InfoQ Homepage Development Content on InfoQ
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QoS for Applications: A Resource Management Framework for Runtimes
This article draws an analogy between QoS for networks and for applications, resulting in a mapping guide between the two and introducing a production solution for Java, (J)Ruby, and (J)Python apps.
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Using Entity Framework to Successfully Target Multiple Databases
Yevhen Shchyholyev discusses some of the problems that the user may face in the process of developing an application with Entity Framework that interacts with Oracle, MySQL, PostgreSQL or SQLite as well as SQL Server. It is intended to be useful to both developers using one of these databases for the first time as well as for those who regularly interaction with multiple databases.
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Oozie by Example
End to end Oozie example, including process design, resource coordinator and workflow implementation
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Introduction to Oozie
Basic introduction to Oozie - a framework allowing to combine multiple Map/Reduce jobs into a logical unit of work.
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Database-based High Performance Message Exchange Service for Enterprise Applications
Database Message Exchange Service (DBMES) stores messages in database for a Windows service to deliver to external services and vice versa. A message can be anything – an order, some task, a message for a destination message queue, a payload for calling external webservice and so on. DBMES decouples the client from the external services that are not on the same network or not always available.
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Virtual Panel: State of the Art in JavaScript Unit Testing
Unit testing is a commonly accepted practice in order to deliver maintainable code. This is especially true for a dynamic language like JavaScript and there are currently several frameworks and libraries for a team to choose from. InfoQ had a Q&A with the creators of some of the leading JavaScript unit testing frameworks about their projects and what they offer to developers.
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Twitter Shifting More Code to JVM, Citing Performance and Encapsulation As Primary Drivers
While it almost certainly remains the largest Ruby on Rails based site in the world, Twitter has gradually been moving more and more of its stack to the JVM. Last year the company announced that its back-end message queue had been re-written in Scala, and more recently it moved the search stack to Java, making Twitter search around three times faster.
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Architecting a Cloud-Scale Identity Fabric
In this IEEE article, author Eric Olden discusses an identity fabric that links multiple applications to a single identity to manage the volume of user identities that network administrators must secure and to enable a full-scale cloud adoption.
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Dependency Injection with Mark Seemann
Mark Seemann, author of Dependency Injection in .NET, talks to us about the differences between DI and Service Locators and the importance of having a Composite Root. He also touches on how these all relate back to the SOLID principals of object oriented design.
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Busy Java Developer’s Guide to Flex
Flex is a set of tools designed to make it easier for developers to build SWFs without having to use the Adobe Flash tool. This article explores Flex from a Java guy’s perspective, then shows how to set up the environment and examines topics like how to integrate Flex code with existing Java applications, as well as its applicability for use as a mobile device client technology.
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Micro ORMs with Sam Saffron and Rob Conery
Opinions about ORMs vary widely. Some see it as an essential tool for simplifying data access while others claim it greatly increases complexity while robbing applications of much needed performance. Sam Saffron and Rob Conery have found a middle ground in what’s known as a Micro ORM.
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Git, Gerrit Review and Jenkins or Hudson CI Servers
Together, Gerrit and Jenkins/Hudson allow you to propose changes and have those proposals automatically compiled/tested/verified before a human review even starts. This article shows how to install and configure Gerrit and how to hook it up to Jenkins/Hudson to build all proposed changes.