A single-binary internet connectivity monitor with a built-in web dashboard,
native speedtests, and a Prometheus /metrics endpoint. It continuously checks
your connection by pinging several always-on internet landmarks at once and going
by majority vote (a quorum across multiple anchors), with anti-flapping
(debounce) so a single blip isn't mistaken for a real outage. It records
latency, uptime, and speed to SQLite and shows it all in a live UI - no runtime
to install.
This is the live demo - same dashboard, synthetic data:
go build -o pingularity . # requires Go 1.25.13+; pure Go, no cgo
./pingularity # probes every 5s; UI on http://localhost:9000No flags needed. The UI binds :9000 by default, but every install starts
private: a built-in filter answers only the machine it runs on, and other
devices get 403 until you flip Network access on in the settings drawer's
Access tab (flip it on and hit Save; the tab shows the address to use), or start
with -access network. This is true in a container too - a published port
returns 403 until you set -access network (or -e PINGULARITY_ACCESS=network),
so a container is never accidentally exposed. -listen 127.0.0.1:9000 hard-pins
it to local-only at the socket level regardless.
Connectivity is probed over both IPv4 and IPv6 (each as an independent
quorum of three anycast anchors). IPv6 is auto-detected - skipped on IPv4-only
hosts - and the families are tracked separately, so an IPv6-only outage is
visible without falsely reporting the whole link down. Overall status is
"online" when either family has connectivity. Be precise about where that
shows up: a single-family outage appears in the live status bubbles, the raw
latency samples, and the monitor.v4_only_down_s / monitor.v6_only_down_s
counters - but outage events, the downtime heatmap, and the uptime ratios are
driven by the overall state, so a loss of just one family is not recorded as
downtime there. That is the intended reading of "either family": the link still
carried traffic.
Prebuilt binaries and packages for Linux, macOS, and Windows (amd64 + arm64) are
published on every tagged release. Pick the channel that fits your OS - each one
lands the same single static binary. The .deb/.rpm packages also register
and start the background service for you; Homebrew and winget install the binary
and leave pingularity install to you (each section below says which).
Fastest path is a native package (sets up and starts the systemd service, drops
an EnvironmentFile for flags, and runs the daemon as a dedicated unprivileged
pingularity user granted just an ambient CAP_NET_RAW - enough for the
raw-socket traceroute behind the Exit panel - inside a systemd sandbox, so
it is never root):
# Debian / Ubuntu (.deb)
sudo apt install ./pingularity_*.deb
# Fedora / RHEL (.rpm)
sudo dnf install ./pingularity_*.rpm
# openSUSE (.rpm) - same package, openSUSE's own package manager
sudo zypper install ./pingularity_*.rpmBoth start pingularity.service immediately (systemctl status pingularity),
put the database in /var/lib/pingularity, and read flags from
/etc/default/pingularity (EnvironmentFile) - edit that and
systemctl restart pingularity to change them.
Prefer no package manager? Grab the .tar.gz for your arch from the
Releases page, extract it,
and use the binary's own installer:
tar xzf pingularity_*_linux_amd64.tar.gz
sudo cp pingularity /usr/local/bin/
sudo pingularity install # registers, configures, and starts the systemd serviceOr run it as a container (see Docker for why the flags matter):
docker run -d --name pingularity --restart unless-stopped \
--network=host --cap-add=NET_RAW \
-v pingularity-data:/var/lib/pingularity \
ghcr.io/pingular/pingularitybrew install pingular/tap/pingularity
sudo pingularity install # registers the launchd service and starts itbrew upgrade later pulls new versions; sudo pingularity uninstall removes the
service (data untouched).
irm https://install.pingularity.dev/winget.ps1 | iexOne paste from any PowerShell. The script elevates itself (one UAC click),
updates a too-old winget first (fresh Windows images ship one that fails zip
installs silently), points winget at the maintainer-hosted package source
(winget.pingularity.dev - so installs and upgrades never wait on app-store
moderation), installs under Program Files, and registers + starts the
Windows service. Re-running the same paste later updates: it stops the
service, upgrades, and starts it again. Prefer to run the steps yourself?
This is what it does, from an elevated PowerShell:
winget source add -n pingularity -a https://winget.pingularity.dev -t Microsoft.Rest --accept-source-agreements
winget install pingular.pingularity -s pingularity --scope machine
& "$env:ProgramFiles\WinGet\Links\pingularity.exe" install # registers the Windows service and starts itThe source add is one-time (re-running it just reports the source already
exists). --scope machine matters - it installs under Program Files, where
the Windows service expects its binary; keep it on upgrades too. The last line
spells out the exe's path because winget adds pingularity to the PATH of
new shells only - from your next terminal onward, plain pingularity works.
If the install fails silently right after "Successfully verified installer
hash", your winget is outdated: update App Installer in the Microsoft
Store and re-run.
Downloaded a raw binary in a browser? macOS Gatekeeper or Windows SmartScreen may block it as "unidentified". Clear the quarantine flag once and it runs:
xattr -d com.apple.quarantine ./pingularity # macOSUnblock-File .\pingularity.exe # WindowsInstalls via brew, winget, apt/dnf, and docker don't trip this at all - the prompt only appears for a file you fetched directly with a browser.
docker run -d --name pingularity --restart unless-stopped \
--network=host --cap-add=NET_RAW \
-v pingularity-data:/var/lib/pingularity \
ghcr.io/pingular/pingularityThe image is multi-arch (amd64 + arm64). --restart unless-stopped is there
because a connectivity monitor that stays down after a reboot is silently
useless - Docker brings it back with the daemon unless you stopped it
yourself. Two more flags matter:
--network=host(load-bearing) - Pingularity measures your host's internet path. Behind Docker's default bridge network you'd instead measure the container's NAT'd view (extra hop, wrong latency, and a traceroute that dead-ends at the Docker gateway). Host networking also means the UI is reachable on the host's:9000directly - no-pneeded. Docker Desktop (macOS, Windows) can't reproduce this the same way. Desktop runs the container inside its own Linux VM, so--network=hostattaches to that VM's network namespace, not your Mac's or PC's interfaces. Docker Desktop 4.34+ does add opt-in host networking (enable it under Settings -> Resources -> Network), but it only bridges TCP and UDP flows between the host and the VM - it still does not expose the host's own interfaces or anything below L4, so the raw-ICMP traceroute behind the Exit panel and true native-host parity remain unavailable. Even with it turned on, the readings describe the VM's path rather than your machine's. Speedtest numbers are capped the same way: the VM's traffic leaves through a user-space network proxy that terminates every connection and re-opens it from the host, so on a fast link the measured throughput can sit well below what the machine gets natively. A small VM compounds it - the Ookla engine sizes its parallel streams from the CPUs it can see, and VM defaults are often just 2. Giving the VM more cores and memory (Docker Desktop: Settings -> Resources; colima:colima start --cpu 6 --memory 8) wins back the streams and some headroom, but the proxy ceiling stays. All of this applies to every VM-backed runtime, not only Docker Desktop: colima, OrbStack, Rancher Desktop, and Podman machine share the design. Run Pingularity natively on macOS or Windows if you want the measurements to match the host. (The dashboard's container notice is raised for a bridged container, which is the case it can detect; it does not detect Docker Desktop's host-networking mode specifically.)--cap-add=NET_RAW(keep it - without it the container won't start) - the Exit panel walks a raw-socket ICMP traceroute to find where traffic leaves your ISP. The images grant that privilege through a file capability stamped on the binary (cap_net_raw+ep), and the effective (+e) bit makes it mandatory: whenNET_RAWis missing from the container's capability set, the kernel refuses to execute the binary at all, so the container exits immediately with "operation not permitted" - it does not come up with a degraded trace. Stock Docker still grantsNET_RAWby default, so plaindocker runworks without the flag today - but Podman 4+ dropped it from its default set, and--cap-drop=ALL/ a Kubernetescapabilities: {drop: [ALL]}remove it too, so all of those need it added back (--cap-add=NET_RAW; Kubernetesadd: [NET_RAW]) for the container to start. Spelling it out keeps the command correct everywhere. Two related setups behave differently, and the difference is that file capability:--security-opt no-new-privileges(KubernetesallowPrivilegeEscalation: false) does not stop the start: it blocks a file capability from raising privileges at exec even whenNET_RAWis granted, so the daemon runs without the capability and only the trace degrades - the Exit row shows as unavailable, everything else works. The unprivileged ICMP fallback that can save the trace natively is normally closed in a container (a fresh network namespace'sping_group_rangeadmits no group), but you can open it and win the trace back without the capability:--sysctl net.ipv4.ping_group_range="65532 65532"on a bridged container (the same sysctl viasecurityContext.sysctlson Kubernetes). Under--network=hostthe namespace is the host's, so Docker refuses--sysctlthere - widen the host's ownping_group_rangeinstead.- A native binary without the privilege degrades gracefully, because
the release binaries carry no file capability - the deb/rpm unit grants
an ambient
CAP_NET_RAWinstead, and a tarball binary run unprivileged just loses the trace. Only the container images make the capability a start condition.
Reaching the dashboard from other devices. Every install starts loopback-only, containers included - it is never guessed open from the network setup. With
--network=hostthe dashboard answers on the host'slocalhost:9000, but other devices on your LAN get403until you opt in with-access network(or-e PINGULARITY_ACCESS=network) - set a login at the same time. A bridged container that publishes a port with-pneeds the same flag, or the published port returns403. An explicitly passed-access/PINGULARITY_ACCESSis authoritative at every start: it updates a disagreeing saved setting (in either direction) and logs the change, so-e PINGULARITY_ACCESS=networkalso recovers an install whose saved local-only would otherwise lock its published port out. The flip side: while the flag or env stays pinned in your unit/compose file, changing Network access in the UI is overridden again at the next restart - drop the flag to let the UI choice stick.
Upgrading a container from 0.61 or earlier? Up to 0.61 a container answered the network by default; from 0.62 every install starts private. An existing container install keeps its network access across the upgrade: on the first 0.62+ boot, an established database that never stored an access choice - and no explicit
-access/PINGULARITY_ACCESS- is migrated once, persisting network access as its stored choice and logging one warning (upgraded a pre-0.62 container install: kept its network-reachable access). Set a password, or turn Local-only on in the Access tab, when you next visit. Fresh installs are never migrated: their published port answers403, and the403body itself explains the setting that refused you and how to opt in.
