clearml-docs/docs/deploying_clearml/clearml_server.md

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title: ClearML Server
---

## What is ClearML Server? 
The **ClearML Server** is the backend service infrastructure for **ClearML**. It allows multiple users to collaborate and manage their experiments by working seamlessly with the **ClearML Python Package** and [**ClearML Agent**](clearml_agent.md). **ClearML Server** is composed of the following:

* Web server including the **ClearML Web UI**, which is the user interface for tracking, comparing, and managing experiments.
* API server which a RESTful API for:

    * Documenting and logging experiments, including information, statistics, and results.
    * Querying experiments history, logs, and results.

* File server which stores media and models making them easily accessible using the **ClearML Web UI**.

The [**ClearML Hosted Service**](https://app.community.clear.ml) is essentially the **ClearML Server** maintained for you.

![image](../img/ClearML_Server_Diagram.png)

**ClearML Web UI** is the **ClearML** user interface and is part of **ClearML Server**.

Use the **ClearML Web UI** to:

* Track experiments
* Compare experiments
* Manage experiments

For detailed information about the **ClearML Web UI**, see [User Interface](../webapp/webapp_home.md).

ClearML Server also comes with a [services agent](../clearml_agent.md#services-mode) preinstalled.

## Deployment

The **ClearML Server** can be deployed in any of the formats listed below. Once deployed, configure the server for web login 
authentication, sub-domains, and load balancers, and use any of its many configuration settings.

**To deploy your own ClearML Server:**

1. Deploy ``clearml-server`` using any of the available formats, which include:

    * Pre-built [AWS EC2 AMIs](clearml_server_aws_ec2_ami.md)
    * Pre-built [Google Cloud Platform custom images](clearml_server_gcp.md)
    * Pre-built Docker images for [Linux](clearml_server_linux_mac.md), [macOS](clearml_server_linux_mac.md), and 
      [Windows 10](clearml_server_win.md)
    * [Kubernetes using Helm](clearml_server_kubernetes_helm.md)

1. Optionally, [configure ClearML Server](clearml_server_config.md) for additional features, including sub-domains and load balancers, 
   web login authentication, and the non-responsive task watchdog.

1. [Configure ClearML for ClearML Server](clearml_config_for_clearml_server.md)

## Updating

When necessary, upgrade your ClearML Server on any of the available formats:
* [AWS EC2 AMIs](upgrade_server_aws_ec2_ami.md)
* [Google Cloud Platform](upgrade_server_gcp.md)
* [Linux or MacOS](upgrade_server_linux_mac.md)
* [Windows 10](upgrade_server_win.md)
* [Kubernetes using Helm](upgrade_server_kubernetes_helm.md).

If you are using v0.15 or Older, [upgrade to ClearML Server](clearml_server_es7_migration.md).