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Jamf builds Amazon Bedrock spend enforcement

Tokenomics at scale: How Jamf built real-time spend enforcement for Amazon Bedrock

Why we picked it

The solution provides a blueprint for cost control in cloud AI services, relevant for enterprises across ASEAN managing AWS Bedrock deployments.

Jamf implemented real-time spend enforcement for Amazon Bedrock using IAM Customer Managed Policies and Amazon Athena cost views. The solution uses a serverless AWS Lambda loop to apply tiered model limits in near-real-time. This approach prevents cost overruns without disrupting active user sessions. The system addresses cost governance challenges as generative AI adoption scales.

Image · AWS Machine Learning Blog
Original · AWS Machine Learning Blog

Tokenomics at scale: How Jamf built real-time spend enforcement for Amazon Bedrock

As generative AI adoption scales, cost governance becomes a top challenge. Learn how Jamf built real-time, per-user spend enforcement for Amazon Bedrock using IAM Customer Managed Policies, an Amazon Athena cost view, and a serverless AWS Lambda loop that applies tiered model limits in near-real-time without disrupting active sessions.