In this contribution we will address how we have been preparing to perform bulk image processing for the needs of the Rubin Observatory annual data release processing campaigns for the duration of the survey. We will present the architecture of the system we deployed with focus on the storage, compute and data transfer components and how we have been testing the system at significant scale. We will highlight and motivate some of the solutions we adopted which have proven effective for our successful contribution to other large science projects like CERN’s Large Hadron Collider. We will also cover our initial experience with components deployed for the specific needs of scientific exploitation of Rubin data such as the astronomical catalog database and the Rubin science platform.