oott/README.md

OOTT

Easy to setup and use network device discovery and alert system

Licensed under AGPL v3. See LICENSE.

• What is it?
• Installation & configuration
  • Install OOTT using Docker
  • Install OOTT using NixOS flakes
  • Configuration options
  • Network ports
• Storage considerations

What is it?

OOTT provides a service that runs behind the scenes and monitors your local network. It's most relevant features are:

• Scan network regularly using ARP probes
• Notify when a new device is found
• Notify when a device changed it's IP address or network interface vendor (based on its MAC address)
• Notify when a device came back online after a configurable period of being offline

OOTT can be installed as a NixOS module (using flakes) or as a docker image, see below for instructions on how to deploy and configure it.

Installation & configuration

Install OOTT using Docker

OOTT is available on Docker Hub as a pre-built image here. To use it I recommend using docker compose, you can find a sample compose file here.

If you use our Docker Hub image and docker compose the steps you have to follow are:

1. Create a folder structure in your host
2. Create the configuration file
3. Create the docker-compose.yml file
4. Start the service

1. Create a folder structure in your host

You need a place to store the docker-compose.yml file, the OOTT configuration file and the database that will store the application state:

mkdir -p /docker/oott/config
mkdir -p /docker/oott/db

You can choose whatever structure or locations you choose. Note that:

• The user that runs the docker process must have read access to the config folder and read/write access to the db folder
• OOTT uses SQLite and it doesn't really like remote access so the db/ folder should be local to your docker host

2. Create the configuration file

Create the oott.toml file (for example at /docker/oott/config/oott.toml in your docker host) and populate it with your preferences. You can use the provided example as baseline.

Important

The database.path option must always be set to "/db/oott.db" when using our docker image.

3. Create the docker-compose.yml file

Create a docker compose file to run the container (for example at /docker/oott/docker-compose.yml), you can use the provided example as is or adjust it to match your environment.

4. Start the service

Run docker compose up -d from where you placed your docker-compose.yml file and verify everything is running smoothly.

You can check the applications log using docker logs CONTAINER_ID -f, to see the active containers you can use docker ps.

Install OOTT using NixOS flakes

OOTT comes with a pre-built NixOS flake that you can integrate in your configuration. If you are not using flakes, well you should. If you still won't I guess you can use the flake code as a baseline and write your own derivation.

To integrate the OOTT flake into your config in most cases you should do the following:

1. Add OOTT to your inputs
2. Add the OOTT module and overlay
3. Enable and setup OOTT in your system configuration

1. Add OOTT to your inputs

In your flake.nix inputs section add OOTT:

inputs = {
  ...
  oott = {
    url = "github:rzuasti/oott";
    inputs.nixpkgs.follows = "nixpkgs";
  };
  ...
};

2. Add the OOTT module and overlay

In your flake.nix modules section add the OOTT module and overlay:

...
modules = [
  ...
  oott.nixosModules.oott
  ({pkgs, ...}: {
    nixpkgs.overlays = [
      oott.overlays.default
      ];
  })
  ...
];
...

3. Enable and setup OOTT in your system configuration

Finally, in your configuration.nix (or in an import file) enable and configure OOTT (note that you should embed the following sections in your file appropriately):

{
  pkgs,
  ...
}
: {
  environment.systemPackages = with pkgs; [
    oott
  ];

  services.oott = {
    enable = true;
    database.path = "/var/lib/oott.db";
    # networking.interface = "eth0"; # Optional: auto-detected if not set
    log.level = "info";
    timings.wait_between_scans = "15m";
    timings.arp_sender_timeout = "20m";
    timings.arp_scan_duration = "30m";
    notifications.method = "pushover";
    notifications.notify_when_not_seen_for = "1w";
    notifications.pushover.token = "YOUR API TOKEN GOES HERE";
    notifications.pushover.user_key = "YOUR USER TOKEN GOES HERE";
    retention.window = "365d";
  };
}

Configuration options

The system configuration is centralized in a single config file, you can use TOML, JSON or YAML to write it.

If you are using the provided NixOS flake you should set all the options via nix in the service definition (see above).

If you are using Docker I recommend writing the config using TOML, here is a sample with all the supported options.

