Which solution will meet these requirements?
Implement the lazy loading caching strategy
Implement the write-through caching strategy
Implement the adding TTL caching strategy
Implement the AWS AppConfig caching strategy
Explanations:
The lazy loading caching strategy loads data into the cache only when it is requested, which means data in the cache may not always match the data in the database immediately after an update or addition. This does not fulfill the requirement of keeping cache data consistent with the database.
The write-through caching strategy ensures that whenever data is added or updated in the database, it is also simultaneously written to the cache. This guarantees that the cache always contains the most current data, aligning with the requirement that the cache must always match the database.
The adding TTL (Time-to-Live) caching strategy involves setting a time limit for how long data remains in the cache before it is considered stale. This can lead to situations where the cache data does not match the database data until the TTL expires and the cache is refreshed, which does not meet the requirement of immediate consistency.
The AWS AppConfig caching strategy is primarily used for managing application configurations and is not directly related to caching data from a database. It does not provide the necessary mechanisms to ensure data consistency between a cache and a database, thus failing to meet the requirement.
I systematize that the answer is:
Implement the write-through caching strategy