> ## Documentation Index
> Fetch the complete documentation index at: https://docs.domino.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Set up monitoring for Domino endpoints

You must set up model monitoring for each Domino endpoint that you want to monitor.

## Prerequisites

* When you [trained the model](/cloud/reference/api/data_api/trainingsets_usecases/create_trainingset), you registered or used a Domino Training Set in the same project from which you’re looking to publish a Domino endpoint.

* If you will perform Model Quality analysis, set up your data sources for ground truth data. See [Connect a Data Source](/cloud/platform-capabilities/features/monitoring/4-set-up-model-monitor/2-connect-a-data-source).

### Set up monitoring for Domino endpoints

The following topics explain the steps:

1. [Set up Prediction Data Capture](/cloud/platform-capabilities/features/monitoring/3-set-up-domino-endpoints/1-set-up-prediction-capture). Prediction data is required for monitoring both data drift and model quality.

2. [Publish the Domino endpoint](/cloud/platform-capabilities/features/model-deployment#deploy-a-model). Domino starts to log prediction data (and convert it to Parquet files), but it does not yet produce monitoring data.

3. [Set up Drift Detection](/cloud/platform-capabilities/features/monitoring/3-set-up-domino-endpoints/2-set-up-drift-detection). Register a training set to monitor data drift.

   * Optional: Configure [Set up Notifications](/cloud/platform-capabilities/features/monitoring/3-set-up-domino-endpoints/5-set-up-notifications) or change the [scheduled checks](/cloud/platform-capabilities/features/monitoring/3-set-up-domino-endpoints/6-set-scheduled-checks).

4. [Validate your Setup](/cloud/platform-capabilities/features/monitoring/3-set-up-domino-endpoints/2-set-up-drift-detection#validate-your-setup). Confirm that your predication data is being captured.

5. [Set up Model Quality Monitoring](/cloud/platform-capabilities/features/monitoring/3-set-up-domino-endpoints/3-set-up-model-qual-monitor). Ingest ground truth data to monitor the quality of the model’s predictions.

   * Optional: Configure [Set up Notifications](/cloud/platform-capabilities/features/monitoring/3-set-up-domino-endpoints/5-set-up-notifications) or change the [scheduled checks](/cloud/platform-capabilities/features/monitoring/3-set-up-domino-endpoints/6-set-scheduled-checks).

6. [Set up Cohort Analysis](/cloud/platform-capabilities/features/monitoring/3-set-up-domino-endpoints/4-set-up-cohort-analysis). Get insights into model quality so you can find underperforming data hotspots for model remediation.