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This article mainly introduces "how to use Linux pyDash". In daily operation, I believe many people have doubts about how to use Linux pyDash. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the doubts about "how to use Linux pyDash". Next, please follow the editor to study!

PyDash is a lightweight Linux performance monitoring tool based on web visual interface implemented through Python and Django. You can use pyDash to monitor your Linux PC / server resources, such as CPU, memory, and network statistics.

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-pip2, If git and Python pip are installed So next, install virtualenv as follows, which helps deal with dependencies for Python projects:

# pip install virtualenv or $sudo pip install virtualenv3, 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 pydash4, 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.txt7, now go to the pydash directory, which contains a file named settings.py, or you can directly run the following command to open this 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 answers the following questions according to your situation:

Would you like to create one now? (yes/no): yes Username (leave blank to use 'root'): admin Email address: aaronkilik@gmail.com Password: # 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 runserver10, 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

At this point, the study on "how to use Linux pyDash" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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