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Journal articles on the topic 'CI/CD Automation for Medical Systems'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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1

Researcher. "INTEGRATING CLOUD TECHNOLOGIES FOR ENHANCED HEALTHCARE SYSTEMS: A COMPREHENSIVE APPROACH." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 1093–101. https://doi.org/10.5281/zenodo.14035251.

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This article comprehensively explores integrating advanced cloud technologies to revolutionize healthcare systems. It examines the synergistic implementation of Continuous Integration/Continuous Deployment (CI/CD) automation, containerization using Docker and Kubernetes, content management through Documentum, and artificial intelligence via neural networks in healthcare environments. The article highlights how this integrated approach significantly enhances productivity, reduces deployment errors, and optimizes resource management, leading to a 30% increase in productivity and a 40% reduction

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Jithendra Prasad Reddy Baswareddy. "Accelerating retail digital transformation through CI/CD automation." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 302–10. https://doi.org/10.30574/wjaets.2025.15.1.0204.

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Digital transformation initiatives in the retail sector can be significantly accelerated through CI/CD automation, supporting rapid development and deployment of retail applications. This article examines how enterprise-scale retailers implement custom CI/CD pipelines built upon open-source foundations, typically leveraging customized source code management systems, in-house continuous integration platforms based on open-source frameworks, and extended artifact repository solutions. The paper discusses deployment automation strategies that enhance velocity and consistency across complex retail

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Ravi, Chandra Thota. "Cloud-Native DevSecOps: Integrating Security Automation into CI/CD Pipelines." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 10, no. 6 (2024): 1–19. https://doi.org/10.5281/zenodo.15036934.

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As software has become deployed more rapidly in the current fast pace of software development, security has become important, particularly in cloud-native environments where CI/CD pipelines play an important role in operations. Many ways we use to secure traditional systems do not keep up with the fluidity and the fact that they are automated in modern DevOps workflows. As a result, DevSecOps—combining security with the DevOps process—has become the key strategy to maintain the software's security while retaining speed and agility. This article discusses how security automation can

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Faqih, Adam Rafif, Alif Taufiqurrahman, Jati H. Husen, and Mira Kania Sabariah. "Empirical Analysis of CI/CD Tools Usage in GitHub Actions Workflows." Journal of Informatics and Web Engineering 3, no. 2 (2024): 251–61. http://dx.doi.org/10.33093/jiwe.2024.3.2.18.

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As software systems grow larger and more complex, with rapidly changing requirements, manually managing code integration, testing, and deployment becomes extremely challenging. Continuous Integration and Continuous Deployment (CI/CD) practices and tools have emerged to help automate these processes. This research explores the usage of different categories of CI/CD tools within GitHub Actions workflow configurations across GitHub repositories. The five-tool categories analyzed are Version Control Management, Static Code Analysis, Build Automation, Test Automation, and CI/CD Servers. The data us

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Neelapu, Mohnish. "Comparative Study of Testing Tools: Selenium vs. Appium for Web and Mobile Applications." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–6. https://doi.org/10.55041/isjem01401.

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Software testing stands as an essential requirement to verify application reliability together with maintaining performance while guaranteeing security. Automation testing has become critical because of rising web and mobile application complexity so developers require it for performance and scalability. Web application testing depends on Selenium alongside Appium which serves as the framework for mobile application testing. Selenium operates web browsers to conduct functional and regression tests while Appium enables testing of mobile applications across Android and iOS systems. The research

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Medvedev, Denis, and Konstantin Aksyonov. "The Development of a Simulation Model for Assessing the CI/CD Pipeline Quality in the Development of Information Systems Based on a Multi-Agent Approach." MATEC Web of Conferences 346 (2021): 03095. http://dx.doi.org/10.1051/matecconf/202134603095.

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The need for the development of fast and efficient software requires the automation during the build, test and release stages. Thus, a methodology of the continuous integration and continuous delivery (CI/CD) emerges which using a continuous integration server which makes easier automatical build, test, and package of the new feature settings. Poor understanding and execution of CI/CD operations can slow down and even stop the pace of a software project. Many bottlenecks in the CI/CD pipeline can arise from misconfiguration, in other words, an inadequate level of automation, inappropriate agen

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Sumit, Lad. "ENHANCING CI/CD PIPELINES WITH AI: ADVANCED TEST AUTOMATION, MONITORING AND ALERTS." INTERNATIONAL JOURNAL OF PROGRESSIVE RESEARCH IN ENGINEERING MANAGEMENT AND SCIENCE (IJPREMS) 04, no. 09 (2024): 453–56. https://doi.org/10.5281/zenodo.13846422.

