Three changes: detection windows tightened, a Signal transport deployed, and
alerts attached to all 84 non-transport endpoints.
── Failing faster ──────────────────────────────────────────────────────────
The heartbeat is a TICKER, not a deadline: Gatus wakes every interval and asks
"did anything arrive in the last interval", so real detection is 1-2x the
window. And a window can only ever be as tight as the push frequency - which is
why two checks moved rather than just having their numbers changed.
liveness, cpu, ups, service-health, probes 16m -> 11m
disk, zfs daily/30h -> 6-hourly/7h
backup store + pull job daily/30h -> 6-hourly/7h
DNS records 24h -> 6h
backup dump 30h -> 26h
backup-dump stays slow because the dump genuinely is daily. The store-side check
catches the same fault within 6h by reading the source's dump timestamp out of
the artefact filename, so 26h is a backstop rather than the primary signal.
── Thresholds differ by check type, deliberately ───────────────────────────
`failure-threshold` counts consecutive failures, but "consecutive" is a
different amount of wall-clock time per check: a push endpoint produces one
failure per heartbeat window, a pulled one per interval. The default of 3 would
mean 33 minutes on an 11m heartbeat and over a day on a 7h one.
More importantly the heartbeat window ALREADY encodes the tolerance - an 11m
window on a 5-minute push is exactly "one missed push forgiven" - so stacking a
threshold of 3 triples a tolerance that was already chosen. Hence:
push/heartbeat endpoints failure-threshold 1
pulled, 5m (public) failure-threshold 3 (= 15 minutes)
pulled, 6h/24h (dns, domain) failure-threshold 1
── The Signal transport ────────────────────────────────────────────────────
roles/signal_api runs signal-cli-rest-api on the observability host, pinned by
digest, MODE=native.
It publishes NO PORTS. The API has no authentication of any kind - anything that
reaches it can send messages as you and read your Signal. Gatus talks to it over
a shared docker network by service name, which is also WHY the network exists:
Gatus runs in a container, so the host's loopback is unreachable from it and a
port published on 127.0.0.1 would not have worked.
MODE=native and not json-rpc because this VPS has 464MB of RAM and already runs
Gatus and Caddy. The json-rpc modes hold a resident JVM; native runs a binary
per request, and alerts are rare enough that startup cost per alert is the right
trade.
Monitored - Gatus polls /v1/health over the same network path the alerts take,
so it proves the delivery route rather than mere container liveness. Deliberately
NOT backed up: the data directory holds Signal private keys and the recovery
path is to link the device again from the phone.
Neither the signal-api endpoint nor Gatus's self-check carries a Signal alert.
If either is down, Signal is precisely what cannot deliver the alert.
── Four traps hit while linking, all now in the role README ────────────────
* /v1/qrcodelink is BROKEN in native mode - returns "no data to encode" while
the binary itself emits a perfectly good URI. Not worked around by switching
MODE, which would put a JVM in the path of every alert permanently.
* The data dir must be owned by uid 1000, not root. A root-owned 0700 dir
cannot be traversed by the container user, so linking silently never
completes and /v1/accounts returns "Failed to read local accounts list".
* `docker exec` runs as ROOT while the service runs as uid 1000, so without
--config the account is written to /root/... on the container's ephemeral
layer. It reports success and is destroyed on the next recreate.
* The phone reporting "network error" was IPv6: chat.signal.org resolves to
dualstack AAAA records first, the container has no IPv6 address, and this
host's IPv6 path is broken - the same edge that 404'd the Go tarball. Fixed
with a mounted gai.conf that prefers IPv4.
Verified: provider loads (configuredProviders=[signal]), a test message was
delivered and confirmed received, 84 endpoints carry alerts, 86 UP / 0 DOWN.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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| .. | ||
| defaults | ||
| handlers | ||
| tasks | ||
| templates | ||
| README.md | ||
backup_store
Pulls already-encrypted backup artefacts from every source host onto
small-backups-box, on a timer, and expires them per source.
Generalises the hand-written pull-backups.sh that had one hardcoded source
(arbret). That job's behaviour is preserved exactly: same source path, same
90 days, same destination directory.
This host holds no key
Everything pulled here is ciphertext produced by backup_source on the source
host. The box cannot read any of it — the age identity lives only on lapy. That
is deliberate: the machine holding every backup should not also be able to open
them.
One failing source must not stop the others
The script is set -uo pipefail, not -e. Each source runs in its own
function, failures are counted, and the script exits non-zero at the end so
systemd marks the unit failed. A dead host costs you that one source, not the
whole run.
This is the specific failure the whole plan exists to prevent: the laptop jobs aborted on first error and then silently produced empty directories for nine months.
Trust points one way
The box authenticates with ~/.ssh/id_pull to an unprivileged, dedicated
account on each source (backup-pull, or arbret on prd-arbret), authorised
with restrict. That account can read one directory and do nothing else — no
sudo, no pty, no forwarding. A compromised backup box cannot reach into
production.
Addressing: names, never IPs
Sources are addressed by name. The job this replaced hardcoded spacey's IP; the droplet was later rebuilt, the address was recycled to a stranger, and the backup failed silently from 2025-12-01 while the directory listing still looked healthy.
Two kinds of name are in play:
- Tailnet members (vipy, memos-box, …) → MagicDNS names. These require a
headscale ACL grant from
tag:small-backups-boxto the source's:22; without it the box cannot even resolve the peer, let alone reach it. - spacey is not a tailnet member — it is the headscale control server — so
its backup is pulled over the public internet via
headscale.contrapeso.xyz, which follows the host if the droplet is rebuilt.
Retention here is the long tail
Sources keep a few days locally; this box keeps 90 (or whatever the source entry says). Losing the source's local copy is expected.