AI & RAG

PagerDuty Escalation Runbook Brief to Discord

On a high-severity PagerDuty escalation, it assembles a grounded incident brief from the matching Confluence runbook and recent Datadog signals.

CategoryAI & RAG
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerPagerDuty high-sev escalationPagerDutyPagerDuty
  • LogicGate on severity tier
  • ActionRetrieve service runbook from ConfluenceConfluenceConfluence
  • ActionPull recent Datadog metric contextDatadogDatadog
  • ActionCompose grounded incident briefOpenAI
  • OutputPost brief to incident Discord channelDiscordDiscord

What it does

Gives a freshly-paged responder everything they need in one message. When PagerDuty escalates a high-severity incident, the flow retrieves the service's runbook from Confluence, pulls recent metric context from Datadog, and posts a single grounded incident brief to the incident Discord channel, citing the runbook sections and the live signals it referenced.

When to use it

Use it for severe incidents where the responder is paged cold and needs an authoritative starting point fast. Best for teams running PagerDuty for paging and Discord for incident coordination, who want the first message in the channel to already be useful rather than just a page notification.

How it works

  1. 1A PagerDuty escalation webhook fires for a high-severity incident.
  2. 2A logic step gates on severity, proceeding only for the escalation tiers you choose.
  3. 3Confluence is searched for the runbook matching the affected service.
  4. 4Datadog is queried for recent metrics on that service to add live context.
  5. 5An OpenAI step writes a grounded incident brief, citing runbook sections and the metrics used.
  6. 6The brief is posted to the incident Discord channel for the responder.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PagerDutyIncidents, on-call, escalations.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect DatadogMetrics, traces, log search.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Connect DiscordCommunity channels + voice + bots.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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