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---
title: AWS EC2 AMIs
---
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Deployment of **ClearML Server** on AWS is easily performed using AWS AMIs, which are available in the AWS community AMI catalog.
The [ClearML Server community AMIs ](#clearml-server-aws-community-amis ) are configured by default without authentication
to allow quick access and onboarding.
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After deploying the AMI, configure the ClearML Server instance to provide the authentication scheme that
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best matches the workflow.
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For information about upgrading a ClearML Server in an AWS instance, see [here ](upgrade_server_aws_ec2_ami.md ).
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:::important
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If ClearML Server is being reinstalled, we recommend clearing browser cookies for ClearML Server. For example,
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for Firefox, go to Developer Tools > Storage > Cookies, and for Chrome, go to Developer Tools > Application > Cookies,
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and delete all cookies under the ClearML Server URL.
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:::
## Launching
:::warning
By default, **ClearML Server** deploys as an open network. To restrict **ClearML Server** access, follow the instructions
in the [Security ](clearml_server_security.md ) page.
:::
The minimum recommended amount of RAM is 8 GB. For example, a t3.large or t3a.large EC2 instance type would accommodate the recommended RAM size.
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**To launch a ClearML Server AWS community AMI**, use one of the [ClearML Server AWS community AMIs ](#clearml-server-aws-community-amis )
and see:
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* The AWS Knowledge Center page, [How do I launch an EC2 instance from a custom Amazon Machine Image (AMI)? ](https://aws.amazon.com/premiumsupport/knowledge-center/launch-instance-custom-ami/ )
* Detailed instructions in the AWS Documentation for [Launching an Instance Using the Launch Instance Wizard ](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/launching-instance.html ).
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## Accessing ClearML Server
Once deployed, **ClearML Server** exposes the following services:
* Web server on `TCP port 8080`
* API server on `TCP port 8008`
* File Server on `TCP port 8081`
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**To locate ClearML Server address:**
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1. Go to AWS EC2 Console.
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1. In the **Details** tab, **Public DNS (IPv4)** shows the ClearML Server address.
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**To access ClearML Server Web-App (UI):**
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* Direct browser to its web server URL: `http://<Server Address>:8080`
**To SSH into ClearML Server:**
* Log into the AWS AMI using the default username `ec2-user` . Control the SSH credentials from the AWS management console.
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### Logging in to the WebApp (UI)
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Enter any name to log in to the ClearML WebApp (UI). If needed, modify the default login behavior to match workflow policy,
see [Configuring Web Login Authentication ](clearml_server_config.md#web-login-authentication )
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on the "Configuring Your Own ClearML Server" page.
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## Storage Configuration
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The pre-built ClearML Server storage configuration is the following:
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* MongoDB: `/opt/clearml/data/mongo_4/`
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* Elasticsearch: `/opt/clearml/data/elastic_7/`
* File Server: `/mnt/fileserver/`
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## Backing Up and Restoring Data and Configuration
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:::note
If data is being moved between a **Trains Server** and a **ClearML Server** installation, make sure to use the correct paths
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for backup and restore (`/opt/trains` and `/opt/clearml` respectively).
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:::
The commands in this section are examples for backing up and restoring data and configuration.
If data and configuration folders are in `/opt/clearml` , then archive all data into `~/clearml_backup_data.tgz` , and
configuration into `~/clearml_backup_config.tgz` :
```bash
sudo tar czvf ~/clearml_backup_data.tgz -C /opt/clearml/data .
sudo tar czvf ~/clearml_backup_config.tgz -C /opt/clearml/config .
```
**If data and configuration need to be restored**:
1. Verify you have the backup files.
1. Replace any existing data with the backup data:
```bash
sudo rm -fR /opt/clearml/data/* /opt/clearml/config/*
sudo tar -xzf ~/clearml_backup_data.tgz -C /opt/clearml/data
sudo tar -xzf ~/clearml_backup_config.tgz -C /opt/clearml/config
```
1. Grant access to the data:
```bash
sudo chown -R 1000:1000 /opt/clearml
```
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## ClearML Server AWS Community AMIs
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The following section contains a list of AMI Image IDs per-region for the latest ClearML Server version.
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### Latest Version
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#### v1.5.0
* **eu-north-1** : ami-04d8b1f651b091e34
* **ap-south-1** : ami-086d37c0e1aaef50f
* **eu-west-3** : ami-05f14c59671b3bd61
* **eu-west-2** : ami-044c41dbc6f5be630
* **eu-west-1** : ami-0893958bcb3875f24
* **ap-northeast-3** : ami-0d3064dbbc12567e7
* **ap-northeast-2** : ami-0120ee0cf090b15e5
* **ap-northeast-1** : ami-04cc4968ac90af2ff
* **sa-east-1** : ami-087ea92ac13c445e3
* **ca-central-1** : ami-0bf0ee6c6529b7c3e
* **ap-southeast-1** : ami-00f7241a02b8211c2
* **ap-southeast-2** : ami-01cf7b6a9324fb47e
* **eu-central-1** : ami-039e11d2ad9ed891d
* **us-east-2** : ami-0d62add93512f6077
* **us-west-1** : ami-0a4cc1413a026ab07
* **us-west-2** : ami-004ebde619e4b57ee
* **us-east-1** : ami-081e8f3dc71dce7b4
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## Next Step
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* [Configuring ClearML for ClearML Server ](clearml_config_for_clearml_server.md ).