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This article will explain in detail how to install the performance monitoring tool pyDash for Linux. The editor thinks it is very practical, so I share it for you as a reference. I hope you can get something after reading this article.

PyDash is a lightweight Linux monitoring tool based on Web, written in Python, Django and Chart.js. It runs on the following major Linux distributions: CentOS,Fedora,Ubuntu,Debian,Arch Linux,Raspbian and Pidora.

It can monitor your server's resources, such as CPU,RAM, network statistics, processes including online users, etc. Developed entirely using the Python library provided in the Python distribution, it has some dependencies; you don't need to install many packages or libraries to run it.

How to install pyDash under Linux system

1. First, install the required packages git and Python pip as follows:

-on Debian/Ubuntu-$sudo apt-get install git python-pip- on CentOS/RHEL-# yum install epel-release# yum install git python-pip- on Fedora 22 +- -# dnf install git python-pip

2. If git and Python pip are installed, then install virtualenv as follows, which helps to handle dependencies for Python projects:

# pip install virtualenv or $sudo pip install virtualenv

3. Now, use the git command as follows to clone the pyDash repository to the home directory:

# git clone https://github.com/k3oni/pydash.git# cd pydash

4. Next, create a virtual environment called pydashtest for the project using the following virtualenv command:

$virtualenv pydashtest # give a name for your virtual environment like pydashtest

Create a virtual environment

Important: please note that in the screenshot above, the bin directory of the virtual environment is highlighted, and yours may be different, depending on where you clone the pyDash directory.

5. After you have created a virtual environment (pydashtest), you need to activate it as follows before using it:

$source / home/aaronkilik/pydash/pydashtest/bin/activate

Activate the virtual environment

From the screenshot above, you can notice that the prompt string 1 (PS1) has changed, indicating that the virtual environment has been activated and can be used.

6. Now, if you are curious about how to install the pydash project requirements;, you can use the cat command to view the contents of requirements.txt, and then install as shown below:

$cat requirements.txt$ pip install-r requirements.txt

7. Now, go to the pydash directory, which contains a file named settings.py, or you can directly run the following command to open the file, and then change SECRET_KEY to a specific value:

$vi pydash/settings.py

Set the key

Save the file and exit.

After that, run the following command to create a project database and an authentication system that installs Django, and create a project superuser:

$python manage.py syncdb

Answer the following questions according to your situation:

Would you like to create one now? (yes/no): yesUsername (leave blank to use 'root'): adminEmail address: aaronkilik@gmail.comPassword: # Password (again):

Create a project database

9. At this point, everything is set up, and then run the following command to enable the Django development server:

$python manage.py runserver

10. Next, open your web browser, enter the URL: http://127.0.0.1:8000/ to enter the web console login interface, enter the super username and password you created when you created the database and installed the Django authentication system in step 8, and then click Log in.

PyDash login interface

11. After logging in to the pydash main page, you will be able to see basic information about the monitoring system, including CPU, memory and hard disk usage, as well as the average system load.

Scroll down to see more parts of the information.

Overview of pydash server performance

12. The next screenshot shows a pydash tracking interface, including IP addresses, Internet traffic, hard disk read / write, online users, and netstats.

Overview of pyDash Network

13. A screenshot of the next pydash main page shows some of the active processes being monitored in the system.

PyDash monitors active Linux processes

This is the end of this article on "how to install the performance monitoring tool pyDash for Linux". I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, please share it out for more people to see.

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