Deploy Databricks jobs and pipelines with Declarative Automation Bundles. Use when deploying jobs to different environments, managing deployments, or setting up deployment automation. Trigger with phrases like "databricks deploy", "asset bundles", "databricks deployment", "deploy to production", "bundle deploy".
Deploy Databricks jobs, DLT pipelines, and ML models using Declarative Automation Bundles (DABs, formerly Asset Bundles). Bundles provide infrastructure-as-code with databricks.yml defining resources, targets (dev/staging/prod), variables, and permissions. The CLI handles validation, deployment, and lifecycle management.
databricks --version)databricks.yml bundle configuration at project root# Create from a template
databricks bundle init
# Available templates:
# - default-python: Python notebook project
# - default-sql: SQL project
# - mlops-stacks: Full MLOps template with feature engineering
databricks.yml# databricks.yml — single source of truth for project deployment