In this session, I explored the hidden cost drivers in Google Cloud Platform (GCP) architectures and the architectural decisions that often lead to unnecessary cloud spend. I covered key areas including data transfer and egress costs, persistent disk and storage optimization strategies, and the impact of idle compute resources. The session focused on practical techniques for identifying cost inefficiencies and designing cloud-native architectures that are both scalable and cost-effective.