Sold by: Aminexus LLM
Professional service to build AI model invocation dashboards on AWS, visualizing usage, latency, errors, token consumption, and cost across Amazon Bedrock and related services.
Overview
AI Model Invocation Analytics Dashboard on AWS is a professional service for organizations that need clear visibility into how AI and generative AI models are being used. We design and deploy dashboards that help teams monitor invocation volume, latency, error rates, token consumption, model usage patterns, and estimated cost across Amazon Bedrock, Amazon SageMaker endpoints, and related AWS workloads.
The engagement can include solution discovery, data source design, AWS architecture, dashboard implementation, and operational handover. Depending on customer requirements, the implementation may use AWS services such as Amazon Bedrock, Amazon SageMaker, Amazon CloudWatch, AWS CloudTrail, Amazon S3, AWS Lambda, Amazon Athena, Amazon QuickSight, Amazon Managed Grafana, AWS IAM, and infrastructure-as-code templates.
For AWS Partner Revenue Measurement requirements, resources deployed or managed as part of this professional services engagement can include PRM resource tagging where applicable, using the required aws-apn-id tag value after the AWS Marketplace product code is available.
Highlights
- Design and deploy dashboards for AI model invocation visibility, including usage, latency, errors, token consumption, and estimated cost.
- Built with AWS services such as Amazon Bedrock, Amazon CloudWatch, Amazon S3, Athena, QuickSight, Lambda, and Managed Grafana.
- Supports implementation best practices including IAM least privilege, logging, monitoring, infrastructure-as-code, and PRM resource tagging when applicable.
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
Support is provided during the professional services engagement through email and scheduled project meetings.
Email: support@aminexustec.com Business hours: Monday to Friday, 9:00 AM - 6:00 PM, customer project timezone unless otherwise agreed.
Support includes implementation questions, dashboard configuration guidance, issue triage for delivered artifacts, and handover documentation.