Once you have [installed Docker](https://github.com/sdr-enthusiasts/docker-install), you can follow these lines of code to get up and running in very little time:
Some common ports are as follows (which may or may not be in use depending on your configuration). You can override the port mappings with the parameters shown in the [Optional Networking Parameters section](#optional-networking-parameters).
The general principle behind the port numbering, is:
Any of these ports can be made available to the host system by using the `ports:` directive in your `docker-compose.yml`. The container's web interface is rendered to port `80` in the container. This can me mapped to a port on the host using the docker-compose `ports` directive. In the example [`docker-compose.yml`](docker-compose.yml) file, the container's Tar1090 interface is mapped to `8080` on the host system, and ports `9273-9274` are exposed as-is:
```yaml
ports:
- 8080:80 # to expose the web interface
- 9273-9274:9273-9274 # to expose the statistics interface to Prometheus
The sections below describe how to configure each part of the container functionality. Each section describes what's needed to come up with a minimally viable configuration, followed by additional / optional parameters that can also be set.
- to enable a parameter, you can set it to any of `1`, `true`, `on`, `enabled`, `enable`, `yes`, or `y`. In the table below, we'll simply use `true` for convenience.
- to disable a parameter, you can set it to anything else or simply leave it undefined.
You need to make sure that the USB device can be accessed by the container. The best way to do so, is by adding the following to your `docker-compose.yml` file:
The advantage of doing this (over simply adding a `device:` directive pointing at the USB port) is that the construction above will automatically recover if you "hot plug" your dongle. ⚠️This feature requires a recent version of docker-compose (version >=2.3). Make sure your system is up to date if dongles are not found. ⚠️
| `ENABLE_TIMELAPSE1090` | Optional / Legacy. Set to `true` to enable timelapse1090. Once enabled, can be accessed via <http://dockerhost:port/timelapse/>. | Unset |
| `READSB_RX_LOCATION_ACCURACY` | Accuracy of receiver location in metadata: 0=no location, 1=approximate, 2=exact | `--rx-location-accuracy=<n>` | `2` |
| `READSB_HEATMAP_INTERVAL` | Per plane interval for heatmap and replay (if you want to lower this, also lower json-trace-interval to this or a lower value) | `--heatmap=<sec>` | `15` |
| `READSB_MAX_RANGE` | Absolute maximum range for position decoding (in nm) | `--max-range=<dist>` | `300` |
| `READSB_STATS_EVERY` | Number of seconds between showing and resetting stats. | `--stats-every=<sec>` | Unset |
`READSB_EXTRA_ARGS` just passes arguments to the commandline, you can check this file for more options for wiedehopf's readsb fork: <https://github.com/wiedehopf/readsb/blob/dev/help.h>
| `READSB_DEVICE_TYPE` | If using an SDR, set this to `rtlsdr`, `modesbeast`, `gnshulc` depending on the model of your SDR. If not using an SDR, leave un-set. | `--device-type=<type>` | Unset |
| `READSB_RTLSDR_DEVICE` | Select device by serial number. | `--device=<serial>` | Unset |
| `READSB_BEAST_SERIAL` | only when type `modesbeast` or `gnshulc` is used: Path to Beast serial device. | `--beast-serial=<path>` | `/dev/ttyUSB0` |
| `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 |
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.
There are 2 distinct periods in which the container will attempt to figure out the gain:
When taking measurements, if the percentage of "strong signals" (i.e., ADSB messages with RSSI > 3 dB) is larger than 6%, AutoGain will reduce the receiver's gain by 1 setting. Similarly, if the percentage of strong signals is smaller than 2.5%, AutoGain will increment the receiver's gain by 1 setting. When AutoGain changes the gain value, the `readsb` component of the container will restart. This may show as a disconnect / reconnected in container logs.
We recommend running the initial period during times when there are a lot of planes overhead, so the system will get a good initial view of what signals look like when traffic is at its peak for your location. If you forgot to do this for any reason, feel free to give the AutoGain reset command (see below) during flights busy hour.
