Which solution meets these requirements with the LEAST operational overhead?
Create an AWS Lambda function that uses the Docker container image with an Amazon S3 mounted volume that has more than 50 GB of space.
Create an AWS Lambda function that uses the Docker container image with an Amazon Elastic Block Store (Amazon EBS) volume that has more than 50 GB of space.
Create an Amazon Elastic Container Service (Amazon ECS) cluster that uses the AWS Fargate launch type. Create a task definition for the container image with an Amazon Elastic File System (Amazon EFS) volume. Create a service with that task definition.
Create an Amazon Elastic Container Service (Amazon ECS) cluster that uses the Amazon EC2 launch type with an Amazon Elastic Block Store (Amazon EBS) volume that has more than 50 GB of space. Create a task definition for the container image. Create a service with that task definition.
Explanations:
AWS Lambda does not support mounting Amazon S3 as a volume; S3 is an object storage service, and Lambda functions cannot use external storage volumes like EBS or EFS directly. Additionally, AWS Lambda has limitations on execution time and storage, making it unsuitable for this use case.
AWS Lambda does not support using Amazon Elastic Block Store (EBS) volumes. EBS is designed for use with EC2 instances and cannot be attached to Lambda functions, which limits the ability to provide the required 50 GB of temporary storage.
Using Amazon ECS with Fargate allows for serverless deployment of containers. Fargate automatically manages the infrastructure, and Amazon Elastic File System (EFS) can be mounted to provide persistent storage that meets the 50 GB requirement for temporary files without the need for managing servers.
This option requires the use of the EC2 launch type, which is not serverless. Using EC2 involves managing the underlying instances, which increases operational overhead. While it can use EBS for storage, it does not align with the requirement for a serverless solution.