When a monitor changes state, Uptivus compares recent New Relic errors against the monitor event log and current state so AI has immediate incident context.
State-Aware Analysis
AI checks whether error activity aligns with down, degraded, and recovered states to reduce noisy correlations and focus on incident-relevant signals.
Event-Based Reporting
AI produces a report tied to the current monitor event, summarizing what error patterns were observed and how they may relate to the incident.
AI Insight Correlation Across Time Spans
Autonomous and On-Demand Insights
During autonomous insight runs or manual requests, Uptivus evaluates New Relic error logs across specific incident time spans.
Monitoring Data Cross-Check
We compare those logs to monitoring data generated by Uptivus, including uptime checks, response patterns, and monitor state transitions.
Connection Detection
AI searches for meaningful connections between error activity and monitoring anomalies, then highlights temporal patterns that may explain downtime behavior.
Structured AI Incident Reports
Correlation Summary
Reports call out where log activity and monitor behavior matched, including likely relationships and confidence cues for each connection.
Incident Timeline
AI builds a timeline from onset through recovery so teams can trace how error activity evolved alongside uptime changes.
Operational Follow-Up
Each report gives teams a clear starting point for follow-up checks and faster root-cause validation after incidents.
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