# MLOps

> MLOps - Deploy, monitor, manage, and govern all your models in production with the Python API
> client.

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 `2026-04-24T16:03:56.283664+00:00` (UTC).

## Primary page

- [MLOps](https://docs.datarobot.com/en/docs/api/dev-learning/python/mlops/index.html): Full documentation for this topic (HTML).

## Related documentation

- [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page.
- [Developer learning](https://docs.datarobot.com/en/docs/api/dev-learning/index.html): Linked from this page.
- [Python API client user guide](https://docs.datarobot.com/en/docs/api/dev-learning/python/index.html): Linked from this page.
- [Deployments](https://docs.datarobot.com/en/docs/api/dev-learning/python/mlops/deployment.html): Linked from this page.
- [Batch monitoring](https://docs.datarobot.com/en/docs/api/dev-learning/python/mlops/batch-monitoring.html): Linked from this page.
- [Challenger models](https://docs.datarobot.com/en/docs/api/dev-learning/python/mlops/challengers.html): Linked from this page.
- [Model Registry](https://docs.datarobot.com/en/docs/api/dev-learning/python/mlops/model_registry.html): Linked from this page.
- [Custom models](https://docs.datarobot.com/en/docs/api/dev-learning/python/mlops/custom_model.html): Linked from this page.
- [Custom metrics](https://docs.datarobot.com/en/docs/api/dev-learning/python/mlops/custom_metrics.html): Linked from this page.
- [Data exports](https://docs.datarobot.com/en/docs/api/dev-learning/python/mlops/data_exports.html): Linked from this page.
- [Jobs](https://docs.datarobot.com/en/docs/api/dev-learning/python/mlops/jobs.html): Linked from this page.
- [Key values](https://docs.datarobot.com/en/docs/api/dev-learning/python/mlops/key_values.html): Linked from this page.

## Documentation content

# MLOps

DataRobot MLOps provides a central hub to deploy, monitor, manage, and govern all your models in production.

| Topic | Description |
| --- | --- |
| Deployments | Deploy, manage, and monitor models; batch predictions; model replacement; monitoring data. |
| Batch monitoring | Manage batch monitoring job definitions and jobs for batch-enabled deployments. |
| Challenger models | Create and manage challenger models to compare against the deployed champion. |
| Model Registry | Create and manage registered models and versions. |
| Custom models | Manage custom inference models and execution environments. |
| Custom metrics | Define and submit custom metrics for deployments. |
| Data exports | Export prediction, actuals, training, and data quality data. |
| Jobs | Run and manage custom jobs. |
| Key values | Manage key-value configuration for the platform. |