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Lab: Event Seasonality analysis to discover events that occur in a non-random pattern over time – mc09035gspl

Course #: MC09035GSPL

Duration: 0.8 Hours

The goal behind event seasonality is to automatically identify events that occur in a non-random pattern. For example, CPU utilization on a server peaks every Monday at 2:00 AM because a scheduled process runs at that time. The feature identifies the patterns, and when events do not fit the pattern. By analyzing the reports, it is possible to reduce the number of events that occur at non-random times. This could be done by adjusting instrumentation to compensate for known peaks, or simply filtering the events. The analysis can also help determine where anomalies are occurring that were not previously known.

Objectives

Refer to the overview for the description of this lab.

Audience

Anyone who needs to understand ASM and event seasonality

Prerequisites

None

Topics

Refer to the overview for the description of this lab.

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