Small edits

docs/deploying_clearml/clearml_server_linux_mac.md

@@ -5,8 +5,8 @@ title: 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](https://hub.docker.com/r/allegroai/clearml). 
-However, pulling the ClearML Docker image directly is not required. ClearML provides a docker-compose YAML file that does this. 
-The docker-compose file is included in the instructions on this page.
+However, pulling the ClearML Docker image directly is not required. ClearML provides 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](upgrade_server_linux_mac.md).
 
@@ -134,7 +134,7 @@ Deploying the server requires a minimum of 8 GB of memory, 16 GB is recommended.
        sudo chown -R $(whoami):staff /opt/clearml
        ```
 
-2. Download the ClearML Server docker-compose YAML file.
+2. Download the ClearML Server `docker-compose` YAML file.
       ```
       sudo curl https://raw.githubusercontent.com/clearml/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
       ```

docs/deploying_clearml/clearml_server_win.md

@@ -54,7 +54,7 @@ Deploying the server requires a minimum of 8 GB of memory, 16 GB is recommended.
    mkdir c:\opt\clearml\logs
    ```
 
-1. Save the ClearML Server docker-compose YAML file.
+1. Save the ClearML Server `docker-compose` YAML file.
  
    ```   
    curl https://raw.githubusercontent.com/clearml/clearml-server/master/docker/docker-compose-win10.yml -o c:\opt\clearml\docker-compose-win10.yml

docs/deploying_clearml/enterprise_deploy/app_install_ubuntu_on_prem.md

@@ -13,7 +13,7 @@ without any coding. Applications are installed on top of the ClearML Server.
 To run application you will need the following:
 * RAM: Make sure you have at least 400 MB of RAM per application instance.
 * Applications Service: Make sure that the applications agent service is up and running on your server:
-  * If you are using a docker-compose solution, make sure that the clearml-apps-agent service is running.
+  * If you are using a `docker-compose` solution, make sure that the clearml-apps-agent service is running.
   * If you are using a Kubernetes cluster, check for the clearml-clearml-enterprise-apps component.
 * Installation Files: Each application has its installation zip file. Make sure you have the relevant files for the 
 applications you wish to install.

docs/deploying_clearml/enterprise_deploy/import_projects.md

@@ -36,7 +36,7 @@ them before exporting.
 Execute the data tool within the `apiserver` container.
 
 Open a bash session inside the `apiserver` container of the server:  
-* In docker-compose:
+* In `docker-compose`:
   
   ```commandline
   sudo docker exec -it clearml-apiserver /bin/bash

docs/deploying_clearml/enterprise_deploy/on_prem_ubuntu.md

@@ -165,9 +165,12 @@ should be reviewed and modified prior to the server installation
    sudo docker login -u=$DOCKERHUB_USER -p=$DOCKERHUB_PASSWORD
    ```
    
-1. Start the `docker-compose`  by changing directories to the directory containing the docker-compose files and running the following command:
-sudo docker-compose --env-file constants.env up -d
-
+1. Start the `docker-compose`  by changing directories to the directory containing the `docker-compose` files and running the following command:
+   
+   ```
+   sudo docker-compose --env-file constants.env up -d
+   ```
+   
 1. Verify web access by browsing to your URL (IP address) and port 8080.
 
    ```

docs/deploying_clearml/enterprise_deploy/vpc_aws.md

@@ -8,7 +8,7 @@ It covers the following:
 * Set up security groups and IAM role
 * Create EC2 instance with required disks
 * Install dependencies and mount disks
-* Deploy ClearML version using docker-compose
+* Deploy ClearML version using `docker-compose`
 * Set up load balancer and DNS
 * Set up server backup