InfoQ Homepage Architecture Content on InfoQ
-
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.
-
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.
-
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.
-
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".
-
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.
-
Migrating to Microservices
Adrian Cockcroft discusses strategies, patterns and pathways to perform a gradual migration from monolithic applications towards cloud-based REST microservices.
-
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.
-
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.
-
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
-
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.
-
Make It Great: Refactoring That’s Smart and Satisfying
Ann Robson discusses how to develop standards, approach refactoring in a safe and practical way, and track the evolution of a code with tools and metrics.
-
Canonical Models for API Interoperability
Ted Epstein shows how a shared canonical model can make life easier for API consumers, while still allowing the flexibility to expose different services, with different contextual requirements.