The -v pingularity-data:/var/lib/pingularity volume is what makes updates
safe: the SQLite database and pingularity.key (which encrypts saved iperf3
passwords) live there. Skip the volume and a docker pull + recreate throws
away your history and key. Pass flags as arguments after the image name, e.g.
ghcr.io/pingular/pingularity -speedtest-interval 30m - in compose, that means
under command:, e.g. command: ["-allow-host=your.domain"]. Pingularity does
not interpret PINGULARITY_OPTS as flags: that variable is expanded by the
native Linux systemd units from /etc/default/pingularity, and the container
images ignore it.
A named volume is the happy path: on first use Docker copies the image's
data directory into it - owner 65532:65532, mode 0700, plus a marker file
the daemon uses to recognize its own directory - so an unprivileged container
just works. (Some Docker engines loosen a fresh volume's root during that
copy; at boot the daemon re-tightens exactly that directory - its own path,
its own owner, the image's marker - back to 0700 and logs that it did.) A
bind mount is whatever host directory you point at it, and the image's
user won't own it: chown 65532:65532 it first (and chmod 700), or run
with --user <uid>:<gid> matching the directory's owner. Either way the data
lands on the mount - the image's entrypoint pins
-db /var/lib/pingularity/pingularity.db, so a --user override changes who
writes, never where. On Kubernetes, mount the PVC at
/var/lib/pingularity and set securityContext: fsGroup: 65532 so the
kubelet makes the volume writable for the pod (add fsGroupChangePolicy: OnRootMismatch to skip the re-chown on every mount). The daemon notices the
resulting group-writable volume root at each boot and says exactly that: the
shape is how an fsGroup pod writes at all, so it explains it and leaves it
alone, and the database file itself stays owner-only. To make the directory
owner-only and end the notice, chown the volume root to uid 65532 once and
drop fsGroup.
Two image variants ship to the same repo. The default
ghcr.io/pingular/pingularity is a lean distroless image and deliberately ships
no iperf3 - its base has no package manager, so the opt-in iperf3 speedtest
engine can't run there and speedtests fall back to Ookla. If you use the iperf3
engine, pull the -iperf variant instead
(ghcr.io/pingular/pingularity:latest-iperf), a debian-slim image that bundles a
working iperf3 and is otherwise identical - same non-root uid 65532, same
CAP_NET_RAW binary, same volume layout, so every flag above carries over. If
you run it bridged rather than with --network=host, read
iperf3 in a container first: several iperf3 settings
name things only the host has, and the compose file there maps
host.docker.internal so a host-side iperf3 -s stays reachable.
What docker logs shows. Logging is off by default, but the daemon always
prints one startup line to stdout - version, listen address, access mode, and
dashboard URL, e.g. pingularity 0.62.0: listening on :9000, access local-only, dashboard at http://localhost:9000 - so a healthy container is
distinguishable from a hung one. Warnings and errors (the upgrade migration
above, security warnings) still surface at the default level; routine detail
needs the log level raised in the About tab.
Health check. Both images bake in a
HEALTHCHECK ["/pingularity", "healthz"] (every 30s, 5s timeout, 10s start
period): the healthz subcommand fetches http://127.0.0.1:9000/healthz
from inside the container and exits 0 on a 200, so docker ps reports
(healthy)/(unhealthy) with no curl or shell in the image. If you change
-listen, the baked-in probe misses the daemon and the container reads
unhealthy while it is fine: in compose, override it with the exec form -
healthcheck: { test: ["CMD", "/pingularity", "healthz", "-addr", "127.0.0.1:8080"] } - and with plain docker run, pass --no-healthcheck
on the default image (--health-cmd needs a shell, which distroless does not
have; the -iperf image has one).
Read-only root filesystem. The default image runs under
docker run --read-only: everything the daemon writes - the database and its
-wal/-shm sidecars, pingularity.key, and the logs.txt log snapshot -
lives beside the pinned -db path, on the volume. The -iperf variant wants
one addition, --tmpfs /tmp, if you use iperf3 RSA auth: the server's
public key is staged as a temp file for the iperf3 child, and with nowhere to
write it those runs fail with a clear iperf3 auth: temp key error (nothing
else is affected).
Forgot the password? pingularity reset-auth needs the database, and in
a container that means the volume - run it from a one-off container sharing
the volume (the image's entrypoint pins the run subcommand, so override it):
docker run --rm --entrypoint /pingularity \
-v pingularity-data:/var/lib/pingularity \
ghcr.io/pingular/pingularity:<tag> \
reset-auth -db /var/lib/pingularity/pingularity.db
docker restart pingularity # the running daemon caches settings in memoryUse the tag your container runs (docker inspect pingularity --format '{{.Config.Image}}'), so the one-off binary matches the database it opens.
Locked out of a published port? A restore that forces access to
local-only (see the restore notes)
leaves a bridged container's published port answering 403 - including to
the browser that ran the restore. Recreate or restart the container with
-e PINGULARITY_ACCESS=network: an explicit access choice at start overrides
the stored setting. Then set things right in the Access tab.
- apt / dnf - download the newer
.deb/.rpmand reinstall it the same way (sudo apt install ./pingularity_*.deb/sudo dnf install ./pingularity_*.rpm); your data and env file are preserved, and the running service is restarted onto the new binary automatically. - Homebrew -
brew upgrade pingularity, thensudo pingularity restart. - winget - re-run the one-shot
(
irm https://install.pingularity.dev/winget.ps1 | iex), or by hand from an elevated PowerShell, in this order:pingularity stop, thenwinget upgrade pingular.pingularity -s pingularity --scope machine, thenpingularity start. Stop first - winget cannot replace a running service's binary - and keep--scope machine, or winget reinstalls into your user profile and the service loses its program. - Docker -
docker pull ghcr.io/pingular/pingularity, thendocker rm -f pingularityand re-run it (the named volume carries your data across). - tarball - Linux won't let you overwrite a running program file
("text file busy"), so either stop the service first, or copy alongside and
rename over it (rename always works):
sudo cp pingularity /usr/local/bin/pingularity.new sudo mv -f /usr/local/bin/pingularity.new /usr/local/bin/pingularity sudo pingularity restart
The in-app update badge notifies you when a newer release exists - it's a
poll of a maintainer-controlled feed (latest.json), notify-only, and never
touches your install. See RELEASING.md for how that feed is
published.
The .deb/.rpm packages already do this for you; the steps below are for the
tarball, a go build, or a fresh binary you dropped in yourself.
sudo cp pingularity /usr/local/bin/
sudo pingularity install # no flags - DB goes to /var/lib/pingularity, UI on 0.0.0.0:9000; starts the service
pingularity status # running | stopped | not installedThe database path and its directory are chosen and created automatically. On
Windows that is always %ProgramData%\pingularity\ - service or not - so the
installed service and an admin prompt (reset-auth) find the same database.
On Linux and macOS what decides is root, not the service: as root (which is how
install's service runs) it is /var/lib/pingularity/ on Linux and
/Library/Application Support/pingularity/ on macOS; as a regular user it is a
per-user data dir - ~/.config/pingularity/ on Linux ($XDG_CONFIG_HOME
honoured), ~/Library/Application Support/pingularity/ on macOS - with a
temp-dir path as the last resort when there is no home directory at all.
Any flags you do pass to install are persisted into the service definition.
Manage with pingularity start | stop | restart | status | uninstall.
Alongside the database sit logs.txt (the log viewer's ring, so it survives a
restart) and pingularity.key (0600) - the key that encrypts the one secret
that has to be kept recoverable: each saved iperf3 server's password. iperf3 needs
it in the clear at test time (it encrypts it with the server's RSA key itself), so
unlike your dashboard login it can't be hashed. Two things follow:
- Back up the key with the database if you want those passwords to survive a restore. Delete or lose the key and you simply re-enter them; nothing else breaks.
- The key lives next to the database, so this does not protect you from someone who can read the host. What it does protect is the database travelling on its own - a backup, a snapshot, a stray copy - which now carries ciphertext, not your password.
Backup exports never contain passwords at all (neither the login nor the iperf3 ones). They are still sensitive files. A config export deliberately carries your webhook URL and heartbeat URL so that a restore is complete, and for both of those the URL is the credential - there is no separate token to withhold. Anyone holding an export file can post to your alert channel or tick your dead-man's-switch (masking a real outage), so store and share it like a secret, and rotate both URLs at their provider if one leaks. Two more consequences worth knowing before you need them:
- Copying the database files by hand? Stop the service first. While it runs,
recent rows live in a sidecar file (
pingularity.db-wal) that a copy of justpingularity.dbmisses - on a young install that can be everything. A clean stop folds the sidecar back into the main file. (The Data tab's Export is the safe way to back up a running instance - it streams a single consistent read-snapshot, so categories can't skew across it. A full-retention export round-trips, however large - import puts no ceiling on the total file, only on a single record (8 MiB) or a single JSON element (256 MiB), which no real backup reaches.) - Restoring a backup where login was enabled? The export carries the
"login on" preference but never the password, so on a machine that doesn't
already have one the restore leaves login off, forces access to
local-only so it can't fall open to the LAN, and tells you so - set a
new password in the Access tab, then re-enable Network access. (Restoring onto
the same machine, where the password still exists, keeps login working untouched
and access unchanged.) In a container, that forced local-only can lock you out
of a published port -
403, including for the browser that ran the restore - and the import response says so; the way back in is restarting the container with-e PINGULARITY_ACCESS=network, then setting things right in the Access tab. - Restoring onto a different machine? A backup never carries the source's install date, so the destination keeps its own answer to "monitoring since". That date is the denominator behind every uptime figure, and importing it would have this box reporting uptime over a stretch it did not watch. Restore the history too and the date moves anyway - derived from the earliest row that actually arrived, which is a claim the restored data backs up.
