How do you effectively optimize your object storage expenses without sacrificing data retrieval performance when balancing active application resources against deep cold archives? Furthermore, Google Cloud Storage structures its tiers to trade lower monthly storage costs for higher retrieval fees. Why does understanding minimum storage durations and access frequencies form the operational foundation of cloud cost optimization?