Two major sources of uncertainty challenge the development of cloud applications are : (i) the maintenance
cost uncertainty caused by cloud APIs heterogeneity and vendor lock-in; and (ii) the performance uncertainty
caused by virtualization. The MODAClouds project developed an integrated modelling environment to cope with
these challenges. In this paper we report how Softeam leveraged the MODAClouds model-driven methodology
and environment to cloudify its collaborative modelling application called Constellation. The environment supports the modelling of cloud applications using domain-specific UML extensions, integrating specialized tools
by means of model transformations. This paper focuses on three tools: CLOUDML, SPACE4Clouds and LINE.
The first tool, CLOUDML, provides abstractions to represent deployment models at design-time together with
the run-time tool to enact the deployment and adaptation of cloud applications. LINE and SPACE4Cloud allow developers to analyse the application performance, considering common causes of uncertainty in virtualized