One static binary runs a handful of independent goroutine loops that share a SQLite store and a live settings controller. Nothing else is required - the UI, web font, and favicon are embedded; outbound calls are the probes themselves, optional enrichment (geo/ISP/exit), speedtests, and the update check - the full inventory is the outbound-calls table below.
flowchart TB
browser["Browser / Prometheus / curl"]
subgraph bin["pingularity - single binary"]
web["web<br/>UI · JSON API · /metrics<br/>(loopback filter + auth guard)"]
monitor["monitor<br/>probe loop + debounce FSM"]
prober["prober<br/>concurrent quorum dialer"]
sched["speedtest scheduler<br/>(single-flight)"]
netinfo["netinfo<br/>IP · ISP · DNS · exit node"]
notify["notify<br/>webhook + heartbeat"]
settings["settings<br/>live + persisted"]
store[("store - SQLite/WAL<br/>samples · events · speed · settings")]
end
anchors["anycast anchors<br/>1.1.1.1 · 8.8.8.8 · 9.9.9.9 (v4+v6)"]
ext["Ookla · ipify · RIPE IPmap<br/>Team Cymru · Cloudflare"]
watchdog["external watchdog / chat webhook"]
browser -->|HTTP| web
web --> store
web --> settings
monitor --> prober --> anchors
monitor --> store
sched --> store
sched --> ext
netinfo --> ext
monitor -. "settings read live" .-> settings
sched -. "settings read live" .-> settings
monitor -->|outage| notify
sched -->|threshold| notify
notify --> watchdog
| Package | Responsibility |
|---|---|
main |
CLI, OS-service lifecycle (kardianos/service), wiring |
config |
flags, defaults, the anchor target list |
prober |
concurrent IPv4/IPv6 quorum dialer |
monitor |
probe loop + debounced up/down state machine |
store |
SQLite persistence + the uptime/aggregate queries |
settings |
runtime-adjustable values, persisted and broadcast live |
speedtest |
Ookla + iperf3 testers, single-flight scheduler |
netinfo |
public IP/ISP/DNS + exit-node discovery (traceroute) |
notify |
webhook alerts + dead-man's-switch heartbeat |
web |
embedded UI, JSON API, /metrics, access/auth guard |
A run records download, upload, ping, jitter, (best-effort) packet loss, and bufferbloat, plus the bytes used and the connection it ran on (public IP, ISP, DNS resolver). An iperf3 run also records two facts that used to be invisible: the address family (IPv4 or IPv6) the transfer actually used - read back from the run itself, never guessed - and which direction its loss/jitter probe sampled. Not every field is present on every run: a download-only or upload-only run has no figures for the direction it skipped, packet loss is optional and not always measurable, and bufferbloat is absent when a transfer phase was too short to sample, returned too few samples, or the latency target was unreachable. Missing is stored as missing rather than as a zero, so charts and thresholds can tell "not measured" from "measured, and it was bad".
The ping shown is the engine's own number, a mean over ten samples, so it keeps matching what speedtest.net would report. A mean has no defence against an outlier, though: one stalled handshake among nine fast ones reports several times the real latency (and lands in jitter, which is their standard deviation, as a much larger distortion still). So the run also keeps the fastest of those same samples - no extra probes - and everything that decides on latency uses that floor instead: which server wins a best-of round, which server the very first run picks, and whether your ping threshold breached. A pothole shouldn't pick your server or page you, but a genuinely distant link has a high floor too and still breaches. iperf3 reports no per-sample values, so it is judged on its mean exactly as before.
Bufferbloat is the extra lag that appears only while the line is busy - the reason a video call breaks up the moment a big download starts. Pingularity measures it by pinging before the test (idle) and during it (loaded) - both against a fixed target of its own rather than the speedtest server, so only the gap between them is meaningful, and the idle figure will not match the ping recorded above:
flowchart LR
idle["idle link<br/>ping 24 ms"] --> load["speedtest saturates<br/>the connection"]
load --> queued["your packets now wait in the<br/>modem's queue: ping 190 ms"]
queued --> bloat["bufferbloat = 190 - 24<br/>= +166 ms under load"]
Both figures are medians of their probes, and the headline bufferbloat number
- the one the tiles show and the one your max bufferbloat threshold is
compared against - is
median(loaded) - median(idle). The chart also plots a p95 per direction, the sustained bad end of the distribution. p95 is deliberately not the maximum: these are TCP-connect probes, and a single worst sample on one is usually a SYN retransmission (a fixed ~1000 ms OS retry, and ~2000 ms for a second one) rather than queue delay, so a max-based number reports round figures that say more about packet loss than about buffering.
There are two engines, picked in the settings drawer:
- Ookla (speedtest.net) - the default. Numbers match speedtest.net; no setup. Its own knobs: parallel connections and the packet-loss probe.
- iperf3 - opt-in, run against your own
iperf3 -sbox (LAN, homelab, or VPS). It measures what Ookla can't: internal/LAN links and honest upload. Used only when theiperf3binary is installed (otherwise it falls back to Ookla) - present on a native install once you've installed iperf3, and in the container only in the-iperfimage variant, not the default image. Its own knobs: parallel streams, duration, warm-up, TCP window, congestion control, MSS, DSCP, the loss/jitter UDP pass, and - per server - IP version, bind source, and optional RSA auth. In a bridged container several of those knobs point at things only the host has - see iperf3 in a container below.
Direction (both / download / upload, plus iperf3's simultaneous --bidir) and
retries apply to whichever engine is selected.
For iperf3, the separate UDP loss/jitter pass probes the same direction you
test: downstream normally, upstream for an upload-only run - so a one-direction
test on an asymmetric line reports loss for the direction you asked about. That
also means loss and jitter describe one direction per run, never both, and
loss on an asymmetric path genuinely differs by direction - so each sample now
records which way its probe ran. The loss and jitter readouts name the path on
hover, the run tooltip carries it in its Quality line, and it's exported as
udp_direction (down/up) in the API and CSV. Runs that never measured
loss/jitter, Ookla runs, and rows recorded before the field carry no direction
and are shown unlabeled rather than guessed at.
A bridged container (the default docker run/compose network) has its own
network namespace: its own localhost, its own interfaces and addresses, its
own /etc/hosts, and NAT between it and everything else. Several iperf3
settings are host-referential - they name things that exist on the host but
not inside that namespace. All of them fail loudly rather than mismeasure
quietly, and when the daemon knows it runs in a container, most of the failures
carry a container-specific explanation in the error itself (natively the same
errors mean exactly what they say, and get no such note):
- A loopback server address (
localhost,127.0.0.1,::1) - inside a bridged container that is the container, so the connection is refused by the container's own (empty) loopback before it ever reaches theiperf3 -son the host. The settings drawer warns as soon as a saved server points at loopback while the daemon runs bridged (a host-network container's loopback is the host, so it never warns there; it never blocks saving either - the operator may really mean the container), and a failed run's error explains the same thing. Usehost.docker.internal(see the compose file below) or the host's LAN IP. - Server names the host resolves privately - entries in the host's
/etc/hostsand mDNS.localnames resolve natively but not in a bridged container, which has its own hosts file and no mDNS responder. The run fails with iperf3's own name-resolution error (no container-specific hint for this one - the daemon can't tell a host-private name from a typo). Use an IP, or a name the container's DNS resolves. - Bind source = a host IP (
--bind) - the address doesn't exist in the container's namespace, so the bind fails ("cannot assign requested address"), and the error says so. Bind a container address instead, or use host networking. - Bind source = a host interface name (
--bind-dev) - interface names don't cross network namespaces, so it fails ("no such device"), and the error says so. Separately, on kernels older than 5.7SO_BINDTODEVICEneedsCAP_NET_RAW, which the-iperfimage'siperf3deliberately does not have (the capability is stamped on thepingularitybinary alone - see docs/security-model.md) - so on those kernels--bind-devfails in the container even for an interface that does exist inside it. Native installs are unaffected: the deb/rpm unit's ambientCAP_NET_RAWcarries into the iperf3 child. - IP version = IPv6 - the default Docker bridge carries no IPv6 (unless
you've enabled it in the daemon config), so a forced IPv6 run fails outright
("network unreachable"), and the error says why. The quieter half of the
same problem is Auto: it doesn't fail, it silently measures IPv4 where a
dual-stack native install would measure IPv6. That is why every iperf3 run
records the family it actually measured - shown beside the server in the
runs table and run tooltip, exported as
ip_family(4/6) in the API and CSV, and empty (never guessed) on Ookla runs and rows recorded before the field existed.
Two more things a bridged container changes without any error at all:
- MTU. The Docker bridge defaults to an MTU of 1500 no matter what the uplink uses, so over a tunnel or PPPoE uplink with a smaller effective MTU, full-size packets fragment along the way. The UDP loss/jitter probe now sends 1200-byte datagrams (1200 + 8 UDP + 40 IPv6 = 1248, under the 1280-byte IPv6 minimum MTU), so the probe itself can't fragment on any sane path - container or not - and its loss figure can't be fabricated by dropped or late fragments. An oversized MSS setting doesn't error here either: the kernel silently clamps it to what the interface takes.
- LAN line rate. Bridged traffic crosses a veth pair and conntrack NAT, which costs real CPU per packet - against a fast LAN server the measured TCP rate can sit measurably below native line rate, most visibly at multi-gigabit speeds. The number honestly describes the container's network path; it just isn't the host's.
And one setting empties rather than fails: the congestion control
dropdown's suggestions come from
/proc/sys/net/ipv4/tcp_allowed_congestion_control, which exists only in the
host's initial network namespace - a bridged container can't see it, so the
dropdown arrives with no suggestions, and the UI now says why instead of
letting the empty list read as "this host supports no algorithms". An
algorithm you type or import is still passed to iperf3 unchanged.
--network=host makes nearly all of this go away on Linux Docker Engine:
the container shares the host's namespace, so loopback is the host, host IPs
bind, IPv6 works, multicast reaches the wire, and LAN tests measure at native
line rate. Two caveats survive it: .local name resolution still depends on
the image's own resolver (debian-slim has no mDNS module - prefer an IP or
host.docker.internal), and on kernels older than 5.7 an interface-name bind
still fails in the container (the capability note above). It is already the recommended way to run the container (see
Docker - including why Docker Desktop can't provide it).
