---
sourceDocument: Yokohama IT Operations Management
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/it-operations-management

 Release :

    - yokohama

ft:locale :

    - en-US

ft:publication_title :

    - Yokohama IT Operations Management

ft:clusterId :

    - itom

bundleId :

    - itom

workflow :

    - Technology


---

# View the list of muted metrics

# View the list of muted metrics {#ariaid-title1}

* Release version: Yokohama
* 
* Updated January 30, 2025
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

View the list of metrics that were muted so that they no longer generate
alerts.

## Before you begin

Role required: evt_mgmt_operator or evt_mgmt_admin

## Procedure

Navigate to AllHealth Log AnalyticsLog Anomaly DetectionMuted Metrics.  
{#hla-op-alert-view-ignored-list__table_wrt_hlg_qmb__entry__2}

| Field | Description |
|-|-|
| Service instance | Service instance where the muted alert with which the metric is associated appears. |
| Component | Logical component of the service instance that generated the event. Multiple CIs can sometimes perform the same function. |
| Pattern text | Text for the metric that is associated with the muted alert. |
| Metric | Log text or key that represents a meter or gauge value in the data. For example, patterns, raw metrics, keyword, severity, all events metrics. |
| Created | Date and time when the metric was added to the list. |
[Table 1. Muted Metrics]

{#hla-op-alert-view-ignored-list__table_wrt_hlg_qmb}
**Related tasks**   

* [Mute an unimportant alert](https://servicenow-prod.fluidtopics.net/r08bZujky4K1GIgi~hFk2w "Eliminate distracting new alerts for insignificant issues by muting them.")
* [Restore normal importance to an alert metric](https://servicenow-prod.fluidtopics.net/gzplutDag2tRcZUlpkbLSQ "Return normal significance to the metric involved in generating a Log Analytics alert. Use this option if you no longer want an alert to be treated specially that was muted, marked as significant, or made less sensitive to similar anomalies.")

*[\>]: and then