Which solution will meet these requirements MOST cost-effectively?
Migrate the existing RDS for MySQL database to an Aurora Serverless v2 MySQL database cluster.
Migrate the existing RDS for MySQL database to an Aurora MySQL database cluster.
Migrate the existing RDS for MySQL database to an Amazon EC2 instance that runs MySQL. Purchase an instance reservation for the EC2 instance.
Migrate the existing RDS for MySQL database to an Amazon Elastic Container Service (Amazon ECS) cluster that uses MySQL container images to run tasks.
Explanations:
Aurora Serverless v2 automatically adjusts capacity based on demand and can scale down to zero when not in use, making it cost-effective for applications with infrequent usage like this one, operating only 2 hours weekly.
Aurora MySQL does not offer the same level of cost optimization for sporadic workloads as Aurora Serverless, as it requires provisioning instances that incur costs even when the database is not in use.
Running MySQL on an EC2 instance would involve managing and maintaining the instance, and purchasing a reservation for EC2 would not be cost-effective given the limited usage (2 hours per week) compared to serverless options.
Using Amazon ECS with MySQL containers involves additional management overhead and does not inherently provide cost savings compared to using a managed database service like RDS or Aurora Serverless. It may also incur costs for running containers even when not in use.
I calculate that the answer is:
Migrate the existing RDS for MySQL database to an Aurora Serverless v2 MySQL database cluster.