Introduction Managing cloud costs efficiently is a critical aspect of operating in Databricks, especially when leveraging serverless compute. Budget Policies provide a structured way to track, monitor, and manage serverless usage across different workloads, such as Notebooks, Jobs, DLT Pipelines, and Model Serving. While Budget Policies do not directly enforce spending limits, they enable organizations to attribute costs accurately and integrate with Databricks Budget for more…