DEVELOPMENT AND IMPLEMENTATION OF AN AUTOMATED BUILD PIPELINE MODEL FOR PRIVATE NETWORKS

Abstract

This research investigates the creation and application of Automated Build Pipelines (ABP) in private network settings with the goal of developing a model or framework that would manage semantic versioning, increase operational efficiency, and reduce downtime. In addition to identifying and analysing the risks and challenges, the research offers insights into potential roadblocks and weaknesses. A thorough framework or model is created by the discovery of knowledge gaps and restrictions to direct the evaluation, planning, and implementation of the automated build process. A conceptual framework establishes the principal characteristics of the proposed ABP. Google Sheets and Google Looker Studio are used to show how the original concept is practically implemented, taking into account the risks and obstacles that have been identified. The performance and efficacy of the used model are evaluated after a careful analysis and assessment of the data. By offering useful advice and lessons learned to companies looking to deploy automated build pipelines on private networks, the study adds to the body of knowledge. All things considered, this work contributes to the field's understanding and offers insightful advice for implementing automated build pipelines in private network environments successfully.