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    Cost Intelligence AI Server for AWS by Code Creator

     Info
    Deployed on AWS
    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.

    Overview

    Cost Intelligence AI Server for AWS

    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

    1. Launch the AMI from AWS Marketplace into your AWS account
    2. Attach an EC2 IAM role with the necessary permissions for S3, Glue, and Athena access
    3. Connect the instance to your AWS billing export location in S3
    4. Create or point to an existing Athena database and Glue crawler
    5. Complete the setup process using the first-boot onboarding workflow
    6. 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.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS
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    Features and programs

    Financing for AWS Marketplace purchases

    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.
    Financing for AWS Marketplace purchases

    Pricing

    Cost Intelligence AI Server for AWS by Code Creator

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (18)

     Info
    Dimension
    Cost/hour
    t3.large
    Recommended
    $0.019
    t2.2xlarge
    $0.019
    t3.medium
    $0.019
    m6i.2xlarge
    $0.019
    t3.2xlarge
    $0.019
    m6i.4xlarge
    $0.019
    m6i.8xlarge
    $0.019
    m6id.4xlarge
    $0.019
    m6i.large
    $0.019
    m6id.large
    $0.019

    AI Insights

     Info

    Dimensions summary

    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

    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.
    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.
    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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    Vendor refund policy

    No contracts. We do not currently support refunds, but you can cancel at any time.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    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.

    Support

    Vendor support

    For support inquiries related to the Cost Intelligence AI Server for AWS, contact Code Creator by email at info@codecreator.com .

    Support covers questions about the preconfigured AMI, including first-boot setup, pipeline validation, and general product functionality.

    For additional context on the underlying AWS services used by this product, the following AWS documentation may be helpful:

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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