Managing alert generation, prioritization, anomaly detection
Influence how Health Log Analytics generates and prioritizes alerts and identifies anomalies. Use alert filters to reduce noise from unimportant issues.
Overview of impacting alert generation, prioritization, and anomaly detection
Explore how to influence alert generation and anomaly detection in Health Log Analytics. You can create and modify rules to generate alerts for specific metrics, ensuring that you're informed of important issues. You can also assign different levels of significance to alerts, helping Health Log Analytics prioritize them based on their relevance. In addition, you can influence anomaly detection by managing the keywords that Health Log Analytics looks for in your log data, and use advanced log alert filters to reduce noise.
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Using alert rules to control when Health Log Analytics generates alerts
Manage alert rules to generate Log Analytics alerts for specified metrics.
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Assign higher or lower significance to an alert in Health Log Analytics
Assign higher or lower significance to an alert to help prioritize the alerts that Health Log Analytics generates.
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Influence anomaly detection in Health Log Analytics with lexical keywords
Influence how Health Log Analytics finds anomalies by managing keywords it looks for in your log data.
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Reduce noise by adding advanced log alert filters
Use advanced log alert filters to reduce noise by making Health Log Analytics drop alerts that don't indicate a significant issue.
---
title: Managing alert generation, prioritization, anomaly detection
description: Influence how Health Log Analytics generates and prioritizes alerts and identifies anomalies. Use alert filters to reduce noise from unimportant issues.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/it-operations-management/health-log-analytics/hla-controlling-alert-generation.html
release: brazil
product: Health Log Analytics
classification: health-log-analytics
topic_type: concept
last_updated: "2026-09-10"
reading_time_minutes: 1
keywords: [alert generation, alert prioritization, anomaly detection, alert rules, alert significance, alert filters, log anomalies, keyword management, noise reduction, alert management, log alert filtering, advanced filtering]
breadcrumb: [Health Log Analytics, ITOM AIOps, IT Operations Management]
---
# Managing alert generation, prioritization, anomaly detection
Influence how Health Log Analytics generates and prioritizes alerts and identifies anomalies. Use alert filters to reduce noise from unimportant issues.
## Overview of impacting alert generation, prioritization, and anomaly detection
Explore how to influence alert generation and anomaly detection in Health Log Analytics. You can create and modify rules to generate alerts for specific metrics, ensuring that you're informed of important issues. You can also assign different levels of significance to alerts, helping Health Log Analytics prioritize them based on their relevance. In addition, you can influence anomaly detection by managing the keywords that Health Log Analytics looks for in your log data, and use advanced log alert filters to reduce noise.
- [Using alert rules to control when Health Log Analytics generates alerts](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/it-operations-management/health-log-analytics/hla-alert-rules-manage.md)
Manage alert rules to generate Log Analytics alerts for specified metrics.
- [Assign higher or lower significance to an alert in Health Log Analytics](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/it-operations-management/health-log-analytics/hla-op-alert-significance.md)
Assign higher or lower significance to an alert to help prioritize the alerts that Health Log Analytics generates.
- [Influence anomaly detection in Health Log Analytics with lexical keywords](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/it-operations-management/health-log-analytics/hla-log-anomaly-detection.md)
Influence how Health Log Analytics finds anomalies by managing keywords it looks for in your log data.
- [Reduce noise by adding advanced log alert filters](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/it-operations-management/health-log-analytics/hla-op-adv-alert-filtering.md)
Use advanced log alert filters to reduce noise by making Health Log Analytics drop alerts that don't indicate a significant issue.
| title | Managing alert generation, prioritization, anomaly detection |
| description | Influence how Health Log Analytics generates and prioritizes alerts and identifies anomalies. Use alert filters to reduce noise from unimportant issues. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/it-operations-management/health-log-analytics/hla-controlling-alert-generation.html |
| release | brazil |
| product | Health Log Analytics |
| classification | health-log-analytics |
| topic_type | concept |
| last_updated | 2026-09-10 |
| reading_time_minutes | 1 |
| keywords | alert generationalert prioritizationanomaly detectionalert rulesalert significancealert filterslog anomalieskeyword managementnoise reductionalert managementlog alert filteringadvanced filtering |
| breadcrumb | Health Log AnalyticsITOM AIOpsIT Operations Management |