The canonical compose file for the iperf3-enabled image lives at install.pingularity.dev/compose-iperf.yaml - fetch it from there rather than copying a block from this README: the served file is pinned to the image version it was published with and carries the current comments, so it cannot drift from the daemon the way an inline snapshot here could. Three of its pieces are the ones this section is about:
- It defaults to
network_mode: host, for all the reasons above. - Its
extra_hosts: ["host.docker.internal:host-gateway"]mapshost.docker.internalto the host's gateway address, so aniperf3 -srunning on the host is reachable from the container by that name on Linux Docker Engine too (Docker Desktop resolves the name on its own). - If you must stay bridged (published ports, Docker Desktop without host
networking, an orchestrator that owns the network), it keeps the fallback
as a commented pair -
ports: ["9000:9000"]together withenvironment: ["PINGULARITY_ACCESS=network"]. Uncomment both or neither: from 0.62 a published port alone answers403, because every install starts private (see Docker) - and set a login when you opt in.
One honest caveat either way: a test against an iperf3 -s on the same
machine measures the container-to-host virtual path (or loopback, under
host networking), not any real network - fine as a smoke test, useless as a
line measurement.
Scheduled speedtests are off by default - turn them on in the Speedtest
settings (or with -speedtest). Once enabled, they run on startup and on a
schedule (-speedtest-interval, default 1h). Two extra triggers are governed
separately: a test runs after a reconnect (on by default;
-speedtest-on-reconnect=false to disable) - spaced out so a flapping line
cannot fire tests back to back: at most one reconnect test per
-speedtest-interval, or per 15 minutes when that interval is shorter. There is
also an optional while degraded
toggle in the Speedtest settings (off by default, needs scheduled tests on) that
fires a test when latency stays high without the link fully dropping. Run
now (or POST /api/speedtest) always works.
Only one speedtest runs at a time, and the triggers do not queue behind each
other. If a scheduled slot comes due while any other test is already
running, that slot is skipped and the schedule advances to the next one - it
is not retried, and not run late (the counter
pingularity_stat_total{stat="speed.scheduled_skipped"} records it). A slot
held back by a closed window or a busy link behaves the opposite way:
nothing was measured, so it keeps polling and fires as soon as the condition
clears.
For Ookla, choose a server (search a city) or leave Auto - fastest near you (it reads Auto - fastest in <city> once you've searched one). Auto isn't just "nearest": every server that's effectively equidistant gets to race (in a big city, a dozen providers all sit "0 km away" - one of each is pinged rather than an arbitrary few) and the lowest latency wins. Your own ISP's server, when Ookla lists one nearby and the sponsor name can be matched to your ISP, is guaranteed a place in the race - traffic to it never leaves your provider's network, so it's the most likely winner - but it still has to win on ping like everyone else. (That match is a name heuristic: if your ISP is unknown or trades under a different name than it sponsors servers under, its server simply competes on distance like any other.) The centre of that search is measured, not guessed: the candidate cities your connection names - your ISP's exit-router city (found by traceroute), the city your IP's geolocation puts you in, and the one speedtest.net itself places you in - each enter their six closest servers into one deduplicated ping race, and the city whose server answers fastest becomes the centre. (Ookla returns the servers around a coordinate, so a different centre yields a genuinely different list rather than the same one reordered - picking the wrong city can hide the fast servers entirely, which is why it's raced. The lists usually overlap, and where two candidate cities are close enough to be interchangeable they collapse, so a server never gets to race twice.) A city you searched overrides the race and becomes the centre directly.
The dashboard is built into the binary (no extra services, no CDN - the UI, web
font, and favicon are all embedded) and served at the -listen address. The top
bar carries the live status bubbles - per-family (IPv4/IPv6) latency, process
runtime, 24h/7d uptime, and cumulative speedtest data used (click it for a
breakdown by window). The latency and DNS dots are the theme accent at varying
intensity - full = healthy, fading as latency or DNS gets worse - so the
bar stays calm at a glance and only the dot that needs attention dims. The
uptime, runtime, and data bubbles use plain icons (a pulse line, a clock, and
up/down arrows); their numbers carry the state.
Below that:
- Connection - public IP (v4·v6), ISP + geolocation, the actual upstream
DNS resolver (provider + location), the internet exit: where traffic
leaves the ISP's network - the exit router and peering handoff found by a
built-in traceroute walked to the AS boundary (per-hop RTTs + city; on Linux
this needs root,
CAP_NET_RAW, or a suitableping_group_rangeand is silently omitted otherwise - Windows and macOS need no privileges), plus the Cloudflare PoP serving the connection. A refresh button (top-right) re-runs all of it on demand. A dual-stack host that loses IPv4 for 15+ minutes while IPv6 still works is treated as IPv6-only (identity switches to the IPv6 side) until IPv4 returns. - Speed - Download / Upload / Ping / Jitter / Packet-loss cards plus
bufferbloat (idle vs loaded latency); three stacked history charts (speed
with plan-threshold lines, a ping/jitter quality band, and bufferbloat) with
per-chart Speed / Quality / Bufferbloat show-hide toggles, over a window of
1d / 7d / 30d / 1y, a custom duration, or a typed date range - the custom
box takes plain language (
jul 1 to jul 8,2026-07-01 to 2026-07-08,since jul 1,yesterday,2026,9am to 5pm,3d ago to now) and echoes back the span it read. An end date includes that whole day, and a bare four-digit year means that year. The charts fit whatever data the span actually holds, so picking a wide range with only a little data in it zooms to the data rather than drawing empty margins; a span with no runs says so. While a fixed range is pinned the stat cards follow it rather than the newest run, and a Live button returns to the rolling window, and an expandable all-runs table (paginated, with CSV export and a per-run health badge). - Latency over time - the lowest round-trip across your anchors, plus a separate DNS-resolution line. Each round resolves a random throwaway name through the host's own system resolver (the random label dodges caches, so it times the real lookup path your apps use; an NXDOMAIN answer is healthy - the resolver replied). That line gaps wherever a lookup failed (timeout / SERVFAIL / no resolver), so a DNS gap with the latency line intact means "online, but DNS was struggling." Selectable window (5m / 1h / 6h / 1d / 7d, a custom duration, or a typed date range exactly like the Speed panel; rolling windows are capped at the relevant retention), with red bands marking rounds that failed their checks. Those come from the latency samples themselves, not from the debounced outage log below - so a blip too short to become an outage event still shows a band, and deleting an outage does not erase the bands underneath it. Hover either chart to read the exact point.
- Downtime heatmap - a GitHub-style year of daily outages. A cell's shade is how many outages that day, not how long they lasted: one 23-hour outage and one 1-second blip are both a single event and shade identically, while three blips shade darker than either. Hover a cell for the figure that answers "how bad was it" - the actual downtime, and how much of the day was observed.
- Recent outages - the debounced up/down event log. Each resolved outage has a ✕ to delete it (removes it from the log, heatmap, and uptime stats - handy after planned maintenance you don't want counted).
Who does Pingularity talk to? Only keyless public infrastructure - no API token, no signup, and nothing is ever pushed anywhere. The complete list of outbound calls, so you can audit or firewall them:
Service What it receives When anchors ( 1.1.1.1,8.8.8.8,9.9.9.9+ v6)a TCP handshake, no payload every probe round your own DNS resolver one random throwaway lookup every probe round (DNS line) ipify a "what's my IP" request connection refresh Team Cymru (DNS) IPs from the traceroute path, to name their ASN exit discovery RIPE IPmap router IPs from the traceroute, for geolocation exit discovery ipwho.is, then geojs.io your public IP, for the ISP/geo line connection refresh Cloudflare ( /cdn-cgi/trace)a plain fetch, to learn the serving PoP connection refresh reverse DNS router/host IPs, for names connection refresh Ookla servers the speedtest traffic itself, plus a server-list lookup when a speedtest runs, and when the Server settings tab is opened or a city is searched nominatim.openstreetmap.org the city text you type only when you search a city for a server update.pingularity.dev a version-check fetch (no identifiers) daily, if the update check is on (until the first check succeeds: retried at 1m/5m/15m, then hourly) The six connection refresh and exit discovery rows are the ones that carry your public IP. They stop when monitoring is paused, and the Connection info toggle (Latency tab) stops them for good. Both cover the automatic lookups only - the Connection panel's refresh button still fetches on demand, and the panel says when it is no longer refreshing itself.
Everything else - dashboard, charts, history, alerts evaluation - is fully local. Turn speedtests, the update check, or the DNS probe off and those rows simply never fire. (Alert webhooks and the heartbeat post only to URLs you configure yourself.)
The logo (top-right) opens a tabbed settings drawer; a power toggle in the tab row starts/stops all monitoring. Changes apply live (no restart) and persist across restarts:
- Latency → latency interval, probe timeout, and sensitivity (failures→down / successes→up, IPv6 mode auto/on/off).
- Speedtest → automatic runs on an interval, plus on-reconnect and when-degraded triggers and a skip-when-busy option. Changing the interval shows a live estimate of the daily/monthly data the tests will use (based on your recent runs).
- Server → engine (Ookla or iperf3, each with its own servers and
per-test options), server selection (with city search), test direction, and
retries. Best of 3 servers (Ookla only, off by default) tests your chosen
server plus the two fastest by ping near it - the search is centred on the
server you picked, not on your exit, so the round stays in the area you asked
for (with nothing pinned, they come from the auto location instead). It keeps
only the best result - handy when one server has a bad day and you'd rather
it didn't define your history. The best result is the highest score: a
capacity figure weighting download 70% and upload 30% relative to each
other (not as raw Mbps, so it means the same on a symmetric line and a 20:1
asymmetric one), discounted by ping (roughly 1% per millisecond, topping out
at 20ms). So a server that measured a fifth of your real upload can't hide
behind a big download number, a near-tie on speed goes to the lower-ping
server, and a clearly faster one still wins. Ties break on ping, then jitter, then
bufferbloat; the other two runs are discarded (their
data volume is still counted, since it was really spent). The run that is kept
is one real test, so its ping, jitter and bufferbloat are the winner's too:
when a round is decided on throughput, those columns can jump because the round
changed hands, not because your connection did. It is not averaged across
servers - that would describe a test that never happened - so read latency and
jitter from the charts, which sample continuously and do not depend on who won.
