Analytical Methods for  Infrastructure Capacity Evaluation

Kirran Priya Nookala

doi:10.36948/ijfmr.2026.v08i01.82414

Analytical Methods for Infrastructure Capacity Evaluation

Author(s)	Kirran Priya Nookala
Country	India
Abstract	Sonatype Nexus is a widely used repository management platform in DevOps and Continuous Integration/Continuous Delivery (CI/CD) environments. It is designed to efficiently store, manage, and retrieve binary artifacts while providing centralized management of build artifacts, software dependencies, and container images. By serving as a centralized repository, Nexus enables development teams to collaborate effectively and maintain a secure and reliable software supply chain. As organizations continue to expand their software development activities, a large number of artifacts are uploaded daily to multiple repositories within each Nexus instance, resulting in continuous growth in storage utilization. Managing repository storage is one of the primary responsibilities of Nexus administrators. When storage utilization exceeds the available disk capacity, the Nexus server may become unavailable, leading to interruptions in software development, build, and deployment activities that can significantly impact business operations. Although Nexus provides automated cleanup tasks for removing obsolete artifacts, these mechanisms have limitations because administrators must carefully distinguish between obsolete and actively used artifacts. Frequently accessed artifacts cannot be removed without affecting ongoing development activities, making proactive storage management a challenging task. This paper proposes a machine learning-based approach using Univariate Linear Regression Analysis to predict repository storage utilization based on historical usage patterns. The proposed model derives a regression equation from historical storage consumption data and estimates future repository growth with improved accuracy. The predicted storage utilization enables administrators to plan storage expansion, schedule cleanup activities proactively, and prevent unexpected repository outages caused by insufficient disk space. Experimental analysis demonstrates that the proposed approach provides reliable storage prediction, minimizes administrative effort, improves repository availability, and supports efficient capacity planning for enterprise-scale DevOps environments.
Keywords	Sonatype Nexus Repository Manager, NXRM, Release Repository, Snapshot Repository, Docker registry, npm repository, Maven, Nuget, LDAP, Linear Regression Analysis.
Published In	Volume 8, Issue 1, January-February 2026
Published On	2026-02-05
DOI	https://doi.org/10.36948/ijfmr.2026.v08i01.82414

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Analytical Methods for Infrastructure Capacity Evaluation

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