Optimal Solution for Caching in Write-Heavy Applications

Answer: B.

Option A is incorrect because, for write-heavy applications, it is preferable to use ElastiCache for Redis with Cluster Mode Enabled because it provides additional write endpoints.

Option B is CORRECT because ElastiCache for Redis with Cluster Mode Enabled clusters provide multiple write-endpoints which can be used to distribute traffic for write-heavy applications.

Option C is incorrect because Amazon DAX is a caching solution specific to DynamoDB.Option D is incorrect because Write-Through caching strategy is related to the consistency of data in cache in relation to the base source database.

It is not relevant to the scenario.

Reference:

In this scenario, we have an application that performs frequent write operations, and we want to implement a caching solution to improve its performance. Let's examine each option:

A. Deploy Amazon ElastiCache for Redis (Cluster Mode Disabled) cluster. Amazon ElastiCache is a managed in-memory cache service that supports Redis and Memcached. By deploying ElastiCache for Redis, we can improve the performance of our application by storing frequently accessed data in memory.

However, this option may not be the best solution for our scenario since the application is write-heavy, meaning that the frequency of write operations is higher than read operations. ElastiCache for Redis performs better in read-heavy scenarios since it is optimized for reading data from the cache.

B. Deploy Amazon ElastiCache for Redis (Cluster Mode Enabled) cluster. This option is similar to the previous one, but it enables clustering. Cluster Mode Enabled in ElastiCache for Redis allows us to scale horizontally by adding or removing nodes to the cluster, increasing the cache's capacity and improving performance.

However, as in option A, this may not be the best solution for a write-heavy application since the performance of ElastiCache for Redis may decrease as the frequency of write operations increases.

C. Deploy Amazon DAX cluster. Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache for DynamoDB. It is designed to improve the performance of read and write operations for DynamoDB tables.

DAX can improve the performance of write-heavy applications since it supports write-through caching, meaning that write operations are first written to the DAX cache and then to DynamoDB. This ensures that the data in the cache and the database is consistent.

D. Implement Write-Through caching strategy. This option involves implementing a caching strategy in which all write operations are first written to the cache and then to the database. This approach ensures that the data in the cache and the database is consistent, and it can improve the performance of write-heavy applications by reducing the number of write operations to the database.

However, implementing a caching strategy from scratch can be complex and time-consuming, and it may require significant development efforts.

In conclusion, option C, deploying Amazon DAX cluster, is the optimal solution for a write-heavy application since it supports write-through caching and is designed to improve the performance of read and write operations for DynamoDB tables.