The text discusses Tiered Storage Models in MongoDB, a method of prioritizing data storage based on latency requirements. It provides an example application where data is segmented by date, with recent data stored on faster servers and older data on slower servers, to improve performance and reduce costs. The article explains the benefits of using Tag-Aware Sharding, which allows for transparent migration of documents between shards without requiring custom code or database downtime. The process involves setting up a sharded cluster, assigning tags to shards, defining tag ranges, and loading data into the collection. The balancer automatically moves documents to comply with the tag ranges, allowing for flexibility in updating the cutoff point without affecting application performance. This approach simplifies the management of storage costs while maintaining low latency requirements for frequently accessed data.