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Status Future consideration
Workspace IBM Cloud Pak for AIOps
Created by Guest
Created on Dec 6, 2023

RELATED IDEAS

Add a custom model for linking with job process information

Provides insight to understand the business process environment. 

In the insurance industry, completing night placement jobs is very important. 

If it is not completed on time, it may lead to a biz accident.(Missing insurance claims, duplicate payments, etc.)

If related batch jobs cannot be completed due to system anomalies, anomaly detection is required.

ex) If the normal execution time, which is completed within 2 hours, is exceeded, abnormal signs are detected after correlation analysis with infrastructure or application logs.

Anomalies must be detected by analyzing IT data anomalies provided by the AIOps platform and patterns of time spent on customer application batch tasks.
This is the AIOp value that customers want.

Idea priority High
  • Admin
    Warren Zhou
    Reply
    |     May 23, 2024

    Per feedback from Idea submitter, due to recent client-side reorganization, this enhancement is not an immediate priority. However, it could have potential value for similar clients and may be considered in the future.

  • Admin
    Warren Zhou
    Reply
    |     May 22, 2024

    @Guest Could you share more info on what data the client has available for this expressed use case?

    In CP4AIOps, Alert Seasonality Detection can detect when Alerts typically occur, and tell you when they are occurring outside of the normal window. There have been some thoughts on how to raise an Alert if the expected Alert did not happen.

    For example, batch processing job should complete - when it does it sends Alert to say "Batch Completed" - but no Alert is received, so AIOps would generate one. If we can also create a timeseries of how long those batches are running for then we could analyze that with Metric Anomaly Detection capability.

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