Real teams. Real incidents. Real results.
14-minute average MTTR. Payment incidents required manual log correlation and frequent false positives, consuming 120 engineer-hours per month in triage.
Deployed Aura to auto-investigate payment flow incidents. Platform unified logs, metrics, and traces; prioritized high-confidence findings; generated runbooks in real-time.
Database incidents affected 2M concurrent users. 45-minute average resolution time due to complex distributed architecture and cross-service observability gaps.
Aura integrated with Notion's trace and metric infrastructure to correlate slow queries with upstream load surges. Automated root cause identification across 40+ microservices.
Edge CDN incidents were geo-distributed and hard to isolate. 200+ false positives per month from alerting rules; on-call fatigue led to response delays.
Aura ingested geo-distributed logs and metrics to correlate edge region failures with origin latency. Auto-filtered noise via intelligent anomaly detection.
Trading latency spikes cost millions per second. Legacy incident response required 30+ minute manual investigation; on-call engineers struggled with 10,000+ daily log entries.
Aura deployed to ingest structured trading telemetry and auto-correlate network delays, memory pressure, and GC pauses. Generated ranked root causes in seconds.
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