Network Data Monitoring Using Third Party Services and Migration of Services to Local Observability Platforms

My task during my internship with GEICO was migrating its network management devices to Splunk, but I had no way to know what portion of the devices had already been successfully moved. The way to solve this problem was to display a gauge percentage which would compare the number of present devices in Splunk to the ones that already existed in the third-party services, Kentik and Netbrains. This required my team to collect metadata from all service providers about our network devices and conduct rigorous validation to ensure that the correct devices had been moved. After the project was completed, we determined that only about 40 percent of the migration had been completed, but this metric provided lots of insight into additional work needed. From this point in the pipeline, the devices are manually being sent into Splunk, so future work on this project would expand to automate the process and validation of network management.

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Publication Details

Journal
Libra
Published
2024-12-20
DOI
https://doi.org/10.18130/6qvq-2d34
Primary Topic
Mobile Agent-Based Network Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Network Data Monitoring Using Third Party Services and Migration of Services to Local Observability Platforms

Libra
Mobile Agent-Based Network Management
article

Network Data Monitoring Using Third Party Services and Migration of Services to Local Observability Platforms

article en

Abstract

My task during my internship with GEICO was migrating its network management devices to Splunk, but I had no way to know what portion of the devices had already been successfully moved. The way to solve this problem was to display a gauge percentage which would compare the number of present devices in Splunk to the ones that already existed in the third-party services, Kentik and Netbrains. This required my team to collect metadata from all service providers about our network devices and conduct rigorous validation to ensure that the correct devices had been moved. After the project was completed, we determined that only about 40 percent of the migration had been completed, but this metric provided lots of insight into additional work needed. From this point in the pipeline, the devices are manually being sent into Splunk, so future work on this project would expand to automate the process and validation of network management.

Libra
University of Virginia (US)
Reduced inequalities
Openalex Percentile: Top 53%
Mobile Agent-Based Network Management
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