Deployment and Maintenance / Raspberry Pi Ubuntu Deployment

This Guide mainly introduces how to run this system on a Raspberry Pi with Ubuntu Server (64bit) installed.

Always use the latest version of DataFlux Func for operations

It is recommended to use a wired network connection to the Raspberry Pi during the operation

This Guide is based on the Raspberry Pi 4B 8GB version. The Raspberry Pi 3B is too weak to run

Must use a 64-bit Ubuntu Server image for Raspberry Pi

1. Preparations

Some preparations are needed before installing DataFlux Func on the Raspberry Pi.

1.1 Burning the Raspberry Pi SD Card

It is recommended to use a pure official image to burn the SD card and then install DataFlux Func.

When burning the SD card, you can choose:

1. Use the official Raspberry Pi Imager tool for burning

   • Official tool download page

2. Directly download the official Ubuntu Server 64-bit image and use a third-party tool for burning

   • Official image download page
   • Etcher burning tool

After burning, you can insert the SD card into the Raspberry Pi and power it on.

1.2 Initializing the System

After the first boot of Ubuntu for Raspberry Pi, you need to log in with the default username and password:

Username	Password
ubuntu	ubuntu

You will be prompted to change the password after successful login

1.3 Configuring Wi-Fi Connection (Optional)

If you want to connect to the network via Wi-Fi, please follow these steps:

Open the configuration file

sudo vim /etc/netplan/50-cloud-init.yaml

Assuming your Wi-Fi SSID is my-wifi and the password is my-wifi-password. Then, the configuration should be modified as follows:

network:
    ethernets:
        eth0:
            dhcp4: true
            optional: true
    # Add Wi-Fi configuration here
    wifis:
        wlan0:
            dhcp4: true
            access-points:
                my-wifi:
                    password: my-wifi-password
    version: 2

Apply the new configuration

sudo netplan apply

Reboot the Raspberry Pi

sudo reboot

Use cURL to verify if the network connection is successful

curl -L bing.com

2. Installing DataFlux Func

The process of installing DataFlux Func on the Raspberry Pi is basically the same as installing it on a regular server.

2.1 Downloading

The download operation is the same as on other platforms. Use the following command, and the script will detect the current environment architecture and download the ARM version resources

/bin/bash -c "$(curl -fsSL docs.dataflux-func.com/download)"

If you need to download the DataFlux Func installation package for Raspberry Pi on a PC, you need to specify --aarch64 in the download command

/bin/bash -c "$(curl -fsSL docs.dataflux-func.com/download)" -- --arch=aarch64

2.2 Installation

After the download is complete, enter the downloaded directory and execute the following command to install:

sudo /bin/bash run-portable.sh

2.3 Initializing the System

After the installation is complete, use a browser to open the DataFlux Func initialization page for operations.

• Visit http://{Raspberry Pi IP}:8088

2.4 Confirming the Installation

After the installation is complete, log in to the system and go to 'Management / About' , where you can see that the 'Architecture' is aarch64:

Subsequent operations are no different from DataFlux Func installed on a regular server

X. Appendix

Here are some Raspberry Pi-related contents for reference.

X.1 Maximizing Raspberry Pi Performance

Open the /boot/firmware/usercfg.txt file

sudo vim /boot/firmware/usercfg.txt

Add the following content as needed:

force_turbo=0  # Prevent the CPU from running at maximum frequency
arm_freq=2100  # Overclock the CPU to 2.1Ghz (default is 1.5Ghz)
over_voltage=6 # Increase the voltage to level 6

You can use it normally without the above settings, and a metal case alone can achieve passive heat dissipation

This setting involves overclocking, and passive heat dissipation with just a metal case is not enough during full load operation. At least a fan is required

More aggressive configurations can further enhance the performance of the Raspberry Pi, but it will void the warranty

If your Raspberry Pi is damaged due to overclocking, the author of this Guide is not responsible. Please think twice before proceeding

X.2 Raspberry Pi Stress Test Program

You can use the Raspberry Pi stress test tool to test the stability of the Raspberry Pi (especially after overclocking)

Clone the project repository

git clone https://gitee.com/sujivin/rpi-cpu-stress.git

The original author's Github repository address is: github.com/xukejing/rpi-cpu-stress

Add executable permissions

cd rpi-cpu-stress
chmod +x stress.sh

Start the stress test

sudo ./stress.sh

Then, you can see the following output in the terminal:

a72 freq: 2100000
temp: 50634

a72 freq: 2100000
temp: 54530

a72 freq: 2100000
temp: 55991

a72 freq: 2100000
temp: 56478

• a72 freq: 2100000: Indicates the current CPU frequency is 2.1Ghz
• temp: 50634: Indicates the temperature is 50.634 degrees Celsius

Do not let the Raspberry Pi stay at high temperatures (above 80 degrees Celsius) for a long time