Capacity Planning Through Machine Learning and Statistical Analysis
Author(s): Manni Megna Nookala
Publication #: 2606040
Date of Publication: 16.01.2026
Country: India
Pages: 1-13
Published In: Volume 12 Issue 1 January-2026
DOI: https://doi.org/10.62970/IJIRCT.v12.i1.2606040
Abstract
Sonatype Nexus is a powerful repository manager widely used in DevOps and continuous integration/continuous delivery (CI/CD) pipelines. It is designed to manage, store, and retrieve binary artifacts efficiently. Nexus plays a crucial role in software development by providing centralized storage and management for build artifacts, dependencies, and containers, enabling teams to collaborate more effectively and maintain control over their software supply chain. As part of the business activity on daily basis , lots of artifacts will be uploaded to number of repositories to each nexus instance. It is administrator’s responsibility to clear the space as and when it reaches to beyond the thresh hold limit. If the admin misses to clear the space it leads to the situation to shuts down the server, which will effect the entire business. Admin can use the available automated tasks from the nexus admin tasks, but they are having some limitations on the deletion of artifacts, we need to opt only unwanted artifacts. But in the case of high usage of wanted artifacts the space will get decreased and we can’t know when the server will go down. This paper resolves this issue by providing the solution using machine learning algorithm (Linear Regression Analysis) on the usage of space by users. It will findout the regression equation for the given data , so that we can find out prediction value for each actual value. Using the regression equation we can predict the value.
Keywords: Sonatype Nexus Repository Manager, NXRM, Release Repository, Snapshot Repository, Docker registry, npm repository, Maven, Nuget, LDAP, Linear Regression Analysis.
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