Recent Sentry Error Review

Event Log Alignment

When a monitor changes state, Uptivus compares recent Sentry 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 Sentry 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.

AI Error Correlation with Sentry + Uptivus