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Archive for the ‘Best practices’ Category

A data-centric architecture helps you build and integrate systems efficiently and effectively — I’ve written about that before. And it’s all around you — even microblogging services like Facebook and Twitter depend upon it. Standards-based DDS technology is a great way to implement this approach: it’s fast, dynamic, and fault-tolerant. The cost savings can be [...]

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An earlier post of mine, The Data-Centric Modus Operandi, has garnered a couple of good comments recently. I was in the process of responding to one of them when it occurred to me that (1) a response longer than the WordPress comment field probably didn’t belong there and that (2) more readers might have the [...]

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Data distribution is about observing a changing world. A system whose communication is based on this paradigm tends to become data-centric: it becomes more concerned with modeling the first-class concepts of its business domain and less concerned with managing second-class “who-told-whom-to-do-what” middleware concepts like queues and messages. Along the way, it enjoys the benefits of decreased coupling and improved reliability, scalability, and performance.

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RTI released a new white paper today that asks (and answers) the question, “What Is Real-Time SOA?” Is it simply a Service Oriented Architecture (SOA) built on faster Web services or a faster Enterprise Service Bus (ESB)? Or, do real-time systems require different technologies? The answers to these questions are becoming increasingly important as real-time [...]

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Mutexes and Semaphores

For many software developers, the differences between a mutex and a semaphore is murky at best. This post summarizes and links to several recent articles that clarify the situation.

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Most of the distributed systems we deal with at RTI have performance constraints at their core. Either the system is pushing the limits of the available resources, or the action-reaction timing is critical for a given event. In other words the constraint might be on throughput or latency (or increasingly latency vs. throughput). In these [...]

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If you’re an old hand at messaging, but new to data distribution, the phrase “data-centric design” may sound like just a new way of describing the same old architectures. But data-centric and message-centric thinking differ in subtle-yet-important ways. Understanding those differences will help you pick the right tool for each job.

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So you have a distributed system and you’re happily sending data between nodes in your system. The consumer applications are consuming the data your producer applications are producing, and everything is running smoothly. Now, that doesn’t sound like any system you know does it? Distributed systems are by nature complex. Nodes and applications are not [...]

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Here at RTI, we take the concept of “Getting Started” to a new level with our Data Distribution Service (DDS) product. With the use of a code generation tool called “rtiddsgen”, new developers can actually create applications that will publish and subscribe their own data types.

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When I moved to the US a decade ago, Home Improvement was a popular television sitcom, starring Tim Allen as Tim the tool man Taylor, a host of a made up home improvement show. Among the support team, when we learn about a new debugging tool, we frequently joke about ‘our network debugging tool belt’. [...]

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