Enterprise Linux Administration at Scale: Strategies for Efficient Installation, Migration, Performance Optimization, and Production Support

Authors: Satya Nanda Vara Prasad Kanchumarthi

DOI: https://doi.org/10.37082/IJIRMPS.v13.i5.233066

Short DOI: https://doi.org/

Country: United States

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Abstract: This paper aims to develop a structured framework for managing large scale Enterprise Linux environments. It focuses on reducing operational friction during installation, migration, performance tuning, and ongoing production support while maintaining security and compliance.
Design/methodology/approach
A mixed method approach combines a systematic literature review of 20 peer reviewed sources a case study analysis of three Fortune 500 companies, and a quantitative benchmarking experiment comparing automated deployment tools (Foreman, Uyuni, Red Hat Satellite) across 1,000 virtual nodes.
Findings
Automated installation reduces mean time to provision (MTTP) by 78% compared to manual methods. Phased migration with containerisation (Podman/Docker) lowers downtime by 62%. Performance optimisation based on real time bpftrace and eBPF monitoring improves throughput by 34%. Production support benefits from centralised logging and AI driven root cause analysis.
Practical implications
Organisations can adopt the proposed four stage maturity model to scale from 50 to 10,000+ Linux servers. The framework reduces total cost of ownership (TCO) by up to 40% and improves mean time to recovery (MTTR) by 55%.
Originality/value
This is the first study to integrate installation, migration, performance, and production support into a single scalable administration model for Enterprise Linux. It provides empirical benchmarks and an open source toolchain recommendation.

Keywords: Enterprise Linux, large scale administration, automated installation, live migration, performance optimisation, production support, Red Hat Enterprise Linux (RHEL), SUSE Linux Enterprise Server (SLES), eBPF, infrastructure as code (IaC), Ansible, Puppet, kernel tuning, high availability, disaster recovery.

Paper Id: 233066

Published On: 2025-09-05

Published In: Volume 13, Issue 5, September-October 2025

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