This guide walks us through the steps to implement Budget Policies and Budget Policy limits on Serverless Compute in Databricks to effectively and accurately compute the costs incurred for compute usage. This guide covers step by step process of the implementation on the data platform to monitor and account for the cost incurred effectively.

Pre-Requisites

Databricks Admin access to set policies, view usage, manage tokens
Cluster Policy enabled to restrict compute types, enforce limits
Tags in place for team/project-level cost tracking
REST API/token access  for automation and enforcement
Reporting tools to visualize and alert on usage
Communication plan to ensure user awareness and adoption

Introduction

Databricks becomes central to analytics and AI pipelines, it’s crucial to balance performance with cost control. Serverless compute simplifies scalability, but without budget policies and usage limits, costs can spiral.