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>
108 lines
6.5 KiB
YAML
108 lines
6.5 KiB
YAML
---
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# Gatus, deployed the way upstream distributes it: the container image.
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#
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# Upstream publishes NO binary release assets - the image is the only artefact
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# they ship, and therefore the only artefact they test. Building from source is
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# possible (`go build` alone is enough; the Vue dashboard is compiled in via
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# `//go:embed static`, and CGO_ENABLED=0 works because the sqlite driver is
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# pure-Go modernc.org/sqlite) but it produces a binary upstream never ran, and
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# it means a full compile of the AWS SDK and gRPC on the smallest box in the
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# estate.
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# ── Image ────────────────────────────────────────────────────────────────────
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gatus_version: "v5.36.0"
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# Pinned by DIGEST, not by tag. A tag is mutable - `v5.36.0` can be repushed -
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# so pinning the tag alone is a weaker promise than it looks. The digest is the
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# content address: if it resolves, it is byte-for-byte the image reviewed here.
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# Both must be updated together; the tag is kept only so humans can read it.
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gatus_image_digest: "sha256:c5f210d095fa78e6efaa20ffeb14803f2ba4f10615e16a6d12087697149617f0"
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gatus_image: "ghcr.io/twin/gatus@{{ gatus_image_digest }}"
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# ── Paths (host side) ────────────────────────────────────────────────────────
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gatus_dir: /opt/gatus
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gatus_config_dir: "{{ gatus_dir }}/config"
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gatus_data_dir: "{{ gatus_dir }}/data"
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# Gatus merges every *.yaml under GATUS_CONFIG_PATH and its subdirectories:
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# maps deep-merge, lists append. That is why this role ships a config DIRECTORY
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# rather than one file - each service contributes its own endpoint file, the
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# same way each service contributes a vhost through `caddy_site`.
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#
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# Primitives must be defined exactly once across all files or the merge is
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# ambiguous, so everything that is not a list lives in the base file and
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# nowhere else.
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gatus_base_config_file: "00-base.yaml"
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gatus_endpoints_dir: "{{ gatus_config_dir }}/endpoints"
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# ── Identity ─────────────────────────────────────────────────────────────────
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# The image is FROM scratch, so it has no /etc/passwd and no user to drop to by
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# name. Run it by numeric uid/gid instead, and own the data volume to match.
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gatus_uid: 10001
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gatus_gid: 10001
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# ── Web ──────────────────────────────────────────────────────────────────────
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gatus_port: 8080
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# HOST-side address the container's port is published on. Gatus itself always
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# binds 0.0.0.0 inside the container - see the note in config.yaml.j2. Never
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# publish this on 0.0.0.0: the external-endpoint push API shares the dashboard's
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# listener, and Caddy is what should be in front of both.
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gatus_bind_address: "127.0.0.1"
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gatus_ui_title: "Status"
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gatus_ui_header: "Status"
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# ── Storage ──────────────────────────────────────────────────────────────────
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# sqlite, not memory: history has to survive a restart, or the dashboard lies
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# about uptime after every deploy. Path is INSIDE the container.
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gatus_storage_type: sqlite
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gatus_storage_path: "/data/gatus.db"
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gatus_storage_caching: true
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# Per-endpoint row caps. Gatus bounds the database by COUNT, not by time, and
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# trims inline on insert (storage/store/sql/sql.go, InsertEndpointResult) - so
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# there is no retention job to write and no way for this to fill a disk.
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#
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# History depth is therefore a function of check frequency, not of days:
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# 900 results is ~3 days of a 5-minute liveness check, and ~2.5 years of a daily
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# disk check. Upstream's default is 100, which would have been 8 hours of
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# liveness - not enough to still see a weekend incident on Monday.
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#
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# Note the uptime table is separate and its 30-day retention is hard-coded
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# upstream (uptimeRetention), so uptime percentages top out at 30 days whatever
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# this is set to.
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gatus_storage_max_results: 900
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gatus_storage_max_events: 50
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# ── Alerting ─────────────────────────────────────────────────────────────────
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# Pass-through: rendered verbatim under `alerting:`, so any provider Gatus
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# supports works without touching this role. Empty means "check and record,
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# alert nowhere" - valid, and the default until a provider is chosen.
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gatus_alerting: {}
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gatus_default_alerts: []
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# ── Security ─────────────────────────────────────────────────────────────────
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# gatus_basic_auth: {username: admin, password-bcrypt-base64: "..."}
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gatus_basic_auth: {}
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gatus_maintenance: {}
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# Keep serving the previous config if a contributed endpoint file is malformed,
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# instead of panicking. See the note in config.yaml.j2.
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gatus_skip_invalid_config_update: true
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gatus_log_level: INFO
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# ── Self-check ───────────────────────────────────────────────────────────────
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# Gatus panics on a config with no endpoints, so the role always ships one.
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# Turning this off is only safe once another file in endpoints/ provides one.
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gatus_self_check: true
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# ── ICMP ─────────────────────────────────────────────────────────────────────
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# Gatus supports icmp:// endpoints. Raw ICMP needs CAP_NET_RAW, which the
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# container would get free only if it ran as root; it does not. Set false if
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# you never use icmp:// checks and want the capability dropped entirely.
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gatus_allow_icmp: true
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# ── Shared network ───────────────────────────────────────────────────────────
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# Gatus runs in a container, so the HOST's loopback is not reachable from it.
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# Anything Gatus must talk to locally - the Signal API that sends its alerts -
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# has to be on a shared docker network and addressed by service name.
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gatus_network: monitoring
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