InfoQ Homepage Case Study Content on InfoQ
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APIs for Amnesty
Vivian Chandra outlines the benefits of an API they created including how it has helped them automate part of their CRM process and protected them from changes of the CRM system.
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Beyond the Hype: 4 Years of Go in Production
Travis Reeder thinks performance, memory, concurrency, reliability, and deployment are key to exploring Go and its value in production. Travis describes how it’s worked for Iron.io.
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Using React for the Mobile Web
Brian Holt talks about React, performance issues, some general web performance tips, lessons learned while helping write m.reddit.com using React.
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Spring Data REST - Data Meets Hypermedia + Security
Roy Clarkson and Greg Turnquist discuss using Spring Data REST to build a back-end for a startup, exemplifying with Spring-A-Gram, an app built with Spring Data REST and secured by Spring Security.
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Functional Programming Kata with Groovy
Scott Hickey works through a solution to the Bank OCR kata, using Groovy and functional programming techniques. The code uses recursion plus Groovy methods that support functional programming.
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The Hypermedia API Pivot
Nick MacDonald discusses a project’s transformation using hypermedia APIs, which has provided them with a simplified backbone to evolve internally and across boundaries.
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Dino DNA! Health Identity from the Wrist @Jawbone
Brian Wilt discusses how applied machine learning techniques and data science helped Jawbone build a successful fitness tracking app.
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Implementing a Highly Scalable Stock Prediction System with R, GemFire and Spring XD
William Markito Oliveira and Fred Melo discuss the architecture and implementation details of a stock prediction solution built entirely on top of open source code and some R and a web interface.
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Full Stack Groovy Developer
Iván López presents the technological stack of Polaromatic, and demonstrates that it's possible to write the whole stack with Groovy: Backend, Javascript, HTML, Android, test, build tool.
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Takes a Village to Raise a Machine Learning Model
Lucian Vlad Lita focuses on the next step in personalization: well-designed software architectures for storing, computing, and delivering responsive, accurate in-product predictions and experiments.
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The Lego Model for Machine Learning Pipelines
Leah McGuire describes the machine learning platform Salesforce wrote on top of Spark to modularize data cleaning and feature engineering.
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API Management – A Governmental Perspective
Simon Ferguson describes how MBIE is using APIs, initiatives that are underway to increase use of APIs, and the considerations that are involved with providing governmental services as APIs.
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