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README-grafana.md
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# Using Ultrafeeder with Grafana and Prometheus
- [Using Ultrafeeder with Grafana and Prometheus](#using-ultrafeeder-with-grafana-and-prometheus)
- [Introduction](#introduction)
- [Ultrafeeder Image Tag](#ultrafeeder-image-tag)
- [Hardware requirements](#hardware-requirements)
- [Steps to install Prometheus, Grafana, and the Grafana Dashboard](#steps-to-install-prometheus-grafana-and-the-grafana-dashboard)
- [Step 1: Make Prometheus data available for the Ultrafeeder](#step-1-make-prometheus-data-available-for-the-ultrafeeder)
- [Step 2: create a container stack for `prometheus` and `grafana`](#step-2-create-a-container-stack-for-prometheus-and-grafana)
- [Step 3: Configuring Prometheus](#step-3-configuring-prometheus)
- [Accessing Prometheus and Grafana via your browser](#accessing-prometheus-and-grafana-via-your-browser)
- [Configuring data source and dashboard in Grafana](#configuring-data-source-and-dashboard-in-grafana)
- [Making the feeder's heatmap and graphs pages available in Grafana](#making-the-feeders-heatmap-and-graphs-pages-available-in-grafana)
- [Advanced Configuration: support for dashboards for multiple ultrafeeder instances](#advanced-configuration-support-for-dashboards-for-multiple-ultrafeeder-instances)
- [Step 1: Edit your Prometheus config file so the `job_name`s look like this](#step-1-edit-your-prometheus-config-file-so-the-job_names-look-like-this)
- [Step 2: Change your initial Grafana dashboard to use the new job name](#step-2-change-your-initial-grafana-dashboard-to-use-the-new-job-name)
- [Step 3: Clone the dashboard and repoint it at your second `ultrafeeder` instance](#step-3-clone-the-dashboard-and-repoint-it-at-your-second-ultrafeeder-instance)
## Introduction
[`Grafana`](https://grafana.com/) is an analytics platform that can provide alternative graphs for `readsb`.
In this guide we will be using [`Prometheus`](https://prometheus.io/) as the data repository.
@ -202,13 +220,13 @@ If you don't have access to these URLs, it'd be safe to simply delete these pane
- Step f: Press `Save dashboard` at the top right of the screen, followed by `Save` on the next screen
- Step g: Press ESC to go back to your dashboard
### Advanced Configuration: support for dashboards for multiple ultrafeeder instances
## Advanced Configuration: support for dashboards for multiple ultrafeeder instances
If you have multiple feeder stations with multiple instances of `ultrafeeder`, you can configure a dashboard for each of them. Here's how. In our example, we have two `ultrafeeder` instance called `heerlen` and `trenton`. You can adjust these names in accordance with your needs.
First execute all steps above, and then continue here.
#### Step 1: Edit your Prometheus config file so the `job_name`s look like this
### Step 1: Edit your Prometheus config file so the `job_name`s look like this
```yaml
- job_name: 'heerlen'
@ -225,7 +243,7 @@ You can remove the `ultrafeeder` section as it will probably be a duplicate of w
Once you are done editing, restart Prometheus (`docker restart prometheus`).
#### Step 2: Change your initial Grafana dashboard to use the new job name
### Step 2: Change your initial Grafana dashboard to use the new job name
In the previous step, you replaced the `ultrafeeder` job name by two or more new names. Now, we need to create a copy of the dashboard for each of the job names and make sure they each use the data source from the correct `ultrafeeder` instance.
@ -239,7 +257,7 @@ In the previous step, you replaced the `ultrafeeder` job name by two or more new
Now your first Grafana dashboard gets its data from the your first `ultrafeeder` instance.
