Build a proactive AI cost management system for Amazon Bedrock – Part 1

As organizations embrace generative AI powered by Amazon Bedrock, they face the challenge of managing costs associated with the token-based pricing model. Amazon Bedrock offers a pay-as-you-go pricing structure that can potentially lead to unexpected and excessive bills if usage is not carefully monitored. Traditional methods of cost monitoring, such as budget alerts and cost anomaly detection, can help spot unexpectedly high usage but are reactive in nature. To address costs proactively, it is vital to use both leading and trailing indicators.

Leading indicators are predictive signals that help you anticipate future trends or potential issues before they fully materialize. These indicators provide proactive insights that allow for timely intervention. In contrast, trailing indicators are retrospective measurements that confirm what has already occurred. By understanding and tracking both types of indicators, organizations can develop more strategic and responsive decision-making processes.

In this two-part series, we introduce a comprehensive solution for ...