# MLOps
URL: https://docs.datarobot.com/en/docs/api/dev-learning/python/mlops/index.html

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

# 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. |

---
