InfoQ Homepage Java Content on InfoQ
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The Ghosts of Java Past, Present and Yet to Come
Steve Elliott covers the evolution of how Java came to be what it is today including some lesser known history, and takes a look at the current roadmap of Java going forwards.
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Comparing Hot JavaScript Frameworks: AngularJS, Ember.js and React.js
Matt Raible compares three JavaScript MVC frameworks: AngularJS, Ember.js and React.js, including client vs. server side templating and how they support isomorphic JavaScript.
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Microservices to FastData in the Enterprise with Spring
John T Davies is using Spring Integration and Spring Boot to ingest gigabytes of complex data into two different in-memory data grids (IMDGs), showing the design and implementation with several demos.
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#NoXML: Eliminating XML in Your Spring Projects
Matt Raible shows how to eliminate XML by configuring Spring beans with JavaConfig and annotations, and how to remove web.xml and configure web components with Java.
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High Performance Stream Processing
S Maldini, G Renfro and D Turanski dissect a Spring XD app to show design patterns and techniques for getting the highest throughput and lowest resource utilization in streaming apps.
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Contracts in Clojure: Settling Types vs Tests
Jessica Kerr talks about Clojure and explores the potential of contracts as the best-yet compromise between types and tests.
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Reactive Web Applications
Stephane Maldini and Rossen Stoyanchev discuss building reactive web applications, the choice of runtimes, using reactive streams for network I/O and the reactive programming model.
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Developing Real-time Data Pipelines with Apache Kafka
Joe Stein makes an introduction for developers about why and how to use Apache Kafka. Apache Kafka is a publish-subscribe messaging system rethought of as a distributed commit log.
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A Spring Developer's Guide to Social Integration
Craig Walls discusses how to use Spring Social, Spring Boot, and Spring Integration to expand the reach of an application to those services, effectively injecting the app into their social graph.
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Building Microservices with Event Sourcing and CQRS
Michael Ploed talks about the distributed data management challenges that arise in a microservices architecture and how they can be solved using event sourcing in an event-driven architecture.
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What It Means to be Just In Time
Ashley Puls explains what happens to bytecode inside the JVM. It begins with an overview of the Just In Time (JIT) compiler and discusses JIT optimizations such as method inlining and loop unrolling.
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The Lightning Memory-mapped Database
Howard Chu discusses the Lightning Memory-Mapped Database (LMDB) design and architecture, and its impact on other projects such as OpenLDAP.
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