InfoQ Homepage Architecture Content on InfoQ
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Distributed Systems in Production
Jeff Hodges discusses tactics and strategy for creating distributed systems today and a little about what the future holds.
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Refactoring in Java, Scala, and Clojure
Glen Peterson uses the Expression Problem to compare refactoring in Java, Scala and Clojure, showing how traits minimize changes in Scala when an interface changes and how Clojure avoids some issues.
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Going Reactive: Event-Driven, Scalable, Resilient & Responsive Systems
Jonas Bonér discusses four key traits of Reactive Apps: Event-Driven, Scalable, Resilient and Responsive, how they impact application design, how they interact, related technologies and techniques.
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All Your API Are Belong to Us
Paul Hill presents a case study of building an API with a short deadline using Node.js, WebSocket, MongoDB, JSON, Promises, Swagger, Memcached, Varnish and Hypermedia ReST.
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How WebMD Maintains Operational Flexibility with NoSQL
Rajeev Borborah, Matthew Wilson discuss using NoSQL at WebMD -architecture, benefits, roadmap-, with details on caching and key-value storage implementation behind a few of the WebMD applications.
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Clients Matter, Services Don't
Mike Amundsen reviews patterns in developer practices and trends in services and libraries that emphasize the idea that in the end "Clients Matter, Services Don't".
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From Parts to a Whole: Modular Development of a Large-Scale e-Commerce Site
Oliver Wegner, Stefan Tilkov show how OTTO, Germany’s largest online fashion retailer, used a system-of-systems approach to enable modular, parallel development of its ambitious shop relaunch.
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Migrating to Microservices
Adrian Cockcroft discusses strategies, patterns and pathways to perform a gradual migration from monolithic applications towards cloud-based REST microservices.
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10 Reasons Why Developers Hate Your API
John Musser takes a look at some of the common mistakes made by API providers, providing advice on what can be done to avoid them.
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The Game of Big Data: Scalable, Reliable Analytics Infrastructure at KIXEYE
Randy Shoup describes KIXEYE's analytics infrastructure from Kafka queues through Hadoop 2 to Hive and Redshift, built for flexibility, experimentation, iteration, testability, and reliability.
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Doing Data Science with F#
Tomas Petricek introduces F#’s capabilities in dealing with scientific data: type providers -CSV, XML, JSON, REST-, interactive development, data visualization libraries, integration with R or MathLab
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Clojure in the Large
Stuart Sierra discusses various Clojure features: protocols, records, DI, managing startup/shutdown of components, dynamic binding, interactive development workflow, testing and mocking.