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Extracting Knowledge from Kubernetes Configuration Graphs

Danl, Alforenko (2025) Extracting Knowledge from Kubernetes Configuration Graphs.

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Abstract:Kubernetes (K8s) has become the dominant platform for orchestrating con- tainerized applications, defined through declarative YAML configuration files. These containers form complex networks of dependencies, which can be modeled as graphs to enable deeper analysis. This research proposes a sys- tem for automated scraping of Kubernetes configuration files from GitHub, parsing them into graph representations, and extracting knowledge related to architectural patterns, misconfigurations, and dependencies. The goal of this research is to develop a pipeline that contributes to reliability, secu- rity, and maintainability of cloud-native systems by leveraging graph-based analysis of Kubernetes deployments
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/107592
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