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This paper explores the role of AI to enhance the software development life-cycle particularly as it relates to ContinuousIntegration (CI) and Continuous Delivery (CD).This paper explores how AI can be used to enhance the use of test automation, monitoring and alarms to ensure highlyreliable CI/CD pipelines and software development. It explores how AI can add value to ensure more reliable andproactive response to failed tests, performance issues, and critical failures in software systems. The paper dives intocurrent methodologies, best practices and challenges and how to implement AI-driven mo

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Ratnangi, Nirek. "Impact of Continuous Integration and Continuous Deployment (CI/CD) on Software Quality and Delivery Speed in Linux Systems." European Journal of Advances in Engineering and Technology 6, no. 8 (2019): 95–99. https://doi.org/10.5281/zenodo.13919415.

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Continuous Integration (CI) and Continuous Deployment (CD) have become pivotal processes in modern software development, aiming to enhance software quality and expedite delivery. By evaluating case studies, reviewing literature, and analyzing industry reports, we explore how CI/CD processes enable automated testing, frequent code integration, and rapid deployment. Furthermore, we assess how these practices affect key metrics such as defect detection, time to market, and system stability in Linux environments, where open-source software development practices dominate. The findings highlight tha

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Ishwar, Bansal. "Automating Scalable and Secure Enterprise Applications with Full-Stack Java: CI/CD Integration with Canary Testing." Applied Science and Engineering Journal for Advanced Research 4, no. 3 (2025): 26–31. https://doi.org/10.5281/zenodo.15590008.

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Focusing on the integration of Continuous Integration and Continuous Deployment (CI/CD) pipelines with canary testing techniques, this paper investigated the automation of scalable and secure enterprise systems created with full-stack Java. The study looked at changes in deployment frequency, system performance, dependability, and security posture by means of a thorough DevOps architecture. Apart from a notable drop in security vulnerabilities, the results showed notable improvements in deployment efficiency, less downtime, and quicker recovery times. By allowing incremental rollouts and early

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Kisina, Denis, Oyinomomo-emi Emmanuel Akpe, Samuel Owoade, Bright Chibunna Ubanadu, Toluwase Peter Gbenle, and Oluwasanmi Segun Adanigbo. "Advances in CI/CD Pipeline Resilience for Airline Reservation and Customer Experience Systems." International Journal of Multidisciplinary Research and Growth Evaluation 4, no. 1 (2023): 1254–61. https://doi.org/10.54660/.ijmrge.2023.3.1.1254-1261.

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This paper explores the advancements in Continuous Integration (CI) and Continuous Deployment (CD) pipeline resilience, with a particular focus on their application within the airline industry. The critical need for resilient CI/CD pipelines in airline reservation and customer experience systems is highlighted, emphasizing the role of these systems in managing complex, real-time data and delivering seamless customer interactions. The paper discusses key technological tools and strategies such as automation techniques (e.g., canary deployments and blue-green deployments), load balancing, and re

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Hyun, Giwoo, Jiwon Oak, Donghoon Kim, and Kunwoo Kim. "The Impact of an Automation System Built with Jenkins on the Efficiency of Container-Based System Deployment." Sensors 24, no. 18 (2024): 6002. http://dx.doi.org/10.3390/s24186002.

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This paper evaluated deployment efficiency by comparing manual deployment with automated deployment through a CI/CD pipeline using Jenkins. This study involved moving from a manual deployment process to an automated system using Jenkins and experimenting with both deployment methods in a real-world environment. The results showed that the automated deployment system significantly reduced the deployment time compared to manual deployment and significantly reduced the error rate. Manual deployment required human intervention at each step, making it time-consuming and prone to mistakes, while aut

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Sarathe Krisshnan Jutoo Vijayaraghavan. "Autonomous CI/CD Pipelines: The Future of Software Development Automation." Global Journal of Engineering and Technology Advances 23, no. 1 (2025): 363–69. https://doi.org/10.30574/gjeta.2025.23.1.0126.

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Autonomous CI/CD pipelines represent a transformative advancement in software delivery, leveraging artificial intelligence and machine learning to create self-sufficient deployment infrastructures. These next-generation pipelines minimize manual intervention through intelligent components that analyze historical data, predict failures, optimize resource allocation, and automatically remediate issues. The integration of these capabilities delivers substantial improvements across key performance metrics, including deployment frequency, lead time for changes, and system reliability. Organizations

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Babenko, Viktoriia, Valentyna Tkachenko, and Iryna Klymenko. "CI/CD integration tools for automated code deployment and verification for training purposes." Information, Computing and Intelligent systems, no. 5 (December 26, 2024): 172–85. https://doi.org/10.20535/2786-8729.5.2024.318795.

