We demonstrate a prototype system called COLD that we are developing at IBM Research which provides optimized deployment of workload in the cloud. A workload refers to an application, consisting of virtual entities (e.g. VM, volume), to be deployed in a cloud infrastructure, consisting of physical entities (e.g. PM, storage). The resource requirements of the virtual entities, as well as metadata describing relations among virtual entities (e.g. location proximity requirement), are described using a declarative workload definition language, namely using a HOT template. COLD provides a clean separation between the underlying mechanisms offered by a given cloud environment for lifecycle management of virtual resources and policies that influence optimal placement. The current implementation of COLD is tied to Open Stack, though we have plans in the future to make it cloud agnostic. It is designed to be fault-tolerant. In a software defined environment of an Open Stack cloud with various hyper visors, we show the operation of COLD to place various Heat stacks that contain specific policies such as rack-level antic location.