Alert grouping types and creation methods

  • リリースバージョン: Australia
  • 更新日 2026年03月12日
  • 所要時間:4分
  • Explore different alert grouping types, understand their descriptions, and learn about their creation methods to enhance problem identification and streamline alert management.

    Viewing and managing alert groups

    Navigate to Event Management > All Alerts to view all alert groups. The icon in the Group column denotes the alert group type, while alerts not associated with any group have no entry in the Group column. Double-click the Group column to open the Grouped Alerts dialog, where you can view all alerts in the group and manually add or remove alerts.
    注:
    An alert can belong to only one alert group at a time.

    Types of alert grouping

    表 : 1. Alert grouping types
    Type Icon Description Creation method Additional information
    Log Analytics L Log Analytics groups are formed when the system identifies multiple related Log Analytics alerts, grouping them based on their significant connections. Created as part of log analytics event processing. Kinds of Health Log Analytics alerts
    Rule-based R Rule-based groups consist of related alerts that are organized based on compliance with alert correlation rules, which determine how alerts are grouped according to their relationships. Created via business rule (Calculate correlation rule) on em_alert table when alert is created or updated.
    Automated A Automated groups are formed by alert aggregation and include a virtual alert as the primary alert of the group. An Aggregated automated group is created when two or more alerts share the same CI type and metric name. Created via scheduled job. Automated alert grouping
    CMDB C CMDB groups are formed based on CI relationships in the CMDB, specifically for CIs that are not included in rule-based or automated groups. Created via scheduled job. CMDB based alert grouping
    Network traffic based N Network traffic alert groups are formed by analyzing network traffic connections between processes across hosts. This method leverages service candidates identified through ML Service Mapping to group alerts related to network traffic issues. Created via scheduled job. Network traffic based alert grouping
    Text T Text groups are formed by grouping alerts based on similar text from frequently used words in following fields.
    • Description
    • Metric Name
    • CI Class
    Created via scheduled job. Text-based alert grouping
    Tag Cluster Tag Tag Cluster groups are formed by grouping alerts according to user-defined tag-based alert clustering definitions. Created via scheduled job. Tag cluster alert grouping
    Manual M Alerts grouped manually by users to organize related issues. Created manually by the user. Manual alert grouping

    For information on scheduled jobs and parameters, refer to Scheduled jobs and parameters for alert grouping. For detailed information on configuring alert correlation logic order, see Configure alert correlation logic order.