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Journal articles on the topic 'CD pipelines'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Dachepally, Raju. "Continuous Integration and Continuous Delivery (CI/CD) Pipelines: Best Practices for Modern Enterprises." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 05, no. 10 (2021): 1–8. https://doi.org/10.55041/ijsrem10912.

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Continuous Integration (CI) and Continuous Delivery (CD) pipelines have become indispensable for modern enterprises aiming to achieve agile and scalable software development. This paper explores best practices for designing and implementing robust CI/CD pipelines, focusing on efficiency, security, and scalability. Key strategies include automated testing, pipeline as code, and integrating security measures. The paper features diagrams, flowcharts, and pseudocode to provide actionable insights. Future trends and challenges in CI/CD adoption are also discussed. Keywords CI/CD Pipelines, Automati

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Singh, Nikhil. "CI/CD Pipeline for Web Applications." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 5218–26. http://dx.doi.org/10.22214/ijraset.2023.52867.

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Abstract: Modern organisation’s rapid pace of software development necessitates teams delivering high-quality software products faster than ever before. In order to accomplish this, software development teams are incorporating continuous integration and continuous deployment (CI/CD) methodologies into their software development processes. CI/CD pipelines are a set of practises and tools that allow teams to efficiently and reliably automate the development, testing, and deployment of software products. CI/CD pipelines have become an essential tool for teams delivering web applications at a fast

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Ponaka, Kamalakar Reddy. "NO TOUCH CODE SCANNING EXPERIENCE IN CICD PIPELINE." International Journal Of Core Engineering & Management 7, no. 5 (2023): 130–35. https://doi.org/10.5281/zenodo.14010787.

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In modern software development, continuous integration and continuous deployment (CI/CD) pipelines play a crucial role in automating the build, test, and deployment processes. Integrating code scanning tools into CI/CD pipelines is essential to ensure code quality and security. However, traditional methods of code scanning often introduce significant overhead and friction, slowing down development cycles. This white paper explores the implementation of a low-touch code scanning experience in CI/CD pipelines, highlighting strategies, best practices, and tools to achieve an efficient, automated,

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Yogeswara Reddy Avuthu. "Best practices for writing maintainable Jenkins Pipelines: A case study of large-scale projects." World Journal of Advanced Research and Reviews 7, no. 3 (2020): 327–37. http://dx.doi.org/10.30574/wjarr.2020.7.3.0235.

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Jenkins has become a cornerstone of modern DevOps practices, providing a robust platform for automating Continuous Integration and Continuous Deployment (CI/CD) pipelines. With the introduction of Pipeline as Code, Jenkins has significantly improved the flexibility and maintainability of CI/CD workflows by allowing teams to define their build, test, and deployment processes using code that can be version-controlled. However, as CI/CD pipelines scale in complexity, maintaining them effectively becomes a challenging task. Large-scale projects often face issues such as complex and error-prone syn

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Tarun, Parmar. "Implementing CI/CD in Data Engineering: Streamlining Data Pipelines for Reliable and Scalable Solutions." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 13, no. 1 (2025): 1–8. https://doi.org/10.5281/zenodo.14762684.

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Continuous Integration and Continuous Delivery (CI/CD) have become crucial practices in modern data engineering, streamlining the development and deployment of data pipelines. This study explores the implementation of CI/CD principles in data engineering, highlighting its benefits, methodologies, best practices, challenges, and future directions. By automating the building, testing, and deployment processes, the CI/CD ensures reliability, consistency, and efficiency in data pipeline development. The key steps in implementing CI/CD for data pipelines include version control, modular pipeline de

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Omoniyi Babatunde Johnson, Jeremiah Olamijuwon, Zein Samira, Olajide Soji Osundare, and Harrison Oke Ekpobimi. "Developing advanced CI/CD pipeline models for Java and Python applications: A blueprint for accelerated release cycles." Computer Science & IT Research Journal 5, no. 12 (2024): 2645–63. https://doi.org/10.51594/csitrj.v5i12.1758.

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In the fast-paced world of software development, Continuous Integration (CI) and Continuous Deployment (CD) pipelines have become essential for achieving rapid, reliable, and automated release cycles. This review presents a blueprint for developing advanced CI/CD pipeline models tailored specifically for Java and Python applications, two of the most widely used programming languages in enterprise environments. The goal is to streamline software delivery, reduce manual intervention, and enhance overall system resilience. The proposed framework includes leveraging modern CI/CD tools, such as Jen

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Myllynen, Teemu, Eunice Kamau, Sikirat Damilola Mustapha, Gideon Opeyemi Babatunde, and Anuoluwapo Collins. "Review of Advances in AI-Powered Monitoring and Diagnostics for CI/CD Pipelines." International Journal of Multidisciplinary Research and Growth Evaluation 5, no. 1 (2024): 1119–30. https://doi.org/10.54660/.ijmrge.2024.5.1.1119-1130.

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Continuous Integration and Continuous Deployment (CI/CD) pipelines are critical components of modern software development, enabling rapid delivery of reliable applications. However, ensuring the seamless operation of CI/CD pipelines remains a challenge due to the complexity of managing code changes, dependencies, and diverse testing environments. Recent advancements in artificial intelligence (AI) have introduced innovative approaches to monitoring and diagnostics within CI/CD workflows, significantly enhancing their efficiency, reliability, and resilience. This review explores the state-of-th

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Raveendra Reddy Pasala. "Data Quality as Code: Automating validation rules with declarative pipelines and CI/CD Integration." International Journal of Science and Research Archive 13, no. 2 (2024): 4224–33. https://doi.org/10.30574/ijsra.2024.13.2.2665.

