You work as an ML engineer at a travel company, and you've been studying customers' travel behavior for an extended period. During this time, you've deployed models to forecast customers' vacation patterns. You've noticed that customers' vacation choices are influenced by seasonality and holidays, and these seasonal patterns remain consistent across different years. Your goal is to efficiently store and compare model versions and performance metrics across multiple years. How should you approach this task?