In addition to (or instead of) connecting to a SDR or hardware device to get ADSB data, the container also supports ingesting data from a TCP port. Here are some parameters that you need to configure if you want to make this happen:
##### All-in-One Configuration using `ULTRAFEEDER_CONFIG`
`ULTRAFEEDER_CONFIG` is a new parameter that can be used instead of separately defining `READSB_NET_CONNECTOR`, `MLAT_NET_CONNECTOR`, `MLATHUB_NET_CONNECTOR`/`MLATHUB_CONFIG`. These legacy parameters will still work; however, we wanted to provide a single parameter that enables configuration of incoming and outgoing ADSB data, MLAT-client data, and MLATHUB data.
Note that `ULTRAFEEDER_CONFIG` and `ULTRAFEEDER_NET_CONNECTOR` can be used interchangeably; in this documentation, we'll use `ULTRAFEEDER_CONFIG` as an example.
The ULTRAFEEDER_CONFIG parameter can have multiple config strings, separated by a `;`. Please note that the config strings cannot contain `;` or `,` -- undefined things may happen if these characters are present.
-`host` is an IP address. Specify an IP/hostname/containername for incoming or outgoing connections.
-`port` and `return_port` are TCP port numbers
-`protocol` can be one of the following:
-`beast_reduce_out`: Beast-format output with lower data throughput (saves bandwidth and CPU)
-`beast_reduce_plus_out`: Beast-format output with extra data (UUID). This is the preferred format when feeding the "new" aggregator services
-`beast_out`: Beast-format output
-`beast_in`: Beast-format input
-`raw_out`: Raw output
-`raw_in`: Raw input
-`sbs_out`: SBS-format output
-`vrs_out`: SBS-format output
-`uuid=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX` is an optional parameter that sets the UUID for this specific instance. It will override the global `UUID` parameter. This is only needed when you want to send different UUIDs to different aggregators.
-`extra-arguments` can be any additional command line argument you want to pass to readsb, mlathub, or mlat-client. Example: `--net-only`. Please make sure to only once pass in an extra argument for each of the adsb|mlat|mlathub service.
- To connect to a remote receiver and send MLAT data to a MLAT Server, create a `mlat` instance with these additional parameters - `input_connect=remote-host:port,lat=xx.xxxx,lon=yy.yyyy,alt=zzz`, where:
-`input_connect=remote-host:port` defines the remote receiver's hostname or IP address and the port number where BEAST output data is available
-`lat=xx.xxxx` defines the remote receiver's latitude
-`lon=yy.yyyy` defines the remote receiver's longitude
-`alt=zzz` defines the remote receiver's altitude in meters above the eliptoid (~above sea level)
| `BEASTHOST` | IP/Hostname of a Mode-S/Beast provider (`dump1090`/`readsb`) | |
| `BEASTPORT` | TCP port number of Mode-S/Beast provider (`dump1090`/`readsb`) | `30005` |
| `MLATHOST` | Legacy parameter. IP/Hostname of an MLAT provider (`mlat-client`). Note - using this parameter will not make the MLAT data part of the consolidated mlathub. The preferred way of ingesting MLAT results is using the `mlathub` functionality of the container, see below for details | |
| `MLATPORT` | Legacy parameter used with `MLATHOST`. TCP port number of an MLAT provider (`mlat-client`) | 30105 |
Instead of (or in addition to) using `BEASTHOST`, you can also define ADSB data ingests using the `READSB_NET_CONNECTOR` parameter. This is the preferred way if you have multiple sources or destinations for your ADSB data. This variable allows you to configure incoming and outgoing connections. The variable takes a semicolon (`;`) separated list of `host,port,protocol[,uuid=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX]`, where:
-`host` is an IP address. Specify an IP/hostname/containername for incoming or outgoing connections.
-`port` is a TCP port number
-`protocol` can be one of the following:
-`beast_reduce_out`: Beast-format output with lower data throughput (saves bandwidth and CPU)
-`beast_reduce_plus_out`: Beast-format output with extra data (UUID). This is the preferred format when feeding the "new" aggregator services
-`beast_out`: Beast-format output
-`beast_in`: Beast-format input
-`raw_out`: Raw output
-`raw_in`: Raw input
-`sbs_out`: SBS-format output
-`vrs_out`: SBS-format output
-`uuid=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX` is an optional parameter that sets the UUID for this specific instance. It will override the global `UUID` parameter. This is only needed when you want to send different UUIDs to different aggregators.
