Guidance for Cost Analysis and Optimization with Amazon Bedrock Agents
Overview
This Guidance shows how to analyze and optimize AWS service costs using Amazon Nova language model and automated workflows. The Guidance combines Amazon Bedrock Agents with AWS Lambda functions to generate cost forecasts and specific savings recommendations, all while keeping implementation costs low. Organizations can deploy this self-managed system to make better decisions about their AWS resource usage and spending without requiring significant upfront investment or ongoing maintenance.
Benefits
Streamline FinOps with intelligent agents
Deploy specialized Amazon Bedrock Agents that automatically route cost inquiries to the appropriate analysis or optimization workflows, reducing manual effort while providing consistent, accurate financial insights across your organization.
Accelerate cost optimization decisions
Enable stakeholders to interact naturally with AI agents that access AWS Cost Explorer and Trusted Advisor recommendations in real-time. Make data-driven cost decisions faster without navigating multiple AWS consoles or dashboards.
Simplify cloud financial management
Implement a secure, authentication-enabled solution that combines cost analysis and optimization in one conversational interface. Focus on acting on financial insights rather than gathering and interpreting complex AWS billing data.
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
Deploy with confidence
Everything you need to launch this Guidance in your account is right here
We'll walk you through it
Dive deep into the implementation guide for additional customization options and service configurations to tailor to your specific needs.
Let's make it happen
Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs.
Disclaimer
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.
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