# Deployment reports

> Deployment reports - Learn about deployment reports, which summarize details of a deployment, such
> as its owner, how the model was built, the model age, and the humility monitoring status.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-10-09T14:05:25.072426+00:00` (UTC).

## Primary page

- [Deployment reports](https://docs.datarobot.com/en/docs/workbench/console/monitoring-tools/reports.html.md): Full documentation for this topic (Markdown sidecar).

## Sections on this page

- [Generate a deployment report](https://docs.datarobot.com/en/docs/workbench/console/monitoring-tools/reports.html.md#generate-a-deployment-report): In-page section heading.
- [Schedule deployment reports](https://docs.datarobot.com/en/docs/workbench/console/monitoring-tools/reports.html.md#schedule-deployment-reports): In-page section heading.
- [Next steps](https://docs.datarobot.com/en/docs/workbench/console/monitoring-tools/reports.html.md#next-steps): In-page section heading.

## Related documentation

- [NextGen UI documentation](https://docs.datarobot.com/en/docs/workbench/index.html.md): Linked from this page.
- [Console](https://docs.datarobot.com/en/docs/workbench/console/index.html.md): Linked from this page.
- [Monitoring](https://docs.datarobot.com/en/docs/workbench/console/monitoring-tools/index.html.md): Linked from this page.
- [Service health](https://docs.datarobot.com/en/docs/workbench/console/monitoring-tools/service-health.html.md): Linked from this page.
- [Data drift](https://docs.datarobot.com/en/docs/workbench/console/monitoring-tools/data-drift.html.md): Linked from this page.
- [Accuracy](https://docs.datarobot.com/en/docs/workbench/console/monitoring-tools/accuracy.html.md): Linked from this page.

## Documentation content

Ongoing monitoring reports are a critical step in the deployment and governance process. DataRobot allows you to download deployment reports from MLOps, compiling deployment status, charts, and overall quality into a shareable report. Deployment reports are compatible with all deployment types.

## Generate a deployment report

To generate a report for a deployment, select it from the Deployments inventory, navigate to the Monitoring > Reports tab and click Generate report now:

In the Settings for report generation panel, select the Model, Date range, and Date resolution, then click Generate report:

When the report generation is finished, click the view icon to open the report in your browser or the download icon to open it locally:

## Schedule deployment reports

In addition to manual creation, DataRobot allows you to manage a schedule to generate deployment reports automatically. To schedule report generation for a deployment, select the deployment from the Deployments inventory and navigate to the Monitoring > Reports tab. On the Deployment reports page, click + Create new report schedule:

In the report panel, configure the Report Schedule (UTC) and Report Contents and Recipients:

> [!TIP] Advanced scheduling
> For more granular scheduling controls, you can click Use advanced schedule.

After defining the report schedule and recipients, click Save report schedule. The reports automatically generate at the configured dates and times. The generated report appears on the Monitoring > Reports tab.

You can edit or delete the report schedule from the list:

## Next steps

Deployment reports summarize the health and quality data tracked across other monitoring tabs; review those tabs directly for more detail.

- Service health : Review the response time, error rate, and load metrics included in your deployment reports.
- Data drift : Investigate feature and prediction drift details behind the drift statistics summarized in a report.
- Accuracy : Examine the accuracy metrics and statistics that a deployment report compiles over the selected date range.