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sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/de-DE/it-operations-management

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ft:locale :

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ft:publication_title :

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# Use cases for CMDB based alert grouping

# Use cases for CMDB based alert grouping {#ariaid-title1}

* Freigeben Version: Australia
* 
* Aktualisiert 12. März 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 Minuten Lesedauer

Use cases for CMDB grouping enhance alert management by correlating alerts based on Configuration Item relationships, improving visibility, and facilitating more efficient troubleshooting.

## Common CMDB grouping use cases {#cmdb-alert-grouping-use-cases__section_ucc_pq5_f4b}

In the context of CMDB grouping, organizations face several challenges when managing alerts related to Configuration Items (CIs).  
{#cmdb-alert-grouping-use-cases__table_c43_cky_gdc__entry__3}

| Use Case | Challenges | Solutions |
|-|-|-|
| Shared Configuration Item (CI) Scenario: An organization monitors a database server experiencing multiple issues, resulting in numerous alerts related to different applications using that database. | * Delayed response: Teams may respond to alerts in isolation, potentially overlooking related alerts, leading to delayed resolutions. * Inefficient resource allocation: Time and resources may be wasted on investigating separate alerts that are actually related. * Lack of context: Alerts related to the same CI can be scattered across different alert groups, making it difficult to see the full picture. {#cmdb-alert-grouping-use-cases__ul_lx4_gky_gdc} | * Aggregate alerts related to the same CI into a single group for a unified view. * Facilitate faster alert resolution by addressing all related alerts together. {#cmdb-alert-grouping-use-cases__ul_ozf_3ky_gdc} |
| Hosting/Containment Relations Scenario: A physical server hosts several virtual machines (VMs), and an alert is generated for a hardware failure on the server. Multiple alerts also arise for the VMs due to their reliance on the server. | * Visibility into dependencies: Teams may lack visibility into how CIs are interconnected, leading to inefficient troubleshooting processes. * Complex alert resolution: Understanding which CIs are affected and how they relate can be complicated, resulting in longer resolution times. * Resource drain: Mismanagement of alerts can lead to duplicated efforts across teams, wasting time and resources. {#cmdb-alert-grouping-use-cases__ul_onx_nky_gdc} | * Group alerts using CMDB hosting/containment rules to aggregate alerts related to the physical server and its hosted VMs into a single alert group. * Provide a comprehensive view of all alerts tied to the physical server's failure. * Focus remediation efforts on the physical server while monitoring the VMs to ensure all aspects are addressed efficiently. {#cmdb-alert-grouping-use-cases__ul_zfj_pky_gdc} |
| Applicative Relations Scenario: An enterprise application relies on multiple micro-services, and an issue arises with one of these services, generating alerts across several components, complicating diagnosis. | * Understanding application dependencies: Teams may find it challenging to trace how application components interact, making it difficult to pinpoint issues in complex systems. * Slow incident resolution: Without a clear understanding of applicative flow, alert resolution can be slow and labor-intensive. * Inconsistent monitoring: Alerts related to applications may not be consistently monitored or prioritized, leading to potential oversights. {#cmdb-alert-grouping-use-cases__ul_e5m_rky_gdc} | * Implement grouping based on applicative flow relations to aggregate alerts related to the affected microservice and its dependent components. * Utilize dependency maps to visualize how different services interact. * Streamline the resolution process by addressing grouped alerts related to the application, improving response times. {#cmdb-alert-grouping-use-cases__ul_yxw_rky_gdc} |
[Tabelle : 1. Common use cases]

{#cmdb-alert-grouping-use-cases__table_c43_cky_gdc}