---
title: Nebius Cloud MLflow
description: >-
  Collect logs from Nebius Cloud MLflow experiment tracking and model lifecycle
  management.
breadcrumbs: Docs > Integrations > Nebius Cloud MLflow
---

# Nebius Cloud MLflow
Integration version1.0.0
{% callout %}
# Important note for users on the following Datadog sites: us2.ddog-gov.com

{% alert level="info" %}
To find out if this integration is available in your organization, see your [Datadog Integrations](https://app.datadoghq.com/integrations) page or ask your organization administrator.

To initiate an exception request to enable this integration for your organization, email [support@ddog-gov.com](mailto:support@ddog-gov.com).
{% /alert %}

{% /callout %}

## Overview{% #overview %}

Nebius Cloud MLflow provides a managed MLflow service for experiment tracking, model registry, and ML lifecycle management. This integration allows you to collect and analyze logs from your Nebius Cloud MLflow deployments through the [Nebius Cloud](https://nebius.com/) integration.

## Setup{% #setup %}

### Installation{% #installation %}

After you set up the [Nebius Cloud](https://nebius.com/) integration, ensure that MLflow log collection is enabled in your configuration.

## Data Collected{% #data-collected %}

### Logs{% #logs %}

Nebius Cloud MLflow log collection is enabled through the Nebius Cloud integration.

### Events{% #events %}

Nebius Cloud MLflow does not include any events.

### Service Checks{% #service-checks %}

Nebius Cloud MLflow does not include any service checks.

## Troubleshooting{% #troubleshooting %}

Need help? Contact [Datadog support](https://docs.datadoghq.com/help/).