Which solution will meet these requirements with the LEAST operational overhead?
Create an Auto Scaling group so that EC2 instances can scale out. Configure an S3 event notification to send events to an Amazon Simple Notification Service (Amazon SNS) topic when the upload to the S3 bucket is complete.
Create an Amazon AppFlow flow to transfer data between each SaaS source and the S3 bucket. Configure an S3 event notification to send events to an Amazon Simple Notification Service (Amazon SNS) topic when the upload to the S3 bucket is complete.
Create an Amazon EventBridge (Amazon CloudWatch Events) rule for each SaaS source to send output data. Configure the S3 bucket as the rule’s target. Create a second EventBridge (CloudWatch Events) rule to send events when the upload to the S3 bucket is complete. Configure an Amazon Simple Notification Service (Amazon SNS) topic as the second rule’s target.
Create a Docker container to use instead of an EC2 instance. Host the containerized application on Amazon Elastic Container Service (Amazon ECS). Configure Amazon CloudWatch Container Insights to send events to an Amazon Simple Notification Service (Amazon SNS) topic when the upload to the S3 bucket is complete.
Explanations:
While creating an Auto Scaling group may help with handling more load, it does not directly address the issue of improving performance related to the data transfer from SaaS sources to S3. Additionally, using EC2 instances for both receiving and uploading data adds operational overhead compared to serverless options.
Amazon AppFlow is designed for transferring data between SaaS sources and AWS services like S3 with minimal setup and maintenance. This solution reduces the need for managing EC2 instances and automatically handles data transfer, thus significantly reducing operational overhead. The S3 event notification to SNS for completion alerts users, which meets the requirement efficiently.
While using Amazon EventBridge for event-driven architecture could be efficient, setting up rules for each SaaS source can lead to increased complexity and management overhead. This option does not simplify operations as much as AppFlow does and relies on multiple rules, which could be cumbersome to maintain.
Although containerizing the application using Amazon ECS could potentially improve scalability and resource utilization, it introduces additional operational complexity by requiring management of container orchestration. This solution does not simplify the architecture compared to using AppFlow and may still face performance issues inherent in managing EC2 instances and containers.
In my opinion, the answer is:
Create an Amazon AppFlow flow to transfer data between each SaaS source and the S3 bucket. Configure an S3 event notification to send events to an Amazon Simple Notification Service (Amazon SNS) topic when the upload to the S3 bucket is complete.