One guard runs before the comparison: when one server reports a direction far
beyond what the rest of the round agrees on (buffer absorption at the server,
not your line), that reading is held to what the round agrees on - for the
decision and for what lands in history - so a speed you never had can't set a
record or pass a threshold. And every round keeps its receipts: which servers
were ranked, raced, measured, or failed, each one's numbers, and why the
winner won - stored next to the run (
GET /api/speed/runs/servers?ts=) and summarised in the logs. Each server gets 90 seconds before it is dropped and the next is tried, so a stalled server can't hold up the round; a whole round budgets 6 minutes of work (3 servers x 90s, plus 90s to pick them), under a 7-minute hard ceiling. It costs roughly 3x the time and data of a normal test, so only the runs worth being thorough about use it: the ones on your chosen interval, and the RUN button. The quick automatic tests - at startup, after a reconnect, and the while-degraded one - always measure a single server. The data estimate on the Speedtest tab accounts for it. - Schedule → optionally restrict when monitoring runs. Latency probing and speedtests are scheduled independently (each off by default = run 24/7); when on, each gets a list of windows, and a window is a weekday selection + a time-of-day range (windows may wrap past midnight). Add multiple windows for split or per-day schedules, with Weekdays / Weekends / Every day / 24/7 / Clear presets, and a "week at a glance" strip under each list shows the merged coverage. Manual "Run now" always works.
- Data → retention: three independent windows - latency samples (default
30 days), speed history (default 365 days), and downtime/outage
history (the heatmap, default 365 days);
0= keep forever - plus per-kind "delete data" buttons, and Export / Import on the same tab: pick any of config / latency / speed / downtime, export them to a JSON file, and import one back - time-series data is merged (existing/newer local rows are kept, only missing rows are added) while config is overwritten and reloaded live. Both ends stream on the wire, but the browser download buffers the file in memory, so a very large backup (years of dense history) can outgrow the tab - the dashboard stops and says so rather than hanging. For one that big, copy the SQLite database file at the-dbpath (that single file is the complete backup), or stream/api/exportstraight to disk withcurl -OJ(add-u user:passwhen a login is set). The import warns you when it matters: restored rows older than your current retention windows will be pruned within the hour (raise retention first to keep them), and a config restore that carried "login on" without a password leaves login off until you set one. - Alerts → Thresholds (min download/upload, max ping/jitter/packet-loss, and max bufferbloat per direction; each run is marked healthy/unhealthy against the values in effect when it ran, with a debounce so one blip doesn't page) and Notifications (alert-on-outage, a generic webhook with a Test button, an optional periodic summary posted to the webhook - off / daily / weekly, a "how it went" report of uptime, median speeds, and outage count/downtime; it always goes out on its cadence and states the span it actually observed, so a period spent scheduled-off or paused is reported as such rather than as a confident 100% - and a dead-man's-switch heartbeat URL).
- Access → access controls (changes here apply on Save).
Network access decides whether other devices can reach the dashboard /
API /
/metrics, or only this machine - a live loopback filter, so remote clients get 403. It starts off everywhere (localhost-only until you flip it), containers included: the loopback filter is enforced the same way in every environment, and a container that must be reachable opts in explicitly with-access network(or-e PINGULARITY_ACCESS=network) rather than being guessed open. The tab shows the reachable address(es) with port plus a static-IP hint. Require login (off by default) gates everything behind a password: browsers get a login form + session cookie, while API clients and Prometheus use HTTP Basic with the same credentials (passwords are capped at 72 bytes, the bcrypt limit). Failed logins are recorded (with source IP) in the log and rate-limited per client. Once a login is active, changing any Access setting - password, username, the login toggle, or Network access - requires re-entering the current password (API callers sendcurrent_password), so a stolen or walked-up browser session cannot quietly take over the account. Forgot the password? Runpingularity reset-authon the host to clear it (in a container, from a one-off container sharing the volume - see Docker). Local-only cannot block a same-host reverse proxy (cloudflared, nginx): it delivers internet visitors as loopback connections, so pair any proxy with login. - Appearance → nine themes - Retro (the default), Light, Dark, Amoled, Cyber, Slate (flat greyscale), Solarized, Parchment, and Ember - plus a Full-width layout toggle and a Corners toggle (Flat squares the panels and controls, Round keeps them rounded), content brightness and fade sliders, UI colours (recolour any of the theme's building blocks: backgrounds, panels, borders, text, status colours, accents - every pixel derives from them), top bar (a colour for the latency and DNS dots - each keeping its health shading - the power button in each state, and the two halves of the wordmark), and chart customization - per-series colours, line thickness and area fill, plus two rows of switches under Thresholds and labels: one to show or hide each threshold line, and one for the chart furniture (Grid lines, Y labels for the numbers up the left, X labels for the times along the bottom, and Y title, which prints what the axis measures sideways down the right edge - LATENCY (ms), SPEED (Mbps), PING (ms), BLOAT (ms)). Turning the Y labels off hands their space back to the chart. All preview live and apply on Save; each picker resets to the theme.
- About → version, the daily update-check toggle, and the log viewer (logging on/off, PII redaction, and copy/download/clear).
Nine built-in themes, every one fully recolourable (backgrounds, panels, status colours, chart series - each picker previews live and resets to the theme):
Notifications post JSON to one webhook URL, shaped per host so the common targets just work. Discord →
{content}, Slack →{text}; every other receiver gets a rich body carrying the alert text undertext/content/message/bodyplus atitle, atype(info/success/warning/failure), and a numericpriority(1 low - 5 urgent). The heartbeat pings an external watchdog (Healthchecks.io, Uptime Kuma push, …) every minute while monitoring is on, so the watchdog can alert you if Pingularity or the whole host goes silent - the one failure the in-band outage alert can't deliver.
Notification recipes (set the webhook URL to):
| Target | URL | Notes |
|---|---|---|
| Discord / Slack | the channel's incoming-webhook URL | shaped automatically |
| Gotify | https://gotify.example/message?token=APP_TOKEN |
uses title / message / priority |
| ntfy | https://ntfy.sh/your-topic (or self-hosted) |
spoken natively: the alert text arrives as the notification body with title, priority (1-5, mapped from severity), and an emoji tag. ntfy.sh is auto-detected; for ntfy on your own domain set Webhook format: ntfy in the Alerts tab |
| Apprise → email, Telegram, Pushover, Gotify, ntfy, … | run the Apprise API server, point at http://apprise:8000/notify/your-key |
one gateway to 100+ services; uses title / body / type |
For email, Telegram, or Pushover, the simple path is Apprise: run the Apprise API server, add those services to an Apprise config key, and point Pingularity's webhook at that key. Self-hosted receivers on your LAN/localhost are allowed (only link-local/cloud-metadata addresses are blocked). For "is Pingularity even alive?" use the separate Heartbeat URL, not the webhook.
Initial values can also be set via flags (-interval, -timeout, -latency,
-down-after, -up-after, -speedtest, -speedtest-interval,
-speedtest-on-reconnect, -ipv6, -retain, -retain-speed,
-retain-downtime); the UI overrides them once changed. -ipv4 is flag-only -
it has no UI setting.
pingularity [run] [flags] monitor + serve the UI (default)
pingularity install [flags] install as a service and start it (flags are persisted)
pingularity start|stop start / stop the installed service
pingularity restart|status restart / show status
pingularity uninstall [-y] remove the service (data untouched)
pingularity reset-auth clear the password + disable auth (recovery)
pingularity healthz probe a running instance's /healthz; exit 0 = healthy
(-addr host:port, default 127.0.0.1:9000)
pingularity version print version
Flags only seed the initial values - almost everything is adjustable live in the settings drawer afterward and persists across restarts. A value you save in the UI is persisted even when it equals what a flag currently supplies, and wins from then on - removing the flag later keeps what you saved. Fields you never save keep following the flag (or the shipped default).
| Flag | Default | Purpose |
|---|---|---|
-listen |
:9000 |
UI + metrics address (127.0.0.1:9000 = local-only at the socket) |
-access |
local |
who may open the dashboard: local (loopback only) or network (reachable from the LAN - set a login). A container that publishes a port needs network (or PINGULARITY_ACCESS=network), or the published port returns 403. Also settable in the UI |
-db |
per-OS (details) | SQLite path (dir auto-created) |
-interval |
5s |
time between probe rounds, 1s-1h (a value saved in the UI takes precedence) |
-timeout |
3s |
per-target dial timeout, 1s-30s (a value saved in the UI takes precedence) |
-down-after / -up-after |
2 / 1 |
consecutive rounds to confirm down / up (1-10) |
-latency |
true |
probe latency/connectivity at all (-latency=false = speedtest-only mode) |
-ipv4 |
auto |
IPv4 probing: auto | on | off (auto = only while the host has an IPv4 address) |
-ipv6 |
auto |
IPv6 probing: auto | on | off (live) |
-speedtest |
false |
run scheduled speedtests (startup + interval); opt-in. On-reconnect tests are governed separately by -speedtest-on-reconnect, the while-degraded trigger by its own UI toggle |
-speedtest-interval |
1h |
time between scheduled speedtests, 1m-24h |
-speedtest-on-reconnect |
true |
speedtest after a reconnect (at most one per -speedtest-interval, or per 15m if that is shorter) |
-retain / -retain-speed / -retain-downtime |
720h (30 days) / 8760h (1 year) / 8760h |
prune windows in Go duration units (0 = keep forever) |
-allow-host |
(none) | extra Host header values the DNS-rebinding guard accepts - only needed behind a reverse proxy on a public domain |
-trusted-proxy |
(none) | proxy IPs/CIDRs whose X-Forwarded-For identifies the real client, so one visitor's failed logins can't rate-limit everyone behind the proxy |
-metrics-token |
(none) | optional read-only token a scraper presents to /metrics (Bearer or Basic password) instead of the admin login, so Prometheus needn't hold an account that can change settings; only consulted when Require login is on |
-quick-setup |
prompt |
headless first-run: skip starts monitoring immediately and never shows the browser Quick Setup dialog; prompt leaves it for a first visit |
Out-of-range numeric flags are rejected at startup (and at pingularity install) rather than silently adjusted.
