Mute an unimportant alert in Health Log Analytics

  • Versão de lançamento: Australia
  • Atualizado 12 de mar. de 2026
  • 1 min. de leitura

    • Eliminate distracting new alerts for insignificant issues by muting them.

    Antes de Iniciar

    Role required: evt_mgmt_operator or evt_mgmt_admin

    Importante:
    From the Vancouver release onward, the Operator Workspace is deprecated and replaced with Service Operations Workspace. For the new procedure, see the corresponding topic in the Service Operations Workspace for ITOM documentation: Mute an unimportant alert in Health Log Analytics.

    Por Que e Quando Desempenhar Esta Tarefa

    When you mute an alert that is based on the keyword metric or the pattern severity metric, the system mutes the metric in the dominant pattern. The dominant pattern is the main pattern that contributes to the anomaly. For the specified source only, anomalous behavior for the metric that is associated with the muted alert no longer generates alerts. You can also mute the metric that is associated with an unimportant alert for all components of the Service instance. A component can be multiple CIs that perform the same function.

    Procedimento

    1. In the Service Operations Workspace, open the alert that you don't want to see again.
    2. Select Apply ML feedback > Mute an alert.
    3. Select Apply ML feedback
    4. Mute the metric associated with the alert by doing one of the following:
      • Select Mute alert metric to mute the metric for the specified source only.
      • Select Mute alert metric for all components to mute the metric for all components of the service instance.
    5. Confirm the action in the dialog box.
      Nota:
      Processing this feedback might take a few seconds.
    6. Opcional: Restore the muted alert.
      If you no longer want the muted alert to be treated specially, you can restore normal significance to the metric involved in generating it. For more information, see Restore normal importance to an alert metric in Health Log Analytics.