Étape 4 : Configurez les paramètres du groupe de charge

Lors de la configuration d'un groupe de charge, vous définissez comment le cas de test sélectionné sera exécuté à grande échelle. Chaque paramètre vous permet de modéliser un comportement utilisateur réaliste et d'appliquer les attentes de performances.

1. Connectez-vous à Test Manager.
2. Accédez à Scénarios de performances, ouvrez un scénario et développez un groupe de charge.
3. 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.
4. Définissez les attentes en matière de performances. Le dépassement de ces seuils mettra en évidence des avertissements ou des erreurs dans le tableau de bord des résultats, vous permettant d’identifier des scénarios instables.
   • • 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).
   • • In the Average error rate threshold, specify the acceptable failure rate (%) across all executions (e.g., 1%).
5. 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.
   Astuce :

   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.

6. Decide whether you want to keep Studio parameters as is or override them. To override Studio parameters, under Parameters, select Override. In the Override parameters dialog, perform the required action.
   • To override Studio parameters individually, toggle Override. For String types, enter a new value. For Boolean types, select True or False. When finished, select Save.
   • To override all Studio parameters, select Override all. Enter or select the new values. When finished, select Save.
   • To remove all Studio parameter overrides, select Remove overrides, and then select Save.
7. Indiquez comment la charge a été appliquée au fil du temps. Ensemble, ces paramètres vous permettent de modéliser des modèles de trafic réalistes tels qu'une adoption progressive, une utilisation régulière et un arrêt contrôlé.
   • 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).