clearml-docs/docs/deploying_clearml/clearml_server_linux_mac.md

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Linux and macOS

Deploy the ClearML Server in Linux or macOS using the pre-built Docker image.

For ClearML docker images, including previous versions, see https://hub.docker.com/r/allegroai/clearml. However, pulling the ClearML Docker image directly is not required. We provide a docker-compose YAML file that does this. The docker-compose file is included in the instructions on this page.

For information about upgrading ClearML Server in Linux or macOS, see here

:::important If ClearML Server is being reinstalled, we recommend clearing browser cookies for ClearML Server. For example, for Firefox, go to Developer Tools > Storage > Cookies, and for Chrome, go to Developer Tools > Application > Cookies, and delete all cookies under the ClearML Server URL. :::

Prerequisites

For Linux users only:

• Linux distribution must support Docker. For more information, see this explanation in the Docker documentation.
• Be logged in as a user with sudo privileges.
• Use bash for all command-line instructions in this installation.
• The ports 8080, 8081, and 8008 must be available for the ClearML Server services.

Deploying

:::warning By default, ClearML Server launches with unrestricted access. To restrict ClearML Server access, follow the instructions in the Security page. :::

To launch ClearML Server on Linux or macOS:

1. Install Docker. The instructions depend upon the operating system:

   • Linux - see Docker for Ubuntu.
   • macOS - see Docker for OS X.

2. Verify the Docker CE installation. Execute the command:

    docker run hello-world
   

   The expected is output is:

    Hello from Docker!
    This message shows that your installation appears to be working correctly.
    To generate this message, Docker took the following steps:
   
    1. The Docker client contacted the Docker daemon.
    2. The Docker daemon pulled the "hello-world" image from the Docker Hub. (amd64)
    3. The Docker daemon created a new container from that image which runs the executable that produces the output you are currently reading.
    4. The Docker daemon streamed that output to the Docker client, which sent it to your terminal.
   

3. For macOS only, increase the memory allocation in Docker Desktop to 8GB.

   1. In the top status bar, click the Docker icon.
   2. Click Preferences > Resources > Advanced, and then set the memory to at least 8192.
   3. Click Apply.

4. For Linux only, install docker-compose. Execute the following commands (for more information, see Install Docker Compose in the Docker documentation):

    sudo curl -L "https://github.com/docker/compose/releases/download/1.24.1/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
    sudo chmod +x /usr/local/bin/docker-compose
   

5. Increase vm.max_map_count for Elasticsearch in Docker. Execute the following commands, depending upon the operating system:

   • Linux:

       echo "vm.max_map_count=262144" > /tmp/99-clearml.conf
       sudo mv /tmp/99-clearml.conf /etc/sysctl.d/99-clearml.conf
       sudo sysctl -w vm.max_map_count=262144
       sudo service docker restart
     

   • macOS:

       screen ~/Library/Containers/com.docker.docker/Data/vms/0/tty
       sysctl -w vm.max_map_count=262144
     

6. Remove any previous installation of ClearML Server.

   This clears all existing ClearML SDK databases.

    sudo rm -R /opt/clearml/
   

7. Create local directories for the databases and storage.

    sudo mkdir -p /opt/clearml/data/elastic_7
    sudo mkdir -p /opt/clearml/data/mongo_4/db
    sudo mkdir -p /opt/clearml/data/mongo_4/configdb
    sudo mkdir -p /opt/clearml/data/redis
    sudo mkdir -p /opt/clearml/logs
    sudo mkdir -p /opt/clearml/config
    sudo mkdir -p /opt/clearml/data/fileserver
   

8. For macOS only do the following:

   1. Open the Docker app.

   2. Select Preferences.

   3. On the File Sharing tab, add /opt/clearml.

9. Grant access to the Dockers, depending upon the operating system.

   • Linux:

       sudo chown -R 1000:1000 /opt/clearml
     

   • macOS:

       sudo chown -R $(whoami):staff /opt/clearml
     

10. Download the ClearML Server docker-compose YAML file.

     sudo curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
    

11. For Linux only, configure the ClearML Agent Services. If CLEARML_HOST_IP is not provided, then ClearML Agent Services uses the external public address of the ClearML Server. If CLEARML_AGENT_GIT_USER / CLEARML_AGENT_GIT_PASS are not provided, then ClearML Agent Services can't access any private repositories for running service tasks.

     export CLEARML_HOST_IP=server_host_ip_here
     export CLEARML_AGENT_GIT_USER=git_username_here
     export CLEARML_AGENT_GIT_PASS=git_password_here
    

12. Run docker-compose with the downloaded configuration file.

     docker-compose -f /opt/clearml/docker-compose.yml up -d
    

The server is now running on http://localhost:8080.

Port Mapping

After deploying ClearML Server, the services expose the following ports:

• Web server on port 8080
• API server on port 8008
• File server on port 8081

Restarting

To restart ClearML Server Docker deployment:

• Stop and then restart the Docker containers by executing the following commands:

    docker-compose -f /opt/clearml/docker-compose.yml down
    docker-compose -f /opt/clearml/docker-compose.yml up -d
  

Backing Up and Restoring Data and Configuration

The commands in this section are an example of how to back up and to restore data and configuration .

If the data and configuration folders are in /opt/clearml, then archive all data into ~/clearml_backup_data.tgz, and configuration into ~/clearml_backup_config.tgz:

sudo tar czvf ~/clearml_backup_data.tgz -C /opt/clearml/data .
sudo tar czvf ~/clearml_backup_config.tgz -C /opt/clearml/config .

If needed, restore data and configuration by doing the following:

1. Verify the existence of backup files.

2. Replace any existing data with the backup data:

    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 
   

3. Grant access to the data, depending upon the operating system:

   • Linux:

       sudo chown -R 1000:1000 /opt/clearml
     

   • macOS:

       sudo chown -R $(whoami):staff /opt/clearml
     

Next Step

• Configuring ClearML for ClearML Server.