Which solution will meet these requirements?
Deploy containers on Amazon Elastic Container Service (Amazon ECS). Set up the containers to run the tasks on Amazon EC2 instances. Choose Amazon Elastic File System (Amazon EFS) as the volume type. Deploy an Amazon RDS Multi-AZ DB instance with read replicas as the database solution.
Deploy containers on Amazon Elastic Container Service (Amazon ECS). Set up the containers to run the tasks on AWS Fargate. Choose Amazon Elastic File System (Amazon EFS) as the volume type. Deploy Amazon Aurora Serverless as the database solution.
Deploy containers on Amazon Elastic Kubernetes Service (Amazon EKS). Set up the containers to run the tasks on AWS Fargate. Choose Amazon S3 as the volume type. Deploy Amazon Aurora Serverless as the database solution.
Deploy containers on Amazon Elastic Container Service (Amazon ECS). Set up the containers to run the tasks on AWS Fargate. Choose Amazon Elastic Block Store (Amazon EBS) as the volume type. Deploy Amazon Aurora Serverless as the database solution.
Explanations:
While deploying on Amazon ECS with EC2 instances and using Amazon EFS for shared storage is viable, this approach incurs more operational overhead and management complexity. It also lacks the cost-efficiency and serverless benefits provided by Fargate, which would be preferable for minimizing overhead. The RDS Multi-AZ setup is robust but may be more costly and complex compared to Aurora Serverless.
This option effectively uses Amazon ECS with AWS Fargate for serverless container management, minimizing operational overhead. Using Amazon EFS allows for shared storage across containers. Amazon Aurora Serverless offers scalability, high availability, and cost savings by automatically adjusting capacity based on demand, making it suitable for a high-traffic application.
While this option uses Amazon EKS with Fargate, which is also a valid serverless container option, it suggests using Amazon S3 as a volume type, which is not suitable for shared storage in this context. S3 is object storage and not directly usable as a filesystem for containers. Aurora Serverless is appropriate, but the overall solution is not ideal due to the S3 choice.
Although this option utilizes Amazon ECS with Fargate and Aurora Serverless, it suggests using Amazon EBS for volume type, which is not suitable for shared access across multiple containers since EBS volumes can only be attached to one EC2 instance at a time. Therefore, it does not meet the requirement for managing shared application data effectively.
I organize that the answer is:
Deploy containers on Amazon Elastic Container Service (Amazon ECS). Set up the containers to run the tasks on AWS Fargate. Choose Amazon Elastic File System (Amazon EFS) as the volume type. Deploy Amazon Aurora Serverless as the database solution.