All use cases
ON-CALL HEALTH

Cut 10,000 alerts a day to 50 actionable incidents

On-call gets paged for every threshold breach, most of which are noise, and the real signal gets lost in the flood.

"When something is actually wrong, I want a single notification with full context, not the 47 fragments my static-threshold tooling has been firing all morning."

The problem

Static thresholds at scale produce thousands of alerts per day, and 95% of them are noise. The team mutes channels, raises thresholds, and sets stricter notification rules, until the next real Sev-1 lands in a dead zone. Alert fatigue is the leading cause of senior SRE attrition; replacing one senior engineer costs $300K-$600K. The math justifies investing in noise reduction even before counting missed-incident risk.

How Nova solves it

Nova compresses raw events into actionable incidents through deduplication, correlation, inhibition, and severity tiering, before anything reaches the on-call.

  1. Anomaly detection beats static thresholds

    Nova's predictive engine learns each service's baseline and fires on deviations from pattern, not absolute values. A 5x spike during a deploy is not the same as a 5x spike at 3am.

  2. Cross-signal correlation collapses chains into incidents

    When 47 alerts fire because one upstream is degraded, Nova groups them into one incident with the upstream as the suspected root cause, ranked with provenance.

  3. Inhibition during planned events

    Deploys, maintenance windows, and known traffic peaks suppress related alerts automatically, so the team isn't paged for expected behavior.

Best-in-class teams running Nova process 10,000+ raw events per day into ~50 actionable incidents, a 200x reduction in cognitive load, with no missed-incident regression.

Try this on your stack

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