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Dynamic parameterization of data, in which internal identifiers that define the execution context must be replaced with variables that will take correct values from startup to startup, extracted from responses to requests to the system. For example, there was a user ID received at login, which must be presented in all subsequent transactions. For more information, see Requests correlation.
A group of transactions executing a single test scenario. Transactions send HTTP requests during test execution in the specified order. For more information, see Create a group.
A set of operations with specified intensities, received on the basis of statistical data collection or determined by analyzing the requirements for the testing system.
A statistical measure indicating the value that a given random variable doesn’t exceed with a specified probability. For example, the percentile 95 equal to “X” means that 95% of the system response times to a request or transaction doesn’t reach the value of “X” and only 5% of the response times exceed this value.
A set of user actions grouped together to measure time, which represent the actual user actions in the application. A transaction can contain several requests or a sequence of actions that arrive at the server with the specified metrics (SLA).
A report that is created based on the results of two or more load tests and allows you to analyze the trend of changes in the parameters of the testing system. The results are displayed in tables and graphs. For more information, see Create trend reports.
Sending notifications when the test status changes, for example, when it’s finished. You can use webhooks as triggers in CI/CD pipelines. For more information, see Add a settings set.