Headless installs: a genuinely fresh install waits (monitoring paused) for a first-run consent - either the browser Quick Setup dialog or an explicit flag - so it never starts probing before someone has said to. Passing any monitoring flag (
-speedtest,-speedtest-interval,-latency,-interval) counts as that consent; if you only tune other knobs (say-timeoutor-ipv6) pass-quick-setup=skipso the service starts monitoring at boot instead of holding for the dialog.
Grafana users: there is an official importable dashboard (latency heatmap, speed/bufferbloat history, outage annotations, a multi-instance fleet view) and a ready-made alert-rules file - see docs.pingularity.dev/grafana.
A Prometheus endpoint is exposed at GET /metrics if you already run a
Prometheus/Grafana stack and want to scrape Pingularity - but nothing external is
required; the built-in dashboard is fully standalone. /metrics is a passive
pull endpoint - Pingularity never pushes metrics or any telemetry anywhere;
the data only leaves the box if you scrape it.
GET /metrics exposes (every gauge has a # HELP line in the output, so it's
self-describing):
pingularity_build_info{version,goversion}- constant 1, build version and Go toolchain in the labelspingularity_runtime_seconds- process uptimepingularity_up- overall connectivity (1/0)pingularity_latency_seconds- headline latency: lowest across the anchors that answered (your base internet latency); absent when nothing answeredpingularity_monitoring_paused- 1 while stopped via the power button (stored gauges freeze and the live per-family/DNS series go absent while paused)pingularity_probing_active- 1 while probe rounds are actually running: the "can I trust the data" signal. It goes 0 for every way rounds can stop - the power button, the latency toggle, a closed schedule window, or all address families switched off - whilepingularity_upand_state_since_timestamp_secondshold their last valuespingularity_state_since_timestamp_seconds- when the current up/down state beganpingularity_current_outage_seconds- length of the outage in progress; absent while online, and absent while probing is paused (paused time is excluded from the outage the monitor finally records, so the live value would otherwise run ahead of history). Use_state_since_timestamp_secondsto see when the outage beganpingularity_family_up{family}/pingularity_family_latency_seconds{family}/pingularity_family_state_since_timestamp_seconds{family}- per-address-family connectivity, latency (only while that family is up), and when that family's current state began - so "how long has IPv6 alone been down" is answerable. All three go absent (not frozen) while probing isn't runningpingularity_target_latency_seconds{target}/pingularity_target_up{target}- per anchor; the latency line appears only for a successful probe (a down target has no reading, not a misleading 0)pingularity_target_last_probe_timestamp_seconds{target}/pingularity_probe_last_round_timestamp_seconds- per-target and overall probe freshness.target_updeliberately holds its last value while paused, so a timestamp that stops advancing is how you tell a frozen reading from a live onepingularity_probe_latency_seconds/pingularity_dns_latency_seconds- histograms (_bucket{le}+_sum+_count) of anchor RTT and DNS resolve-time, sohistogram_quantile()gives real p95/p99 and catches spikes that fall between scrapes - which the last-value latency gauges losepingularity_dns_up/pingularity_dns_resolve_seconds- the DNS-resolution probe (the chart's second line): whether a cache-busted lookup succeeded and how long it took, via the host's own resolver. Present only while the probe is actually running and has produced a result (in short: whilepingularity_probing_activeis 1, the DNS toggle is on, and the first lookup has answered) - a probe that isn't running, or hasn't resolved yet, reads as absent, not a fake 0pingularity_uptime_ratio{window}- up-fraction over6h,24h,7d,30d,1y, andall. This is observed downtime / observed time: paused, scheduled-off, families-off, and process-down wall time is excluded from the denominator (it's neither up nor down), so it can't inflate uptime. Two small gaps are deliberately not booked, and so stay in the denominator (and are normally credited as up): a restart that took 2 minutes or less, and a suspend/freeze shorter than one probe interval plus 10 minutes - below that, a gap can't be told apart from ordinary scheduler overshoot, and the error is bounded and self-limiting where a spurious unobserved row would not be. A window that observed nothing is omitted entirely rather than published as a misleading 100%. Each window is also clamped to the outage-retention horizon, so it can't reach past where the downtime events behind it were pruned.pingularity_uptime_coverage_ratio{window}- the fraction of each window that was actually observed (0..1). A low value means the window was mostly paused/unobserved and itsuptime_ratiois thin evidence;0means the ratio is absent.pingularity_uptime_since_timestamp_seconds- the earliest time the uptime figures can vouch for (later of first observation and the retention horizon); theallwindow reaches back only to herepingularity_speed_last_run_timestamp_seconds- freshness anchor for the speed gauges;pingularity_speed_info{engine}names the backend (ookla / iperf3)pingularity_speed_next_run_timestamp_seconds- when the next scheduled speedtest is due (absent when scheduled tests are off); pairs with the last-run timestamp to catch a wedged scheduler before the next run would even landpingularity_speed_download_mbps/_upload_mbps/_ping_ms/_jitter_ms/_packet_loss_percent- the last run (loss only when measured). These use the dashboard's human units (ms, Mbit/s, %) so the numbers match the UI and speedtest sites. For Prometheus base-unit conventions, the same values are also emitted aspingularity_speed_download_bytes_per_second/_upload_bytes_per_second/pingularity_speed_ping_seconds/pingularity_speed_packet_loss_ratio(0..1) - use whichever your dashboards expect, but don't mix the two unit systems in one expressionpingularity_speed_ping_best_ms- the fastest of the ping samples_ping_msaverages. The engine reports a mean over ten samples, so one stalled handshake moves it several-fold; this is the floor beneath it. Alert on this one to mean "the link really is far", and watch the gap between the two to spot a lossy path. Absent on iperf3 runs, which report no per-sample valuespingularity_speed_healthy- 1/0, did the last run pass your configured thresholds (lets alerting reuse the in-app verdict instead of re-encoding it); absent when no thresholds are configured or when the run couldn't measure something a threshold covers. A check that never ran is not a check that passed, so those runs get no verdict rather than a green one - alert onabsent()if a silently unjudged run matters to youpingularity_speed_idle_latency_ms/pingularity_speed_loaded_latency_ms{direction}(+_p95_ms) - latency idle vs under load; loaded minus idle is bufferbloat. Present only when the engine measured thempingularity_speed_data_used_bytes(total within retention),pingularity_speed_data_used_window_bytes{window}(per6h/24h/7d/30d/1ywindow - the total is non-monotonic under pruning, so metered-link budgets should use these),pingularity_speed_last_run_bytes{direction}(what the last run itself consumed), andpingularity_speed_avg_run_bytes{direction}. Treat all of these as a measured lower bound on wire usage, not a bill: they count the payload the engine reports moving, so they exclude warm-up traffic, the UDP loss/jitter probe, runs that failed or were abandoned partway, TCP/TLS/IP overhead, and retransmits. On a metered link, budget with headroom above these numbers rather than against thempingularity_process_start_time_seconds- process start (the Prometheus-conventional form;pingularity_runtime_secondskept for compatibility)pingularity_goroutines/pingularity_memory_heap_bytes/_memory_sys_bytes/pingularity_gc_cycles_total/pingularity_gomaxprocs/pingularity_open_fds(Unix) - process self-health: leak and GC trends, and an FD-leak early warningpingularity_db_bytes- on-disk database size incl. WAL/SHM (watch your retention)pingularity_disk_free_bytes- free space on the filesystem holding the database, where the platform supports it - an early disk-full warning long before writes start failingpingularity_worker_up{worker}/pingularity_worker_restarts_total{worker}- per background worker (scheduler,pruner,netinfo,update-check,heartbeat,digest, andsettings-retrywhen a failed settings load armed it):upis 1 while its loop runs and 0 once it dies - gives up after repeated panics, or the process shuts down. A one-shot worker that COMPLETES its job (settings-retry succeeding) removes its series instead of reporting 0, soworker_up == 0alerts match only real deaths;restarts_totalclimbing means it's thrashingpingularity_stat{stat="monitor.pending_events"}(a gauge) /pingularity_stat_total{stat="monitor.event_dropped"}- the outage-persistence retry queue's depth (0 = healthy) and a counter of transitions dropped for good when the DB stayed unwritable past the buffer cap (each drop leaves a gap in uptime history).pending_eventsis a depth, not a counter, so it is not seeded at startup: the series appears the first time an event has to be queuedpingularity_metrics_data_valid- 1 only when every store read on this scrape succeeded; 0 when any failed (so a DB outage that would otherwise be a silent200with missing/stale series is directly alertable). Paired withpingularity_metrics_collector_success{collector}/_errors_total{collector}/_duration_seconds{collector}/_last_success_timestamp_seconds{collector}for thetargets/aggregates/speed/uptime_floorreads (aggregatestracks the LAST refresh attempt, so a store that fails after the cache once warmed still reads 0)- Well-named families (Prometheus-conventional, one quantity + labels each,
emitted alongside the generic
stat_totalbelow):pingularity_probe_rounds_total,pingularity_probe_failures_total{reason},pingularity_dns_attempts_total,pingularity_dns_failures_total{reason},pingularity_outages_total,pingularity_outage_duration_seconds_total,pingularity_speed_runs_total{trigger},pingularity_speed_failures_total{stage},pingularity_notification_deliveries_total{destination}/_failures_total{destination}/_blocked_total{destination},pingularity_database_errors_total{reason},pingularity_database_prunes_total,pingularity_database_prune_duration_seconds_total,pingularity_speed_run_duration_seconds(a_sum/_countsummary),pingularity_probe_blips_total,pingularity_login_failures_total,pingularity_rate_limit_trips_total pingularity_stat_total{stat}/pingularity_stat{stat}- the internal operational registry, keyed by astatlabel. These are two families: the counterspingularity_stat_total{stat}(monotonic totals + float sums; query withrate()/increase()) and the gaugespingularity_stat{stat}(point-in-time values: high-water marks likemonitor.blip_streak_max, the probe/DNS freshness timestamps, and the per-workerworker.<name>.upflags - so the family is present on every install from boot). Together they cover probe rounds (monitor.rounds- the liveness denominator - andmonitor.bad_rounds), the probe-failure taxonomy (probe.fail.<class>- timeout/refused/dns/…), the DNS-resolve failure taxonomy (dns.fail.<class>), family flaps, IPv4-only vs IPv6-only downtime (monitor.v4_only_down_s/monitor.v6_only_down_s), brownouts (monitor.degraded_episodes), pause accounting (monitor.pauses/monitor.paused_s- why gauges froze), speedtest runs by trigger (speed.run.<trigger>) and failures by stage (speed.fail.<stage>- server_fetch/ping/download/…), exit-discovery traces and geo lookups (netinfo.trace_ok/netinfo.trace_fail/netinfo.ipmap_*), webhook delivery (.ok/.fail/.blockedper destination), DB health (db.*), import/restore repairs (import.*- rows a restore refused rather than silently dropped), the /metrics self-disclosures (web.metrics_targets_capped,web.metrics_label_collisions- the operator's sign that the target-series view was truncated or a normalized label collided), notification-queue loss (notify.outage_dropped), and security signals (web.login_fail,web.stepup_fail,web.limiter_trips). Always-on and monotonic. Product-usage counters (which settings change, dashboard loads) are not recorded at all - those emitters were removed; thepromStatallowlist stays only as a guard so a future product counter can't leak onto/metrics.