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The article is devoted to the study and application of modern tools for Continuous Integration and Continuous Deployment (CI/CD) in the educational field. Automating the processes of software deployment and testing is a relevant task for both improving the educational process and developing DevOps skills among students. Significant attention is given to studying the core principles of CI/CD, including automated testing, code quality monitoring, and integration with source code repositories. Popular CI/CD platforms such as Jenkins, GitLab CI/CD, and GitHub Actions are utilized to automate the e

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Naga Murali Krishna Koneru. "Modernizing CI/CD Pipelines: Migrating from Legacy Tools to GitLab for Enterprise Applications." International Journal of Science and Research Archive 1, no. 2 (2021): 136–56. https://doi.org/10.30574/ijsra.2021.1.2.0027.

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In today’s modern software development, CI and CD pipelines are essential tools for faster and more reliable delivery of high-quality software. Such legacy CI/CD tools perpetuate themselves, and many enterprises continue to cling to inefficient, janky, and constantly fragmented tools that default to introduce complexities in scaling and integrating with modern technologies. This paper advocates developing a modern CI/CD system with GitLab, a DevOps platform combining version control, CI/CD, monitoring, and security into a single unified platform. This paper studies the difficulties with the cu

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Drofa, Denys. "Optimizing Web Development and Deployment Efficiency: The Impact of React, MongoDB, and Jenkins in Modern Software Engineering." Asian Journal of Research in Computer Science 18, no. 4 (2025): 237–55. https://doi.org/10.9734/ajrcos/2025/v18i4617.

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A study examines how the current web technologies React and MongoDB affect development speed and system operational outcomes. The analysis investigates how React elements improve system maintainability through its component-based design in combination with MongoDB flexibility for handling dynamic data systems. The integration of Jenkins as a Continuous Integration and Continuous Deployment (CI/CD) pipeline receives analysis to evaluate deployment speed and automation as well as software reliability. Jenkins stands apart from alternative CI/CD solutions because the study demonstrates its exclus

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Karamitsos, Ioannis, Saeed Albarhami, and Charalampos Apostolopoulos. "Applying DevOps Practices of Continuous Automation for Machine Learning." Information 11, no. 7 (2020): 363. http://dx.doi.org/10.3390/info11070363.

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This paper proposes DevOps practices for machine learning application, integrating both the development and operation environment seamlessly. The machine learning processes of development and deployment during the experimentation phase may seem easy. However, if not carefully designed, deploying and using such models may lead to a complex, time-consuming approaches which may require significant and costly efforts for maintenance, improvement, and monitoring. This paper presents how to apply continuous integration (CI) and continuous delivery (CD) principles, practices, and tools so as to minim

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Kiss, Áron. "Build automation systems against CI lock-in : A comparative study of Dagger and Mage." Production Systems and Information Engineering 10, no. 3 (2022): 53–69. http://dx.doi.org/10.32968/psaie.2022.3.6.

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Vendor lock-in is a well-known phenomenon in the software industry. Strongly relying on vendor-specific implementation may cause financial and technological hardships to manufacturers and can establish monopoly situation of a vendor. With the spread of cloud-based development tools, vendor lock-in is present not only during operation, but also during development. This article provides an overview of risk types introduced to projects by vendor lock-in situation. Key factors of vendor lock-in are also identified, especially with regard to modern cloud-based CI/CD services. Later, a test software

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Preeta Pillai. "Python-driven security automation pipeline for enterprise financial reporting." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 2233–39. https://doi.org/10.30574/wjaets.2025.15.1.0473.

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This article examines the implementation of Python-driven security automation within enterprise financial reporting systems. The article highlights critical vulnerabilities in financial applications and demonstrates how Python-based automation frameworks address these challenges through modular architectures, technology integration, and advanced sanitization techniques. The article involving 70,000+ financial reports illustrate significant improvements in vulnerability detection, remediation time, and compliance achievement through CI/CD pipeline integration, task orchestration with Airflow, a

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Ossineke Chukwu Desmond. "AI-Powered DevOps: Leveraging machine intelligence for seamless CI/CD and infrastructure optimization." International Journal of Science and Research Archive 6, no. 2 (2022): 094–107. https://doi.org/10.30574/ijsra.2022.6.2.0150.

