Total event count and anomaly event count for health insight
An event is a notification that indicates a change in the state of an application or device that you are monitoring. Thus, an event can represent an error or warning, it can mean the crossing of a set threshold, or it can mean everything is working as expected, and so on. Based on the severity, events can help you discover health issues across your environment from a single console. When the product discovers an issue with a device, the monitor that is set up for that device activates an event with a severity. Informational events do not require an action. They can help you perform root cause analysis by understanding the time until which the application or device was working as expected.
The Overview page displays the total event count for a selected time range as shown in the following example image:
In the example, there are 532 events in the last 24 hours.
In a streaming and interconnected world of data analysis, an anomaly is an unexpected spike in the time-series data, a break in the periodicity, or an unclassifiable data point within a specific data set. An anomaly condition can occur independently or be due to a combination of factors. For example, a combination of slow response time and high memory utilization can cause a breach in the expected system behavior. An anomaly event depicts an anomaly condition.
The Overview page displays the total anomaly events for the selected time range as shown in the following image:
In the example, there are 485 anomalies in the last 24 hours.