Two unauthenticated liveness/readiness probes for a load balancer or orchestrator (they expose no data, just a verdict, and bypass the DNS-rebinding guard, the local-only filter, and auth so a bare-IP health check from an LB reaches them):
GET /healthz- liveness:200 okwhile the process serves. No dependency checks, so a transient DB hiccup can't trigger a restart loop.GET /readyz- readiness:200 readyonce the store answers and the first status aggregate is warm;503otherwise, so an LB holds traffic until the daemon is warm.
pingularity healthz [-addr host:port] probes /healthz from the command
line and reports by exit code (0 = answered 200; anything else prints a
one-line reason). It exists for environments with no curl - it is what the
container images' baked-in HEALTHCHECK runs (see Docker).
Step zero for a remote Prometheus: flip Network access on first - it
starts off on every fresh install, containers included since 0.62, and until
then every scrape from another machine gets 403. Use the Access tab, or
start with -access network / -e PINGULARITY_ACCESS=network. (A Prometheus
on the same host scraping 127.0.0.1:9000 needs nothing; neither does a
pre-0.62 container install carried across the upgrade, which keeps its
network access - see Docker.)
A minimal job (scrape by IP so the DNS-rebinding guard doesn't get in the way - see the gotchas below):
scrape_configs:
- job_name: pingularity
scrape_interval: 30s
static_configs:
- targets: ["192.168.1.10:9000"] # the host running PingularityThree access controls can turn a scrape into a 401/403:
-
Network access still off? (the default on every fresh install) - remote scrapes get
403. Enable it in the Access tab, or run the scraper on the same host. -
Login enabled?
/metricsthen sits behind auth, and scrapes get401. Either add the admin credentials as HTTP Basic, or (better) start Pingularity with-metrics-token=<token>and give the scraper a read-only token that can't change settings:# admin credentials … basic_auth: username: admin password: your-password # … or a read-only token (with -metrics-token): authorization: credentials: your-metrics-token
-
Scraping by a public hostname? The always-on DNS-rebinding guard rejects a
Hostheader that's a public domain with403. IP targets and*.local/*.lan/etc. pass automatically; for a real domain, start Pingularity with-allow-host=pinger.example.com.
Starter queries and alerts against the operational series:
# Link down right now (alert if true for 2m)
min_over_time(pingularity_up[2m]) == 0
# Outage count / downtime seconds over a day - robust even when an outage is
# shorter than the scrape interval (counts confirmed transitions, not samples)
increase(pingularity_outages_total[24h])
increase(pingularity_outage_duration_seconds_total[24h])
# The probe loop itself stopped (wedged/crashed prober, NOT a quiet link):
# no completed rounds for 5m while probing should be running.
rate(pingularity_probe_rounds_total[5m]) == 0 and pingularity_probing_active == 1
# 30-day uptime under 99.9% - but only trust it where the window was actually
# observed (coverage guards against a mostly-paused window reading falsely high)
pingularity_uptime_ratio{window="30d"} < 0.999
and pingularity_uptime_coverage_ratio{window="30d"} > 0.95
# p95 anchor latency over 5m (from the histogram)
histogram_quantile(0.95, rate(pingularity_probe_latency_seconds_bucket[5m]))
# A background worker died, or the scrape returned incomplete data (DB failing).
# A worker that FINISHED its job (the one-shot settings-retry succeeding) removes
# its series instead of reporting 0, so this matches only real deaths.
pingularity_worker_up == 0
pingularity_metrics_data_valid == 0
# Speedtests have stopped landing (wedged scheduler / always failing)
time() - pingularity_speed_last_run_timestamp_seconds > 7200 # 2x the default 1h interval; raise if yours is longer
# The next scheduled speedtest is overdue (only present when scheduled tests are on)
time() > pingularity_speed_next_run_timestamp_seconds + 600
# Download below 100 Mbit/s on the last speedtest
pingularity_speed_download_mbps < 100
# DNS resolution failing while the link itself is up (name resolution broke)
pingularity_dns_up == 0 and pingularity_up == 1
# Last speedtest failed its configured thresholds, or a long current outage
pingularity_speed_healthy == 0
pingularity_current_outage_seconds > 300
# Speedtests failing by stage, per hour (server_fetch / ping / download / …)
sum(rate(pingularity_speed_failures_total[1h])) * 3600
# Webhook deliveries failing or SSRF-blocked - series exist at 0 from startup,
# so the first event is a visible 0->1 step for rate()/increase()
rate(pingularity_notification_failures_total[15m]) > 0
rate(pingularity_notification_blocked_total[15m]) > 0
# Average speedtest duration over 6h (the _sum/_n summary pair)
rate(pingularity_stat_total{stat="speed.duration_s_sum"}[6h])
/ rate(pingularity_stat_total{stat="speed.duration_n"}[6h])
Responses are gzip-encoded when the client sends Accept-Encoding: gzip and the
body is at least 1 KiB (smaller ones are sent as-is - gzip's framing can make a
short body bigger, and it already fits in one packet). Every such response
carries Vary: Accept-Encoding. The two streaming downloads, /api/export and
/api/speed/runs.csv, are always sent uncompressed so they keep streaming at
constant memory.
GET /api/status- current status, uptime, per-family state, targets, latest speed, and live speedtest progress. Every uptime figure ships with its observation coverage (uptime_coverageper window,uptime_custom_coveragefor?upMins=); a coverage of0means the window observed nothing and has no uptime to report, exactly aspingularity_uptime_ratiois then absent. A running speedtest is reported asspeedtest_runningplusspeedtest_run_id(0when idle) - that id is what/api/speedtest/aborttakes, so a stop can name the run it was decided against. A fresh install awaiting first-run consent reportsquick_setup_pending, andaccess_local_onlymirrors the loopback-only access filter (so a client can default the Quick Setup access choice to how the install booted);bridged_containeris present only in a bridged container, where measurements describe the container network rather than the host'sGET /api/series?mins=…[&exclude=…]- latency / online time series (server-side bucketed);excludedrops targets from the lowest-latency line. Also takes an absolute window as?from=&to=(unix seconds, half-open[from, to); omittofor an open end), which wins overmins. The bucket width follows the part of the window that can hold data -[from, min(to, now))- so an omitted or futuretobuckets as if the window ended now rather than coarsening the lotGET /api/events?limit=&offset=- paginated up/down transition (outage) logPOST /api/outages/delete-{ts}delete one resolved outage (ts= the unix seconds of its closing up event); removes it from the log, heatmap, and uptime stats. IdempotentGET /api/speed?mins=…- speedtest history for the chart, capped at about 1500 points. A window holding fewer runs than that is returned in full; a larger one is thinned by taking an even stride through the runs by position (not by time), always keeping the newest. Every point is a real recorded row, never a derived value - unlike/api/series, which buckets by time and reduces each bucket to one number (the lowest latency measured in it, and the mean DNS time). The stride is positional, so widening a window past 1500 runs re-picks from scratch: the newest run is always kept, but the other points are generally different runs rather than a superset of the narrower window's. The body stays a bare array; the disclosure is in the headers -X-Total-Count(runs in the window),X-Returned-CountandX-Sampled(truewhen thinned), so a client can tell a thinned answer from a complete one. For every run, use/api/speed/runs(paginated) or/api/speed/runs.csv- both cover the whole history rather than a window, so a caller that wants one window filters ontsitself. Also takes an absolute window as?from=&to=(unix seconds, half-open[from, to); omittofor an open end), which wins overminswhen presentGET /api/speed/runs?limit=&offset=- paginated run history (full detail). Runs that recorded them carryip_family(4/6, the family the transfer actually used) andudp_direction(down/up, which way the loss/jitter probe sampled); on runs that didn't - Ookla, and rows predating the fields - the keys are omitted rather than sent emptyGET /api/speed/runs.csv- all runs as CSV. The same two fields are the final columns,ip_familyandudp_direction, appended at the end so consumers indexing existing columns by position keep working; blank = unrecordedPOST /api/speed/runs/delete-{ts}delete one speedtest runGET /api/speed/runs/servers?ts=- the server-selection report for one best-of run (ts= the run's unix seconds): every candidate that was ranked, raced, measured, or failed - each with its own numbers, the capacity the round believed, any direction it refused to believe, and the rule that made the winner winGET /api/speed/usage- cumulative data used per windowPOST /api/speedtest/servers?city=- list Ookla servers (near a city; by default centred where auto last tested, else near you; JSON content-type like the other network-side-effect endpoints)POST /api/iperf/check?addr=- check that an iperf3 server is reachable (POST with anapplication/jsoncontent-type, like the other network-side-effect endpoints)GET /api/heatmap?days=366- per-day downtime, pluswindow_s/observed_sper day (how much of it was in range and how much was actually monitored)GET /api/netinfo- connection info (IP/ISP/DNS);POSTforces a full refreshGET|POST /api/settings- read / update live settingsGET|POST /api/access- read / update access controls (local-only, auth, password); once auth is active, any change must carrycurrent_passwordPOST /api/auth/login/POST /api/auth/logout- session login / logoutPOST /api/speedtest- run a speedtest nowPOST /api/speedtest/abort[?run=…]- stop a speedtest in flight. A bare POST stops whatever is running when it arrives;run=(thespeedtest_run_idfrom/api/status) stops only that run, and