Updated deployment guide

docs/deploymentGuide.md

@@ -11,50 +11,34 @@ In our case we are going to use Azure as our cloud provider. The following steps
    - Check the public IP of the virtual machine at Azure and save it in `DEPLOY_HOST`.
 6. Once the virtual machine is created and the repository is configured, we have to create some rules for the virtual machine:
    - Open port 8000 for the gateway.
-   - Open port 80 for the webapp.
+   - Open port 443 for the webapp.
+   - Open port 9091 if you want to be able to access monitoring information.
 7. Configure the virtual machine by connecting through SSH:
-   - Use a tool for connecting to the server using SSH (example... PuTTY, MobaXterm…​).
+   - Use a tool for connecting to the server using SSH (PuTTY, MobaXterm, Bitvise,...​).
    - Use the public IP address and the file .pem for making the connection.
    - Execute the following commands for preparing the virtual machine:
 
-    ``
+    ```
     sudo apt update
-   ``
    
-   ``
     sudo apt install apt-transport-https ca-certificates curl software-properties-common
-   ``
 
-   ``
     curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
-   ``
 
-   ``
     sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu focal stable"
-   ``
 
-   ``
     sudo apt update
-   ``
 
-   ``
     sudo apt install docker-ce
-   ``
 
-   ``
     sudo usermod -aG docker ${USER}
-   ``
 
-   ``
     sudo curl -L "https://github.com/docker/compose/releases/download/1.28.5/docker-compose-$(uname -s)-$(uname -m)"
    -o /usr/local/bin/docker-compose
-   ``
-
-   ``
     sudo chmod +x /usr/local/bin/docker-compose
-    ``
+    ```
 
-9. Make a release in GitHub:
+8. Make a release in GitHub:
    - On the right-hand side of the main Code section of our repository, there is a section called Releases. It will be needed to add a new version following the version naming convention.
    - Once the release is made, some GitHub actions will be triggered, and the containers will be tested and running once everything finishes.
    - If some test fails during the process, deployment will be automatically aborted.