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ARM and embedded Devices

Docker image that runs the Bitgesell node on any ARM-based devices (such as RaspberryPI) without having to compile Bitgesell Core from the source for target ARM architecture.

Requirements​

  • Single board Computer like Raspberry PI or (Single board computer built with ARM architecture)

  • At least 10 GB to store the block chain files (and always growing!)

  • At least 500 MB RAM + 1 GB swap file

  • A stable internet connection to sync blocks and talk to other nodes

Setting Up Raspberry PI​

  • To set up your Raspberry PI 4 follow this guide

Setup Docker on Raspberry PI 4​

  • To setup Docker on your Raspberry PI follow this quick guide

Really Fast Quick Start (Requires QEMU/KVM to build on non-ARM CPUs)​

To get started off quickly,from your Raspberry PI 4, pull the image from DockerHub:

docker pull naftalimurgor/bgld-arm

Run bgld-arm instance on your Raspberry PI

 docker run -dp 8454:8454 naftalimurgor/bgld-arm

One liner on Raspberry PI 4 running Ubuntu 20.04 LTS, with JSON-RPC enabled on localhost and adds upstart init script:

curl https://raw.githubusercontent.com/naftalimurgor/bgld-arm-docker/master/bootstrap-host.sh | sh

Quick Start​

Note to build this Image(and run it of course) you will need to setup Virtual Box or VMWare player:

  • Setting up Virtual Box/VMWare on Linux, follow this quick guide

  1. Run an instance of Bitegesell node as follows:

    docker run -dp 8454:8454 naftalimurgor/bgld-arm

  2. Verify that the container is running and bgld-arm node is downloading the blockchain

    $ docker ps
    CONTAINER ID   IMAGE                COMMAND   CREATED         STATUS         PORTS                                                 NAMES
    304e5a74a539   naftalimurgor/bgld-arm   "bgld-arm"    5 seconds ago   Up 3 seconds   0.0.0.0:8454->8454/tcp, :::8454->8454/tcp, 8455/tcp   naughty_greider

  3. You can then access the daemon's output thanks to the docker logs command

    docker logs -f bgld-arm

  4. Install optional init scripts for upstart and systemd are in the init directory.