NOTE: If you have a UAT dongle and use `dump978` to decode this, you should use `READSB_NET_CONNECTOR` to ingest UAT data from `dump978`. See example below
There are many optional parameters relating to the ingestion of data and the general networking functioning of the `readsb` program that implements this functionality.
| `READSB_NET_BEAST_REDUCE_FILTER_DIST` | Restrict beast-reduce output to aircraft in a radius of X nmi | `--net-beast-reduce-filter-dist=<nmi>` | Unset |
| `READSB_NET_BEAST_REDUCE_FILTER_ALT` | Restrict beast-reduce output to aircraft below X ft | `--net-beast-reduce-filter-alt=<ft>` | Unset |
| `READSB_WRITE_STATE_ONLY_ON_EXIT` | if set to anything, it will only write the status range outlines, etc. upon termination of `readsb` | `--write-state-only-on-exit` | Unset |
| `READSB_JSON_INTERVAL` | Update interval for the webinterface in seconds / interval between aircraft.json writes | `--write-json-every=<sec>` | `1.0` |
| `READSB_JSON_TRACE_INTERVAL` | Per plane interval for json position output and trace interval for globe history | `--json-trace-interval=<sec>` | `15` |
| `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 |
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:
-`mlat-server.com` is the domain name or ip address of the target MLAT server (mandatory)
-`port` is the port (TCP or UDP) of the target MLAT server (mandatory)
-`return_port` is the port at which the MLAT results are made available in BEAST format. We recommend to sequentially number them starting at 39000 (optional)
-`uuid=xxxx` defines a unique user ID for this MLAT server instance. If included, the string must start with `uuid=` (optional)
-`input_connect=hostname:port` / `lat=xxxx` / `lon=xxxx` / `alt=xxxx` defines a unique input connection/latitude/longitude/altitude. This can be used to connect to a remote Beast source and forward MLAT data to an MLAT server
If no UUID is specified with the `MLAT_CONFIG` parameter, it will use the value of the `UUID` parameter if it exists. If that fails, a random UUID will be generated for each instance of `mlat-client` with format `00000000-ffff-aaaa-rrrr-tttttttttttt` where `rrrr` is a random hexadecimal number and `tttttttttttt` contains the UUID creation time (secs since epoch) in hexadecimal format.
The Container creates an interactive web interface displaying the aircraft, based on Wiedehopf's widely used [tar1090](https://github.com/wiedehopf/tar1090) software.
Note - due to design limitations of `readsb`, the `tar1090` graphical interface will by default ONLY show MLAT results from the aggregators/MLAT sources that were defined with the `MLAT_NET_CONNECTOR` parameter. If you want to show any additional MLAT results (for example, those from `piaware`), you should add a separate `READSB_NET_CONNECTOR` entry for them.
| `URL_978` | The URL needs to point at where you would normally find the skyview978 webinterface, for example `http://192.168.0.29/skyaware978`. Note -- do not use `localhost` or `127.0.0.1 | |
| `TAR1090_ENABLE_AC_DB` | Set to `true` to enable extra information, such as aircraft type and registration, to be included in in `aircraft.json` output. Will use more memory; use caution on older Pis or similar devices. | `false` |
| `HEYWHATSTHAT_PANORAMA_ID` | Your `heywhatsthat.com` panorama ID. See <https://github.com/wiedehopf/tar1090#heywhatsthatcom-range-outline> | |
| `HEYWHATSTHAT_ALTS` | Comma separated altitudes for multiple outlines. Use no units or `ft` for feet, `m` for meters, or `km` for kilometers. Only integer numbers are accepted, no decimals please | `12192m` (=40000 ft) |
| `HTTP_ACCESS_LOG` | Optional. Set to `true` to display HTTP server access logs. | `false` |
| `HTTP_ERROR_LOG` | Optional. Set to `false` to hide HTTP server error logs. | `true` |
- For documentation on the aircraft.json format see this page: <https://github.com/wiedehopf/readsb/blob/dev/README-json.md>
- TAR1090_ENABLE_AC_DB causes readsb to load the tar1090 database as a csv file from this repository: <https://github.com/wiedehopf/tar1090-db/tree/csv>
