| 1 | --- |
| 2 | title: "Alerting: monitors & notifiers" |
| 3 | description: Turn APL queries into alerts — Threshold, MatchEvent, and AnomalyDetection monitors wired to Slack, email, PagerDuty, and webhook notifiers, all as resources in your Stack. |
| 4 | --- |
| 5 | |
| 6 | An Axiom `Monitor` is a saved APL query that runs on a fixed cadence |
| 7 | and fires when its condition is met. A `Notifier` is the destination |
| 8 | it fires to — Slack, email, PagerDuty, a webhook. In alchemy both are |
| 9 | resources in your Stack, so a threshold change or a new on-call |
| 10 | channel is a reviewable diff, not a console edit. |
| 11 | |
| 12 | Everything below runs inside your Stack's `Effect.gen` — see |
| 13 | [Setup](/axiom/setup) for credentials and the |
| 14 | [Axiom overview](/axiom) for datasets like `app-traces` and |
| 15 | `app-logs` used in the queries. |
| 16 | |
| 17 | ## Create a notifier |
| 18 | |
| 19 | ```typescript |
| 20 | import * as Axiom from "alchemy/Axiom"; |
| 21 | |
| 22 | const slack = yield* Axiom.Notifier("ops-slack", { |
| 23 | name: "ops-channel", |
| 24 | properties: { |
| 25 | slack: { slackUrl: process.env.SLACK_WEBHOOK_URL! }, |
| 26 | }, |
| 27 | }); |
| 28 | ``` |
| 29 | |
| 30 | Exactly one channel goes under `properties` — here `slack` with an |
| 31 | incoming webhook URL. The resource's `id` output is what monitors |
| 32 | target. |
| 33 | |
| 34 | ## Threshold: alert when a value crosses a line |
| 35 | |
| 36 | ```typescript |
| 37 | yield* Axiom.Monitor("error-rate", { |
| 38 | name: "High error rate", |
| 39 | description: "Fires when error count exceeds 100/5m", |
| 40 | type: "Threshold", |
| 41 | aplQuery: ` |
| 42 | ['app-traces'] |
| 43 | | where status >= 500 |
| 44 | | summarize count() by bin_auto(_time) |
| 45 | `, |
| 46 | operator: "Above", |
| 47 | threshold: 100, |
| 48 | intervalMinutes: 5, |
| 49 | rangeMinutes: 5, |
| 50 | alertOnNoData: false, |
| 51 | resolvable: true, |
| 52 | notifierIds: [slack.id], |
| 53 | }); |
| 54 | ``` |
| 55 | |
| 56 | Every `intervalMinutes`, the monitor runs `aplQuery` over the last |
| 57 | `rangeMinutes` and compares the aggregate against `threshold` using |
| 58 | `operator` (`Above`, `AboveOrEqual`, `Below`, `BelowOrEqual`, or |
| 59 | `AboveOrBelow`). `resolvable: true` sends a resolution notice when |
| 60 | the value drops back under the line; `alertOnNoData` controls whether |
| 61 | an empty result counts as a problem. |
| 62 | |
| 63 | `notifierIds: [slack.id]` is the wiring: `slack.id` is an output |
| 64 | attribute of the notifier flowing into the monitor's inputs, so |
| 65 | alchemy deploys the notifier first and fills in the real id. |
| 66 | |
| 67 | ## MatchEvent: alert on every matching event |
| 68 | |
| 69 | ```typescript |
| 70 | yield* Axiom.Monitor("panics", { |
| 71 | name: "Service panic", |
| 72 | type: "MatchEvent", |
| 73 | aplQuery: `['app-logs'] | where message contains "panic:"`, |
| 74 | intervalMinutes: 1, |
| 75 | rangeMinutes: 1, |
| 76 | notifierIds: [slack.id], |
| 77 | }); |
| 78 | ``` |
| 79 | |
| 80 | A `MatchEvent` monitor has no threshold — it fires for every event |
| 81 | the query matches. Use it for rare, individually-actionable events |
| 82 | like panics or failed deploys, where one occurrence is already worth |
| 83 | a page. |
| 84 | |
| 85 | ## AnomalyDetection: alert on deviation from baseline |
| 86 | |
| 87 | ```typescript |
| 88 | yield* Axiom.Monitor("traffic-anomaly", { |
| 89 | name: "Traffic anomaly", |
| 90 | type: "AnomalyDetection", |
| 91 | aplQuery: `['app-traces'] | summarize count() by bin_auto(_time)`, |
| 92 | compareDays: 7, |
| 93 | tolerance: 25, // % |
| 94 | intervalMinutes: 15, |
| 95 | rangeMinutes: 15, |
| 96 | notifierIds: [slack.id], |
| 97 | }); |
| 98 | ``` |
| 99 | |
| 100 | Instead of a static threshold, the monitor learns a baseline from the |
| 101 | same window over the previous `compareDays` days and fires when the |
| 102 | current result deviates by more than `tolerance` percent. Good for |
