The automated correlation process seems to be quite accurate with WebLOAD, in a sense that it correctly identifies many types of dynamic values within URLs, headers, and cookies. The code it generates is relatively concise so that it can be fine-tuned quite easily and does not require lengthy manual edits. The ability to work with Java objects provides the flexibility to address more unique testing requirements, such as homegrown applications.
By activating a real browser, you can measure its behavior and examine the real user experience while your system is under load. During execution, WebLOAD measures performance statistics that are collected by the browser, which enables viewing side by side the load size, Hits per Second of the test, and the real user experience on the same graph. To generate a virtual user load you can use both on-premise machines and the cloud.
You can define a variety of scripts, browsers, and network characteristics in a single test run. Using a scheduler, you can control the load build-up to mimic real-life conditions, using linear, steps, and increments of virtual users. Following a load test session, WebLOAD Analytics generates a set of reports and indicates places with threshold violations. You can choose from over 80 different reports and graphs to analyze test results from different angles. Reports are customizable letting you identify specific areas and compare metrics across load sessions.
You can choose from a variety of templates, apply filters, and control the layout. It generates Virtual Clients to test web applications. Virtual Clients emulate the actions of human users by performing actions on a web application.
It submits requests to the server and receives the response for every user action. To increase the load on the server, we have to increase the number of Virtual Clients. These editing modes enable us to edit our JavaScript Agenda. We can run and playback the Agendas. Once the Agenda is run, it returns response data from the Web server.
It is used to create, run, and monitor your Load Tests. It generates massive virtual user load locally and on the cloud, on Windows or Linux, via AWS or other cloud providers. WebLOAD Analytics is used to analyze your load test results, find bottlenecks, and create informative reports. It has a user-friendly dashboard that provides over 80 configurable report templates to do root cause analysis.
It also allows you to share the result across distributed teams. You can find extensive documentation in official site — Check this link. Hopefully, this WebLOAD review helped you understand the full value of this load testing tool so you can decide if it addresses your specific needs. WebLOAD makes it incredibly easy for you to do load tests and fix performance bottlenecks. The info collection helps greatly in building up root cause analysis reports. Lastly, this tool can analyze performance results even if you are not in the office.
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