How can this workload be optimized to meet these requirements?
Use CloudFormer to create AWS CloudFormation stacks from the current resources. Deploy that stack by using AWS CloudFormation in the same region. Use Amazon CloudWatch alarms to send notifications about underutilized resources to provide cost-savings suggestions.
Create an Auto Scaling group to scale the instances, and use AWS CodeDeploy to perform the configuration. Change from a load balancer to an Application Load Balancer. Purchase a third-party product that provides suggestions for cost savings on AWS resources.
Deploy the application by using AWS Elastic Beanstalk with default options. Register for an AWS Support Developer plan. Review the instance usage for the application by using Amazon CloudWatch, and identify less expensive instances that can handle the load. Hold monthly meetings to review new instance types and determine whether Reserved Instances should be purchased.
Deploy the application as a Docker image by using Amazon ECS. Set up Amazon EC2 Auto Scaling and Amazon ECS scaling. Register for AWS Business Support and use Trusted Advisor checks to provide suggestions on cost savings.
Explanations:
CloudFormer is outdated and cannot be used effectively to optimize scaling or instance utilization. CloudWatch alarms can help monitor utilization, but they are not sufficient on their own to optimize resource usage automatically.
While Auto Scaling and CodeDeploy can handle scaling and configuration, using a load balancer (Application Load Balancer) is not sufficient to optimize the correct instance sizes. A third-party cost-saving product adds unnecessary complexity.
Elastic Beanstalk simplifies deployment but does not provide automatic optimization of instance sizes. The AWS Support Developer plan is basic and does not offer detailed cost-saving recommendations. Monthly meetings for reviewing instance types are inefficient for continuous optimization.
Amazon ECS with Auto Scaling provides efficient management of containerized applications, allowing for dynamic scaling. Trusted Advisor checks provide ongoing cost-saving suggestions, which are critical for optimizing instance sizes and resources in real-time. AWS Business Support offers access to these checks.
I infer that the answer is:
Deploy the application as a Docker image by using Amazon ECS. Set up Amazon EC2 Auto Scaling and Amazon ECS scaling. Register for AWS Business Support and use Trusted Advisor checks to provide suggestions on cost savings.