#### Step 3: Clone the dashboard and repoint it at your second `ultrafeeder` instance
### Step 3: Clone the dashboard and repoint it at your second `ultrafeeder` instance
If you followed the steps above, you should be at your updated (first) dashboard. We'll now clone and adapt it for your second `ultrafeeder` instance:

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README.md
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# sdr-enthusiasts/docker-adsb-ultrafeeder
- [sdr-enthusiasts/docker-adsb-ultrafeeder](#sdr-enthusiastsdocker-adsb-ultrafeeder)
- [Introduction](#introduction)
- [Up-and-Running Quickly with `docker-compose`](#up-and-running-quickly-with-docker-compose)
- [Ports](#ports)
- [Runtime Environment Variables](#runtime-environment-variables)
- [General Configuration](#general-configuration)
- [Basic Ultrafeeder Parameters](#basic-ultrafeeder-parameters)
- [Mandatory Parameters](#mandatory-parameters)
- [Optional Parameters](#optional-parameters)
- [Getting ADSB data to the Ultrafeeder](#getting-adsb-data-to-the-ultrafeeder)
- [Connecting to a SDR or other hardware device](#connecting-to-a-sdr-or-other-hardware-device)
- [Mandatory parameters](#mandatory-parameters-1)
- [Optional/Additional Parameters](#optionaladditional-parameters)
- [AutoGain for RTLSDR Devices](#autogain-for-rtlsdr-devices)
- [Connecting to external ADSB data sources](#connecting-to-external-adsb-data-sources)
- [All-in-One Configuration using `ULTRAFEEDER_CONFIG`](#all-in-one-configuration-using-ultrafeeder_config)
- [Networking parameters](#networking-parameters)
- [Alternate Configuration Method with `READSB_NET_CONNECTOR`](#alternate-configuration-method-with-readsb_net_connector)
- [Optional Networking Parameters](#optional-networking-parameters)
- [MLAT configuration](#mlat-configuration)
- [Web Gui (`tar1090`) Configuration](#web-gui-tar1090-configuration)
- [`tar1090` Core Configuration](#tar1090-core-configuration)
- [`tar1090` `config.js` Configuration - Title](#tar1090-configjs-configuration---title)
- [`tar1090` `config.js` Configuration - Output](#tar1090-configjs-configuration---output)
- [`tar1090` `config.js` Configuration - Map Settings](#tar1090-configjs-configuration---map-settings)
- [`tar1090` `config.js` Configuration - Range Rings](#tar1090-configjs-configuration---range-rings)
- [`tar1090` `config.js` Configuration - Route Display](#tar1090-configjs-configuration---route-display)
- [Configuring `graphs1090`](#configuring-graphs1090)
- [`graphs1090` Environment Parameters](#graphs1090-environment-parameters)
- [Enabling UAT data](#enabling-uat-data)
- [Enabling AirSpy graphs](#enabling-airspy-graphs)
- [Enabling Disk IO and IOPS data](#enabling-disk-io-and-iops-data)
- [Configuring the Core Temperature graphs](#configuring-the-core-temperature-graphs)
- [Reducing Disk IO for Graphs1090](#reducing-disk-io-for-graphs1090)
- [`timelapse1090` Configuration](#timelapse1090-configuration)
- [Web Pages](#web-pages)
- [Paths](#paths)
- [Configuring the built-in MLAT Hub](#configuring-the-built-in-mlat-hub)
- [Display of Metrix with Grafana and Prometheus/InfluxDB](#display-of-metrix-with-grafana-and-prometheusinfluxdb)
- [Configuring Grafana](#configuring-grafana)
- [Output from Ultrafeeder to Prometheus](#output-from-ultrafeeder-to-prometheus)
- [Output from Ultrafeeder to InfluxDBv2](#output-from-ultrafeeder-to-influxdbv2)
- [Message decoding introspection](#message-decoding-introspection)
- [Logging](#logging)
- [Getting help](#getting-help)
- [Acknowledgements](#acknowledgements)
## Introduction
`adsb-ultrafeeder` is a ADS-B data collector container that can be used to:
* retrieve ADS-B data from your SDR or other device
@ -183,7 +233,7 @@ If you want to connect your SDR to the container, here's how to do that:
| `READSB_GAIN` | Set gain (in dB). Use `autogain` to have the container determine an appropriate gain, more on this below. | `--gain=<db>` | Max gain |
| `READSB_RTLSDR_PPM` | Set oscillator frequency correction in PPM. See [Estimating PPM](https://github.com/sdr-enthusiasts/docker-readsb-protobuf/README.MD#estimating-ppm) | `--ppm=<correction>` | Unset |
###### AutoGain for RTLSDR Devices
##### AutoGain for RTLSDR Devices
If you have set `READSB_GAIN=autogain`, then the system will take signal strength measurements to determine the optimal gain. The AutoGain functionality is based on a (slightly) modified version of [Wiedehopf's AutoGain](https://github.com/wiedehopf/autogain). AutoGain will only work with `rtlsdr` style receivers.
