Agile working methods, faster product cycles and increasing system complexity create new challenges for testing. Results must be available quickly and in large numbers. However, this often exceeds the capacity of conventional infrastructures. Our solutions therefore scale with the test volume – from individual systems to distributed test systems in clouds and clusters.
Only with a comprehensive overview of the current product development status can well-founded decisions be made. Manual system and acceptance tests in the vehicle and on test benches help here, but are time-consuming and available only to a limited extent. We therefore complement these approaches with virtual testing in SiL and MiL environments.
Our tool chain enables both single user systems and parallel execution on distributed systems with any number of physical machines, virtual machines or containers. We rely on technologies such as Docker and Kubernetes to support both internal clusters and public clouds. We scale dynamically depending on the desired test throughput.
And to avoid losing track of the flood of data, all results are compiled and analyzed centrally in test.guide – so that you can use test resources where they are needed. Of course, we will not leave you on your own in this process. Our engineering teams support you in all tasks, from initial cluster setup to operation in the cloud and data analysis.