| 103 | "traffic looks wrong" signals where the right absolute number changes |
| 104 | by hour and weekday. |
| 105 | |
| 106 | Changing a monitor's `type` triggers a replacement; every other prop |
| 107 | updates in place. |
| 108 | |
| 109 | ## Fan out to multiple notifiers |
| 110 | |
| 111 | ```typescript |
| 112 | const pagerduty = yield* Axiom.Notifier("pagerduty", { |
| 113 | name: "primary-oncall", |
| 114 | properties: { |
| 115 | pagerduty: { routingKey: process.env.PAGERDUTY_ROUTING_KEY!, token: "" }, |
| 116 | }, |
| 117 | }); |
| 118 | |
| 119 | yield* Axiom.Monitor("error-rate", { |
| 120 | // ...same props as above |
| 121 | notifierIds: [slack.id, pagerduty.id], |
| 122 | }); |
| 123 | ``` |
| 124 | |
| 125 | `notifierIds` takes any number of ids, so one monitor can post to the |
| 126 | team channel and page on-call at the same time. Notifier channels |
| 127 | cover Slack, email (`email: { emails: [...] }`), PagerDuty, Opsgenie, |
| 128 | Discord, Microsoft Teams, and generic webhooks. |
| 129 | |
| 130 | ## Custom webhook with a templated body |
| 131 | |
| 132 | ```typescript |
| 133 | yield* Axiom.Notifier("incident-webhook", { |
| 134 | name: "incident.io", |
| 135 | properties: { |
| 136 | customWebhook: { |
| 137 | url: "https://api.incident.io/v2/alert_events", |
| 138 | headers: { "Content-Type": "application/json" }, |
| 139 | secretHeaders: { Authorization: `Bearer ${process.env.INCIDENT_TOKEN}` }, |
| 140 | body: '{"title": "{{.Monitor.Name}}", "status": "firing"}', |
| 141 | }, |
| 142 | }, |
| 143 | }); |
| 144 | ``` |
| 145 | |
| 146 | For anything without a built-in channel, `customWebhook` gives you |
| 147 | full control over the request: static `headers`, `secretHeaders` for |
| 148 | credentials, and a `body` template with access to monitor fields like |
| 149 | `{{.Monitor.Name}}`. |
| 150 | |
| 151 | ## Derived alert fields with VirtualField |
| 152 | |
| 153 | ```typescript |
| 154 | yield* Axiom.VirtualField("status-class", { |
| 155 | dataset: "app-traces", |
| 156 | name: "status_class", |
| 157 | description: "HTTP response class bucket", |
| 158 | expression: 'strcat(tostring(toint(status / 100)), "xx")', |
| 159 | type: "string", |
| 160 | }); |
| 161 | ``` |
| 162 | |
| 163 | A `VirtualField` is a saved APL expression that appears as a derived |
| 164 | column on its `dataset` at query time. Define common computations — |
| 165 | status classes, latency buckets, parsed JSON paths — once, instead of |
| 166 | repeating the expression in every monitor and dashboard. A virtual |
| 167 | field is bound to one `dataset`; changing the dataset triggers a |
| 168 | replacement. |
| 169 | |
| 170 | Monitors on that dataset can then query the derived column directly: |
| 171 | |
| 172 | ```typescript |
| 173 | yield* Axiom.Monitor("5xx-rate", { |
| 174 | name: "5xx rate", |
| 175 | type: "Threshold", |
| 176 | aplQuery: ` |
| 177 | ['app-traces'] |
| 178 | | where status_class == "5xx" |
| 179 | | summarize count() by bin_auto(_time) |
| 180 | `, |
| 181 | operator: "Above", |
| 182 | threshold: 50, |
| 183 | intervalMinutes: 5, |
| 184 | rangeMinutes: 5, |
| 185 | notifierIds: [slack.id], |
| 186 | }); |
| 187 | ``` |
| 188 | |
| 189 | If the definition of "5xx" ever changes, you update the virtual |
| 190 | field's `expression` — every monitor and dashboard built on |
| 191 | `status_class` follows. |
| 192 | |
| 193 | ## Where next |
| 194 | |
| 195 | - [Ingest](/axiom/data/ingest) — datasets, ingest tokens, and wiring OTLP |
| 196 | endpoints into your Workers and Functions. |
| 197 | - [Dashboards](/axiom/guides/dashboards) — chart the same queries |
| 198 | your monitors run. |
| 199 | - [Axiom overview](/axiom) — all Axiom resources at a glance. |
| 200 | |
| 201 | Reference: |
| 202 | |
| 203 | - [Monitor API reference](/providers/axiom/monitor) |
| 204 | - [Notifier API reference](/providers/axiom/notifier) |
| 205 | - [VirtualField API reference](/providers/axiom/virtualfield) |