Turn your Raspberry Pi homelab into a network filesystem

A shared filesystem is a great way to add versatility and functionality to a homelab. Having a centralized filesystem shared to the clients in the lab makes organizing data, doing backups, and sharing data considerably easier. This is especially useful for web applications load-balanced across multiple servers and for persistent volumes used by Kubernetes, as it allows pods to be spun up with persistent data on any number of nodes.

Whether your homelab is made up of ordinary computers, surplus enterprise servers, or Raspberry Pis or other single-board computers (SBCs), a shared filesystem is a useful asset, and a network filesystem (NFS) server is a great way to create one.

I have written before about setting up a "private cloud at home," a homelab made up of Raspberry Pis or other SBCs and maybe some other consumer hardware or a desktop PC. An NFS server is an ideal way of sharing data between these components. Since most SBCs’ operating systems (OSes) run off an SD card, there are some challenges. SD cards suffer from increased failures, especially when used as the OS disk for a computer, and they are not made to be constantly read from and written to. What you really need is a real hard drive: they are generally cheaper per gigabyte than SD cards, especially for larger disks, and they are less likely to sustain failures. Raspberry Pi 4’s now come with USB 3.0 ports, and USB 3.0 hard drives are ubiquitous and affordable. It’s a perfect match. For this project, I will use a 2TB USB 3.0 external hard drive plugged into a Raspberry Pi 4 running an NFS server.

Install the NFS server software

I am running Fedora Server on a Raspberry Pi, but this project can be done with other distributions as well. To run an NFS server on Fedora, you need the nfs-utils package, and luckily it is already installed (at least in Fedora 31). You also need the rpcbind package if you are planning to run NFSv3 services, but it is not strictly required for NFSv4.

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Turn your Raspberry Pi homelab into a network filesystem

Tools and Images to Build a Raspberry Pi n8n server


Tools and Images to Build a Raspberry Pi n8n server


The purpose of this project is to create a Raspberry Pi image preconfigured with n8n so that it runs out of the box.

What is n8n?

n8n is a no-code/low code environment used to connect and automate different systems and services. It is programmed using a series of connected nodes that receive, transform, and then transmit date from and to other nodes. Each node represents a service or system allowing these different entities to interact. All of this is done using a WebUI.

Why n8n-pi?

Whevever a new technology is released, two common barriers often prevent potential users from trying out the technology:

  1. System costs
  2. Installation & configuration challenges

The n8n-pi project eliminates these two roadblocks by preconfiguring a working system that runs on easily available, low cost hardware. For as little as $40 and a few minutes, they can have a full n8n system up and running.


This project would not be possible if it was not for the help of the following:


All documentation for this project can be found at http://n8n-pi.tephlon.xyz.

Download Details:

Author: TephlonDude

GitHub: https://github.com/TephlonDude/n8n-pi

#pi #raspberry pi #raspberry #raspberry-pi

TensorFlow Lite Object Detection using Raspberry Pi and Pi Camera

I have not created the Object Detection model, I have just merely cloned Google’s Tensor Flow Lite model and followed their Raspberry Pi Tutorial which they talked about in the Readme! You don’t need to use this article if you understand everything from the Readme. I merely talk about what I did!


  • I have used a Raspberry Pi 3 Model B and PI Camera Board (3D printed a case for camera board). **I had this connected before starting and did not include this in the 90 minutes **(plenty of YouTube videos showing how to do this depending on what Pi model you have. I used a video like this a while ago!)

  • I have used my Apple Macbook which is Linux at heart and so is the Raspberry Pi. By using Apple you don’t need to install any applications to interact with the Raspberry Pi, but on Windows you do (I will explain where to go in the article if you use windows)

#raspberry-pi #object-detection #raspberry-pi-camera #tensorflow-lite #tensorflow #tensorflow lite object detection using raspberry pi and pi camera

The Raspberry Pi 400 - A full computer in a keyboard!

The Raspberry Pi 400 has arrived in the studio, and in this video I’ll give it a review. I’ll show an unboxing of the Personal Computer Kit from Canakit, which is a great way to get started on the Pi 400. Then I’ll show off the hardware, as well as the out-of-box experience.

#raspberry pi #pi #raspberry-pi

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Lisa joly


PI Network December Update 2020 | 10Million Users | Mining Rewards Halved | Pi Token

In this video I will discuss the latest updates from Pi Network. They just reached 10 Million users which is amazing. The network is growing fast however they did make a controversial decision which will piss many members off. They also talk about the future mainnet launch and they’re vision where they see the project in the future. Hope you enjoy the video.

📺 The video in this post was made by Crypto expat
The origin of the article: https://www.youtube.com/watch?v=mD99Sc5BtdA
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
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Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#bitcoin #blockchain #pi network #pi token #mining #pi network december update 2020 | 10million users | mining rewards halved | pi token

How to run Joystick with Raspberry Pi | Raspberry Pi Ultimate Robot

In this video we are going to learn how to install and run the Ps4 joystick in raspberry pi. We will also created a module out of this so that we can run it with the motor module that we created in the previous video.

Part 1: Hardware Build: https://youtu.be/Zdv4cOmOmb8
Part 2: Motor Module: https://youtu.be/0lXY87NwVIc
Part 3: Keyboard Module: https://youtu.be/YEYBbFdus-Q

#raspberry-pi #pi #programming