Tag cluster alert grouping
Summarize
Summary of Tag Cluster Alert Grouping
Tag cluster alert grouping provides a non-code method for correlating alerts to reduce alert noise. This feature is activated by the Tag-Based Alert Clustering Engine application available in the ServiceNow Store. Alerts are grouped based on specified correlation logic and can utilize many-to-many tagging relationships.
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Key Features
- Alert Grouping Tags: Create tags to define grouping criteria, with options for exact, fuzzy, or pattern matches. Preconfigured tags are also available for quick setup.
- Alert Clustering Definitions: Define conditions for alert correlation using either custom or predefined definitions, ensuring predefined definitions are activated before use.
- Domain Separation: Supports distinct alert grouping configurations across different domains.
- Timeframe Evaluation: Alerts are grouped based on the timeframe defined in the clustering settings, allowing for efficient management of incoming alerts.
- Key Values Table: Create key values to cluster Configuration Items (CIs) based on common attributes like supplier or location.
Key Outcomes
By implementing tag cluster alert grouping, ServiceNow customers can effectively manage alerts with reduced clutter, streamline incident handling, and enhance operational efficiency. This approach enables faster identification of related alerts, ultimately improving response times and service quality.
Tag cluster alert grouping enables you to easily create groups of alerts. It is a non-code method of alert grouping that correlates alerts without having to use CMDB or model training. This simpler way of grouping similar alerts reduces the overall noise of a large quantity of alerts.
Tag cluster alert grouping is enabled immediately after the activation of the Tag-Based Alert Clustering Engine application, available in the ServiceNow Store. This grouping is applied according to the correlation logic order specified in the Configure alert correlation logic order. Alert grouping tags are attached to definitions on a many-to-many (M2M) basis. Multiple tags can be linked to a single definition, and a tag can be part of multiple definitions. Groups formed from tag cluster alert grouping definitions are classified as the Tag Cluster group type.
Tag cluster alert grouping supports domain separation, allowing different domains to have their own distinct alert grouping configurations and logic.
First, create alert grouping tags to define the criteria for grouping alerts. You can set the tags to require an exact match, an approximate ('fuzzy') match, or a character pattern match.
You can also use preconfigured tags to speed up alert clustering. These predefined tags are mapped from alerts and are based on information from sources such as the Alert field, Alert tags, or Alert additional info. If the required data is missing and the selected tag source is Alert CI or Alert CI key, the tag is populated using the Configuration Item (CI) value from the Configuration Management Database (CMDB). Predefined tags are easily identified by their description, which includes 'out of the box.'
You can attach one or more tags to an alert clustering definition, which specifies the conditions for alert correlation. You can either create your own alert clustering definition or use a predefined one provided by the application. Predefined definitions come with associated tags.
Once one or more alert clustering tags are attached to a definition, the system collects alerts and checks if their tags match all the tag values specified in the definition. Alerts with matching or similar tag values are grouped together. New incoming alerts join an existing group if their tags match the tags in the definition used to create the group.
For tag-cluster grouping, alerts are added to a group based on the timeframe defined in the alert clustering settings. The time between the initial alert (virtual alert) and subsequent alerts is evaluated. If two new alerts are received, and their time difference falls within the defined timeframe, they are added to the group. The initial event's generation time is used to determine the relevance of the timeframe.