Monitor error spikes in Webhook
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
02pipeline · 2 steps
- 01CTLfilter.matchenv = prod only
- 02ENRclassifyseverity → page | notify | ignore
03destinations · 1
- towebhook.outWebhookurlhttps://api.acme.com/hooks
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.
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 Webhook
POST the processed event as JSON to any HTTPS endpoint you control.
- 01
set the URL
Any HTTPS endpoint. The processed event is delivered as a JSON body on POST.
- 02
choose auth
None, a bearer token, or HMAC signing. Signed requests carry an X-Ingestlayer-Signature header you verify with your shared secret.
- 03
confirm receipt
Return a 2xx within the timeout. Non-2xx responses trigger retries with exponential backoff before the delivery dead-letters.
POST /hooks HTTP/1.1
Host: api.acme.com
Content-Type: application/json
X-Ingestlayer-Signature: t=1717000000,v1=9f86d08…
{
"type": "user.signed_up",
"payload": { "email": "ada@acme.com", "plan": "pro" }
}notes
- Endpoints must respond within 10 seconds; slower responses are treated as failures and retried.
- Retries use exponential backoff for several attempts before dead-lettering — make your handler idempotent.
- Verify the HMAC signature before trusting a payload; the raw body is signed, so compute the digest before JSON parsing.
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.
error spikes, routed elsewhere
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- Monitor error spikes in NotionNotion
more, into Webhook
- Track user signups in Webhooktrack
- Monitor failed payments in Webhookmonitor
- Route support escalations in Webhookalert
- Track waitlist signups in Webhooktrack
- Track new subscriptions in Webhooktrack
- Track canceled subscriptions in Webhooktrack
- Track successful payments in Webhooktrack
- Track trial conversions in Webhooktrack
- Track form submissions in Webhooktrack
- Track feature usage in Webhooktrack
- Track file uploads in Webhooktrack
- Monitor failed logins in Webhookmonitor
- Monitor usage-limit hits in Webhookmonitor
- Monitor cron-job health in Webhookmonitor
- Monitor CI/CD build status in Webhookmonitor
- Flag high-value leads in Webhookalert
- Catch churn-risk signals in Webhookalert
- everything you can pipe to Webhookhub