Which approach will improve performance and MINIMIZE management overhead?
Deploy Amazon DynamoDB, move all the data, and point to DynamoDB.
Deploy Amazon ElastiCache for Red is and cache the data for the application.
Deploy Memcached on Amazon EC2 and cache the data for the application.
Deploy Amazon DynamoDB Accelerator (DAX) on Amazon RDS to improve cache performance.
Explanations:
Moving to DynamoDB would involve changing the application’s logic and potentially a significant overhaul of the system, as well as possible data migration complexities. This would not minimize management overhead.
Amazon ElastiCache for Redis provides an in-memory cache to store frequent read data, significantly improving performance for read-heavy workloads. It also requires minimal management overhead compared to database changes or fully new systems.
Deploying Memcached on EC2 introduces additional management overhead, such as managing EC2 instances and scaling them. This would increase complexity compared to using a managed service like ElastiCache.
DAX is a caching solution for DynamoDB, not Amazon RDS. Therefore, it does not apply to this use case, where Amazon RDS is the database in use.
I plot that the answer is:
Deploy Amazon ElastiCache for Red is and cache the data for the application.
I deduce that the answer is:
Deploy Amazon ElastiCache for Red is and cache the data for the application.