Estimating AWS workload cost with GenAI

The attached document is a workload proposal for migrating an application from a customer's
data center to AWS. I need to develop a cost estimate for running this workload on AWS.

To begin, identify the AWS services we need to use. Be specific - for example, 
instead of saying 'EMR', say 'EMR Serverless', 'EMR on EKS', or 'EMR on EC2'.

Answer in JSON format like this:

<example>
{
    "services": [
        {
            "service": "EFS"
        },
        {
            "service": "S3"
        }
    ]
}
</example>

The attached document is a workload proposal for migrating an application from a customer's
data center to AWS. I need to develop a cost estimate for running this workload on AWS.

For the AWS service <SERVICE>, list the inputs necessary to estimate monthly cost.

The service's pricing information is below:

<PRICING_INFO>
<PRICING_HERE>
</PRICING_INFO>

Now, for <SERVICE>, pull out the relevant information from the document that we can use 
to provide the inputs for cost calculations.

For <SERVICE>, can you estimate any missing inputs using other information in the document?

Now use that infomration to compute the projected monthly cost for <SERVICE>.

Your answer should be a list of pricing line items
Each line item should include the following:
* A description of the line item
* The unit cost
* The price dimension (e.g., price per hour)
* The quantity
* The total cost
* The confidence level (e.g., high, medium, low)
* The input type (e.g., assumption, input directly from the proposal, calculation)

Use only final answers, not intermediate calculations. When giving numbers, use valid
floating point format; do not use currency symbols or commas.

The attached document is a workload proposal for migrating an application from a customer's
data center to AWS. I need to develop a cost estimate for running this workload on AWS.

In previus steps, you identified the AWS services used in this workload, and generated a list
of pricing line items for each service. 

In this step, revied the workload and all the pricing line items using this scoring rubric. Score each item on a 
range of 1-5 with 5 being the highest. Give the final score as a total of the scores for each item.

Completeness - does it adequately capture all the aspects of an AWS workload, including security, logging, and monitoring services?
Accuracy - Does it provide a logical summary of the expected cost?
Assumptions - Does it make unreasonable assumptions about the cost inputs or outputs?
Statistical sense - Does it assume that we know some inputs to an overly precise level? 

<COST_INFO>
<SERVICE_LINES>
</COST_INFO>

Scoring rubric:

1. Completeness (4/5): The cost estimate covers the major AWS services needed for the proposed architecture, including databases, compute instances, file storage, and data transfer services. However, it does not include costs for security services (e.g., VPC, security groups), logging, or monitoring, which could be important components of a production workload.

2. Accuracy (3/5): The cost estimate provides a logical breakdown of pricing for the different services and resources required. However, there are several assumptions made without clear justification, such as the storage and throughput requirements for EFS, FSx, and DataSync, which could significantly impact the overall cost.

3. Assumptions (3/5): While some assumptions are reasonable, such as the instance types and database storage requirements based on the source document, others seem arbitrary or lack clear explanations, like the assumptions around EFS storage, FSx throughput, and DataSync data transfer volumes.

4. Statistical sense (4/5): The cost estimate generally avoids overly precise inputs, with most quantities being rounded or estimated. However, some inputs, like the number of requests for S3, seem unnecessarily precise without justification.

Total score: 14/20

Overall, the cost estimate covers the major components of the proposed architecture and provides a logical breakdown of pricing. However, it could be improved by including additional services for security, logging, and monitoring, as well as providing clearer justifications for some of the assumptions made around storage and throughput requirements.