From signal to ticket · Illustrative simulation From signal to ticket.
One slow checkout, a few hundred alarms, and the steps that turn them into a single ticket with an owner.
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The store, systems, counts and timings are made up to show the idea. A shopper applies for store credit at a checkout terminal. The request passes through seven hops, and normally the answer is back in a few seconds. In this scenario it takes about forty, and the queue at the till is growing.
What each stage does
This piece needs scripts to run. In plain terms, here is what it shows:
- Normalize: alarms from every layer are put in one format.
- Deduplicate off: hundreds of near-identical tickets.
- Enrich off: the ticket has no service name, no affected stores and no owner.
- Correlate off: several teams each get a separate ticket for the same fault.
- Route off: the ticket sits in a general queue until someone notices it.
- Everything on: a handful of tickets, each with an owner and a likely cause, instead of hundreds of pages.
What this says about maturity
Each stage can be done by hand, partly automated or automated. This table shows what each looks like.
| Stage | Manual | Partly automated | Automated |
|---|
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Illustrative simulation. Everything shown, including the store, the systems, the alarm counts, the timings and the ticket details, is invented to explain the idea and is not measured data.