Web server certificate - 262 CHAPTER 10 JAVA EE PERFORMANCE ASSESSMENT
262 CHAPTER 10 JAVA EE PERFORMANCE ASSESSMENT Filters Filters control what requests or request patterns are recorded. For example, to record all requests into the myapp Web context, you would configure a filter to record all requests matching /myapp/* and exclude all others. Filters can be used to greatly reduce the number of requests that are traced and hence have the biggest impact on performance monitoring overhead. It is common to write a performance analysis report for a single application, and this is possible by implementing filters. Level of Detail The level of detail configures whether the tool captures full call stacks at the method level, only significant components, or simply requests. The finer the level of detail, the greater the overhead. Method-level recordings provide complete call stacks from an HTTP request, through application classes and methods, and to back-end dependencies such as databases, offering the finest level of detail and the best information, but at the highest overhead. Component recordings, or boundary recordings, can aid you in identifying poorly performing parts of your application. A typical component recording breaks down how much time each request spent in the Web tier, Web architecture (such as Struts), EJB tier, JDBC calls, and so forth. Finally, request-level recordings provide an overview of all requests executed during a recording, the number of times they were executed, and their minimum, maximum, and average response times. Request-level recordings are good for identifying candidates for method-level recordings in subsequent tests. Custom Components Custom components group classes and/or packages together into a black box: the call enters the black box, does some stuff, and then either returns or makes calls out of the black box. The tool captures and records the response time of the entire black box, but does not provide detailed call traces for it. Good candidates for custom components are third-party libraries. For example, if you use JDOM to parse your XML files, it suffices to know the overall contri bution of JDOM to response time you do not need to know the intricacies of where JDOM is spending all of its time. After all, if you find a performance problem (which is still visible by using the custom component), it does not do you any good to isolate the root cause of the problem, because you cannot change the code. Of course, if you are a nice person, then you can isolate the problem and report back the root cause to the development community to enhance the product in the future, but the root cause of a JDOM problem does not belong in your performance analysis report. Preproduction Strategy We start performance analysis in preproduction because ideally, if you can reproduce user load, preproduction is the best environment to test in. Here, you can subject the environment to as much load and overhead as is required to identify performance issues. For your testing efforts to be effective, you need to do a little bit of legwork first, including the following:
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