ingestlayer/recipes

Monitor error spikes in Telegram

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

  • totelegramTelegram
    chat@oncall

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 Telegram

Message a person, group, or channel through a connected bot.

  1. 01

    connect a bot

    Create a bot with @BotFather and paste its token. We register the webhook and verify it in-region.

  2. 02

    start a chat

    Send /start to the bot from the target chat — or add it to the group/channel — then pick the chat from the list.

  3. 03

    format the text

    Messages use MarkdownV2; the default template bolds the event name and lists fields. Reserved characters in field values are escaped for you.

in telegramdelivered
oncall
*support.ticket.created*
ticket    T-4821
subject   API returning 500s
tier      enterprise
urgency   critical

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 Telegram