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Status Under review
Workspace IBM Cloud Pak for AIOps
Created by Guest
Created on Oct 1, 2024

RELATED IDEAS

Train events to identify event anomalies

See this idea on ideas.ibm.com

Events are received continuously and have a corresponding/expected payload which is used to perform important backend processing, e.g. policies will trigger incident creation based on field values, events are grouped based on scope values settings, events are associated to topology resources based on their matchToken values. If  event data sources like a SCOM or Zabbix system will change the payload due to updates or config changes, the backend processing might stop to work. If the events would be trained, AiOps would know how typical events will look like (field value settings) and can detect anomalies if a value does change suddenly, a field becomes empty which is wasn't before or is completly missing in the payload. Detecting these kind of deviations are hard to be executed by an human being but AI can easily learn the "normal" event payload (baseline) and detect anomalies if events start to look different than before.

Idea priority Urgent
  • Guest
    Reply
    |     Mar 31, 2025

    I will get in touch with you directly for more context during this week. Thx Detlef

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