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AWS shares a playbook for managing Amazon Bedrock AI costs

AWS outlines a five-stage operating model to attribute, observe, enforce, and optimize AI spend on Amazon Bedrock.

AWS shares a playbook for managing Amazon Bedrock AI costs — image from AWS
Image: AWS

Summary

AWS published a playbook for FinOps and platform teams to manage Amazon Bedrock costs across five steps. The guide covers attributing inference costs to IAM principals, logging request metadata, and enforcing budgets through three viable tiers.

What changed

  • AWS published a five-stage playbook for managing Amazon Bedrock costs.
  • Amazon Bedrock automatically attributes inference costs to IAM principals.
  • Model invocation logging tracks request data, response data, and metadata.
  • Budget enforcement relies on three tiers based on spend velocity and risk tolerance.

Availability

Available now

“In this post, you learn how to manage Amazon Bedrock cost in five steps.”

Founder takeaway

Platform and FinOps teams should review the five-stage playbook to establish cost attribution, metadata logging, and budget enforcement for Amazon Bedrock workloads.

Source

AWSManaging Amazon Bedrock costs end to end: A playbook for FinOps and platform teams | Amazon Web Services

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