A company that provisions job boards for a seasonal workforce is seeing an increase in traffic and usage. The backend services run on a pair of Amazon EC2 instances behind an Application Load Balancer with Amazon DynamoDB as the datastore. Application read and write traffic is slow during peak seasons. Which option provides a scalable application architecture to handle peak seasons with the LEAST development effort?

1. Migrate the backend services to AWS Lambda. Increase the read and write capacity of DynamoDB.
2. Migrate the backend services to AWS Lambda. Configure DynamoDB to use global tables.
3. Use Auto Scaling groups for the backend services. Use DynamoDB auto scaling.
4. Use Auto Scaling groups for the backend services. Use Amazon Simple Queue Service (Amazon SQS) and an AWS Lambda function to write to DynamoDB.