Signal

Alerts a person will actually read

1 page Per incident, not per symptom
~6 min Median time to a named cause
No agent OpenTelemetry, nothing proprietary

What it does

Monitoring that treats alert fatigue as the problem to solve. Signal groups related failures into one incident, suppresses the known-noisy, and tells you what changed just before things broke.

A monitoring system that pages you forty times for one outage has not helped you. It has made the outage harder to diagnose.

Signal correlates by dependency rather than by timestamp, so a database problem raises one incident with the twelve downstream failures attached, not thirteen pages. It also shows the deploys, config changes and feature flags in the window before the first failure, because that is almost always the answer.

Features

Dependency-aware grouping

One incident for one cause, with the downstream noise attached rather than paged separately.

What changed

Deploys, flags and config in the window before the first failure, on the incident itself.

Honest suppression

Suppressed alerts are visible and dated, so nothing is quietly muted forever.

Where it fits

Small on-call teams

Where one person carries the pager and cannot triage forty alerts at 3am.

Microservice estates

Where one failure reliably produces a dozen unrelated-looking symptoms.

Specifications

Ingest
OpenTelemetry, Prometheus, syslog
Notification
Slack, Teams, PagerDuty, SMS, webhook
Retention
30 days hot, 13 months cold

See it on your own data

A walkthrough with the people who built it, not a sales deck.

Contact us