Every developer has had to integrate with another system, API or component at one point or another. And, often, a business feature must span systems. If you’ve been on a project like this or have one in the pipeline then this article provides strategies to handle the change. Also, this article covers separating system boundaries and what that means for your technical design.
The Lean Software & Systems Consortium (LeanSCC) whose mission is to improve the world by improving its systems and system-building capabilities (well known in the agile community for promoting the use of Kanban for software development) reorganized as the Lean System Society. The goal is to accelerate and deepen the Lean paradigm and bring together thinkers and doers from different perspectives.
MonoDevelop 3.0 has been released and there are several new features that focus on performance and developer productivity, especially for C# developers.
A group of researchers from two European universities have evaluated if “what is beautiful is usable” is true in software, and they have concluded that “what is usable is beautiful.”
The NoSQL movement is here to stay. The need for reliable storage that can be easily queried and easily scalable without the pain of SQL schema migration is real. Developers want more agile systems. This article uses MongoDB to introduce NoSQL concepts. This article covers the basics of MongoDB architecture, caveats and programming in MongoDB for Java, PHP, and Python developers.
Arquillian is an integration and functional testing platform that can be used for Java middleware testing. It helps bring the tests to the runtime environment, freeing developers from managing runtime from within the test. InfoQ caught up with Dan Allen to talk about the framework features and its future roadmap.
While creating models in a form or another is very common, their combination with the code has been challenging. As a result, models are usually thrown away once the implementation has progressed. The reason is partly in the modeling languages used and partly in the tools applied. The article describes proven practices for working with both models and code.
Michael Recce discusses how advertising works and what algorithms Quantcast uses to analyze large amounts of data in order to find out what people are interested in.
Steve Vinoski believes that actor-oriented languages such as Erlang are better prepared for the challenges of the future: cloud, multicore, high availability and fault tolerance.
In this interview at QCon London, LinkedIn’s Sid Anand discusses the problems they face when serving high-traffic, high-volume data. Sid explains how they’re moving some use cases from Oracle to gain headroom, and lifts the hood on their open source search and data replication projects, including Kafka, Voldemort, Espresso and Databus.
Hive co-creator Ashish Thusoo describes the Big Data challenges Facebook faced and presents solutions in 2 areas: Reduction in the data footprint and CPU utilization. Generating 300 to 400 terabytes per day, they store RC files as blocks, but store as columns within a block to get better compression. He also talks about the current Big Data ecosystem and trends for companies going forward.
The authors of this book share their experience and lessons learned while building an enterprise-wide Identity and Access Management system using an architectural approach called LIMA.
This is the first edition of what is expected to become a recurring series on InfoQ. The idea behind this minibook is that a number of InfoQ articles and interviews which deal with a particular topic (in this case, REpresentational State Transfer, or REST) are combined together to provide a detailed exploration suitable for both beginners and advanced practitioners.
Composite Software offers a new level of granularity when compared to SaaS (Software as a Service). Composite Software is about enabling "right-sourcing", i.e. move (or keep) arbitrary small or large elements of functionality wherever it is the most cost effective to operate them, not just entire systems. Economically, "right-sourcing" is far more efficient than "outsourcing" and SaaS. The goal of this book is start by understanding today’s software construction processes and technologies and explore why and how it should be evolved to support core composition mechanisms.
Within this book you will find everything you need to get up and running using Struts2 – from the architecture and configuration, to implementing actions and the supporting infrastructure such as validation and internationalization. Above all else, it focuses on the practical – with plenty of code and productivity tips to get you started using Struts2 today.
The Humble Little Ruby Book covers the base syntax of the language, including working with values, flow control, and object oriented programming, into some of the library functionality of Ruby, such as databases, web services, and string manipulation.
Domain Driven Design is a vision and approach for designing a domain model that reflects a deep understanding of the business domain. This book is a short, quickly-readable summary and introduction to the fundamentals of DDD; it does not introduce any new concepts; it attempts to concisely summarize the essence of what DDD is, drawing mostly Eric Evans' book, as well other sources since published such as Jimmy Nilsson's Applying Domain Driven Design, and various DDD discussion forums.
Visual Studio .NET Tips and Tricks is a book explaining how to use VS.NET efficiently. Organized into short and easy-to-grasp sections, and containing tips and tricks on everything from editing and compiling to debugging and navigating within the VS.NET IDE, this book is a must-read for all .NET developers, regardless of expertise and whether they program in C#, VB.NET, or any other .NET language. This book covers the Visual Studio .NET 2002, 2003, and 2005 Beta 1 releases.
Java Transaction Design Strategies shows how to design an effective transaction management strategy using the transaction models provided by Java-based frameworks such as EJB and Spring. Local, programmatic, declarative, and XA models are explained; the book concludes with a set of design patterns show how to effecitvely use these models.
