Scheduled jobs and parameters for alert grouping

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  • Updated March 12, 2026
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    Summary of Scheduled Jobs and Parameters for Alert Grouping

    This content provides guidance on automating the organization of alerts within ServiceNow by configuring scheduled jobs that group alerts based on specific criteria. The primary job,Service Analytics group alerts using RCA/Alert Aggregation, runs every minute to facilitate this process.

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    Key Features

    • Scheduled Jobs: Run multiple jobs in parallel for efficient alert grouping.
    • Grouping Parameters:
      • saanalytics.aggregationenabled: Activates alert grouping by setting the property to true.
      • saanalytics.agg.querydynamicwindow: Specifies a default 10-minute window for grouping alerts based on event generation times.
      • saanalytics.agg.querymaxgrouplifetime: Defines a maximum grouping period of 30 minutes from the first alert to the last in a group.
      • saanalytics.agg.groupexpirationtime: Can extend grouping time beyond 30 minutes when necessary.
    • Custom Properties: Some parameters require manual property creation to be utilized.

    Key Outcomes

    By effectively configuring these jobs and parameters, ServiceNow customers can enhance alert management, ensuring alerts are grouped logically based on timing and predefined criteria. This improves visibility and response times for incident management. Understanding the grouping logic, including how time gaps affect aggregation, allows for better optimization of alert handling processes.

    Automate alert organization by configuring jobs to group alerts based on predefined criteria and parameters.

    To group alerts in Automated, CMDB, Text-based, Tag Cluster, and Network Traffic Correlation groups, the scheduled job named Service Analytics group alerts using RCA/Alert Aggregation is typically run once per minute. This job handles the grouping of alerts based on the specified method. Additionally, you can run multiple scheduled jobs in parallel to manage alert grouping more efficiently. For further details, see Run multiple scheduled jobs for alert grouping.

    To define which alerts are grouped, the following parameters are used:
    • sa_analytics.aggregation_enabled: This parameter enables alert grouping created by the schedule job. Set the property Enable alert aggregation for Automated, CMDB, and Text-Based groups to true to activate this feature.
      Note:
      This property also applies to Tag Cluster and Network Traffic Correlation grouping.
    • sa_analytics.agg.query_dynamic_window: By default, this is set to 10 minutes (600 seconds). It defines the maximum time difference allowed between the last event generation times of two alerts that can be grouped together.
    • sa_analytics.agg.query_max_group_lifetime: This parameter specifies the maximum time period from the generation of the first alert to the last alert in a group, with a default of 30 minutes (1800 seconds). If events arrive with a delay exceeding this period, the sa_analytics.agg.group_expiration_time parameter can be used to extend the grouping time beyond 30 minutes.
    Note:
    Some parameters, such as sa_analytics.agg.query_dynamic_window, sa_analytics.agg.query_max_group_lifetime, and sa_analytics.agg.group_expiration_time, are not provided out of the box. To use these properties, you need to create properties with the same names and assign the required values to them. For more information on how to create a property, see Add a system property.

    Example: How alerts are grouped

    For tag-cluster grouping, alerts are added to a group based on the timeframe parameter defined in the alert tag clustering settings. For automated, CMDB, and text-based, network traffic grouping, alerts are aggregated as follows.

    Consider the following alerts with the same CI. (All of them may be added to the same CMDB group).
    • Alert1: Initial event generation at 01:00:00 AM
    • Alert2: Initial event generation at 01:11:00 AM
    • Alert3: Initial event generation at 01:13:00 AM
    • Alert4: Initial event generation at 01:16:00 AM
    • Alert5: Initial event generation at 01:25:00 AM
    • Alert6: Initial event generation at 01:34:00 AM
    • Alert7: Initial event generation at 01:43:00 AM
    Alert1 and Alert2 are not grouped due to the time gap exceeding 10 minutes. Alert2 and Alert3 create a group at 01:13:00 AM. The 10-minute dynamic window starts at 01:13:00 AM, with the following:
    • Alert4 is added to the group at 01:16:00 AM, restarting the 10-minute window.
    • Alert5 and Alert6 are added to the group as their event times are within the 10-minute window.
    • Alert7 is not added to the group because it arrives 9 minutes after Alert6, exceeding the sa_analytics.agg.query_max_group_lifetime limit of 30-minute maximum group lifetime from the initial group creation (01:13:00 AM + 30 minutes = 01:43:00 AM).
    Note:
    After an alert is created, correlation logic is applied only once. Changes to the alert after its creation are not re-evaluated for correlation. If correlation is not established initially, the alert may still be added to a group later—but only if a new incoming alert matches and triggers grouping logic.