An architect is reviewing a legacy application running on m4.large EC2 instances. The application is CPU-bound and performance is degrading. The architect wants to improve performance while reducing costs. The application is written in interpreted languages (Python/Node.js). What is the BEST strategy?

Answer options:

Upgrade to m5.xlarge instances.

Migrate the instances to AWS Graviton-based instances (e.g., m6g.large).

Implement an Auto Scaling group to add more m4.large instances.

Move the application to AWS Lambda.

How to approach this question

Look for the instance family that provides better price-performance for compatible workloads.

B.Migrate the instances to AWS Graviton-based instances (e.g., m6g.large).✓ Correct

Migrate the instances to AWS Graviton-based instances (e.g., m6g.large).

AWS Graviton processors provide better performance at a lower cost compared to x86 processors, ideal for interpreted languages.

Choosing vertical scaling (larger x86 instances) which increases costs.

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