# Agent heartbeat and unavailability alerting Every Linux/Windows agent (`/agent`) sends a small, independent "still alive" record on its own schedule, in addition to whatever real log traffic is flowing. This is what "define polling resolution in seconds, minutes, hours" means in practice: how often an agent proves it's still reachable, and how quickly the platform notices when it stops. ## Design: why this is a heartbeat, not a true pull The agent's transport has always been push-only, by design — it dials *out* to `ingest` over mTLS; nothing in the platform ever dials into an agent (see `agent/cairnobs-agent/src/grpc.rs`'s doc comment). Making liveness detection a true pull (the platform reaching into every remote host on a schedule) would mean every agent needs a reachable address and an open inbound port — a real problem for hosts behind NAT or with dynamic IPs, which is the common case for a "remote" fleet, and exactly the class of problem push was chosen to avoid. A heartbeat gets the same outcome — the platform notices an agent going quiet, on a configurable cadence — without any of that: the agent keeps its one existing egress path, and "unavailable" is just the *absence* of its heartbeat records, which the alerting engine (Phase 3) already detects natively via `condition_type: "absence"`. No new RPC, no new ingest code, no new ClickHouse schema, no new alert rule type — see `/docs/phase-3-alerting-design.md` for the existing absence-condition model this reuses unchanged. ## Configuring the heartbeat `agent/cairnobs-agent/config/agent.example.toml`: ```toml [heartbeat] enabled = true interval = "60s" # or "5m", "1h" -- same s/m/h vocabulary as earliest=/latest= ``` The heartbeat record is sent through the exact same `PushBatch` RPC and mTLS identity every log line uses, bypassing the batch buffer (`[batch]` `max_size`/`flush_interval_ms`) so it's punctual rather than subject to batching delay. It's distinguished from real log data purely by an attribute — `cairnobs.heartbeat=true` — not by a fake `service` value, so it never pollutes service-based dashboards or faceting. `message` is the literal string `"agent heartbeat"`. ## Building the alert rule There's no dedicated "agent monitor" rule type — you create an ordinary absence alert rule, scoped to one host, with a query window a little wider than the heartbeat interval (so an evaluation landing just after a heartbeat doesn't look like a false absence): ```sh curl -X POST http://localhost:8081/rules -H 'Content-Type: application/json' -d '{ "name": "web-01 unavailable", "description": "fires when web-01 misses its heartbeat window", "query": "earliest=-3m host=web-01 cairnobs.heartbeat=true", "query_language": "spl", "condition_type": "absence", "eval_interval_seconds": 60, "for_minutes": 0, "notification_target_id": "", "enabled": true }' ``` - **`query`**: `earliest=-Ns/m/h` should comfortably exceed the agent's configured `[heartbeat] interval` — 2-3x it is a reasonable default, the same margin any liveness check needs against jitter. `host=` scopes the rule to one specific agent — the evaluator's absence check only asks "did any row come back," so a query spanning multiple hosts would only fire when *every* host in it goes quiet at once, not when one specific host does (this is the same "no per-group/multi-row alerting" limitation `/docs/phase-3-alerting- design.md` already documents for threshold rules — one rule per resource, not a fleet-wide wildcard, is real future work, not an oversight here). - **`eval_interval_seconds`**: the alerting-side "polling resolution" — how often this specific rule is re-checked. Already second-granular (any multiple of 30, the engine's documented floor — see below); a value in minutes or hours is just a larger number of seconds, no separate unit field needed. - **`for_minutes`**: `0` fires on the very first absent evaluation, no debounce. A real fleet might prefer `1` or `2` to ride out a single missed evaluation before paging anyone — the same tradeoff any other absence rule makes. **`eval_interval_seconds` has a real floor of 30**, enforced by `alerting`'s rule-creation validation (`eval_interval_seconds must be at least 30`) — a rule can't be checked more often than every 30 seconds regardless of how fast the agent's own heartbeat is. An agent heartbeat interval faster than that (this doc's own live verification used 5s) is still useful — it tightens how quickly *evidence* of an outage accumulates in the query window — but the alert itself can't fire on a tighter cadence than 30s. ## Fleet-wide alerting without one rule per host (punch-list item 2) The absence-rule pattern above is genuinely one rule per agent — a real, disclosed limitation, not an oversight (see the `query` bullet above: the evaluator's absence check only asks "did any row come back," so it can't distinguish "one specific host went quiet" from "everything did" once a query spans more than one host). Building true per-host alerting from one fleet-wide *rule* would mean the alerting engine firing and tracking state separately