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AI integration into DevOps practices clearly assumes a giant leap forward in the effective, reliable, and even more elastic delivery of software. This work focuses on the application of artificial intelligence and machine learning in improving CI/CD practices, infrastructure, and software engineering processes. AI plays a major role in reducing the possibility of human errors and greatly improves the speed at which the development of systems is conducted thanks to the automation of activities like testing, resource tracking, and identification of abnormalities. Examples from Netflix, Google an

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Koneru, Naga Murali Krishna. "Automating CI/CD Pipelines Using Terraform and GitLab: Best Practices for Scalability and Efficiency." International Journal of Economics Finance & Management Science 10, no. 04 (2025): 23–46. https://doi.org/10.55640/ijefms/volume10issue04-03.

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Modern software development uses CI/CD pipelines to speed up software systems' delivery timelines. Most technical teams face pipeline system expansion as a critical engineering hurdle. The paper presents a detailed framework for the automation of CI/CD pipelines, which combines Terraform and GitLab specifically to achieve maximum scalability and efficiency. Organizations can create affordable and secure cloud infrastructure deployment management through a GitLab CI/CD platform integrated with Infrastructure as Code (IaC) frameworks. This allows them to manage infrastructure deployment simultan

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Koneru, Naga Murali Krishna. "Automating CI/CD Pipelines Using Terraform and GitLab: Best Practices for Scalability and Efficiency." International Journal of Computer Science & Information System 6, no. 1 (2021): 06–29. https://doi.org/10.55640/ijcsis/volume06issue01-02.

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Modern software development uses CI/CD pipelines to speed up software systems' delivery timelines. Most technical teams face pipeline system expansion as a critical engineering hurdle. The paper presents a detailed framework for the automation of CI/CD pipelines, which combines Terraform and GitLab specifically to achieve maximum scalability and efficiency. Organizations can create affordable and secure cloud infrastructure deployment management through a GitLab CI/CD platform integrated with Infrastructure as Code (IaC) frameworks. This allows them to manage infrastructure deployment simultan

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Jatinkumar Oza. "Near zero downtime transformations: automation approaches in SAP applications landscape modernizations/upgrades/cloud transformations." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 586–98. https://doi.org/10.30574/wjaets.2025.15.3.0926.

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Enterprise systems like SAP are mission-critical, and downtime during upgrades or migrations carries significant financial and operational consequences. This article explores emerging automation-centric strategies that enable zero downtime transformations in SAP landscapes, particularly for S/4HANA upgrades and cloud migrations. The strategies are categorized into technical enablers such as SUM with ZDO and nZDM, architectural patterns including dual landscape and blue-green deployments, and automation frameworks leveraging CI/CD, infrastructure as code, and AI-driven monitoring. Drawing on ca

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Azeezat Raheem, Adeola Mercy Osilaja, Ikeoluwa Kolawole, and Victor Eyo Essien. "Exploring continuous integration and deployment strategies for streamlined DevOps processes in software engineering practices." World Journal of Advanced Research and Reviews 24, no. 3 (2024): 2813–30. https://doi.org/10.30574/wjarr.2024.24.3.3988.

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Continuous Integration (CI) and Continuous Deployment (CD) have become fundamental practices in modern software engineering, driving efficiency and reliability in DevOps processes. These strategies emphasize automation, collaboration, and iterative delivery to streamline the development lifecycle, ensuring that software updates are delivered rapidly and consistently. This paper explores advanced CI/CD strategies to optimize DevOps workflows, reduce deployment risks, and enhance the agility of software engineering teams. The study begins with an overview of CI/CD principles, highlighting their

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Azeezat, Raheem, Mercy Osilaja Adeola, Kolawole Ikeoluwa, and Eyo Essien Victor. "Exploring continuous integration and deployment strategies for streamlined DevOps processes in software engineering practices." World Journal of Advanced Research and Reviews 24, no. 3 (2024): 2813–30. https://doi.org/10.5281/zenodo.15241805.

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Continuous Integration (CI) and Continuous Deployment (CD) have become fundamental practices in modern software engineering, driving efficiency and reliability in DevOps processes. These strategies emphasize automation, collaboration, and iterative delivery to streamline the development lifecycle, ensuring that software updates are delivered rapidly and consistently. This paper explores advanced CI/CD strategies to optimize DevOps workflows, reduce deployment risks, and enhance the agility of software engineering teams. The study begins with an overview of CI/CD principles, highlighting their

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Sarathe Krisshnan Jutoo Vijayaraghavan. "Security as code: Transforming DevSecOps through CI/CD Integration." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 2219–25. https://doi.org/10.30574/wjaets.2025.15.1.0446.

