Execute Databricks production deployment checklist and rollback procedures. Use when deploying Databricks jobs to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "databricks production", "deploy databricks", "databricks go-live", "databricks launch checklist".
Complete checklist for deploying Databricks jobs and pipelines to production. Covers security hardening, infrastructure validation, code quality gates, job configuration, deployment commands, monitoring setup, and rollback procedures.
databricks-observability)system.access.audit# Verify infrastructure
databricks clusters list-node-types --output json | jq '.[0:5] | .[].node_type_id'
databricks instance-pools list --output json | jq '.[] | {id: .instance_pool_id, name: .instance_pool_name}'
pytest tests/unit/).collect() on large datasets# Run tests and validate bundle
pytest tests/ -v --tb=short
databricks bundle validate -t prod
# resources/prod_etl.yml