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  • Tips to Developers Starting on Large Applications

    You've just started working on a large Java application. How would you go about understanding the code base? In a typical enterprise Java team, most of the senior developers who can help you are likely to be quite busy. Documentation will be sparse. You will need to quickly deliver and prove yourself to the team. How would you resolve such a situation? This article offers some suggestions.

  • Anil Gaur on Cloud Computing Support in Java EE 7

    Java EE 7 specification includes support for cloud computing to help developers build applications that are portable across Java EE PaaS platforms. InfoQ spoke with Anil Gaur, Vice President of Software Development at Oracle, about cloud computing support in Java EE 7, project road map and timeline, cloud API in Java EE 7, and cloud development and deployment tools.

  • Martin Odersky on Typesafe Stack and the Future of Scala

    In this interview with InfoQ's Editor in Chief, Michael Floyd, Martin Odersky draws the comparisons between F# and Scala, discusses the future of Scala, and addresses once and for all the question of breaking binary compatibility. He also discusses his current work on the implementation of the value class proposal, how Java might support functional programming and the new Typesafe Stack 2.0.

  • Book Review and Interview: Java Performance, by Charlie Hunt and Binu John

    Java Performance, by Charlie Hunt and Binu John, provides performance tuning advice for both Java SE and EE applications. Specifically, it provides information on performance monitoring, profiling, tuning HotSpot, and Java EE application performance tuning. InfoQ reviews the book, and talks to the authors about their approach.

  • Oracle and the Java Ecosystem

    Oracle is making huge efforts to engage with the wider Java ecosystem, but challenges still remain.

  • Implementing Lucene Spatial Support

    Lucene geospatial extension proposed in this article is based on a two level search – first level search is based on Cartesian Grid search and the second level implements shape specific spatial calculations

  • Integrating Lucene with HBase

    The article describes overall design and implementation of integrating Lucene search library with HBase back end. It describes integration architecture, implementation and HBase tables design

  • Key Takeaway Points and Lessons Learned from QCon San Francisco 2011

    This article presents the main takeway points as seen by the many attendees who blogged about QCon. Comments are organized by tracks and sessions: Keynotes, Advancing Agile to the Next stage with Lean, Agile in the Midlife, Architecture Case Studies, Beautiful Code, Big Data and NoSQL, Functional Web, Cross Platform Mobile Development, HTML5 & JavaScript, Systems That Never Stop and many more!

  • A Java Developer’s Guide to PaaS

    This article reviews and compares 6 leading vendors of Platform-as-a-Service (PaaS) solutions for Java developers, together with 3 up and coming vendors mentioned at the end of the article. After reading it, you will learn different technical and business approaches of Java PaaS, and then decide for yourself which vendor provides the best platform for your needs.

  • David Pollak and Dick Wall Discuss Barriers to Scala Adoption

    David Pollak, famous Scala advocate, blog posted, "Yes, Virginia, Scala is hard", causing a brouhaha. Scala use is increasing, yet the post claims that Scala tries to do too much, has poor IDE support, and more. InfoQ catches up with David Pollak and Dick Wall to comment on the complaints in the post, as well as the future of Scala. David has things to say about Groovy, Ceylon and Lambdas too.

  • Effective Java Profiling With Open Source Tools

    In this example-driven article, Joachim Haagen Skeie walks you step by step through using open source tools like JMap, VisualVM, BTrace, and EurekaJ to get under the hood of your running Java apps to effectively diagnose performance and memory problems.

  • Discover Recording JVM Debuggers

    A debugger is a great tool for examining the internal state of an application, reproducing however a specific issue is a completely different matter. Fully replicating the production environment into a staging area might even be a feat on its own. Meet recording debuggers that remove all the guesswork and extra effort by monitoring the application in production and knowing exactly what happened.

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