Database Caching Strategies Using Redis
Publication date: March 8, 2021 (Document Revisions)
Abstract
In-memory data caching can be one of the most effective strategies for improving your overall application performance and reducing your database costs.
You can apply caching to any type of database, including relational
databases (such as
Amazon
Relational Database Service
One of the benefits of caching is that it’s an easier option to
implement, and it dramatically improves the speed and scalability of
your application. Caching can also apply to objects (for instance,
objects stored in
Amazon Simple Storage Service
This whitepaper describes some of the caching strategies and implementation approaches that address the limitations and challenges associated with disk-based databases.
