One of the most important parts of a successful Performance Test is getting the requirements right. No matter what tool you use or how well you script, your test won’t succeed if you are not accurately simulating end-user activity on the application. Traditionally, the user volume has been a mix of current load levels from log files and projected load from the business. More recently, analytics have been so easily implementable that every site these days, even small blogs, have analytics information.
So how can we use Analytics to help build a realistic load profile for performance testing?
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