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Performance Evaluation of Conventional and Systematic IT Services Automation

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Machine Intelligence and Smart Systems

Abstract

Task automation and configuration systems have been vastly used in this rapidly growing industry of cloud computing which has increased the number of instances. In the meantime, some small- and medium-scale businesses are still using conventional methods of automation, which uses scripting languages to automate their repetitive tasks and software installations. This paper explores the evaluation and resource utilization of conventional automation, namely shell scripting with a systematic automation system (Ansible). The performance parameters of both systems in terms of automation deployment time, CPU usage, Memory usage, and network status will be evaluated. The scenario has been built using a virtualized environment with the VMware workstation hypervisor. CentOS distribution of Linux has been used for both server and client nodes in the topology. Findings and scenarios in this paper are based on real-world IT tasks that are being automated to reduce the time and make the job easily done in a working environment by an IT administrator.

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Correspondence to Said Masihullah Hashimi .

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Hashimi, S.M., Tripathi, K., Sehrawat, D. (2021). Performance Evaluation of Conventional and Systematic IT Services Automation. In: Agrawal, S., Kumar Gupta, K., H. Chan, J., Agrawal, J., Gupta, M. (eds) Machine Intelligence and Smart Systems . Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-4893-6_11

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