The Evolution of Automation in IT Operations: From Basic Scripts to AI-Powered Solutions
DOI:
https://doi.org/10.32628/CSEIT251112198Keywords:
IT Automation, AIOps, Configuration Management, Container Orchestration, Machine LearningAbstract
The evolution of automation in IT operations represents a transformative journey from basic scripting to sophisticated AI-powered solutions, marking a fundamental shift in how organizations approach their technological infrastructure. This article explores the progression through various stages of automation maturity, examining the impact of modern automation frameworks, container orchestration technologies, and artificial intelligence applications in IT operations. The article investigates key developments in configuration management tools, workflow automation, and enterprise implementation strategies across multiple industries, including financial services, healthcare, e-commerce, and telecommunications. Through detailed examination of real-world case studies and implementation patterns, this article highlights the convergence of traditional automation approaches with emerging technologies such as machine learning, predictive analytics, and AIOps. The article encompasses both technical aspects of automation evolution and organizational considerations, including change management strategies, skill development requirements, and governance frameworks necessary for successful automation initiatives in contemporary enterprise environments.
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References
L. Vlacic et al., "Automation 5.0: The Key to Systems Intelligence and Industry 5.0," IEEE/CAA Journal of Automatica Sinica, 2024, doi: 10.1109/JAS.2024.124635. https://ieee-jas.net/en/article/doi/10.1109/JAS.2024.124635
Sumit Danghashiya, “From Manual Processes to Smart Automation: The Future of Business Operations” 2024. https://www.linkedin.com/pulse/from-manual-processes-smart-automation-future-sumit-dangashiya-hlzcf
An Ning, "An Ansible-based Distributed Application Architecture Rapid Deployment Scheme," 2023 IEEE International Conference on Electrical and Electronic Engineering (EECon), doi: 10.1109/EEBDA56825.2023.10090753. https://ieeexplore.ieee.org/document/10090753
Christopher Cowell et al., "Automating DevOps with GitLab CI/CD Pipelines: Build efficient CI/CD pipelines to verify, secure, and deploy your code using real-life examples," IEEE Computer Society, 2023, doi: 10.1109/CS-SBC-IITKGP.2022.00023. https://ieeexplore.ieee.org/document/10162814
Dylan Intorf et al., "Apache Airflow Best Practices: A practical guide to orchestrating data workflow with Apache Airflow," IEEE Xplore, Apache Airflow Best Practices. https://www.amazon.in/Apache-Airflow-Best-Practices-orchestrating-ebook/dp/B0DJNS54RR
Azam Esfijani and Margaret Tan, “TRACK G: PLATFORMS FOR SOCIAL AND COMMUNITY INVOLVEMENT/ENGAGEMENT” 2013. https://sci-hub.se/https://ieeexplore.ieee.org/document/6611314
Wen-Pin-Hsu, "Intelligent Document Recognition on Financial Process Automation." In 2020 International Symposium on VLSI Design, Automation and Test (VLSI-DAT), IEEE. https://sci-hub.se/https://ieeexplore.ieee.org/document/9196318
J. P. Bigus et al., "Information technology for healthcare transformation." IBM Journal of Research and Development, 55(5), 6:1-6:14, IEEE. https://sci-hub.se/https://ieeexplore.ieee.org/document/6032766
Afroz Alam et al., "A New Optimal Automation Strategy with Profit-based Optimization Model," 2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), doi: 10.1109/PEDES.2020.9379400. 2020. https://sci-hub.se/https://ieeexplore.ieee.org/abstract/document/9379400
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