| `TAR1090_PAGETITLE` | Set the tar1090 web page title | `tar1090` |
| `TAR1090_PLANECOUNTINTITLE` | Show number of aircraft in the page title | `false` |
| `TAR1090_MESSAGERATEINTITLE` | Show number of messages per second in the page title | `false` |
#### `tar1090` `config.js` Configuration - Output
| Environment Variable | Purpose | Default |
|----------------------|---------|---------|
| `TAR1090_DISPLAYUNITS` | The DisplayUnits setting controls whether nautical (ft, NM, knots), metric (m, km, km/h) or imperial (ft, mi, mph) units are used in the plane table and in the detailed plane info. Valid values are "`nautical`", "`metric`", or "`imperial`". | `nautical` |
| `TAR1090_BINGMAPSAPIKEY` | Provide a Bing Maps API key to enable the Bing imagery layer. You can obtain a free key (with usage limits) at <https://www.bingmapsportal.com/> (you need a "basic key"). | `null` |
| `TAR1090_DEFAULTCENTERLAT` | Default center (latitude) of the map. This setting is overridden by any position information provided by dump1090/readsb. All positions are in decimal degrees. | `45.0` |
| `TAR1090_DEFAULTCENTERLON` | Default center (longitude) of the map. This setting is overridden by any position information provided by dump1090/readsb. All positions are in decimal degrees. | `9.0` |
| `TAR1090_DEFAULTZOOMLVL` | The google maps zoom level, `0` - `16`, lower is further out. | `7` |
| `TAR1090_SITESHOW` | Center marker. If dump1090 provides a receiver location, that location is used and these settings are ignored. Set to `true` to show a center marker. | `false` |
| `TAR1090_SITELAT` | Center marker. If dump1090 provides a receiver location, that location is used and these settings are ignored. Position of the marker (latitude). | `45.0` |
| `TAR1090_SITELON` | Center marker. If dump1090 provides a receiver location, that location is used and these settings are ignored. Position of the marker (longitude). | `9.0` |
| `TAR1090_SITENAME` | The tooltip of the center marker. | `My Radar Site` |
| `TAR1090_RANGE_OUTLINE_COLOR` | Colour for the range outline. | `#0000DD` |
| `TAR1090_RANGE_OUTLINE_WIDTH` | Width for the range outline. | `1.7` |
| `TAR1090_RANGE_OUTLINE_COLORED_BY_ALTITUDE` | Range outline is coloured by altitude. | `false` |
| `TAR1090_RANGE_OUTLINE_DASH` | Range outline dashing. Syntax `[L, S]` where `L` is the pixel length of the line, and `S` is the pixel length of the space. | Unset |
| `TAR1090_ACTUAL_RANGE_OUTLINE_COLOR` | Colour for the actual range outline | `#00596b` |
| `TAR1090_ACTUAL_RANGE_OUTLINE_WIDTH` | Width of the actual range outline | `1.7` |
| `TAR1090_ACTUAL_RANGE_OUTLINE_DASH` | Dashed style for the actual range outline. Unset for solid line. `[5,5]` for a dashed line with 5 pixel lines and spaces in between | Unset |
| `TAR1090_MAPTYPE_TAR1090` | Which map is displayed to new visitors. Valid values for this setting are `osm`, `esri`, `carto_light_all`, `carto_light_nolabels`, `carto_dark_all`, `carto_dark_nolabels`, `gibs`, `osm_adsbx`, `chartbundle_sec`, `chartbundle_tac`, `chartbundle_hel`, `chartbundle_enrl`, `chartbundle_enra`, `chartbundle_enrh`, and only with bing key `bing_aerial`, `bing_roads`. | `carto_light_all` |
| `TAR1090_MAPDIM` | Default map dim state, true or false. | `true` |
| `TAR1090_MAPDIMPERCENTAGE` | The percentage amount of dimming used if the map is dimmed, `0`-`1` | `0.45` |
| `TAR1090_MAPCONTRASTPERCENTAGE` | The percentage amount of contrast used if the map is dimmed, `0`-`1` | `0` |
| `TAR1090_DWDLAYERS` | Various map layers provided by the DWD geoserver can be added here. [Preview and available layers](https://maps.dwd.de/geoserver/web/wicket/bookmarkable/org.geoserver.web.demo.MapPreviewPage?1&filter=false). Multiple layers are also possible. Syntax: `dwd:layer1,dwd:layer2,dwd:layer3` | `dwd:RX-Produkt` |
| `TAR1090_LABELZOOM` | Displays aircraft labels only until this zoom level, `1`-`15` (values >`15` don't really make sense)| |
| `TAR1090_LABELZOOMGROUND` | Displays ground traffic labels only until this zoom level, `1`-`15` (values >`15` don't really make sense) | |
