data-engineer video for a data engineering team wants to orchestrate multiple Amazon ECS task types running on Amazon EC2 instances that are part of the Amazon
A data engineering team wants to orchestrate multiple Amazon ECS task types running on Amazon EC2 instances that are part of the Amazon ECS cluster. The output and state data for all tasks need to be stored. The amount of data output by each task is approximately 20 megabytes and there could be hundreds of tasks running at a time. As old outputs are archived, the storage size is not expected to exceed 1 terabyte. Which of the following would you recommend as an optimized solution for high-frequency reading and writing?