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About
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.
How it works
Whether you’re looking to improve your testing processes or stay ahead of industry shifts, this resource will guide you through the key challenges and solutions.
Using LoadRunner’s database
Understanding the raw data
Analyzing the test results
Going beyond standard reporting
Best for
This white paper is for Performance Testers and Engineers, QA Managers and Test Leads, and Software Development Teams, IT Operations & DevOps Teams, and Organizations with Complex Testing Needs who rely on LoadRunner for performance testing and want to extract deeper insights from their test data.
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