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InfoQ Homepage Distributed Systems Content on InfoQ

  • An Open, Interoperable Cloud

    This article describes how interoperable clouds can be created, today, through the integration of open standards such as the Open Cloud Compute Interface, the Open Virtualisation Format and CDMI. They provide the means to package virtual infrastructure deployments, an API for the runtime management of storage infrastructure and an API for the runtime management of infrastructure as service.

  • Oozie by Example

    End to end Oozie example, including process design, resource coordinator and workflow implementation

  • Introduction to Oozie

    Basic introduction to Oozie - a framework allowing to combine multiple Map/Reduce jobs into a logical unit of work.

  • Using Apache Avro

    Boris Lublinsky presents an introduction to AVRO and evaluate its usage for Schema componentization, inheritance and polymorphism. He also discusses backward compatibility issues and AVRO solutions for this problem.

  • Data Mining in the Swamp: Taming Unruly Data With Cloud Computing

    Matrix presents a white paper on using the open source tool, Hadoop, to implement the MapReduce strategy and a Cloud computing strategy to solve business intelligence problems.

  • Clojure and Rails - the Secret Sauce Behind FlightCaster

    FlightCaster, a realtime flight delay site, is built on Clojure and Hadoop for the statistical analysis. The web frontend is built with Ruby on Rails and hosted on Heroku. We talked to Bradford Cross about Clojure, functional programming and tips for OOP developers interested in making the jump.

  • Communication Flexibility Using Bindings

    In this article, we will look at an important feature of SCA - its support for a wide variety of communication protocols and how to use SCA bindings on services and references to decouple your business code from communication protocols. Finally we'll take a look at the SCA domain to see how bindings operate in and outside the domain.

  • Yahoo's Doug Cutting on MapReduce and the Future of Hadoop

    InfoQ's lead Java editor, Scott Delap, recently caught up with Hadoop project lead Doug Cutting. Hadoop is an open source distributed computing platform that includes implementations of MapReduce and a distributed file system. In this special InfoQ interview Cutting discusses how Hadoop is used at Yahoo, the challenges of its development, and the future direction of the project.

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