Gatling FrontLine's Features
Architecture scheme of Gatling FrontLine
Gatling FrontLine is a backend for Gatling. You can manage all aspects of performance testing throught our web interface: Parametrization, Execution, Reporting, Administration.
With Gatling FrontLine’s clustering (or distributed) mode, you can run tests with a large and worldwide audience.
Gatling FrontLine will deploy your load injectors, close the instances after the test and aggregate your results live.
On-demand load injectors
With Gatling FrontLine, you can deploy your load injectors on on-demand instances.
We also support OpenShift and Kubernetes deployments.
Gatling FrontLine will do everything: open the instance, close the instance after the test and aggregate the results. You configure everything through Gatling FrontLine’s interface.
2. Advanced Reporting
With Gatling FrontLine, you can access your reports as soon as the test starts.
You don’t need to wait until the end of your test to get the first results.
Gatling FrontLine provides you with more metrics than the open-source version:
– TCP connections
– Bandwidth usage
– DNS resolutions
– Injectors‘ monitoring
You can trigger your tests, schedule them and get notified of any performance regressions.
Public APIs and Grafana datasource
Gatling FrontLine‘s public APIs are documented on Swagger.
Gatling FrontLine is designed to be integrated with all your developers’ tools. You can also build your own dashboards with our public APIs.
With our Grafana datasource, you can build your own reports and combine your Gatling FrontLine’s reports and those of your monitoring or APM solution.
4. Enterprise-Grade Features
With Gatling FrontLine, you can create users, roles and teams within your organization.
With a single instance of Gatling FrontLine, you can then manage different applications and different teams.
Feature also available:
Public links, titles, comments & markers
In Gatling FrontLine’s web interface, you can add markersto your reports, give them a title, write comments and share them thanks to our public links.
If a run status isn’t succesful, you can access the logs.