InfoQ Homepage Articles
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Graph Databases - Book Review and Interview
"Graph Databases" book covers the Graph based NoSQL database technology and different options available for storing "Connected Data" in the real world applications. InfoQ spoke with co-authors Ian Robinson and Jim Webber about the book, role of Graph Databases in the NoSQL database space, and what’s coming up in the Graph Databases.
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Creating Resilient Software with Akka
Akka Tech Lead Dr. Roland Kuhn offers a behind the scenes look at Akka, showing what the driving forces behind the development of its guiding principles are.
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What’s Wrong with Feedback
Feedback is not the same as prediction. Data does not tell us what to do – it simply indicates a problem. Feedback underpins much of the Agile Manifesto. Acting on feedback is how we deliver iteratively, and opportunities for feedback are formalized in many Agile practices, from pair programming in XP, to Scrum
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Mike Barlow on Real-Time Big Data Analytics
"Real-Time Big Data Analytics: Emerging Architecture" white paper authored by Mike Barlow covers big data analytics topic and how real-time big data analytics (RTBDA) are different from traditional analytics. InfoQ spoke with Mike about the current state of real-time big data analytics and the emerging trends in the Big Data space like Decision Science.
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DevOps @ Rafter
This article is part of the “DevOps War Stories” series. Each month we hear what DevOps brings to a different organisation, we learn what worked and what didn’t, and chart the challenges faced during adoption. In this issue Chris Williams explains how Rafter grew from one developer taking care of system administration tasks to a full-fledged DevOps team that supports the whole business.
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Interview with Capers Jones on Measuring for Agile Adoption
Why would you want to use measurements if you are adopting agile? Because top executives would like to know how projects will turn out before spending money on them, and measuring results helps to improve future predictions. Capers Jones shows how you can measure productivity and quality, and looks at agile practices that have proved to be beneficial for teams.
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Run .NET and Node.js code in-process with Edge.js
Tomasz Janczuk has created Edge.js, which allows users to combine the power of .NET with Node.js. Curious about how to add non-blocking communication to your .NET project? Looking for a way to move computationally intensive code out of your Node thread? Janczuk's article provides a great starting point on how Edge works and the benefits it can bring to your next application.
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Software Development: How the Traditional Contract Model Increases the Risk of Failure
Susan Atkinson and Gabrielle Benefield argue that the standard contract model for software development is based on outdated and flawed assumptions, and that this is contributing to the high rates of failure in IT projects, regardless of whether the IT projects are resourced internally or outsourced to a third party. The contract model is in need of a total overhaul.
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Project Lambda from the Inside. An Interview with Brian Goetz
JSR-335: Project Lambda has been called the "defining" project in Java 8. InfoQ spoke to Oracle's Brian Goetz, JSR 335 spec lead about his observations on Project Lambda from the inside.
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Managing Build Jobs for Continuous Delivery
The number of jobs in a continuous integration tool can range from a few to several thousand, all performing various functions. There is an approach to manage these jobs in a more efficient manner.
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Tuning the Size of Your Thread Pool
Thread pools can help us control the number of threads used by a system. A properly sized thread pool will allow as many requests to run as the hardware and application can comfortably support. A poorly tuned thread pool risks completely destabilizing the system. In this article we see how to apply the "measure don’t guess” mantra to properly size our production thread pools.
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Interview and Book Review: The LogStash Book, Log Management Made Easy
James Turnbull makes a compelling case for using Logstash for centralizing logging by explaining the implementation details of Logstash within the context of a logging project. The book targets both small companies and large enterprises through a two sided case; both for the low barrier to entry and the scaling capabilities.