TICKET MANAGEMENT

Detect duplicate-ticket spikes and open one incident

On a short interval, scan recently created tickets for a sudden cluster sharing a topic, and when the count crosses a spike threshold.

CategoryTicket Management
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerShort-interval schedule
  • ActionFetch recent tickets + embeddingsPostgreSQLPostgres
  • LogicCluster exceeds spike threshold?
  • ActionDedup against open incidentsPostgreSQLPostgres
  • ActionOpen one PagerDuty incidentPagerDutyPagerDuty
  • OutputPost incident + ticket list to on-call SlackSlack

What it does

Turns a flood of duplicate tickets into a single signal. Rather than one alert per ticket, it watches for a rapid cluster of similar tickets — the fingerprint of an outage — and raises exactly one incident with the full list attached.

When to use it

Use it when incidents reveal themselves first in support volume: a payment provider goes down and tickets spike before monitoring catches it. This gives on-call an early, deduplicated heads-up.

How it works

  1. 1A short-interval schedule triggers the scan.
  2. 2Postgres returns tickets created in the trailing window with their precomputed embeddings.
  3. 3A logic step clusters them and checks whether any single cluster exceeds the spike threshold over the baseline rate.
  4. 4If no spike, the flow exits quietly.
  5. 5On a spike, it deduplicates against open incidents in Postgres so it never double-pages, then opens one PagerDuty incident describing the cluster.
  6. 6It posts the incident link and the list of affected ticket ids to the on-call Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect PagerDutyIncidents, on-call, escalations.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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