alerting: Signal via signal-cli-rest-api, and faster failure detection

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>
This commit is contained in:
counterweight 2026-09-14 21:40:37 +02:00
parent 85040d5f67
commit 3a9e1d5851
Signed by: counterweight
GPG key ID: 883EDBAA726BD96C
20 changed files with 752 additions and 181 deletions

View file

@ -34,6 +34,23 @@
# slow apt run, a reboot - does not raise an alarm, but a check that has
# genuinely stopped does.
# ─────────────────────────────────────────────────────────────────────────────
# ─────────────────────────────────────────────────────────────────────────────
# Alerting thresholds, and why they differ by check type.
#
# `failure-threshold` counts CONSECUTIVE failures, but "consecutive" means a
# different amount of wall-clock time per check:
#
# push/heartbeat endpoints a failure is produced once per heartbeat window
# pulled endpoints a failure is produced once per interval
#
# So the default of 3 would mean 33 minutes on an 11m heartbeat and over a day
# on a 7h one - and the heartbeat window ALREADY encodes the tolerance. An 11m
# window on a 5-minute push is precisely "one missed push forgiven"; stacking a
# threshold of 3 on top triples a tolerance that was already chosen.
#
# Hence: push endpoints alert on the FIRST heartbeat failure. Pulled endpoints
# have no built-in tolerance, so the threshold is where it belongs for them.
# ─────────────────────────────────────────────────────────────────────────────
- name: Register the host checks with Gatus
hosts: observability
become: yes
@ -47,7 +64,7 @@
'name': item,
'group': 'liveness',
'token': gatus_push_tokens[item],
'heartbeat': '16m'}] }}"
'heartbeat': '11m'}] }}"
loop: "{{ monitored }}"
- name: Build the disk endpoint list
@ -56,13 +73,20 @@
'name': item,
'group': 'disk',
'token': gatus_push_tokens[item],
'heartbeat': '30h'}] }}"
'heartbeat': '7h'}] }}"
loop: "{{ monitored }}"
- name: Register liveness endpoints
ansible.builtin.include_role:
name: gatus_endpoint
vars:
gatus_endpoint_default_alerts:
- type: signal
# 1, not 3: the heartbeat window is the tolerance. See the note above.
failure-threshold: 1
success-threshold: 2
send-on-resolved: true
minimum-reminder-interval: 6h
gatus_endpoint_name: liveness
gatus_endpoint_external: "{{ liveness_endpoints }}"
@ -70,6 +94,13 @@
ansible.builtin.include_role:
name: gatus_endpoint
vars:
gatus_endpoint_default_alerts:
- type: signal
# 1, not 3: the heartbeat window is the tolerance. See the note above.
failure-threshold: 1
success-threshold: 2
send-on-resolved: true
minimum-reminder-interval: 6h
gatus_endpoint_name: disk
gatus_endpoint_external: "{{ disk_endpoints }}"
@ -77,20 +108,27 @@
ansible.builtin.include_role:
name: gatus_endpoint
vars:
gatus_endpoint_default_alerts:
- type: signal
# 1, not 3: the heartbeat window is the tolerance. See the note above.
failure-threshold: 1
success-threshold: 2
send-on-resolved: true
minimum-reminder-interval: 6h
gatus_endpoint_name: hypervisor
gatus_endpoint_external:
- name: cpu
group: hypervisor
token: "{{ gatus_push_tokens['nodito'] }}"
heartbeat: "16m"
heartbeat: "11m"
- name: zfs
group: hypervisor
token: "{{ gatus_push_tokens['nodito'] }}"
heartbeat: "30h"
heartbeat: "7h"
- name: ups
group: hypervisor
token: "{{ gatus_push_tokens['nodito'] }}"
heartbeat: "16m"
heartbeat: "11m"
- name: Deploy host liveness and disk checks
hosts: managed
@ -120,10 +158,13 @@
healthcheck_name: disk-usage
healthcheck_description: "Disk usage for {{ inventory_hostname }}"
healthcheck_check: disk-usage
# Daily. RandomizedDelaySec spreads twelve hosts across the hour rather
# than having them all report in the same second.
healthcheck_on_calendar: "*-*-* 07:00:00"
healthcheck_randomized_delay: "3600"
# Every 6h rather than daily. Disk usage itself moves slowly, but the
# heartbeat can only be as tight as the push frequency - a daily push
# forces a >24h window, and a stuck check then hides for a day and a
# half. Six-hourly buys a 7h window. RandomizedDelaySec spreads the
# hosts so twelve boxes do not all report in the same second.
healthcheck_on_calendar: "*-*-* 00/6:00:00"
healthcheck_randomized_delay: "900"
healthcheck_boot_delay: "5min"
healthcheck_push_url: "{{ gatus_api }}/disk_{{ host_key }}/external"
healthcheck_push_token: "{{ host_token }}"
@ -157,7 +198,7 @@
healthcheck_check: zfs-health
healthcheck_packages: [curl, jq]
healthcheck_zfs_pool: "{{ zfs_pool_name }}"
healthcheck_on_calendar: "*-*-* 07:20:00"
healthcheck_on_calendar: "*-*-* 00/6:20:00"
healthcheck_boot_delay: "10min"
healthcheck_push_url: "{{ gatus_api }}/hypervisor_zfs/external"
healthcheck_push_token: "{{ host_token }}"