ingestlayer/recipes

Monitor error spikes in Discord

Turn a sudden burst of one error into a single, classified alert — production only, severity already decided — instead of a wall of duplicate noise.

01source

sourcesdk.eventTypeScript SDK
matcherror.spike

02pipeline · 2 steps

  • 01CTLfilter.matchenv = prod only
  • 02ENRclassifyseverity → page | notify | ignore

03destinations · 1

  • todiscordDiscord
    channel#ops

the event

You emit error.spike with this shape. The TypeScript SDK keeps the call type-safe, and the event is stored whole — so every field below is available to the pipeline by name.

  • servicestring
  • errorstringerror class
  • countnumberin window
  • windowstringe.g. 5m
  • envstringprod | staging

emit it

From your code with the TypeScript SDK — or any language over the REST endpoint and signed webhook ingress.

emit error.spike
import { ingest } from "@ingestlayer/sdk";

await ingest("error.spike", {
  service: "checkout",
  error:   err.name,
  count:   windowCount,
  window:  "5m",
  env:     process.env.NODE_ENV,
});

route it to Discord

Send rich embeds to a channel via a connected bot or a channel webhook.

  1. 01

    connect the bot

    Add the ingestlayer bot to your server, or paste a channel webhook URL. Either credential is held in-region.

  2. 02

    choose the channel

    Select the target channel from the picker. Each connected channel is one reusable destination row.

  3. 03

    shape the embed

    The default embed carries the event name as its title and the payload as name/value fields; override with $event.* references.

in discorddelivered
┌─ #ops ─────────────────────────────────┐
│ ▎ payment.failed                        │
│ ▎ customer   acme-inc                   │
│ ▎ amount     €240.00                    │
│ ▎ reason     insufficient_funds         │
│ ▎ attempt    2                          │
└─────────────────────────────────────────┘

notes

questions

Can staging stay out of the on-call channel?
Filter on env so only production spikes page anyone; staging can route to a quieter place or nowhere.
How is severity decided?
classify weighs the error class and count against your prompt and returns a typed severity the pipeline branches on.
Will one bad minute spam the channel?
You emit one spike event per window, so a burst is summarized as a count rather than streamed error by error.
build this pipelineor read the quickstart →

error spikes, routed elsewhere

more, into Discord