Preconfigured AMI that connects CUR 2.0, S3, Glue, and Athena so you can validate your AWS billing pipeline and query live cost data without manual setup.
Get a preconfigured AWS cost data environment up and running without building the server stack from scratch. Cost Intelligence AI Server for AWS is an AWS Marketplace AMI built by Code Creator that provides a ready-made foundation for working with CUR 2.0 Data Exports, Amazon S3, AWS Glue, and Amazon Athena - so your team can focus on analyzing billing data instead of assembling infrastructure.
Who Is This For?
FinOps engineers who need to validate that AWS billing data is flowing correctly before building dashboards or reports
Cloud platform teams standing up cost visibility tooling for multi-account environments
Finance and engineering leads preparing for quarterly cost reviews who need fast access to live billing query results
Organizations onboarding new business units that require rapid validation of CUR 2.0 data delivery and Athena-based cost analysis
What You Get
This AMI delivers a setup, validation, and query server for AWS cost data. Code Creator engineering provides the following capabilities preconfigured and ready to use:
Preconfigured cost data environment - Docker-based services configured to work with CUR 2.0, S3, Glue, and Athena out of the box
AWS billing service integration workflow - Connects your instance to your existing AWS billing export location
First-boot customer onboarding - Guided setup process that walks you through configuration on initial launch
Pipeline validation - Confirms that AWS cost data is flowing correctly from your billing export through the data pipeline
Live Athena query capability - Returns real-time query results from your billing export data
Application health verification - Monitors the health of all services running on the instance
How It Works
Launch the AMI from AWS Marketplace into your AWS account
Attach an EC2 IAM role with the necessary permissions for S3, Glue, and Athena access
Connect the instance to your AWS billing export location in S3
Create or point to an existing Athena database and Glue crawler
Complete the setup process using the first-boot onboarding workflow
Validate and query - Confirm billing data delivery and run live Athena queries against your cost and usage data
Prerequisites
Before launching this AMI, ensure you have the following in place:
An active CUR 2.0 Data Export configured in your AWS account (the AMI connects to an existing export rather than creating one)
An S3 bucket containing your billing export data
An EC2 IAM role with permissions to access S3, Glue, and Athena resources
An Athena database and Glue crawler (you can create these during setup or point to existing ones)
AWS Services Integrated
This server connects directly with core AWS billing and analytics services:
AWS CUR 2.0 Data Exports - Source billing data
Amazon S3 - Storage for billing export files
AWS Glue - Crawler and catalog for structuring billing data
Amazon Athena - SQL query engine for live cost and usage analysis
Standard AWS infrastructure charges for EC2, S3, Glue, and Athena apply separately based on your usage of those services.
Important Notes
This product is a setup, validation, and query server for AWS cost data. It helps you confirm that billing data is flowing correctly and enables live Athena queries against your CUR 2.0 export. It is designed to accelerate the process of assembling a working environment for CUR 2.0 and Athena-based billing analysis.
Highlights
Preconfigured AWS cost data environment with CUR 2.0, S3, Glue, and Athena connectivity ready at first boot. Instead of manually configuring each service, attaching IAM roles, setting up Glue crawlers, and troubleshooting connectivity between components, this server provides a unified environment where the billing data pipeline is assembled and connected for you.
Built-in pipeline validation checks confirm that your billing data export, Glue crawler, Athena database, and S3 connectivity are functioning correctly. The server verifies application health and data pipeline integrity so you can identify configuration issues before they affect your cost reporting workflow. This reduces the troubleshooting burden that typically accompanies manual assembly of a CUR 2.0 environment.
Live Athena cost data query capability lets you run queries against your AWS billing data directly from the server environment. Once the pipeline is validated, you can immediately begin querying CUR 2.0 data through Amazon Athena without switching between consoles or configuring query output locations separately. The server includes Docker service configuration and application health verification to keep the environment operational.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay by the hour based on the EC2 instance type you run. The software price is the same across sizes; your cost changes with the compute capacity you pick. Options include burstable t2 and t3 instances for lighter or variable workloads. The m6i and m6id families cover general-purpose needs, with m6id adding local storage. Within each family, sizes scale from large up to 32xlarge, so hourly cost rises as you choose more CPU and memory. Pick the instance that matches your workload, then pay only for the hours you use.
Top-of-mind questions for buyers
What do I actually get for each hourly instance charge?
You get one running EC2 instance of the type you select, billed per hour. The instance type sets the CPU and memory you receive. For example, t2 and t3 are burstable, while m6i and m6id are general-purpose. The m6id types add local NVMe storage attached to the instance.
Am I charged when my instance is stopped or powered off?
The software meters only the hours your instance runs. When you fully stop or terminate the instance, software charges stop. Underlying AWS fees, such as storage for stopped instances, may still apply separately. The hourly software price accrues only while the instance is active.
Does moving to a larger instance size change the software price I pay?
The software price is the same across all sizes within this listing. Your total hourly cost rises because larger sizes use more compute capacity, not because the software rate changes. Sizes scale from large up to 32xlarge. Pick the size that matches your workload.
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An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Updated Cost Intelligence AI Server for AWS by Code Creator applies current Ubuntu security updates, validates Docker service startup, refreshes first-login customer guidance, fixes firstboot launch messaging, and confirms application health on a fresh AMI test instance.
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