Move containers to AWS Fargate and replace MySQL with the MySQL-compatible Aurora Serverless v2

Why the Answer Is Correct

The requirement is a serverless architecture with the fewest changes, and that is best achieved by changing as little of the existing application as possible. On the compute side, replacing the Docker containers running on EC2 instances with AWS Fargate removes the instances and their Auto Scaling management while keeping the same container artifacts and the same Application Load Balancer in front, so the application code inside the containers needs no modification; Fargate is serverless in the sense that the infrastructure is managed for you (B). On the data side, replacing the self-managed MySQL database with Amazon Aurora Serverless v2 removes the database server management, and because Aurora Serverless v2 is MySQL-compatible the application's existing SQL statements, connection code, and driver configuration continue to work unchanged, while capacity scales automatically with load (B). Since neither the container code nor the query code has to be rewritten, this is the fewest-changes path. CHRIS12722222 selected this pairing directly. B is the correct answer.

Why the Other Options Are Wrong

C replaces the containers and the ALB with Lambda functions and replaces MySQL with Amazon DynamoDB tables. This changes the compute model and the database model at the same time. As eugene2owl explained, moving from SQL to a NoSQL database requires rewriting the queries and the data model, which is a substantial code change, and this option compounds that by also replacing the load balancer and container model with Lambda. A replaces the containers and ALB with Lambda functions and replaces MySQL with Aurora Serverless v2. The database half is the compatible choice, but replacing the containers with Lambda is a larger rewrite than moving the same containers to Fargate, because the application must be restructured to fit the Lambda execution model and the ALB integration changes; Srikantha favored this option on the grounds that Lambda is more purely serverless, but that reasoning does not address the rewrite cost that eugene2owl raised. D replaces the containers with Fargate, which is the right compute move, but replaces MySQL with DynamoDB tables, which as eugene2owl noted requires moving from SQL to NoSQL and therefore multiple code changes. B is correct.

Community Comment Notes

Community was split, B (80) against A (20). CHRIS12722222 selected Fargate with Aurora Serverless v2, which is the pairing in B. eugene2owl gave the decisive reasoning that B is the most easy-to-implement option as the question asks, because the other options require moving from SQL to NoSQL, which requires multiple code changes, and additionally moving from Docker containers to Lambda. Srikantha was the sole dissenter, favoring A because Lambda is more fundamentally serverless and because Aurora Serverless v2 preserves MySQL compatibility, minimizing query changes; this overlooks that B also preserves MySQL compatibility while requiring a smaller compute change. The majority view is better supported by the fewest-changes requirement.