When configuring a load group, you define how the selected test case will be executed
at scale. Each parameter allows you to model realistic user behavior and enforce performance
expectations.
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Log in to Test Manager.
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Go to Performance Scenarios, open a scenario, and expand a load group.
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Under Virtual users, specify the number of concurrent simulated users
assigned to the test case. Each group can support up to 500 virtual users, with
a total of 2,000 across a scenario. Check the number of VU units and machines
consumed after a Dry Run, based on your selection.
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Define performance expectations. Breaching these thresholds will highlight
warnings or errors in the results dashboard, allowing you to identify unstable
scenarios.
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- In the Max. response time threshold field, specify the
upper time limit (in ms) that responses should not exceed (e.g.,
5,000 ms for Group 1).
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- In the Average error rate threshold, specify the
acceptable failure rate (%) across all executions (e.g.,
1%).
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In the Data source field, link a Data Fabric entity (also known as a
Data Service entity) as the data source to feed parameterized inputs such as
user credentials or account details. This ensures that each virtual user can run
with unique data, avoiding collisions and making execution closer to real-world
usage.
Tip: To use Data Fabric for Performance Testing, ensure that your
test case supports test data consumption from Data Fabric. For information
on using Data Fabric test data in your tests, refer to
Data-driven testing. When this
test case is included in a
Load Group, you can configure a
specific data source at the group level. This allows you to
define and use a dedicated Data Fabric source for your performance test
executions.
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Specify how the load is applied over time. Together, these settings allow you
to model realistic traffic patterns such as gradual adoption, steady-state
usage, and controlled shutdown.
- The Delay field shows the wait time before the load group starts
execution (e.g., 0 minutes).
- The Ramp up field shows the period over which the number of
concurrent users is gradually increased until the maximum number of
users is reached (e.g., 2 minutes).
- The Peak field shows the duration during which the maximum number
of users remain active (e.g., 26 minutes).
- The Ramp down field shows the period over which the number of
users gradually decreases to zero (e.g., 2 minutes).
