Databricks Audit Toolkit: Scheduling Automated Audits

Scheduling Automated Audits This guide explains how to run the Databricks Audit Toolkit on a schedule using common orchestration tools: cron, Azure Data Factory, Databricks Workflows, and GitHub Actions. Prerequisites Before scheduling, ensure: Service principal or long-lived token for authentication Environment variables configured in the execution environment Python 3.8+ with requests, jinja2, tabulate installed Network access from the runner to your Databricks workspace Recommended environment variables export DATABRICKS_HOST='https://your-workspace.cloud.databricks.com' export DATABRICKS_TOKEN='dapi...' export AUDIT_OUTPUT_DIR='/var/audit/output' export AUDIT_LOG_LEVEL='INFO' export AUDIT_COMPANY_NAME='Acme Corp' Security tip: Use a service principal token instead of a personal access token for automated runs. Service principals can be scoped to read-only permissions and are not tied to individual user accounts. Option 1: Cron (Linux / macOS) The simplest approach for a dedicated V