#### `tar1090` `config.js` Configuration - Range Rings
| Environment Variable | Purpose | Default |
|----------------------|---------|---------|
| `TAR1090_RANGERINGS` | `false` to hide range rings | `true` |
| `TAR1090_RANGERINGSDISTANCES` | Distances to display range rings, in miles, nautical miles, or km (depending settings value '`TAR1090_DISPLAYUNITS`'). Accepts a comma separated list of numbers (no spaces, no quotes). | `100,150,200,250` |
| `TAR1090_RANGERINGSCOLORS` | Colours for each of the range rings specified in `TAR1090_RANGERINGSDISTANCES`. Accepts a comma separated list of hex colour values, each enclosed in single quotes (eg `TAR1090_RANGERINGSCOLORS='#FFFFF','#00000'`). No spaces. | Unset |
| `ENABLE_AIRSPY` | Optional, set to any non-empty value if you want to enable the special AirSpy graphs. See below for additional configuration requirements | Unset |
ADS-B over UAT data is transmitted in the 978 MHz band, and this is used in the USA only. To display the corresponding graphs, you should:
1. Set the following environment parameters:
```yaml
- URL_978=http://dump978/skyaware978
```
2. Install the [`docker-dump978` container](https://github.com/sdr-enthusiasts/docker-dump978). Note - only containers downloaded/deployed on/after Feb 8, 2023 will work.
Note that you **must** configure `URL_978` to point at a working skyaware978 website with `aircraft.json` data feed. This means that the URL `http://dump978/skyaware978/data/aircraft.json` must return valid JSON data to this `tar1090` container.
By default, the system will use the temperature available at Thermal Zone 0. This generally works well on Raspberry Pi devices, and no additional changes are needed.
On different devices, the Core Temperature is mapped to a different Thermal Zone. To ensure the Core Temperature graph works, follow these steps
First check out which Thermal Zone contains the temperature you want to monitor. On your host system, do this:
```bash
for i in /sys/class/thermal/thermal_zone* ; do echo "$i - $(cat ${i}/type) - $(cat ${i}/temp 2>/dev/null)"; done
Repeat this a few times to ensure that the temperature varies and isn't hardcoded to a value. In our case, either Thermal Zone 5 (`pch_skylake` is the Intel Core name) or Thermal Zone 8 (the temp of the entire SOC package) can be used. Once you have determined which Thermal Zone number you want to use, map it to a volume like this. Make sure that the part to the left of the first `:` reflects your Thermal Zone directory; the part to the right of the first `:` should always be `/sys/class/thermal/thermal_zone0:ro`.
Note that you will have to add `- privileged: true` capabilities to the container. This is less than ideal as it will give the container access to all of your system devices and processes. Make sure you feel comfortable with this before you do this.
Note - *this feature is still somewhat experimental. If you are really attached to your statistics/graphs1090 data, please make sure to back up your mapped drives regularly*
If you are using a Raspberry Pi or another type of computer with an SD card, you may already be aware that these SD cards have a limited number of write-cycles that will determine their lifespan. In other words - a common reason for SD card failure is excessive writes to it.
By the nature of having to log lots of data the `graphs1090` functionality writes a lot to the SD card. To reduce the number of write cycles, there are a few parameters you can set.
Enabling this functionality will cause `graphs1090` to temporarily write all data to volatile memory (`/run`) instead of persistent disk space (`/var/lib/collectd`). This data is backed up to persistent disk space in regular intervals and upon (graceful) shutdown of the container.
Note -- there is a chance that the data isn't written back in time (due to power failures, non-graceful container shutdowns, etc), in which case you may lose statistics data that has been generated since the last write-back.
