Description: This session presents an evolution of an ongoing experiment of synchronizing vehicle data to cloud backends using VISS. The integration is updated to the latest VISS release and expanded to explore additional feeder capabilities that better reflect how vehicle data can be mapped, transformed, and scaled in backend systems. The scope is extended by simulating a larger vehicle fleet to provide a more realistic view of data volume, structure, and access patterns. The talk focuses on practical observations and trade-offs, and proposes a reference architecture that can be used both for hands-on experimentation and for guiding early design decisions on how to model and manage connected vehicle data in the cloud.