@ -287,7 +337,7 @@ NOTE: If you have a UAT dongle and use `dump978` to decode this, you should use
...
```
##### Optional Networking Parameters
#### Optional Networking Parameters
There are many optional parameters relating to the ingestion of data and the general networking functioning of the `readsb` program that implements this functionality.
@ -318,7 +368,7 @@ There are many optional parameters relating to the ingestion of data and the gen
| `READSB_FORWARD_MLAT_SBS` | If set to anthing, it will include MLAT results in the SBS/BaseStation output. This may be desirable if you feed SBS data to applications like [VRS](https://github.com/sdr-enthusiasts/docker-virtualradarserver) or [PlaneFence](https://github.com/kx1t/docker-planefence) | Unset |
| `UUID` | Sets the UUID that is sent on the `beast_reduce_plus` port if no individual UUIDs have been defined with the `READSB_NET_CONNECTOR` parameter. Similarly, it's also used with `mlat-client` (see below) if no individual UUIDs have been set with the `MLAT_CONFIG` parameter. | | unset |
##### MLAT configuration
#### MLAT configuration
The Ultrafeeder contains a capability to send MLAT data to MLAT servers to be processed, and to receive the MLAT results and integrate those with an MLAT Hub and the `tar1090` map.
It will create a separate instance of `mlat-client` for each defined MLAT server. The parameters for these `mlat-client` instances is as follows:
@ -619,7 +669,7 @@ Generally, there is little to configure, but there are a few parameters that you
| `MLATHUB_BEAST_REDUCE_OUT_PORT` | TCP port where consolidated MLAT results will be available in Beast format with reduced data rates | `31006` |
| `MLATHUB_NET_CONNECTOR` | List of semi-colon (`;`) separated IP or host, port, and protocols where MLATHUB will connect to ingest or send MLAT data. It follows the same syntax as described in the [`READSB_NET_CONNECTOR` syntax section](#alternate-configuration-method-with-readsb_net_connector) above. | Unset |
## Metrics
## Display of Metrix with Grafana and Prometheus/InfluxDB
When using the `:telegraf` tag, the image contains [Telegraf](https://docs.influxdata.com/telegraf/), which can be used to capture metrics from `ultrafeeder` if an output is enabled.
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...
```
### Output to InfluxDBv2
### Configuring Grafana
Please see the [separate instruction document](README-grafana.md) for step by step instructions on how to set up and configure a Grafana Dashboard with Prometheus. The sections below are provided as a reference.
### Output from Ultrafeeder to Prometheus
In order for Telegraf to serve a [Prometheus](https://prometheus.io) endpoint, the following environment variables can be used:
| Variable | Description |
| ---- | ---- |
| `PROMETHEUS_ENABLE` | Set to `true` for a Prometheus endpoint on `http://0.0.0.0:9273/metrics` |
### Output from Ultrafeeder to InfluxDBv2
In order for Telegraf to output metrics to an [InfluxDBv2](https://docs.influxdata.com/influxdb/) time-series database, the following environment variables can be used:
@ -645,16 +707,6 @@ In order for Telegraf to output metrics to an [InfluxDBv2](https://docs.influxda
| `INFLUXDBV2_BUCKET` | Destination bucket to write into |
| `INFLUXDBV2_ORG` | InfluxDB Organization to write into |
### Output to Prometheus and configuring Grafana
In order for Telegraf to serve a [Prometheus](https://prometheus.io) endpoint, the following environment variables can be used:
| Variable | Description |
| ---- | ---- |
| `PROMETHEUS_ENABLE` | Set to `true` for a Prometheus endpoint on `http://0.0.0.0:9273/metrics` |
Please see the [separate instruction document](README-grafana.md) for step by step instructions on how to set up and configure a Grafana Dashboard.
## Message decoding introspection
You can look at individual messages and what information they contain, either for all or for an individual aircraft by hex: