Analytical approaches for a comprehensive understanding of the metabolic networks in microbial cultures are mostly based on small-scale cultures which are in a steady state or undergo dynamic changes. For drawing conclusions to industrial-scale bioprocesses, however, it is important to understand that cells in large-scale bioreactors are exposed steadily to fast changes, because of an inhomogeneous environment. Analytical approaches that aim for large-scale bioprocess understanding need to apply specific laboratory simulators. Recent developments in cell cultivation techniques and computational tools provide improved possibilities to evaluate how a process will behave in the final scale. These simulators will pave the way for screening robust strains and process conditions.