How We Reduced Alert Fatigue by 80%
If you're an on-call engineer, you know the feeling. Your phone buzzes at 2 AM. You blearily check PagerDuty. It's the same flaky health check that's fired 47 times this month. You acknowledge it, roll over, and go back to sleep.
Except tonight, buried in those 47 alerts, there was a real one. And you missed it.
This is alert fatigue, and it's the silent killer of reliability engineering.
The Root Cause of Alert Fatigue
Most monitoring tools are designed to be sensitive. They fire alerts on raw threshold breaches:
- CPU > 85% — fires even during normal traffic spikes
- Error rate > 1% — fires even when the errors are benign retries
- Latency P99 > 500ms — fires during planned deployments
The result? Hundreds of alerts per week, most of which are noise. Engineers learn to ignore them, and the important signals get lost in the flood.
How Operyn Tackles This
We used the opportunity to rebuild alerting from a fundamentally different angle. Instead of alerting on raw thresholds, Operyn uses signal correlation to determine whether a group of anomalies represents a genuine incident.
1. Deduplication
When the same service triggers the same alert pattern within a configurable time window, Operyn merges them into a single incident with a duplicateCount. Instead of 47 pages, you get one — with context showing it's been recurring.
2. Cross-Signal Correlation
A CPU spike on payment-api plus a deploy on payment-api plus an error log mentioning connection pool exhaustion isn't three separate alerts. It's one incident, and Operyn treats it that way automatically.
3. Severity Intelligence
Not all alerts are created equal. By analyzing the downstream impact (is it affecting user-facing traffic? Is latency degrading SLAs?), Operyn dynamically assigns severity instead of relying on static thresholds.
The Result
Teams using Operyn's correlation engine typically see:
- 80% fewer pages to on-call engineers
- Zero missed critical incidents in the first 90 days
- 3x faster MTTR because every alert arrives with context
Stop drowning in noise. Start seeing signal.