How to Install pyDash on Fedora CoreOS Latest

pyDash is an open-source web-based dashboard for monitoring and managing Python applications. In this tutorial, we will guide you through the process of installing pyDash on Fedora CoreOS (FCOS) Latest.

Prerequisites

Before you start, make sure that you have:

Step 1: Install Python and Pip

First, we need to install Python and Pip packages to install and run pyDash. Run the following command to install them:

sudo dnf install python3 python3-pip -y

Wait for the installation process to complete.

Step 2: Install pyDash

Now, we are ready to install pyDash. Use the following command to install pyDash from PyPI:

sudo pip3 install pydash

Wait for the installation process to complete.

Step 3: Configure pyDash

Once pyDash is installed, we need to configure it to work with our Python applications. Create a new configuration file using the following command:

sudo nano /etc/pydash.cfg

Add the following configuration settings to the file:

[main]
title = My Server Dashboard
poll_seconds = 3
host = 0.0.0.0
port = 8080
executors = cpu, memory, diskio, network, process

Save and close the file.

Step 4: Run pyDash

Now that pyDash is configured, it's time to start the dashboard. Run the following command:

sudo pydash -c /etc/pydash.cfg

This will start the pyDash server with the specified configuration file. You should see output similar to the following:

 * Running on http://0.0.0.0:8080/ (Press CTRL+C to quit)

Step 5: Access pyDash

Finally, you can access pyDash by opening a web browser and navigating to:

http://FEDORA_COREOS_IP_ADDRESS:8080/

Replace the FEDORA_COREOS_IP_ADDRESS with the IP address of your Fedora CoreOS instance.

You should now see the pyDash login page. Use the default username (admin) and password (admin) to log in to the dashboard.

Congratulations! You have successfully installed pyDash on Fedora CoreOS Latest.

Conclusion

In this tutorial, we have shown you how to install and configure pyDash on Fedora CoreOS Latest so that you can monitor and manage your Python applications more easily. If you have any questions or feedback, feel free to leave a comment below.

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