Rational Performance Tester V8

You can record a certain parts of the application that you want to test. Rational Performance Tester generates a test out the recording. You can then edit the tests by adding dynamic data and verification points. Run the test individually and inspect the results to make sure that the test is doing what you expect. You can then emulate a workload by adding user groups in the schedule editor. Each user group contains multiple tests with appropriate workload. For example, on a typical retail web site, 80% of the user traffic are browsers and 20% are buyers. Schedules are typically run on a remote server that has high-end configuration. Rational Performance TesterAgent is installed on that server and connected with the workbench.

You can use the Agent Controller feature of Rational Performance Tester Agent to debug the performance bottlenecks at the code level. The data collection infrastructure collects performance profiling data for distributed applications and sends the data to the workbench computer, where you can view and analyze the collected data. Data collection is supported on IBM WebSphere® Application Server and Oracle WebLogic Application Server. You can also import data from IBM Tivoli Composite Application Manager to collect response time breakdown.

With Rational Performance Tester, you can monitor the computer resources such as processor or memory usage when running a schedule.

Rational Performance Tester provides a variety of reports to analyze the performance bottlenecks in the application under test. There are multiple reports for each protocol or domain.

The percentages after each section title reflect the approximate distribution of the total question set across the sections. 

Section 1 - Workload Analysis: 15%

1.    Model the system under test

2.    Identify testing goals

3.    Identify performance measurements

Section 2 - Creating Tests: 25%

1.    Creating and enhancing tests

2.    Recording transactions

3.    Validate and debug tests

4.    Adding test elements

5.    Adding custom code

Section 3 - Managing Test Data: 20%

1.    Identifying test data

2.    Using datapools

3.    Correlating data

Section 4 - Creating Schedules: 20%

1.    Enhancing schedules

2.    Design and represent workloads

3.    Changing schedule settings

4.    Setting up large test runs

Section 5 – Reporting: 20%

1.    Evaluate test results

2.    Customizing reports

3.    Extract and export data from reports