A company runs a traffic sensor related IoT platform on AWS. Applications are hosted on EC2 instances and receive sensor data containing traffic information in real time. Applications are written in Node.js and have an Application Load Balancer in front. The backend includes an Amazon RDS MySQL DB instance that uses a 4 TB General Purpose SSD volume. The company want to deploy the application to a much larger number of sensors. During initial testing the API servers were consistently overloaded and RDS metrics showed high write latency. Which of the following steps together will resolve the issues permanently and enable growth as new sensors are provisioned, while keeping this platform cost-efficient? (Select TWO.)