The feature assumes that you have mapped `/var/lib/collectd` to a volume (to ensure data is persistent across container recreations), and `/run` as a `tmpfs` RAM disk, as shown below and also as per the [`docker-compose.yml` example](docker-compose.yml):
Legacy: **We recommend AGAINST enabling this feature** as it has been replaced with <http://dockerhost:port/?replay>. `timelapse1090` writes a lot of data to disk, which could shorten the lifespan of your Raspiberry Pi SD card. The replacement functionality is better and doesn't cause any additional disk writes.
| `ENABLE_TIMELAPSE1090` | Optional / Legacy. Set to `true` to enable timelapse1090. Once enabled, can be accessed via <http://dockerhost:port/timelapse/> | Unset |
No paths need to be mapped through to persistent storage. However, if you don't want to lose your range outline and aircraft tracks/history and heatmap / replay data on container restart, you can optionally map these paths:
| `/opt/adsb/ultrafeeder/globe_history:/var/globe_history` | Holds range outline data, heatmap / replay data and traces if enabled.
*Note: this data won't be automatically deleted, you will need to delete it eventually if you map this path.* |
| `/opt/adsb/ultrafeeder/timelapse1090:/var/timelapse1090` | Holds timelapse1090 data if enabled. (We recommend against enabling this feature, see above) |
| `/opt/adsb/ultrafeeder/collectd:/var/lib/collectd` | Holds graphs1090 & performance data |
| `/proc/diskstats:/proc/diskstats:ro` | Makes disk statistics available to `graphs1090` |
| `/sys/class/thermal/thermal_zone8:/sys/class/thermal/thermal_zone0:ro` | Only needed on some systems to display the CPU temperature in `graphs1090`, see [here](#configuring-the-core-temperature-graphs) |
An "MLAT Hub" is an aggregator of MLAT results from several sources. Since the container is capable of sending MLAT data to multiple ADSB aggregators (like adsb.lol/fi/one, etc), we built in a capability to:
Note - due to design limitations of `readsb`, the `tar1090` graphical interface will by default ONLY show MLAT results from the aggregators/MLAT sources that were defined with the `MLAT_NET_CONNECTOR` parameter. If you want to show any additional MLAT results (for example, those from `piaware`), you should add a separate `READSB_NET_CONNECTOR` for them. Adding these sources only to `MLATHUB_NET_CONNECTOR` will make the data available on the MLATHUB, but won't display them on your `tar1090` map.
| `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 |
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.
See [README-grafana.md](README-grafana.md) for detailed instruction on how to configure this.
**NOTE - READ CAREFULLY**: As of 27 April 2023, the `latest` image no longer contains Telegraf. If you want to send metrics to InfluxDB or Prometheus, please use this image:
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.
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:
| Variable | Description |
| ---- | ---- |
| `INFLUXDBV2_URL` | The URL of the InfluxDB instance |
| `INFLUXDBV2_TOKEN` | The token for authentication |
| `INFLUXDBV2_BUCKET` | Destination bucket to write into |
| `INFLUXDBV2_ORG` | InfluxDB Organization to write into |
- The [SDR-Enthusiasts team](https://github.com/sdr-enthusiasts) ([Mike Nye](https://github.com/mikenye), [Fred Clausen](https://github.com/fredclausen)) for all the foot and leg work done to create the base images on which the container is built
- [Wiedehopf](https://github.com/wiedehopf) for modifying, creating, maintaining, and adding features to many of the components of this container including [readsb](https://github.com/wiedehopf/readsb), [tar1090](https://github.com/wiedehopf/tar1090), [graphs1090](https://github.com/wiedehopf/graphs1090), [autogain](https://github.com/wiedehopf/adsb-scripts/wiki/Automatic-gain-optimization-for-readsb-and-dump1090-fa), and many more components, and for helping debug the container whenever the need arised
- [John Norrbin](https://github.com/Johnex) for his ideas, testing, feature requests, more testing, nagging, pushing, prodding, and overall efforts to make this a high quality container and for the USB "hotplug" configuration
- The community at the [SDR-Enthusiasts Discord Server](https://discord.gg/sTf9uYF) for helping out, testing, asking questions, and generally driving to make this a better product
- Of course the Open Source community at large, including [Salvatore Sanfilippo](https://github.com/antirez) and [Oliver Jowett](https://github.com/mutability) who wrote the excellent base code for `dump1090` from which much of this package is derived
