Five checks, 27 endpoints, replacing what Uptime Kuma used to watch:
is it up every 5min, all hosts
is disk full daily, all hosts
is CPU hot every 5min, nodito
is ZFS broken daily, nodito
is UPS online every 5min, nodito
Two roles, kept separate so neither knows about the other - they meet at a URL
and a token, the same way caddy_site and each service meet at a vhost:
roles/gatus_endpoint runs on the observability host, writes ONE file into
/opt/gatus/config/endpoints/. Gatus merges every *.yaml
there and appends lists, so callers compose without
coordinating.
roles/healthcheck runs on the monitored host: a check script, a systemd
service, a timer, and an optional push. Ships a library
of check bodies under templates/checks/.
Everything PUSHES. Gatus never reaches out, which matters because nodito and its
VMs are behind NAT, and because four of the five checks are internal state with
no pollable surface at all. Liveness pushes too, deliberately: a heartbeat proves
the host is running AND can reach the internet, where an ICMP probe from one
vantage point only proves it answers pings from there. And since Gatus alerts
when a heartbeat window expires, a check that stops running raises the alarm by
itself - a dead timer looks exactly like a dead host, which is the correct
reading.
One bearer token per host, generated straight into the vault and never printed.
A token only writes results for its own host's endpoints, so a compromised host
can lie about itself, which it could do anyway.
Three things learned from the source that shaped this:
* Gatus polls its own config every 30s and reloads
(main.listenToConfigurationFileChanges), so gatus_endpoint needs no restart
handler - writing the file IS the deploy.
* ...but on a reload it panics if the new config fails to parse, unless
skip-invalid-config-update is set. Endpoint files are contributed by other
playbooks, so one malformed file would take the monitor down at the worst
possible moment. Now set.
* The push URL uses a key Gatus computes, not the name you write:
sanitize(group) + "_" + sanitize(name), lowercased with / _ . , space # + &
replaced by "-" (config/key/key.go). So knots_box_local is
knots-box-local in the URL. The playbook derives it rather than hand-writing.
storage: maximum-number-of-results 900, up from upstream's 100. Gatus bounds the
database by COUNT and trims inline on insert, so there is no retention job and
no way to fill a disk - but history depth is then a function of check frequency,
and 100 results at a 5-minute interval is 8 hours. 900 is ~3 days of liveness
and ~2.5 years of the daily disk check. The uptime table is separate and its
30-day retention is hard-coded upstream.
A bug worth recording: the first deploy shipped five scripts that all died with
"syntax error: unexpected end of file". Jinja strips an included template's
trailing newline and trim_blocks then eats the newline after {% endif %}, so the
closing brace of check() landed on the same line as the body's last statement -
`return 0}`. Every check was broken and the deploy still reported failed=0,
because the role's "run once" task has failed_when: false and reports the result
as a debug message nobody read. The blank line that fixes it is now load-bearing
and commented as such.
Verified by triggering every unit by hand rather than waiting on timers: all
checks exit 0 on all hosts, and Gatus shows 26 UP / 1 DOWN. The one DOWN is
liveness_watchtower, which is honest - that host currently refuses SSH (TCP
connects, no banner exchange) and is excluded from this deploy. It is also the
box still running Uptime Kuma.
Known waste, not yet fixed: healthcheck installs its dependencies per CHECK
rather than per HOST, so apt runs 29 times estate-wide for a curl that is
already present, and daemon_reload runs 4x per host.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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|---|---|---|
| .. | ||
| defaults | ||
| handlers | ||
| tasks | ||
| templates | ||
| README.md | ||
gatus
Deploys Gatus — health checks, a status page,
and alerting — as the upstream container image, on the
observability group.
Why the container
Upstream publishes no binary release assets. The image is the only artefact
they ship and therefore the only one they test, so it is what docker run in
their README gets you, and it is what this role deploys.
Building from source is entirely possible — their Dockerfile is a bare
CGO_ENABLED=0 go build, the Vue dashboard is compiled in via //go:embed static in web/static.go, and the sqlite driver is pure-Go
modernc.org/sqlite so nothing needs linking. This role did that at first. The
reasons it doesn't now:
- It produces a binary upstream never ran.
- It means compiling the AWS SDK, gRPC and the Google API libraries on the smallest box in the estate. On this VPS that load was heavy enough that unrelated Ansible tasks timed out while it ran.
The cost of the container is a daemon on the machine whose job is to notice when everything else breaks. That is a real trade, made deliberately.
Pinned by digest, not by tag
gatus_image_digest: "sha256:c5f210d0…"
gatus_image: "ghcr.io/twin/gatus@{{ gatus_image_digest }}"
A tag is mutable — v5.36.0 can be repushed — so pinning the tag alone is a
weaker promise than it looks. The digest is a content address: if it resolves,
it is byte-for-byte the image reviewed here, and docker compose pull either
fetches exactly that or fails. gatus_version is kept alongside it purely so a
human can read which release it is; the two must be updated together.
What FROM scratch means for running it
The image has no /etc/passwd, so there is no user to drop to by name and the
default is root. The compose file runs it by numeric id (10001:10001) and the
data directory on the host is owned to match. Everything else is locked down to
approximate what the systemd unit used to do natively:
| systemd | compose |
|---|---|
ProtectSystem=strict |
read_only: true |
NoNewPrivileges=true |
security_opt: [no-new-privileges:true] |
CapabilityBoundingSet= |
cap_drop: [ALL] |
AmbientCapabilities=CAP_NET_RAW |
cap_add: [NET_RAW] (for icmp://) |
Configuration is a directory, not a file
GATUS_CONFIG_PATH points at /opt/gatus/config, and Gatus merges every *.yaml
underneath it — maps deep-merge, lists append. This role owns exactly one file:
/opt/gatus/config/00-base.yaml web, storage, ui, alerting, security (this role)
/opt/gatus/config/endpoints/*.yaml one file per service (gatus_endpoint)
A primitive defined in two files is ambiguous and upstream refuses it. So
anything that is not a list belongs in 00-base.yaml and nowhere else. Endpoints
are lists, so each service's file appends cleanly — the same shape as
caddy_site, where each service contributes its own vhost.
Pull and push
Gatus polls. For anything with a reachable HTTP or TCP surface that is the
better check, because it tests the path a user actually takes. The monitoring
host joins the headscale mesh via infra/920, so internal boxes are reachable
by MagicDNS name and can be polled directly rather than having to report in.
For state with no pollable surface — ZFS pool health, UPS mains status, disk usage, backup freshness — Gatus has external endpoints, a push API:
POST /api/v1/endpoints/{group}_{name}/external?success=true&error=&duration=
Authorization: Bearer <token>
with heartbeat.interval to alert when nothing reports in. That is the same
shape as the generic healthcheck_push_url already wired into every service
role, so those scripts need a URL, a POST, and an auth header — not a rewrite.
Variables
See defaults/main.yml. The ones that matter:
| Variable | Default | Note |
|---|---|---|
gatus_version / gatus_image_digest |
v5.36.0 / sha256:c5f210d0… |
must move together |
gatus_bind_address |
127.0.0.1 |
never bind publicly — the push API shares this listener |
gatus_storage_type |
sqlite |
memory loses all history on restart |
gatus_alerting |
{} |
pass-through; any provider Gatus supports |
gatus_allow_icmp |
true |
adds back NET_RAW for icmp:// checks |
gatus_alerting empty is valid and is the current state: every condition is
still evaluated and recorded, there is just nowhere to shout yet.
Verifying
docker ps --filter name=gatus
docker logs gatus --tail 50
curl -s localhost:8080/health
ls /opt/gatus/config/endpoints/