This IBM Self-Paced Virtual Class (SPVC) includes:
- PDF course guide available to attendee during and after course
- Lab environment where students can work through demonstrations and exercises at their own pace
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.
Refer to the overview for the description of this lab.
Who Can Benefit
Anyone who needs to understand ASM and event seasonality