.
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How to Survive the API Copyright Apocalypse
Steven Willmott recommends avoiding the possible API copyright troubles by sharing API definitions rather than copyrighting them.
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Avoiding React Performance Pitfalls
Alex Grigoryan discusses the performance problems found and their solutions moving from Backbone/Java to React/Node.js at @WalmartLabs.
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When Models Go Rogue: Hard Earned Lessons on Using Machine Learning in Production
David Talby summarizes best practices & lessons learned in ML, based on nearly a decade of experience building & operating ML systems at Fortune 500 companies across several industries.
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