Automated Load testing is used to seek the answers to many different types of questions at different stages in the development and deployment of an application. Before a first deployment in production, these questions might be:”What load will my application support for a given level of performance?”"How will my application perform in time under nominal load?”"How will my application react to spikes in load levels?”"What changes do I need to make to reach a given level of performance at higher load levels?”"What do I need to do to increase the performance of my application?”"How does the new version perform as compared to the last one?”"How would the application react to loss of IT resources?”Once the application is in production, the questions are more pressing and the time to resolve performance issues is critical. The main questions at this stage are”Why is the application n weight loss tips ot delivering the expected performances?”"What needs to be done to quickly remedy performance issues in production?”These two sets of questions are of course very much related. However, the application performance management tools currently available on the market do not make it easy to leverage the pre-production test runs and results when in production or to feedback production performance data to better design further load testing runs. A first level of response to this issue can be offered by using the same performance monitoring tool both in pre and post deployment in order to quickly identify and debug performance issues. A more comprehensive way to address this issue is to use integrated products to link the load tests executed pre-production with the application performance monitoring set in place in production. Very few companies offer this type of integrated solution.