Nova AI Ops manages the complete incident lifecycle: detection, triage, response, resolution, and post-mortem. The incident timeline shows every event in chronological order. AI-powered severity scoring classifies incidents from SEV-1 (critical) to SEV-4 (informational). Blast radius analysis identifies affected services and users. Automated triage and escalation policies ensure the right people are engaged at the right time.
The incident timeline is a real-time feed of everything happening during an incident: alert triggers, service degradations, responder actions, AI agent decisions, communication updates, and resolution steps. Each entry is timestamped with millisecond precision and tagged with the source system. The timeline auto-scrolls to show the latest activity and supports filtering by event type, actor, and affected service.
When an incident is detected, AI analyzes the affected services, error rates, user impact, and historical severity patterns to assign a severity level from SEV-1 (critical, customer-facing, revenue-impacting) to SEV-4 (informational, no user impact). Blast radius analysis maps every downstream service and estimates the number of affected users, transactions, and revenue at risk. Severity is continuously re-evaluated as the incident evolves.
Nova AI automates the triage workflow: identify the root cause service, gather relevant logs and traces, match to similar past incidents, and suggest remediation steps. Escalation policies are time-based and severity-based: if a SEV-1 is not acknowledged within 5 minutes, it escalates to the team lead; if not resolved within 30 minutes, it escalates to the VP of Engineering. Every escalation is logged and tracked.
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