Intelligent Alerts

Beat Alert Fatigue

“Wavefront has an advanced alerting system that is based on its query engine. The user can craft dynamic alert conditions, which are much more powerful than plain old ‘threshold based’ alerts. When creating a new alert, users can back-test the alert on existing data before saving it. This way, they can see when the alert would have fired in the past. Ultimately, Wavefront users experience fewer false alarms, and are able to better predict how their applications and environments will behave going forward.”

-Durren Shen, Founder & Engineer

Prevent False Alarms

Advanced Anomaly Detection

ADVANCED ANOMALY DETECTION

Most systems detect simple threshold-based anomalies, which makes it difficult to easily distinguish between false alarms and real issues. In contrast, Wavefront allows you to craft alerts that are tailored for your data.

The first chart shows the volume of traffic into a front-end load balancer.  There are two distinct features in this chart:

  • A vertical dip on the left side of the chart, which is a false alarm
  • A much shallower, but more sustained dip towards the right side of the chart, which represents a true outage.

Let’s assume we used threshold-based alerts. Even if we smoothed the line by taking the moving average, you would see a triggered alarm for both dips.

Further, in the second chart, we use a function to show the moving median of the first chart. The moving median removes the first short dip, but not the second dip. Therefore, we can create an alert condition with Wavefront based on the moving median suddenly dipping. With hundreds of functions, Wavefront can help you craft the perfect alert for any given anomaly.