AWS Machine Learning BlogT1·Tools
52 pts
AWS released a centralized observability data lake for Amazon Bedrock that captures per-invocation prompts, responses, token usage, and model identity, enabling per-call cost derivation. The solution ships with CloudFormation templates, Lambda code, and SQL queries on GitHub, helping platform and ML engineers debug spikes, spot wasteful prompts, and attribute usage across teams.