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Security as Code (Sac) represents a transformative approach to addressing the critical challenge of balancing rapid software delivery with robust security measures. By embedding security directly into continuous integration and continuous deployment pipelines, Sac enables organizations to automate, standardize, and scale security practices throughout the software development lifecycle. This integration transforms security from a bottleneck into an enabler of development velocity while significantly enhancing risk posture. The article explores the theoretical framework of Sac, including its fou

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Kumar, Amit, Tanishq Agarwal, and Ayushi Dwivedi. "Automating API Performance Testing with CI/CD Pipelines." Journal of Computer Science Engineering and Software Testing 10, no. 3 (2024): 43–52. http://dx.doi.org/10.46610/jocses.2024.v10i03.004.

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As software systems become more complex, APIs are critical in connecting services and applications. Ensuring that APIs perform well, especially under heavy traffic, is essential to maintaining a reliable user experience. This paper focuses on automating API performance testing within Continuous Integration and Continuous Deployment (CI/CD) pipelines. Automation helps run these tests regularly without slowing down the development process. The research examines teams' key challenges when setting up automated performance tests. These challenges include how to keep the testing fast and efficient,

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Kodamasimham Krishna. "Integrating AI and cloud computing for automated DevOps: Developing intelligent systems for continuous integration and deployment." World Journal of Advanced Research and Reviews 18, no. 3 (2023): 1618–27. http://dx.doi.org/10.30574/wjarr.2023.18.3.0686.

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Artificial intelligence has raised critical disruptions in software application development and delivery when integrated with DevOps. The Machine learning that AI enhances is used in CI and CD to provide solutions for CI and CD reliability and enhancement. In this paper, the author explains how and to what extent AI technologies enable and evolve DevOps, with an accent on the transformation of DevOps throughout the years, what AI is in terms of automation of workloads, and the connection between AI and cloud. With the help of artificial intelligence, it also describes the opportunities and thr

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Swamy, Prasadarao Velaga. "Scaling Machine Learning Model Training with CI/CD Pipelines in Cloud Environments." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 1 (2020): 1–10. https://doi.org/10.5281/zenodo.12805504.

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As machine learning (ML) continues to advance, the need for scalable, efficient, and reliable model training has become critical. Traditional approaches to ML model training often struggle to meet these demands, prompting the integration of Continuous Integration and Continuous Deployment (CI/CD) practices with cloud environments. This survey paper explores the intersection of CI/CD pipelines and cloud-based solutions in scaling ML model training. We provide a comprehensive review of the current state of CI/CD practices tailored for ML workflows, examine the benefits and offerings of cloud env

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Chandrasekhara Mokkapati, Shalu Jain, and Pandi Kirupa Gopalakrishna Pandian. "Implementing CI/CD in Retail Enterprises: Leadership Insights for Managing Multi-Billion Dollar Projects." Innovative Research Thoughts 9, no. 1 (2023): 391–405. http://dx.doi.org/10.36676/irt.v9.i1.1458.

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In the fast-paced world of retail enterprises, the adoption of Continuous Integration and Continuous Deployment (CI/CD) has become a cornerstone for driving agility, innovation, and competitive advantage. This paper explores the critical leadership insights necessary for successfully managing CI/CD implementations in multi-billion-dollar retail projects. Retail enterprises face unique challenges, including complex legacy systems, diverse technology stacks, and the need for seamless integration across global operations. These complexities require a strategic approach to CI/CD that balances tech

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Amisetty, Venkata Amarnath Rayudu. "Test Automation in HR Solutions: A Technical Deep Dive." European Journal of Computer Science and Information Technology 13, no. 32 (2025): 128–44. https://doi.org/10.37745/ejcsit.2013/vol13n32128144.

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Test automation has emerged as a cornerstone capability in modern human resource technology, enabling organizations to deliver reliable, efficient, and user-friendly systems across recruitment, learning, and broader HR domains. This technical deep dive examines how HR solution providers leverage frameworks like Cypress, WebDriver, and Appium alongside CI/CD pipelines to address complex testing challenges unique to HR systems. The integration of artificial intelligence enhances testing effectiveness through visual validation, smart element identification, and predictive failure analysis, while

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Venkata, Baladari. "Monolith to Microservices: Challenges, Best Practices, and Future Perspectives." European Journal of Advances in Engineering and Technology 8, no. 8 (2021): 123–28. https://doi.org/10.5281/zenodo.15044455.

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The adoption of microservices architecture has significantly impacted software development, offering benefits such as enhanced scalability, increased flexibility, and accelerated deployment, although it also brings about issues including intricate communication complexities, security vulnerabilities, and elevated operational burdens. This study examines the shift from monolithic to microservices architecture, focusing on significant obstacles and effective methods including API gateways, containerization, Continuous Integration and Continuous Deployment (CI/CD) pipelines, and event-driven arch

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V, Falkevych, and Lisniak A. "Optimization of Infrastructure Deployment for Multi-Frontends in Monorepo." Artificial Intelligence 30, AI.2025.30(2) (2025): 63–70. https://doi.org/10.15407/jai2025.02.063.

