Alerting Without Noise: How TrackIT Thinks About Signals

Alerting By monitoring.ly

Most monitoring systems don’t fail at collecting data. They fail at telling you when to act.

Alert fatigue is not a people problem — it’s a system design problem.

TrackIT treats alerting as a decision system, not a notification system.

The Alerting Problem

Common issues with traditional alerting:

  • Too many alerts for minor fluctuations
  • Single-metric triggers without context
  • No correlation between related failures
  • Repeated alerts for the same incident

The result? Engineers stop trusting alerts.

TrackIT’s Alerting Philosophy

TrackIT follows three rules:

  1. An alert must represent an actionable condition
  2. Multiple signals are better than single thresholds
  3. One incident should produce one alert

If an alert doesn’t require action, it shouldn’t exist.

Alert Evaluation Model

TrackIT evaluates alerts using a layered approach:

Metric Evaluation

  • Threshold breaches
  • Sustained conditions (not spikes)
  • Cooldown windows

Condition Correlation

  • Multiple metrics confirming degradation
  • Service state + resource pressure
  • External failures correlated with internal health

Incident Grouping

  • Related alerts grouped into a single incident
  • Prevents alert storms
  • Clear start and recovery states

This allows engineers to focus on root causes, not symptoms.

Transparency Over Magic

TrackIT avoids black-box alerting.

Every alert is explainable:

  • Which metrics triggered it
  • For how long
  • Under what conditions
  • When it will resolve

Engineers should understand why they are being paged.

Preparing for Intelligent Alerting

TrackIT is laying the groundwork for:

  • Baseline-based anomaly detection
  • Historical pattern comparison
  • Predictive degradation alerts

Not to replace engineers — but to give them earlier, better signals.

Alerting Is a Contract

An alert is a promise:

“Something is wrong, and you should act now.”

TrackIT takes that promise seriously.

Final Thoughts

Good monitoring tells you what is happening. Great monitoring tells you what to do next.

TrackIT is built to reduce noise, increase confidence, and restore trust in alerts.