Overview of advanced thresholding in ITSI

The simple solution to thresholding in IT Service Intelligence (ITSI) is to manually configure KPI thresholds. However, there are some monitoring situations in which different workloads for a KPI occur at regular and expected intervals. Under these conditions, a static alert threshold would prove to be inaccurate.

For example, the accurate alert thresholds for a database performing Online Transaction Process (OLTP) during the day and batch processing at night would be different. Similarly, database workloads can change based purely on different time periods, such as weekday versus weekend. In both these situations, fixed, static values for thresholds might result in false alert reporting.

ITSI offers several advanced thresholding options you can leverage to more accurately and efficiently monitor your KPI data.

Advanced thresholding options

Advanced thresholding lets you define and manage alert thresholds that are either time-based (static) or adaptive (self-adjusting).

Time-based thresholds

Time-based thresholds are user-defined, static threshold values to be used at different (hourly, daily, or weekly) time blocks to accommodate known variations in data patterns. For more information, see Create time-based static KPI thresholds in ITSI.

Adaptive thresholds

Adaptive thresholds are thresholds calculated by machine learning algorithms that dynamically adapt and change based on the KPI's behavior. For more information, see Create adaptive KPI thresholds in ITSI.

Adjust advanced thresholds for daylight savings

To adjust advanced thresholds for daylight savings time, you need to use mode 4 of the kvstore_to_json.py python script to set an offset for the KPI threshold template. For instructions, see Time zone offset operations (mode 3) in the Administration Manual.