It has never been easier to view all incidents in one place.
Webeyez monitors your site in 3 different ways.
The first type of monitoring is anomaly detection. Webeyez developed proprietary machine learning algorithms that seek for anomalies in goal execution time, page load time and first contentful paint. Anomaly detection is set up automatically, no setting needed. The second type of monitoring is threshold monitoring. Customers can set a specific threshold that when breached, an alert is triggered. For example, if the average execution time of add to cart exceeds 5 seconds trigger an alert. To learn more about the threshold alert settings view our alert settings tutorial. The third type of monitoring is uptime, Webeyez tests every 5 minutes whether the site is up or down. To learn more about how to set uptime monitoring, view our alert settings tutorial.
The alerts distribution chart presents a high-level view of all alert categories per time frame. The deeper the red color is the more alerts triggered.
Below you can find each alert category in a different tab. In this tutorial, I’ll explain about tech anomalies.
Webeyez anomaly detection algorithms score each anomaly event. The score ranges between 1-100. Webeyez categorized 3 levels of severity, critical – score is above 75, marked in red. Major severity, score between 51-75, marked in yellow and minor severity, score is between 25-50, marked in orange.
The numbers in the severity boxes are the number of alerts in that category of severity.
When clicking on the anomaly row, a chart opens with a visualization of the anomaly. Red, yellow and orange dots on the chart mark the date and time where an anomaly was detected. Going back and forth in time is made easy by simply moving the date filter below the chart. Anomalies are marked on the date filter to make them easier to find.
Notifications are sent by email and push notification to our mobile app, for both iOS and Android.