  When optimizing software for the cloud, monolithic applications need to be
partitioned into many smaller *microservices*. While many tools have been
proposed for this task, we warn that the evaluation of those approaches has
been incomplete; e.g. minimal prior exploration of hyperparameter optimization.
Using a set of open source Java EE applications, we show here that (a) such
optimization can significantly improve microservice partitioning; and that (b)
an open issue for future work is how to find which optimizer works best for
different problems. To facilitate that future work, see
[https://github.com/yrahul3910/ase-tuned-mono2micro](https://github.com/yrahul3910/ase-tuned-mono2micro)
for a reproduction package for this research.
