A company has a small Python application that processes JSON documents and writes results to an on-premises SQL database. The application runs thousands of times per day. The company wants to move the application to the AWS Cloud and requires a highly available solution that maximizes scalability and minimizes operational overhead. Which solution meets these requirements?

The correct solution leverages AWS Lambda for serverless execution, which automatically scales to handle thousands of daily runs without managing servers, thus minimizing operational overhead. S3 is a highly available and durable object storage service, ideal for storing JSON documents. Aurora is a highly available, scalable, and performant relational database service. Incorrect options: Running Python code on multiple EC2 instances requires manual scaling and management, increasing operational overhead. Using an EBS volume for JSON documents is not suitable for a highly available and scalable solution, as EBS is tied to a single Availability Zone and EBS Multi-Attach has limitations. While SQS and ECS with EC2 launch type can be scalable, Lambda offers superior operational overhead reduction for this specific use case of processing documents as they arrive.