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This tool can be used to measure the amount of time consumed by atomic pieces of the application: It automatically reports on the amount of time spent on each step of the page-rendering process. It can easily be extended to include metrics around different steps in your call stack, such as how long it s taking to execute a stored procedure. You can use it to aggregate reports, which can be sent to custom data stores. This is an easy-to-use tool that generates a basic script to send traffic to your application. It watches the requests you make to the web server during a script recording session. A Visual Basic script is generated that reproduces the session, and the tool plays back the script, mocking up any number of users and any number of instances of the web browser. The tool then reports on the server s performance. You can modify the script to provide further customization during the test. This is the standard Windows tool for gathering system metrics. It has dozens of counters added to it when the .NET Framework is installed. You can use these to watch application counts, the number of loaded assemblies, or the average response time of the server, to name a few. This is an invaluable tool for watching what s occurring on SQL Server. It captures all traffic coming into the server, counts connections, and provides execution times of individual queries. This is a more advanced API for adding instrumentation to your .NET applications. The package leverages several facilities built into the operating system, such as Windows Management Instrumentation (WMI), the event log, and event tracing. Part of the Enterprise Library, this package standardizes many common tasks required to instrument code. It leverages the Enterprise Instrumentation Framework and an event-based logging infrastructure so the persistent store of the log can be controlled via configuration.
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CHAPTER 1 OVERVIEW OF .NET APPLICATION ARCHITECTURE
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These are but a few of the tools available from Microsoft, and there is, of course, a rich third-party market for more advanced testing in this area. Remember, if you don t calibrate the performance of your application before putting it into production, you can make no claims about how it will perform once it s deployed. A simple failure to adhere to a best practice, hidden deep in the call stack, could impede the performance of the entire system. This won t show up as developers sit at their workstations and press F5 within IE as fast as they can. It must be put under load. This load should approximate the traffic you expect when the application goes into production. While performance measures how fast the current system is, scalability is a measure of how much performance improves as resources are added to the system.
Scalability
Scalability describes the system s capability to deal with additional load. You may have only a dozen hits a day when your application goes into production, but as it generates a buzz, you may shortly find yourself with hundreds or thousands of concurrent users. Will your application be able to handle this additional load Have you designed it to scale up and/or scale out, and given it the capability to add capacity Scalability is closely related to performance, but they aren t the same thing. Performance is a measure of a static deployment of the system. Scalability is the measure of how well adding resources to the infrastructure of the system improves its capability to service additional requests. As you add resources, do you get a corresponding bump in the throughput of the application Or are you losing bang for the bucks that go into these resources There are two types of scaling: scaling up, which is also called vertical scaling, and scaling out, also known as horizontal scaling.
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