A Databricks team incurred unexpected cloud costs—approximately $14,000—due to a hidden interaction between their BI tool and a Serverless SQL Warehouse. This highlights a critical consideration for AI/ML/Data Science professionals adopting Serverless compute: seemingly simple configurations can lead to unexpected resource consumption if session lifecycle management isn't carefully considered. The incident underscores the need for granular permission controls, proactive cost monitoring, and a healthy skepticism of "serverless magic" to avoid similar financial surprises.
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