is recommended for any client that might be delayed - a stop decided seconds ago would otherwise kill a run that started in between.204= stopped,409= nothing matching to stop (idle, or that run already ended),400=runwas not a run id. A best-of-N run that has already measured a server keeps that result; an abort before the first result stores nothingGET|POST /api/monitoring- read / set{enabled}master start/stop (the power toggle)POST /api/quick-setup- apply the first-run Quick Setup answer in ONE transaction (speedtest cadence, network access, update check, and an optional login) and mark it answered so the dialog never returns;{dismiss:true}marks it answered without changing anything else (once a login is active, dismissing requires that login too).auth_enabledmust agree with whether apasswordis sent, and it refuses (403) once a login is already configured - change access under Settings then. Fresh installs only; the offer isquick_setup_pendingin/api/statusGET|POST /api/update- update-check status / toggle the daily release pollGET|POST /api/logs- the About-tab log viewer: read recent lines (or?download=1for a text file, still the complete buffer) / set log level, PII redaction, or clear the buffer. A bare read returns the newest 500 lines;?limit=asks for a different window (capped at 1000,?limit=0for the whole buffer). Responses carrylimit(the cap applied) andbuffered(lines held), so a short answer can be told from a complete one, plusepoch,first_seq,next_seqanddropped, so a poller can pass?since=<next_seq>&epoch=<epoch>and be sent only what has arrived since -sinceis ignored unlessepochmatches, because a restart reseeds the buffer and re-uses the same sequence numbers for different linesPOST /api/data/delete-{type: latency|speed|downtime}clear that dataGET /api/export?…/POST /api/import- export / import config + history (JSON; export streams a single consistent snapshot with a small manifest; import streams in bounded batches and is not atomic - a mid-file error leaves earlier categories applied and returns{partial:true, committed:{…}}. Import puts no cap on the total request (a default install's own export outgrows any fixed one) and bounds the pieces instead: 8 MiB per record, 256 MiB per JSON element (413), 8 MiB per batch held in memory. In a file from Pingularity's own exporter, config is applied last, so a data failure can't half-change your settings; a hand-built or third-party file is applied in its key order, so putconfiglast yourself)POST /api/notify/test-{url}send a test alert to a webhook
All endpoints are unauthenticated by default; what protects a fresh install - native or container, since 0.62 - is the Network access filter starting off (localhost only). Once you open network access for other devices or Prometheus, every device on the LAN can use every endpoint - the Access tab's login (cookie for browsers, HTTP Basic for API/Prometheus) is the fix if that LAN isn't fully trusted. Either way, the dashboard speaks plain HTTP: for exposure over untrusted networks, still front it with a TLS reverse proxy. The webhook test posts to a URL you supply, so treat access to the dashboard as access to that capability.
DNS-rebinding protection is always on: requests whose
Hostheader is a public domain are refused (403), which stops malicious web pages from using a local browser as a proxy into the API. IP addresses,localhost, dotless LAN names (plex:9000), and.local/.lan/.home/.internal/.home.arpaall work without configuration. Serving the dashboard behind a reverse proxy on a real domain? Set-allow-host=ping.example.com(comma-separate several) and have the proxy preserve theHostheader - it must reach Pingularity as the public domain so the rebinding guard can vet it and the session cookie is markedSecure. Add-trusted-proxywith the proxy's address so the login rate limiter keys on the real client instead of the proxy.Secrets at rest: the database stores the login password hash and webhook/heartbeat URLs - so Pingularity creates its data directory
0700and the database file0600(owner-only). Keep it that way if you relocate the DB with-db.Legacy Docker volumes: the database file is always owner-only, but a named volume created by an older image may have a group/world-readable directory root (Docker's volume copy-up loosens it). A volume first created by a 0.62+ image is recognized as the daemon's own - its path, its owner, and a marker file the image plants - and re-tightened to
0700at boot automatically. One created by an older image carries no marker, and Pingularity won't silently re-lock a directory it can't prove is its own - so it logs a one-line notice on start instead. The data is already private; to clear the notice, tighten the directory once from any container that can reach the volume (the default image has no shell todocker execinto):docker run --rm -v pingularity-data:/data debian:13-slim chmod 700 /data.The full picture - what the trust boundary is, what privilege each install channel runs with, what the defaults protect and how to deploy it safely - is in docs/security-model.md. To report a vulnerability, see SECURITY.md.
Connectivity is a debounced state machine. Every round, the prober dials all
anchors concurrently; each address family is "up" on a strict majority of its
targets, and overall is up when either family is. A confirmed flip needs
down-after / up-after consecutive rounds, which is what suppresses flapping.
stateDiagram-v2
[*] --> Online: starts optimistic
Online --> Online: round ok, or < down-after failures
Online --> Offline: down-after consecutive failed rounds<br/>→ write 'down' event + alert
Offline --> Offline: round bad, or < up-after successes
Offline --> Online: up-after consecutive ok rounds<br/>→ write 'up' (with duration) + speedtest + alert
Each round fans out into the raw series and the derived records. Outage events - not per-probe success - drive uptime and the heatmap, so those views all agree.
flowchart LR
round["probe round"] --> quorum{"per-family<br/>quorum"}
quorum --> samples[("samples")]
quorum --> fsm["debounce FSM"]
fsm -->|confirmed flip| events[("events")]
samples --> chart["latency chart"]
events --> uptime["uptime % (24h / 7d)"]
events --> heatmap["downtime heatmap"]
events --> log["recent outages"]
The store is seven independent time-series tables (plus a key/value settings
table), tuned for a constant writer with WAL + synchronous=NORMAL.
erDiagram
samples {
int ts
text target
real latency_ms
int success
text family
}
dns {
int ts
real latency_ms "NULL when the lookup failed"
int success
}
events {
int ts
text type "up | down"
int duration_s
}
pauses {
int ts
int duration_s "unobserved span: paused, scheduled-off, or process-down"
}
pauses_quarantine {
int ts "pause rows held aside by clock repair, returned if the clock corrects"
int duration_s
}
speed {
int ts
real down_mbps
real up_mbps
real ping_ms
real jitter_ms
real packet_loss
int healthy
text server
}
speed_servers {
int run_ts "joins speed.ts: each run's server-selection report"
text server_id
real rank_ping_ms
real score
int winner
text win_reason
}
settings {
text key
text value
}
Exit-node discovery traces toward 1.1.1.1, attributes each hop to an ASN,
and finds the ISP boundary - then geolocates the two boundary hops. The trace is
IPv4-only: on an IPv6-only host the Exit row shows as unavailable, and an
exit-path target that doesn't resolve to an IPv4 address falls back to tracing
the default 1.1.1.1 path (flagged in the UI).
flowchart TB
refresh["netinfo refresh"] --> trace["ICMP traceroute → 1.1.1.1<br/>(native per OS: raw/ping socket on Linux,<br/>ICMP socket on macOS, IcmpSendEcho on Windows)"]
trace --> asn["per-hop ASN<br/>(Team Cymru DNS)"]
asn --> boundary{"walk to the AS boundary"}
boundary --> exit["exit router<br/>(last hop in the ISP)"]
boundary --> handoff["handoff<br/>(first hop beyond)"]
exit --> geo["geolocate: RIPE IPmap,<br/>then rDNS city fallback"]
handoff --> geo
refresh --> colo["Cloudflare PoP<br/>(/cdn-cgi/trace)"]
geo --> panel["Connection panel · Exit"]
colo --> panel
Every request passes the access guard before any handler runs: the
DNS-rebinding Host check first, then the loopback filter (judged on the real
TCP peer, never the spoofable X-Forwarded-For), then authentication - so a
403 on a public hostname is the rebinding guard talking, not the filter.
flowchart TB
req["request"] --> rb{"Host header a<br/>public domain<br/>not in -allow-host?"}
rb -->|yes| d403h["403 (rebinding guard)"]
rb -->|no| lo{"network access off<br/>AND peer not loopback?"}
lo -->|yes| d403["403"]
lo -->|no| au{"login required<br/>AND path gated<br/>AND not authenticated?"}
au -->|no| handler["handler runs"]
au -->|yes| d401["401 (+ log failed attempt)"]
handler --> resp["response"]
- Quorum + debounce. Each round dials several independent anycast anchors and
applies a majority rule, and a confirmed up/down flip needs
down-after/up-afterconsecutive rounds - so one flapping anchor or a single dropped packet can't manufacture a false outage. - Address families are independent. IPv4 and IPv6 are each their own quorum; overall status is online when either is up, so an IPv6-only outage is recorded and shown without falsely reporting the whole link down. (IPv6 is skipped entirely on hosts without working IPv6.)
- Uptime is real downtime, not a probe success rate. The 24h/7d figures are derived from the debounced outage events (so they match the heatmap and outage log), clamped to the period actually observed - not the fraction of individual probes that succeeded, which would dip whenever a single family flapped.
- Self-contained on purpose. Pure-Go SQLite (no cgo) plus an embedded UI, web font, and favicon mean a single static binary with no runtime, no CDN, and no external database - install and run.
- SQLite is tuned for a 24/7 writer. WAL +
synchronous=NORMALkeep the constant probe-write load cheap, a small connection pool lets dashboard reads proceed without blocking the writer, and the expensive uptime aggregation is cached briefly so the 3-second status poll stays light.



