LLM Trace Storage Cost: Why Your S3 Bill Exploded, and 3 Fixes
A significant cost issue has emerged for teams using LLM tracing, primarily due to the large storage requirements of prompts and responses. Storing full LLM trace payloads without a retention policy can drastically increase AWS S3 bills. The article proposes three solutions: sampling successful traces while retaining all errors, implementing tiered storage with lifecycle policies for older data, and optimizing the data stored by focusing on critical information. AI
IMPACT Optimizing LLM tracing storage can significantly reduce operational costs for AI development teams.