https://github.com/balena-io-experimental/multicontainer-demo-rpi3
A demo of balena multicontainer on Raspberry Pi3 with PiTFT LCDs
https://github.com/balena-io-experimental/multicontainer-demo-rpi3
adafruit balena digital-signage docker multi-container pitft
Last synced: about 2 months ago
JSON representation
A demo of balena multicontainer on Raspberry Pi3 with PiTFT LCDs
- Host: GitHub
- URL: https://github.com/balena-io-experimental/multicontainer-demo-rpi3
- Owner: balena-io-experimental
- License: apache-2.0
- Created: 2018-03-14T16:14:25.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2023-04-23T19:09:36.000Z (about 2 years ago)
- Last Synced: 2025-03-30T19:13:05.110Z (3 months ago)
- Topics: adafruit, balena, digital-signage, docker, multi-container, pitft
- Language: JavaScript
- Homepage:
- Size: 119 KB
- Stars: 18
- Watchers: 2
- Forks: 8
- Open Issues: 12
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
Awesome Lists containing this project
README
# Getting Started with Multicontainer on balenaCloud
This example will get you up and running quickly with a multicontainer setup on balenaCloud. The application plots our devices' CPU temperature on the device URL and LCD screen which is piped over using websockets. The system is composed of a simple static site server, a websocket server and a proxy and GUI service. These 4 components are defined in our [docker-compose.yml](docker-compose.yml) as services and are only given as much privilege as is needed.
To get this project up and running, you will first need to signup for a balenaCloud account [here](https://dashboard.balena-cloud.com/signup), create an application, and add a device. Have a look at our [Getting Started guide](https://www.balena.io/docs/learn/getting-started) if you need help.
Once you are set up with an account, you will need to clone this repo locally:
```
$ git clone https://github.com/balena-io-projects/multicontainer-demo-rpi3
```
Then add your application's remote repository to your local repository:
```
$ git remote add balena [email protected]:username/myapp.git
```
and push the code to the newly added remote:
```
$ git push balena master
```
It should take a few minutes for the code to push. While you wait, let's [enable device URLs](https://www.balena.io/docs/learn/manage/actions/#enable-public-device-url) so we can see the server outside of our local network. This option can be found in the Actions drop down in your device dashboard.
### Setup:
Give the GPU some more memory to run the GUI.
```
BALENA_HOST_CONFIG_gpu_mem=192
```
Device Configuration for PiTFT screens:
If you are using one of the piTFT screens, you will need to apply the following config.
```
BALENA_HOST_CONFIG_dtoverlay=pitft28-resistive,rotate=90,speed=62000000,fps=60
BALENA_HOST_CONFIG_hdmi_force_hotplug 1
BALENA_HOST_CONFIG_hdmi_group 2
BALENA_HOST_CONFIG_hdmi_mode 87
BALENA_HOST_CONFIG_hdmi_cvt 320 240 60 1 0 0 0
```
### Demo:
In order to demonstrate some visible changes after an update, you can follow these steps:
- In https://github.com/balena-io-projects/multicontainer-demo-rpi3/blob/master/data/index.js
- Uncomment `// data.color = '#FF0000'` . This will change the graph from the default blue to a more visible red color.
- Comment out `getRandomTemp(socket);` and uncomment `// getCpuTemp(socket);`. After pushing this change, the graph should be less random, with values around the current CPU temperature. If you provision a local device, you can show off a cool effect by touching the CPU with your finger; the temperature will instantly drop and that will be visible in the graph.