Productionize your Databricks Apps agent

Once you've authored an agent and deployed it on Databricks Apps, take it to production in this order:

Page	Description
1. Set up CI/CD for your Databricks Apps agent	Automate Databricks Apps deploys from GitHub Actions. Uses workload identity federation (no long-lived secrets) and a starter workflow shipped in the agent templates.
2. Load test your Databricks Apps agent	Find the maximum QPS your agent can sustain. Run a ramp-to-saturation load test against a mock-LLM build of your agent to isolate Databricks Apps infrastructure throughput from model latency.
3. Govern LLM usage with Unity AI Gateway	Route LLM calls through Unity AI Gateway. Centralize permissions, attribute cost per app, swap models, and inspect or replay traffic without modifying agent code.

For generic Databricks Apps CI/CD that isn't agent-specific, see CI/CD for Databricks Apps with GitHub Actions.