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The AIOps topology based correlations to meet business expectations and provide a precise justification for the future topological correlation groups. The existing topological correlations that are initiated by various resource groups will correlate alerts from any of resources within the resource group irrespective to resource alert state and their contiguous network connectivity.
The business need & customer expectations for the current topology correlations should enhance its algorithm to have contiguous adjacency topological correlations. Such correlations will give lower fault tolerance and higher accuracy for an incident ticket, easy decision making in auto assign or closed loop automation.
The contiguous correlations will support end users in target scope network insights, cohesive network relationships, incident driven correlations, precise probable cause analysis scenarios and point-to-point network connections.
The contiguous correlations must create smaller groups of correlation alerts having continuous relationship among the correlated resources in the small groups, each resource in the group should have alert(s) on its adjacent resource.
These small groups under the same resource group might have super correlation like related patterns or scope to merge these small groups under same/different resource groups. In such case we give value-add for the end-users with a justification.
The contiguous correlations along with the configurable template-based correlation windows will give more robust and precise correlations among the alerts to meet customer expectations specially in creating resources group with specific network behavior models.
Idea priority | Urgent |
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