Monthly Archives: July 2007

It Takes a Mental Shift to Benefit from XML Appliances

This article on techtarget is a great illustration of my point from the previous post about the importance of the proper design patterns and techniques required to be able to benefit from XML appliance capabilities.

When implementing Web services Java developers tend to think in terms of Java classes that XML documents map to. Using XSLT (or even Schema) for implementing part of their processing logic is not on their list because the common thinking is that it is too expensive to do it in Java.

With XML appliances the situation is exactly the opposite. XSLT all of a sudden becomes one of the best performing part of an application (although, I would imagine that using Java hardware acceleration such as the one provided by Azul might once again change that). This could be a serious “paradigm shift” for many developers and architects.

Another obstacle to more effective usage of appliances could simply be the lack of XSLT skills. XSLT is essentially a functional language and so it comes with a learning curve attached, especially for complex transformations. It is important to have a good knowledge of XSLT to understand what kind of work can be “outsourced” to an appliance. Not that many developers have this knowledge today, but perhaps it will change with more widespread use of XML appliances.

Improve Your Application Performance with XML Appliance

XML appliances are capable of extremely fast XML parsing and transformation (sometimes the term “wire-speed” is used). The speed is achieved by using hardware acceleration, specially written XML parsers and XSLT engines (you won’t find Xerces on these devices) and optimized operating system (usually, a trimmed-down version of Linux or BSD).

How fast are XML appliances? I’m not aware of published benchmarks; however, I did have a chance to conduct an informal performance testing of DataPower XI50 for a client and the results were quite impressive; for example we saw little to no overhead validating medium-size XML schemas.

Clearly, offloading as much XML processing as possible to an appliance could be a performance booster. So what kind of processing could be done on the device? Here are my recommendations based on the capabilities of the DataPower appliance; the situation could be slightly different with devices from other vendors.

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Using Maven Repository as Web Services Registry

A Web services registry is arguably one of the most important components of SOA. The registry provides a single source of information about all services in an enterprise.

There are a number of commercial registry/repository products but all of them are quite pricey. Also, smaller organizations or organizations just starting with SOA may not need the full power of a commercial registry/repository product; most of it functionality will remain unutilized. On the other hand, existing registries do not do a particularly good job of managing dependencies between services as well as between service consumers and service providers. Dependency management must be a key consideration in SOA since, unlike in the case of monolithic applications, an SOA consists of a large number of “moving parts”, that is, services. In a well developed SOA most services depend on other services and these services in turn may rely on some other services. Being able to manage and analyze services dependencies is required in order to be able to implement robust and maintainable SOA.

Open source Maven project has become something close to a de-facto standard in the area of dependency management for building Java-based projects and components.

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