LoadRunner Tutorial: Transforming LoadRunner Data into Information and Action

This tutorial shows you how to extract the data out of LoadRunner and put it into a database where it can be easily queried for analysis.

Web applications need to support thousands of users simultaneously. Rather than going live and hoping for the best, HP's LoadRunner can simulate hundreds or thousands of concurrent users.

After execution of the script, LoadRunner is able generate graphs and reports to analyze and assess the performance of the application under various load scenarios, but going beyond the standard reports for detailed analysis sometimes requires more flexibility for data manipulation.

Accessing LoadRunner data is cumbersome and analysis or results verification requires extraction of raw data from LoadRunner's results files. But it's worth it as this allows for more in-depth analysis which can lead to easier identification of performance bottlenecks and benchmarking for improvements over time.

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