per matching row/group — the same "no per-group/multi-row alerting" capability `/docs/phase-3-alerting- design.md` already named as a non-goal for the *entire* engine, not something specific to agents. That's a real evaluator/`alert_state` rearchitecture (state today is one row per *rule*, not per rule-and- group), out of scope for an agent-management punch-list item. What's genuinely achievable without touching the alerting engine at all: an **aggregate** fleet-health rule using the raw-SQL escape hatch (already fully supported for alert rules — `rulestore.Rule. QueryLanguage`/`validateRule` never restricted it to the pipe syntax, this was simply never exercised in this specific way before) and a `count(DISTINCT host)` against a **known expected fleet size**: ```sh # Note the outer JSON uses double quotes for the shell, so the SQL's # own single-quoted string literals inside it don't need escaping. curl -X POST http://localhost:8081/rules -H "Content-Type: application/json" -d "{ \"name\": \"fleet degraded\", \"description\": \"fires when fewer than 3 of the expected fleet hosts have heartbeated recently\", \"query\": \"SELECT count(DISTINCT host) AS active_agents FROM logs WHERE timestamp > now() - INTERVAL 3 MINUTE AND attributes['cairnobs.heartbeat'] = 'true' AND host LIKE 'web-%'\", \"query_language\": \"sql\", \"condition_type\": \"threshold\", \"comparator\": \"lt\", \"threshold_value\": 3, \"eval_interval_seconds\": 30, \"for_minutes\": 0, \"notification_target_id\": \"\", \"enabled\": true }" ``` Note ClickHouse SQL uses **single quotes for string literals** (double quotes are identifier quoting there) — the opposite of the pipe syntax's `field="value"` convention. This tripped up the first draft of this exact query during live verification: quoting `'true'` and the `LIKE` pattern with double quotes silently turned them into identifier references instead of string literals, and ClickHouse rejected the query outright (`Unknown expression or function identifier`) rather than silently misbehaving — a loud, easy-to-catch failure, not a subtle one, but worth calling out since it's an easy mistake to repeat. One rule now covers an entire named group of hosts (matched by a `LIKE` pattern, a naming convention, or any other `WHERE` predicate over `host`/`service` you already use) instead of one rule per host. The real tradeoff, stated plainly rather than glossed over: `threshold_value` is a fixed expected count an operator sets and must update by hand as the fleet's size actually changes (a host decommissioned without updating the threshold reads as "one is missing" forever) — this is the same shape of tradeoff as any "alert if fewer than N of M expected instances are healthy" check in any monitoring system, not unique to this platform. It also only tells you the fleet is degraded in aggregate, not *which* host — pair it with the `/agents` inventory page (already built, per-host healthy/stale status) for that, the same way an aggregate alert triggering an investigation and a dashboard pinpointing the specific instance is how this already works in practice elsewhere. A **scripted rule-per-host generator** (reconciling `/agents` inventory into one absence rule per active host, created/removed automatically as hosts come and go) is a real alternative that keeps true per-host alerts without any engine changes, at the cost of N actual rule rows to manage. Not built here — it's tooling, and overlaps with punch-list item 3 (a CLI surface for agent management) enough that it belongs there if wanted, not duplicated as a one-off script now. ## Verified live This exact flow was run end-to-end against a live stack in this repo: a real `cairnobs-agent` binary, heartbeat interval 5s, connected to a real `ingest`; an absence rule (`earliest=-45s host=... cairnobs.heartbeat=true`, `eval_interval_seconds=30`, `for_minutes=0`) created via the REST API above; the agent process killed; the rule transitioned `ok` → `firing` within one evaluation cycle (`condition_true_since`/`fired_at` both set at the same timestamp the query window's silence became detectable); and a real webhook delivery landed (`delivery_log` row: `status: sent, response_status: 200`). **A real, independent bug was found and fixed during this verification**: the query language's lexer never treated `-` as part of an identifier, so any unquoted hyphenated filter value — `host=heartbeat-test-host`, or even the reference doc's own canonical example `host!=host-03` — failed to parse at all (`unexpected MINUS after query`). This wasn't specific to heartbeat monitoring; it affected any hyphenated host/service name filtered unquoted, which is extremely common. Fixed in `api/internal/querylang/lexer/lexer.go`'s `isIdentPart` (now includes `-`, but only mid-identifier — a leading `-` still lexes as its own `Minus` token, so `earliest=-1h` and `sort -count` are unaffected). Regression tests: `TestLexIdentWithInternalHyphens`, `TestLexFilterWithHyphenatedValue` (lexer), `TestParseFilterWithHyphenatedValue`, `TestParseNegativeTimeExprStillWorks` (parser).