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RTL-SDR ADS-B Docker Stack using @mikenye's containers.

Prerequisites

  1. Docker Volumes and networks defined in compose have to exist before running docker-compose
  2. InfluxDB and Grafana have to be up and running. I have not tested this with InfluxDB 2 so with it, YMMV.
  3. Prereqs from Mikenye's containers are fulfilled (https://github.com/mikenye/docker-readsb-protobuf#prerequisites is the main one)

Brief explanation of each container and what I use it for:

Gather ADS-B data from the RTL-SDR V3 and publish it to the other apps as well as push it to InfluxDB (using it's in-built Telegraf). I also use a second container of this image as an MLAT hub:

https://github.com/mikenye/docker-readsb-protobuf

Tar1090 for mapping ADS-B Data:

https://github.com/mikenye/docker-tar1090

Feeders for various services:

https://github.com/mikenye/docker-adsbexchange

https://github.com/mikenye/docker-piaware

https://github.com/mikenye/docker-flightradar24

Grafana:

Again, modified the excellent dashboard by mikenye

https://grafana.com/grafana/dashboards/13168

I added an iFrame in Grafana to point to my tar1090 instance like so:

Using the Text visualization and this iFrame code:

<iframe src="https://TAR1090_URL/" title="Map" style="width:100%; height:100%; padding:0; margin:0; border:none;"></iframe>         

NOTE: On recent Grafana versions, this parameter needs to be set for Grafana to load an external iFrame:

- GF_PANELS_DISABLE_SANITIZE_HTML=true

.env file:

Fill your specific details for feeders etc. here. The beasthost/port etc. are the names of the containers that run that function.

Monitoring Raspberry Pi's Temperature with Telegraf and InfluxDB:

https://github.com/chvvkumar/Monitoring#raspberry-pi

Single Feeder:

image

Multi Feeder:

image

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