CHATBOTS
On-Call Handoff Digest at Rotation Boundary
When a PagerDuty on-call rotation changes hands, this bot assembles every open incident, active alert, and unresolved Slack thread into a single handoff digest and posts it…
How it runs
The automated pipeline, trigger to output.
- TriggerPagerDuty on-call handoff eventPagerDuty
- ActionFetch open + acknowledged incidentsPagerDuty
- ActionQuery firing Datadog monitors for owned servicesDatadog
- ActionScan channel for unresolved threadsSlack
- LogicBranch on whether anything is open vs clean handoff
- OutputPost handoff digest to incoming on-callSlack
What it does
At the moment a PagerDuty schedule rotates, this bot gathers the full operational state the outgoing engineer was holding and hands it to the incoming one. No more 'so, anything I should know?' over a hurried Slack DM. The digest lists open incidents with current status, firing Datadog monitors, and any Slack threads still waiting on a human reply.
When to use it
Run this on any team with a recurring on-call rotation where context regularly gets dropped at handoff. It is most valuable for teams whose pages span multiple services and where a single Slack channel accumulates half-finished investigation threads.
How it works
- 1PagerDuty fires its `on_call_handoff` event when the schedule boundary is reached.
- 2The bot pulls all open and acknowledged incidents for the affected escalation policy from PagerDuty.
- 3It queries Datadog for monitors currently in Alert or Warn state on the owned services.
- 4It scans the incident channel for threads with no reply in the last interval, flagging them as unresolved.
- 5A branch checks whether anything is actually open; if all clear, it posts a short 'clean handoff' note instead.
- 6The assembled digest is delivered as a direct message and channel post to the incoming on-call engineer.
Set it up
What you configure once, before turning it on.
- 1Connect PagerDutyIncidents, on-call, escalations.
- 2Connect DatadogMetrics, traces, log search.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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