InfoQ Homepage Spring Content on InfoQ
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Behind the OSS Curtain: How we Manage Spring
Baruch Sadogursky and Phil Webb discuss using Artifactory/Bintray to manage the code, issues and releases of the Spring Framework.
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IoT Realized - The Connected Car v2
Phil Berman and Michael T Minella present a solution developed with Spring XD to stream real-time analytics from a moving car using open standards.
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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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HTTP/2 for the Web Developer
Brian Clozel discusses the main features of HTTP/2 to understand how it will improve latency on the web, with concrete examples of how it could be integrated in front-end and Spring web applications.
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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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Groovy AST Transformations
Paul King reviews some of the most useful of the Groovy built-in AST transformations. He talks about the internal workings of AST transformations and how to write your own.
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Spring Boot is Made for Tooling
Yann Cébron and Stéphane Nicoll take a look at some features from IntelliJ IDEA that help one get started with Spring Boot, dealing with configuration management and be more efficient.
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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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Geb in the Browser
Ken Kousen talks about Geb, which makes it easy to automate browser-based applications. Geb is based on the Spock testing framework, providing a straightforward syntax and easy execution model.
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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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Working with Databases & Groovy
Paul King reviews the features in Groovy which make it easy to work with databases - Groovy SQL, datasets -, and working with NoSQL databases such as MongoDB and Neo4J.
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Writing a Kubernetes Autoscaler with Groovy and Spring Boot
Ray Tsang shares his experience in writing a custom metrics collector plus an autoscaler using Groovy and Spring Boot, deployed as containerized microservices in Kubernetes.
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