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Context: this study examines the optimization of CI/CD pipelines for the subsequent deployment of containerized applications in order to enhance the efficiency of multi-frontend projects within monorepo environments. Objective: the primary objective is to develop and evaluate the effectiveness of the proposed infrastructure deployment approach by implementing specialized pipeline configurations that support parallel task execution and caching mechanisms. Method: an empirical research methodology was adopted to analyze the impact of CI/CD pipeline optimization techniques on build performance an

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Palit, Romit, and Dr Saurabh Solanki. "Automation in Infrastructure Tools for New Service Integration." International Journal of Research in Humanities and Social Sciences 13, no. 3 (2025): 191–211. https://doi.org/10.63345/ijrhs.net.v13.i3.11.

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In today’s rapidly evolving technological landscape, the integration of new services demands a dynamic and resilient infrastructure that can adapt to changing business requirements with minimal disruption. Automation in infrastructure tools has emerged as a key enabler in this context, streamlining the deployment, configuration, and management processes while reducing the potential for human error. This paper examines the role of automation in facilitating new service integration, focusing on methodologies such as Infrastructure as Code (IaC), continuous integration/continuous deployment (CI/C

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Balaji, Soundararajan. "Engineering Systems for Dynamic Retraining and Deployment of AI Models." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 11, no. 2 (2023): 1–9. https://doi.org/10.5281/zenodo.15054625.

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The increasing reliance on artificial intelligence (AI) in dynamic business environments enables the adaptive model management systems to mitigate performance degradation caused by evolving data patterns, operational shifts, and market changes. Traditional retraining methods are resource-intensive and struggle to maintain consistency, prompting the need for innovative approaches such as Just-in-Time (JIT) retraining, real-time monitoring, and automated deployment pipelines. We will examine the engineering challenges of designing adaptive AI systems, including scalability, computational costs,

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Terli, Jyothi Siva Rama Krishna. "Middleware Automation and DevOps: Building Self-Healing, Intelligent Ecosystems." European Journal of Computer Science and Information Technology 13, no. 12 (2025): 85–95. https://doi.org/10.37745/ejcsit.2013/vol13n128595.

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The convergence of middleware automation and DevOps practices represents a fundamental transformation in how organizations manage distributed systems and cloud-native architectures. This transformation encompasses integrating Infrastructure-as-Code principles, event-driven CI/CD pipelines, AI-powered auto-scaling mechanisms, and enhanced observability through OpenTelemetry. Organizations implementing these advanced automation practices have achieved significant improvements in operational efficiency, system reliability, and deployment consistency. The evolution of middleware platforms, coupled

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Mokale, Mahesh. "Automated Debugging and Deployment for High-Performance Telecom Applications." International Scientific Journal of Engineering and Management 02, no. 11 (2023): 1–8. https://doi.org/10.55041/isjem00206.

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Abstract: High-performance telecom applications require efficient debugging and deployment strategies to ensure reliability, scalability, and seamless operations. These applications operate within highly complex and distributed environments where even minor failures or inefficiencies can result in significant service disruptions, financial losses, and customer dissatisfaction. Given the critical role telecom applications play in enabling global communication networks, minimizing downtime, optimizing system performance, and maintaining operational continuity is a top priority for telecom servic

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Pleskanka, Nazar, Maryana Pleskanka, and Bogdan Tymoshchuk. "ANALYSIS AND DEVELOPMENT OF A PLATFORM FOR AUTOMATED SERVICES DEPLOYMENT AND MANAGEMENT." Computer Design Systems. Theory and Practice 7, no. 1 (2025): 251–60. https://doi.org/10.23939/cds2025.01.251.

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Software deployment automation plays a key role in improving the efficiency and reliability of workflows in the field of development and implementation of IT solutions. Existing services such as Jenkins, TeamCity have certain limitations, including insufficient flexibility in visualizing the history of changes, limited capabilities for managing configuration parameters, and difficulties in coordinating teamwork. Improving these aspects can significantly increase the productivity of development teams and accelerate the release of updates. The goal of the research is to develop a platform that i

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Abhiram, Reddy Peddireddy, Mathur Utkarsh, and Chaudhary Rahul. "DevOps and RPA: Transforming Supply Chain Incident Response through Automation." European Journal of Advances in Engineering and Technology 8, no. 1 (2021): 101–6. https://doi.org/10.5281/zenodo.13253365.

