An approach of IT performance by automation and continuous deployment by using different tools

Authors

  • Mohd asfar computer science and engineering, NIET greater noida
  • pradeep kumar computer science and engineering, NIET greater noida
  • raj kumar goel computer science and engineering, NIET greater noida

Keywords:

Software architecture, DevOps, continuous deployment.

Abstract

this paper describes IT performance using the continuous deployment model, and presents the key factors of
effective information technology (IT) team performance in the context of DevOps and IT service management. It then
presents the development of a construct to measure IT team performance in the context of DevOps, based on three
factors, two throughput measures (lead time to deploy and deployment frequency) and a solidity measure (mean time to
recover); these correspond to EOQ variables batch size (measured as deployment frequency) and transaction cost (lead
time to deploy and mean time to recover). Based on a sample of 7,522 IT professionals worldwide, we conduct a
hierarchical cluster analysis and find that the throughput and stability measures move together, consistent with EOQ.
The analysis reveals three IT performance profiles: high, medium, and low. Further analysis shows that innovations can
be used to impact these IT performance profiles. Implications for research and practice are discussed.

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Published

2017-10-25

How to Cite

Mohd asfar, pradeep kumar, & raj kumar goel. (2017). An approach of IT performance by automation and continuous deployment by using different tools. International Journal of Advance Engineering and Research Development (IJAERD), 4(10), 219–222. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/3807

Issue

Vol. 4 No. 10 (2017): Volume 4 Issue 10 OCTOBER-2017

Section

Articles