TICKET MANAGEMENT

Roll up PagerDuty alert storm into one Linear incident

When PagerDuty fires a burst of alerts in a short window, opens or reuses a single Linear incident, attaches every alert to it.

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerPagerDuty alert webhookPagerDutyPagerDuty
  • ActionLook up open Linear incident for serviceLinearLinear
  • LogicReuse existing or create new incident?
  • ActionAttach alert and link to canonical issueLinearLinear
  • ActionSubscribe paged respondersLinearLinear
  • OutputPost roll-up to incident Slack channelSlack

What it does

During an outage, PagerDuty often fires dozens of related alerts that would otherwise spawn dozens of Linear tickets. This workflow detects an alert storm within a time window, opens one canonical Linear incident (or reuses an existing open one for the same service), and links every incoming alert to it while subscribing each responder named on the alerts.

When to use it

Use it on services where a single failure cascades into many alerts. Instead of triaging duplicate tickets after the fact, you get one incident that accumulates context in real time and a subscriber list that already includes everyone paged.

How it works

  1. 1A PagerDuty incident webhook triggers on each new alert.
  2. 2The flow checks for an open Linear incident already tied to that PagerDuty service.
  3. 3A branch decides: reuse the existing incident, or create a new canonical one.
  4. 4It appends the alert details and links the PagerDuty incident to the Linear issue.
  5. 5It adds every responder from the alert as a subscriber on the canonical issue.
  6. 6It posts a running roll-up 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 LinearIssues, projects, cycles, triage.
  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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