You are an ML engineer at a travel company. You have been researching customers’ travel behavior for many years, and you have successfully deployed multiple models that predict customers’ vacation patterns based on historical data. Through your research, you have observed that customers' vacation destinations change based on seasonality and holidays, yet these variations show consistent patterns across different years. To better analyze and compare the performance of your predictive models across different seasons and years, you need a solution that allows you to quickly and easily store and compare the model versions and their performance statistics. What approach should you take?