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This study delves into the impact of merging DevOps and Robotic Process Automation (RPA) in responding to supply chain incidents. By blending DevOps methodologies, like integration (CI) continuous deployment (CD) and Infrastructure as Code (IaC) with RPA, aspects of supply chain operations are automated and improved. The research showcases how RPA streamlines tasks such as order processing, inventory management and shipment tracking while DevOps ensures regularly updated software systems. This fusion enhances efficiency cuts costs and bolsters incident response by facilitating detection report

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Aybuyev, Abdul-Khalid A. M., and Askhab Z. Dukuzov. "DEVELOPING SCALABLE MICROSERVICES ON GO: ARCHITECTURE, PERFORMANCE, AND BEST PRACTICES." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 4/13, no. 157 (2025): 131–36. https://doi.org/10.36871/ek.up.p.r.2025.04.13.018.

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The article discusses the architectural and engineering aspects of developing scalable microservices in the Go programming language (Golang). Particular attention is paid to performance analysis, principles of organizing microservice architecture, mechanisms of interservice interaction (REST, gRPC), as well as the use of modern containerization (Docker) and orchestration (Kubernetes) tools. The best practices for ensuring fault tolerance, security and automation of CI/CD processes are presented. Monitoring, profiling and load testing tools that allow identifying and eliminating bottlenecks in

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Rohith Aitharaju. "Integrating Endpoint Security into DevSecOps: Automation and compliance at scale." International Journal of Science and Research Archive 4, no. 1 (2021): 363–72. https://doi.org/10.30574/ijsra.2021.4.1.0206.

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Since organizations are moving more quickly toward digital transformation, security needs to become a key part of software development. In this paper, we look at embedding endpoint security in DevSecOps to ensure automation, scalability and continued compliance. Traditionally, endpoints are vulnerable due to scattered ways of applying security and lengthy detection. Making use of telemetry agents, policy-as-code and automated remediation in both CI/CD and infrastructure deployment processes allows organizations to protect themselves in advance. The results highlight that combining these approa

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Amit, Gupta. "Efficient UI Test Automation: Decoupled Element Identifiers Services." European Journal of Advances in Engineering and Technology 5, no. 2 (2018): 136–41. https://doi.org/10.5281/zenodo.13253050.

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Mobile application UI test automation often encounters challenges related to the dynamic nature of UI elements and the diverse set of automation tools available. Maintaining test scripts gets difficult and expensive in situations where element identifiers are absent or are changed often. In order to overcome these difficulties, this study suggests separating element identifiers from automation scripts and providing a versatile method for defining and retrieving identifiers at runtime. Automation engineers have the ability to dynamically retrieve the relevant identifiers according to version, d

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Dasari, Hari. "Infrastructure as Code (IaC) Best Practices for Multi-Cloud Deployments in Enterprises." International journal of networks and security 05, no. 01 (2025): 174–86. https://doi.org/10.55640/ijns-05-01-10.

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As businesses increasingly adopt multi-cloud strategies to improve cost, performance, and availability, managing dispersed infrastructure across many providers becomes a crucial challenge. Infrastructure as Code (IaC) emerges as a key paradigm, allowing for automation, version control, and consistency in infrastructure provisioning and administration. This article provides a complete examination of IaC best practices for multi-cloud settings, focusing on modular architecture, tool standardization, governance, security integration, and automation via CI/CD pipelines. Terraform, AWS CloudFormati

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Satish Kumar Nalluri and Varun Teja Bathini. "Integrating Jenkins and AWS in Siemens Opcenter MES: Bridging the digital divide through modern development and deployment pipelines." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 2064–74. https://doi.org/10.30574/wjaets.2025.15.2.0767.

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The integration of Jenkins and Amazon Web Services (AWS) into Siemens Opcenter MES (Manufacturing Execution System) represents a transformative approach to modernizing industrial software deployment. As manufacturing systems evolve toward Industry 4.0, the need for agile, scalable, and automated deployment pipelines becomes critical. This paper explores how Continuous Integration and Continuous Deployment (CI/CD) methodologies, facilitated by Jenkins automation and AWS cloud infrastructure, can bridge the digital divide in traditional MES environments. We present a structured framework for aut

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Viharika Bhimanapati, Akshun Chhapola, and Shalu Jain. "Automation Strategies for Web and Mobile Applications in Media Domains." International Journal for Research Publication and Seminar 14, no. 5 (2023): 225–39. http://dx.doi.org/10.36676/jrps.v14.i5.1479.

