  Cloud Service Providers deliver their products in form of 'as-a-Service',
which are typically categorized by the level of abstraction. This approach
hides the implementation details and shows only functionality to the user.
However, the problem is that it is hard to measure the performance of Cloud
services, because they behave like black boxes. Especially with
Function-as-a-Service it is even more difficult because it completely hides
server and infrastructure management from users by design. Cloud Service
Prodivers usually restrict the maximum size of code, memory and runtime of
Cloud Functions. Nevertheless, users need clarification if more ressources are
needed to deliver services in high quality. In this regard, we present the
architectural design of a new Function-as-a-Service benchmarking tool, which
allows users to evaluate the performance of Cloud Functions. Furthermore, the
capabilities of the framework are tested on an isolated platform with a
specific workload. The results show that users are able to get insights into
Function-as-a-Service environments. This, in turn, allows users to identify
factors which may slow down or speed up the performance of Cloud Functions.
