Managing Amazon Bedrock costs end to end: A playbook for FinOps and platform teams
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This article presents a five-stage operating model for managing Amazon Bedrock costs, designed for FinOps and platform engineering teams. The first stage focuses on attributing every dollar to specific owners using IAM principal tags and AWS Cost and Usage Reports. The second stage ensures observability by logging request metadata to identify which workloads generate spend. The third stage involves enforcing budgets through three tiers of control, ranging from simple alerts to synchronous gateway blocking. The fourth stage optimizes defaults by implementing intelligent prompt routing and caching to reduce unnecessary token consumption. Finally, the fifth stage operates a continuous review loop using a scorecard to monitor metrics like cache efficiency and model mix. This approach shifts cost management from reactive bill reviews to a proactive architectural discipline. By following these steps, organizations can achieve granular visibility and control over their generative AI expenditures.
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