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  • ActiveJPA – Active Record Pattern for JPA

    ActiveJPA is a Java implementation of Martin Fowler’s Active Record pattern that wraps around JPA and provides useful abstractions to simplify data access. With ActiveJPA, models themselves act as a DAO and interact with the database without requiring additional code for the DAL. In this article the primary committer discusses ActiveJPA and provides plenty of usage examples.

  • Interview with Ole Jepsen on Leadership in Agile

    Good leaders create an environment where self-organizing teams can thrive and create great products and services to delight their customers: that is what Ole Jepsen explains in this interview. At the XP Days Benelux conference he talked about truly leading people and the subtle but important differences between taking and giving control.

  • Interview with Raffi Krikorian on Twitter's Infrastructure

    Raffi Krikorian, Vice President of Platform Engineering at Twitter, gives an insight on how Twitter prepares for unexpected traffic peaks and how system architecture is designed to support failure.

  • Non-functional Requirements in Architectural Decision Making

    In this article, authors present an empirical study based on a survey about the software architecture practices for managing non-functional requirements (NFRs) and decision making in software development process. They also discuss about how these requirements are elicited, documented, and validated at different organizations.

  • Minding the API Hierarchy of Needs with RAML and APIkit

    Reza Shafii explains how to satisfy two fundamental needs of API design and implementation, as defined by the API hierarchy of needs, with RAML, API Designer and APIkit.

  • Intelligent Evolution: Making Change Work

    Some 80% of all improvement and change programmes fail: they did not achieve the expected results, the investment in the change programme was greater than the value achieved, “improvements” were seen as mostly bureaucratic, or changes were abandoned soon after the implementation. Intelligent Evolution ensures long-term business success rather than short-term satisfaction of a standard or theory.

  • Beyond Piracy: Software Publishers Battle Greater Threats to Their Intellectual Property

    Software is in everything from our automobiles to our mobile devices, and as the world becomes even further immersed in the digital era, new security threats are arising beyond the software industry. Today, software products are becoming more susceptible to incidences of reverse-engineering and code tampering – not just outright theft.

  • Preparing for Your First MongoDB Deployment: Backup and Security

    This article we focuses on the database backup tools and security policies when deploying MongoDB NoSQL databases. Topics like cloud backups with MongoDB Management Service (MMS), authentication, and authorization are covered.

  • Design Patterns: Magic or Myth?

    In this article, author discusses the effectiveness of the usage of design patterns in software development. The analysis is based on surveys and mapping studies conducted to indicate which patterns were considered useful under what circumstances.

  • Pragmatic Techniques for Maintaining a Legacy Application

    Maintaining a legacy application can make you feel like mice in a maze. In this article Ping Chen shares her experiences on how to pragmatically maintain a large legacy application. "Pragmatic” is the operative word; since a legacy application can have lots of technical debt, one has to be strategic in choosing the right battles.

  • Monty Taylor and Jim Blair on CI and Test Automation at OpenStack

    Monty Taylor and James Blair talk about the build and test challenges they face at OpenStack, and how they managed to tackle them. Managing hundreds of VMs on public clouds, integrating up to 400 commits a day and running thousands of test jobs on them are some of the challenges described.

  • Building a Real-time, Personalized Recommendation System with Kiji

    Jon Natkins explains in this article how to create a personalized recommendation system fed with large amounts of real-time data using Kiji, which leverages HBase, Avro, Map-Reduce and Scalding.

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