You are adding a caching layer in front of an Amazon Aurora database and must ensure the application always reads the most up-to-date value for each item. Which caching strategy satisfies this requirement?

A write-through cache ensures data consistency by writing data to both the cache and the backing database simultaneously. This guarantees that the cache always contains the most up-to-date value, satisfying the requirement for always reading the latest data. Applying a TTL helps manage cache staleness but doesn't guarantee immediate consistency upon write. Lazy loading (load on demand) and read-through caching only populate the cache when data is requested, meaning the first read after a write might still hit the database if the item isn't in the cache, or retrieve stale data if the cache wasn't updated. These strategies prioritize read performance and cache efficiency over immediate write consistency.