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In the fast-paced and ever-evolving media domain, the demand for seamless user experiences across web and mobile platforms is paramount. Automation has emerged as a critical strategy to ensure the quality, reliability, and efficiency of applications in this sector. This research paper delves into the various automation strategies employed in the development and maintenance of web and mobile applications within the media industry. It explores the unique challenges posed by the dynamic nature of media content, high user engagement, and the necessity for rapid updates, all of which require robust

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Amarjeet Singh, Et al. "Microservices Container Security Orchestration Framework within Kubernetes and Docker for Business-Critical Applications within Digital Transformation." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 3 (2023): 332–36. http://dx.doi.org/10.17762/ijritcc.v11i3.9863.

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Container virtualization technology facilitates the creation of microservices-based systems through continuous integration. Container-based apps can be deployed more easily when they use orchestration systems like Kubernetes, which has become the de facto standard. It can be difficult to create effective and precise orchestration systems, nevertheless. The scheduler, a crucial orchestrator task that allocates physical resources to containers, is the subject of this article. Scheduling strategies are developed using several Quality-of-Service metrics. The CI in CI/CD stands for continuous integ

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Reagan Panguraj, Antony Ronald. "End-to-End Automation of Software Development Lifecycle (SDLC) Tools and Processes." International Journal of Multidisciplinary Research and Growth Evaluation. 2, no. 6 (2021): 438–41. https://doi.org/10.54660/.ijmrge.2021.2.6.438-441.

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The end-to-end automation approach for the Software Development Lifecycle (SDLC) now represents a fundamental solution to enhance development speed and minimize mistakes while improving productivity. Modern software development needs complete integration between stages for successful planning design development testing deployment and maintenance processes. The use of traditional manual approaches leads to delayed release schedules together with elevated mistake frequencies and elevated expenses. Software automation fights these development issues through simplified software development lifecyc

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Joshi, Satyadhar. "A Review of Generative AI and DevOps Pipelines: CI/CD, Agentic Automation, MLOps Integration, and LLMs." International Journal of Innovative Research in Computer Science and Technology 13, no. 4 (2025): 1–14. https://doi.org/10.55524/ijircst.2025.13.4.1.

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This paper presents a comprehensive review of Generative AI applications in DevOps automation, covering 50 key research works published between 2023-2025. By synthesizing insights from recent research and industry practice, this paper identifies the top terms, theories, and algorithms shaping the field and offers a forward-looking perspective on the evolution of AI-driven DevOps through 2029. We analyze the transformative impact of AI-driven solutions across the software development lifecycle, including code generation, infrastructure management, continuous integration/delivery, and Kubernetes

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Sai, Krishna Chirumamilla. "Testing at Scale: Overcoming Challenges in Automated Testing for Large-Scale Systems." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 8, no. 6 (2022): 1–15. https://doi.org/10.5281/zenodo.15087212.

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Automated testing is now one of the fundamental approaches to building confidence in software reliability, primarily in large-scale systems that consist of distributed architectures, humongous amounts of data processing, and CI/CD processes. Some issues associated with testing at scale include Test scalability, faithful reproduction of test data, environment decentralization, and effective test automation. In this paper, we shall, therefore, discuss the principal issues relating to the use of automated testing in large systems and shall further review the related literature in an effort to int

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Luchkevych, Mykhailo, Iryna Shakleina, and Oleksii Duda. "The impact of modern cloud technologies on the efficiency of DevOps processes." Scientific journal of the Ternopil national technical university 117, no. 1 (2025): 112–22. https://doi.org/10.33108/visnyk_tntu2025.01.112.

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The article investigates the impact of modern cloud technologies on the efficiency of DevOps processes, which are key to the automation, flexibility and reliability of software development. With the rapid development of information technology, cloud platforms play an important role in accelerating software product development, testing and deployment. Implementing DevOps in the cloud environment reduces the time to market, increases the stability of software systems and optimizes the use of computing resources, which is critical for modern companies. This paper discusses DevOps teams' main chal

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Middae, Vijaya lakshmi. "AI-Driven Performance Tuning of Jenkins Pipelines in Scalable DevOps Environments." International journal of networks and security 05, no. 01 (2025): 215–20. https://doi.org/10.55640/ijns-05-01-13.

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In today’s rapidly evolving software development landscape, DevOps has emerged as a vital practice to ensure faster delivery and improved collabora- tion between development and operations teams. Jenkins, a widely adopted open-source automation server, is central to Continuous Integration and Con- tinuous Deployment (CI/CD) pipelines. However, as systems scale, tradi- tional methods of pipeline optimization often fall short in maintaining per- formance and resource efficiency. This paper explores the integration of Ar- tificial Intelligence (AI) to dynamically enhance the performance of Jenkin

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