CHATBOTS
Confirm Degraded in Slack, Then Escalate to PagerDuty
When a user asks in Slack whether a service is degraded and Datadog confirms it is, the flow offers to escalate and, on confirmation, opens a PagerDuty incident for that service.
How it runs
The automated pipeline, trigger to output.
- TriggerSlack message asks if a service is degradedSlack
- ActionQuery Datadog monitor states for serviceDatadog
- LogicHealthy: reply all-clear and stop
- OutputReply degraded verdict + Escalate buttonSlack
- LogicOn click, check for existing open incidentPagerDuty
- ActionCreate PagerDuty incident for servicePagerDuty
- OutputConfirm incident link in Slack threadSlack
What it does
Closes the loop between "is this broken?" and "someone go fix it." A teammate asks about a service in Slack; if Datadog confirms a degraded state and no incident already exists, the bot offers a one-click escalation that pages the right on-call rotation in PagerDuty.
When to use it
When non-on-call staff are often first to notice a problem but don't know how to page anyone. This lets them confirm the issue against live monitors and escalate responsibly, without false-paging on a healthy service.
How it works
- 1A Slack message or command asks whether a named service is degraded.
- 2The flow queries Datadog for that service's monitor states.
- 3A logic branch checks: if healthy, reply all-clear and stop.
- 4If degraded, the bot replies with the verdict and an "Escalate" action button.
- 5On click, a logic guard checks PagerDuty for an existing open incident to avoid duplicates.
- 6If none exists, it creates a PagerDuty incident tagged with the service and triggering monitor.
- 7The bot confirms the incident link back in the Slack thread.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect DatadogMetrics, traces, log search.
- 3Connect PagerDutyIncidents, on-call, escalations.
- 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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