InfoQ Homepage Conferences Content on InfoQ
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Continuous Delivery for the Rest of Us
Lisa Van Gelder provides simple tips and tricks for improving delivery without investing lots of time up front creating complex deployment frameworks.
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How DevOps and the Cloud Changed Google Engineering
Melody Meckfessel explores how Google's engineering teams use CD to build products and scale them, and how their strain of DevOps speeds launches and helps their engineering culture thrive.
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Caching and Messaging Improvements in Spring Framework 4.1
Juergen Hoeller and Stéphane Nicoll present major new features in Spring Framework 4.1: the numerous improvements around the caching abstraction, and messaging-related features.
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REST Services with RabbitMQ, Spring Integration and Node.JS
The speakers provide insight into design and architectural challenges for creating REST services with Spring Integration with RabbitMQ.
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Inside spring.io: a Production Spring Reference Application
Brian Clozel talks about the newly open-sourced reference application that powers the spring.io site, built with Spring Boot, Spring Framework 4 features, cujoJS, Bower and Gulp.
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Why Spark Is the Next Top (Compute) Model
Dean Wampler argues that Spark/Scala is a better data processing engine than MapReduce/Java because tools inspired by mathematics, such as FP, are ideal tools for working with data.
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Improvement Initiatives Are Like Teenage Sex
Pawel Brodzinski focuses on the importance of having a correct mindset and understanding the context rather than blindly following some methods.
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Faster Object Arrays
Gil Tene introduces org.ObjectLayout and StructuredArray, the APIs and design considerations that allow Java JDKs to match C on data structure access speeds.
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Not Just Code Monkeys
Martin Fowler keynotes on the importance of building a healthy social environment where software development can thrive. Part 1 of this presentation: www.infoq.com/presentations/workflow-refactoring
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Unified Big Data Processing with Apache Spark
Matei Zaharia talks about the latest developments in Spark and shows examples of how it can combine processing algorithms to build rich data pipelines in just a few lines of code.
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Workflows of Refactoring
Martin Fowler keynotes on the need for refactoring and different ways to approach it. You can view here part 2 of this presentation: http://www.infoq.com/presentations/healthy-social-environment.