Winter Savings - Save up to $250 to $2500 on IT Training. Use promo code SNOWBALL

closeClose
IBM GTP Award 2018

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

Course Details
Code: MC09035G-SPVC
Tuition (USD): $495.00 • Self Paced (1 hour)
Generate a quote

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.

Skills Gained

Refer to the overview for the description of this lab.

Who Can Benefit

Anyone who needs to understand ASM and event seasonality

Prerequisites

None

Course Details

Course Outline

Refer to the overview for the description of this lab.