Assuming that a caching service will automatically lower costs can be misleading because while a caching layer improves read performance and lessens the burden on the database by storing frequently accessed data, it also introduces additional overhead. The cost savings are dependent on the application's specific read/write patterns and the cost of the caching infrastructure. For instance, when using a caching service like Amazon DynamoDB Accelerator, if the expense of running the caching nodes outweighs the benefits of read performance improvements—perhaps due to the application's access patterns not being cache-friendly or the cache hit ratio being low—there might not be a net reduction in costs. Therefore, it is necessary to thoroughly analyze whether a caching layer is a cost-effective solution for the given scenario.
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What are read/write patterns in the context of NoSQL databases?
What is a cache hit ratio and why is it important?
Can you explain what Amazon DynamoDB Accelerator (DAX) is?