InfoQ Homepage Java Content on InfoQ
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Distributed Platform Development with Groovy
Dan Woods discusses the approach to developing a scalable enterprise architecture, and demonstrates implementations based on the variety of technologies available from the Groovy ecosystem.
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Using a Graph Database for JVM Heap Analysis
James Richardson, Nat Pryce discuss some of the challenges faced using Neo4J for interactive analysis of large data imports (80K nodes, 150k relationships) and how they overcame them.
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Groovy Browser Automation
Colin Harrington introduces GEB, a browser automation solution, combining the power of WebDriver, jQuery content selection, the robustness of Page Object modelling and the expressiveness of Groovy.
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Groovy for Java Developers
Peter Ledbrook attempts to answer the question "Java is a good all-purpose programming language, but does that mean it's the best tool for all jobs?"
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Big Data in Memory
John Davies shows a Spring work-flow consuming 7.4kB XML messages, binding them to 25kB Java but storing them in just 450 bytes each, 10 million derivative contracts in-memory on a laptop.
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IoT Realized - The Connected Car
This session explores the power of Spring XD in the context of the Internet of Things (IoT).
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Asychronous Design with Spring and RTI: 1M Events per Second
Stuart Williams takes a walk through the RTI architecture and explains how Spring performs at hundreds (and millions) of events/operations per second.
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Building a Recommendation Engine with Spring and Hadoop
Michael Minella uses Spring XD and Spring Batch to orchestrate the full lifecycle of Hadoop processing and uses Apache Mahout to provide the audience with the recommendation processing.
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Become a Data-driven Organization with Machine Learning
Peter Harrington explains what you do with machine learning, and what are the building blocks for an application that uses machine learning from collected data to creating predictions for customers.
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Apps + Data + Cloud: What Does It All Mean?
Matt Stine presents how combine Spring Boot, Spring Data, Spring Reactor, Spring XD, Hadoop and run them in the cloud.
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Debugging Java 8: New Techniques for Fixing Production Code
Tal Weiss discusses some essential tools and advanced techniques Java developers can use in their code to debug live servers and resolve errors quickly.
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How I Learned to Stop Worrying & Love the Lambda
Todd Montgomery discusses how Java 8 has faired with a few new high performance network projects.
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