Installation of Linux Dash on Void Linux
Introduction
Linux Dash is a versatile monitoring dashboard for Linux operating systems. It provides a web-based dashboard that displays the performance of various aspects of the system, such as CPU usage, memory usage, disk space, network activity, and more. In this tutorial, we will walk through the steps of installing the Linux Dash monitoring dashboard on a Void Linux system.
Prerequisites
- A Void Linux system
- An active internet connection
Step 1: Install required dependencies
The first step in the installation of Linux Dash is to install the required dependencies. Open the terminal application and run the following command as the root user to install the dependencies:
xbps-install apache php php-json php-pdo php-pdo_sqlite
Step 2: Download Linux Dash
Next, we will download the Linux Dash package from the official GitHub repository. Run the following command to clone the repository to the local system:
git clone https://github.com/afaqurk/linux-dash.git
Step 3: Configure Apache
Now, we will configure Apache to serve the Linux Dash application. Open the Apache configuration file using the following command:
nano /etc/httpd/conf/httpd.conf
Add the following lines at the end of the file:
Alias /linux-dash /path/to/linux-dash
<Directory /path/to/linux-dash>
Options Indexes FollowSymLinks
AllowOverride All
Require all granted
</Directory>
Make sure to replace '/path/to/linux-dash' with the actual path to the downloaded Linux Dash package. Save and exit the file.
Step 4: Start Apache
Start the Apache web server using the following command:
sv start httpd
Step 5: Access Linux Dash
Open a web browser and navigate to "http://localhost/linux-dash" to access the Linux Dash application. You should see the dashboard displaying various performance metrics of the system.
Conclusion
In this tutorial, we have successfully installed the Linux Dash monitoring dashboard on a Void Linux system. You can now use the dashboard to monitor your system's performance and keep track of important metrics.