Accelerate incident response and post-mortems
When PagerDuty fires, AirOps MCP immediately aggregates context: correlated Datadog alerts, recent deployments from GitHub, relevant runbooks from Confluence, and the last 24 hours of Slack conversation in the affected service channel. Within 60 seconds, on-call engineers receive a ranked list of probable root causes with supporting evidence. After resolution, the workflow assembles a post-mortem draft — timeline, contributing factors, and action items — ready for review.
Process
Connect your alerting stack
Link PagerDuty to AirOps. The workflow triggers automatically when an incident is created, using the incident metadata to scope the investigation.
Aggregate incident context
AirOps pulls correlated Datadog alerts, recent GitHub deploys, relevant Confluence runbooks, and the Slack thread from the affected service channel.
Generate root cause hypotheses
The workflow analyzes the aggregated context and produces a ranked list of probable root causes, each with supporting evidence from the data.
Assist live investigation
During the incident, engineers can prompt AirOps directly in Slack to query logs, check runbooks, or draft customer communications.
Auto-draft the post-mortem
After resolution, AirOps assembles a post-mortem draft: timeline, contributing factors, impact summary, and action items — ready for the team to review.
Key benefits
Publish 10,000+ pages from a single workflow run
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