TICKET MANAGEMENT

Deduplicate New PagerDuty Incidents into an Open Outage

When a new PagerDuty incident is created, checks whether an open incident already exists for the same service and recent window.

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew PagerDuty incident createdPagerDutyPagerDuty
  • ActionList open incidents for the same service in the lookback windowPagerDutyPagerDuty
  • LogicBranch: matching open incident found?
  • ActionMerge new incident into existing one as duplicatePagerDutyPagerDuty
  • OutputPost consolidated update to incident Slack channelSlack

What it does

During an outage, the same failure often pages repeatedly, opening a swarm of near-identical PagerDuty incidents. This workflow catches each newly created incident, looks for an existing open incident on the same service within a short lookback window, and if one is found, merges the newcomer into it. The surviving incident stays the single source of truth and Slack gets one clean notification per real outage.

When to use it

Run this on any high-traffic PagerDuty service where flapping checks or fan-out alerting create duplicate incidents. It is most valuable for teams that page on every failed health check and end up acknowledging the same problem five times.

How it works

  1. 1A new incident is created in PagerDuty and fires the trigger.
  2. 2The flow queries PagerDuty for open incidents on the same service from the last lookback window.
  3. 3A branch checks whether a matching open incident exists.
  4. 4If yes, the new incident is merged into the existing one as a duplicate.
  5. 5A single consolidated update is posted to the incident's Slack channel.

Set it up

What you configure once, before turning it on.

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

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