Options list

Option	Sample value	Description
database.path	/var/lib/oott.db	Location of the system database
networking.interface	eno1	Network interface to use for scans. Optional — if not set, the first non-loopback connected interface is used automatically.
log.level	info	Log level to use (trace, debug, info, warn, error)
timings.wait_between_scans	15m	Time to wait between each network scan (you can express it in seconds, minutes, hours, etc. as a suffix - for example: 30s, 10m, 1h)
timings.arp_sender_timeout	1m	If the ARP sender process takes longer than this it will be stopped (for a class C network - 254 IPs - it should take less than a minute)
timings.arp_scan_duration	10m	How long to wait for response packets on each scan (5m to 10m is a good timeframe for a class B or C network)
notifications.method	pushover	For now just pushover, you can set this to "none" to avoid sending notifications (it will just log)
notifications.notify_when_not_seen_for	1w	Send a notification if a device comes back online after not being seen for this timeframe (you can use hours, weeks, etc.)
notifications.pushover.token		Your pushover token goes here, just copy&paste from their website after creating the app
notifications.pushover.user_key		User key goes here, this is the account wide code for pushover
retention.window	365d	How long to retain device events and notifications. Records older than this are purged daily. Accepts duration strings (e.g. 90d, 1y, 6m). Defaults to one year.

Network ports

OOTT binds to the following ports on the host where it runs:

Port	Protocol	Configurable	Used by
3000	TCP	Yes (web_server.port)	REST API and web UI
5353	UDP (multicast)	No — fixed	mDNS/Bonjour scanner
1900	UDP (multicast)	No — fixed	SSDP/UPnP scanner
67	UDP (broadcast)	No — fixed	DHCP scanner

Important

The mDNS (UDP 5353), SSDP (UDP 1900) and DHCP (UDP 67) ports are fixed by their respective protocols and cannot be changed. They must be available on the server where OOTT is installed.

OOTT binds these sockets with address/port reuse, so it can run alongside other responders already listening on them (for example avahi on 5353, minidlna on 1900, or a DHCP server/relay on 67). However, the ports must not be blocked by a host firewall, and the corresponding multicast/broadcast traffic must be allowed to reach the host — otherwise the scanners will not discover any devices.

Port 67 is a privileged port, so OOTT must run with sufficient privileges to bind it (it already requires raw-socket access for the ARP scanner).

When running under Docker these scanners require host networking (or an equivalent setup that exposes the host's multicast and broadcast traffic to the container); see the sample compose file.

Storage considerations

OOTT stores a timestamped event in the database for every device detected on every scan. Storage therefore scales with three factors: number of active devices, scan frequency, and the retention window.

Estimates by network size

The figures below assume a 1-minute scan duration (arp_scan_duration = 1m) with a 1-minute wait between scans (wait_between_scans = 1m), giving 720 scans per day, and a 365-day retention window. Assume all devices are continuously online (worst case).

Network size	Active devices	Storage / year
Home network	20–50	~1–2 GB
Homelab	50–100	~2–4 GB
Small office	100–200	~4–7 GB
Medium office	200–500	~7–18 GB

The rough formula behind these numbers is:

storage ≈ devices × scans_per_day × 145 bytes × retention_days

where 145 bytes covers the database row and its index entry, and scans_per_day = 86400 / (scan_duration_seconds + wait_between_scans_seconds).

Tuning scan timings and retention to control storage

Storage is directly proportional to scan frequency and retention window. The two main levers are:

Scan interval — timings.wait_between_scans is the most effective knob. Increasing it reduces scans per day linearly:

wait_between_scans	Scans/day (with 1m scan)	Storage vs. 1m+1m
1m	720	1× (baseline)
4m	288	0.4×
15m	90	0.12×
30m	48	0.07×

A 15-minute wait (the default) cuts storage to about one eighth of the worst-case figures above — the medium office drops from up to 18 GB to roughly 2 GB per year.

Retention window — retention.window sets how far back history is kept. Halving the window halves the storage. Useful reference points:

retention.window	Use case
30d	Minimal footprint, recent activity only
90d	A quarter's worth of history
180d	Six months — good middle ground
365d	One year (default)

Recommended starting points by network type:

Network	wait_between_scans	retention.window	Approx. storage
Home	15m	365d	~100–250 MB
Homelab	5m	180d	~350–700 MB
Small office	5m	90d	~175–350 MB
Medium office	15m	90d	~175–450 MB