A healthcare company is running containerized ML applications to process patient data and generate predictive insights. These applications are deployed across Amazon EC2 instances, Amazon Elastic Container Service (Amazon ECS) cluster and AWS Lambda functions. The EC2 and ECS workloads store predictions and artifacts on Amazon Elastic Block Store (Amazon EBS) volumes. To optimize costs, the company wants to identify inefficiently used resources and receive actionable recommendations to reduce expenses. What is the most efficient solution to achieve this goal with minimal development effort?