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Data Quality as Code (DQaC) is an automated approach that embeds data validation rules into modern data pipelines, ensuring consistent and reliable data processing. By leveraging declarative pipelines and integrating with CI/CD frameworks, organizations can enforce quality checks at every stage of data transformation. This method enhances accuracy, consistency, and compliance, reducing risks associated with poor data quality. CI/CD tools such as GitHub Actions and Jenkins automate validation, preventing erroneous data from being deployed. Observability solutions like DataDog and Prometheus mon

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Kuriakose, Alex. "Automating Performance Degradation Detection in CI/CD Pipelines." International Journal of Science and Research (IJSR) 14, no. 4 (2025): 15–18. https://doi.org/10.21275/sr25330053612.

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Praveen, Kumar Koppanati. "Building Custom CI/CD Pipelines for Java Applications in GitLab." Journal of Scientific and Engineering Research 6, no. 6 (2019): 233–38. https://doi.org/10.5281/zenodo.14005865.

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For modern software development, especially for Java applications Continuous Integration and Continuous Deployment (CI/CD) pipelines is a vital aspect. This paper aims to provide an in-depth exploration of building custom CI/CD pipelines in GitLab specifically for Java applications. In this guide, we are going to touch upon proper ways on how you should integrate GitLab CI/CD with Java development tools and strategies for pipeline optimization towards effective testing, as well as deployment; analyze Docker methodology where environment consistency is a concern. This will emphasize the key are

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Ponaka, Kamalakar Reddy. "Shift-left approach for Vulnerability Management in SDLC." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (2024): 1–14. http://dx.doi.org/10.55041/ijsrem9417.

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Security vulnerabilities in software development can lead to severe risks if not addressed promptly. By adopting a shift-left approach and implementing gating mechanisms in Continuous Integration/Continuous Delivery (CI/CD) pipelines, organizations can mitigate the impact of high and critical vulnerabilities early in the Software Development Life Cycle (SDLC). This paper discusses a practical methodology for integrating security gates into the CI/CD pipeline to prevent the release of software with critical security flaws. Keywords —Vulnerability Management, Shift-Left Security, CI/CD Pipeline,

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Gudelli, Venkata Ramana. "Automating CI/CD Pipelines: A Comparative Study of Jenkins and Bitbucket." Australian Journal of Machine Learning Research & Applications 2, no. 1 (2022): 436–511. https://doi.org/10.5281/zenodo.15102615.

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As far as the author’s knowledge goes, Continuous Integration and Continuous Deployment (CI/CD) pipeline poses to be a very crucial component of modern software development which provides automated build, test, and deployment workflows. Through this research paper, the author dives deep into a comparative study of two widely adapted CI/CD tools, Jenkins and Bitbucket pipelines. These tools are used for evaluating the architecture, automation capabilities, scalability, integration options, and performance efficiency. Jenkins is an open-source automation server whereas Bitbucket pipeline i

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Kamalakar, Reddy Ponaka. "Maintaining Compliance Standards in Code Delivery Pipeline." Journal of Scientific and Engineering Research 9, no. 2 (2022): 175–77. https://doi.org/10.5281/zenodo.13918769.

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In modern software development, ensuring compliance throughout the code delivery pipeline is a critical aspect of organizational success. With evolving regulations and industry standards, it is essential to integrate compliance checks into CI/CD pipelines while preserving the speed and agility of development processes. This white paper outlines key strategies and best practices for implementing and maintaining compliance standards in code delivery pipelines using tools such as GitLab. Topics covered include compliance as code, access control, automated testing, security measures, audit logging

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Prayag, Ganoje. "Continuous Integration and Deployment Pipelines." Journal of Scientific and Engineering Research 7, no. 3 (2020): 324–27. https://doi.org/10.5281/zenodo.13752931.

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This research paper explores the principles and best practices of Continuous Integration (CI) and Continuous Deployment (CD) pipelines, focusing on their application in the development of medical device software. As the healthcare industry increasingly relies on software-driven medical devices, ensuring efficient and reliable software delivery is paramount. This paper examines the key components of CI/CD pipelines, discusses best practices for implementation, and presents case studies of successful CI/CD strategies in the medical device industry. The paper also addresses common challenges, pot

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Dheerendra, Yaganti. "Streamlining CI/CD in Multi-Cloud Architectures: An Empirical Analysis of Azure DevOps and GitHub Actions." Journal of Scientific and Engineering Research 9, no. 8 (2022): 171–76. https://doi.org/10.5281/zenodo.15241017.

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The growing adoption of multi-cloud strategies demands robust and flexible Continuous Integration and Continuous Deployment (CI/CD) pipelines capable of operating seamlessly across diverse cloud platforms. This paper presents a comparative study of Azure DevOps and GitHub Actions for designing and implementing CI/CD pipelines in multi-cloud environments, focusing on performance, scalability, integration capabilities, and cost efficiency. By deploying microservices to both Microsoft Azure and Amazon Web Services (AWS), we evaluate each tool’s effectiveness in managing cross-cloud workflow

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Dey, Arnab. "Automation for CI/CD Pipeline for Code Delivery with Multiple Technologies." Journal of Mathematical & Computer Applications 1, no. 3 (2022): 1–3. http://dx.doi.org/10.47363/jmca/2022(1)138.

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In contemporary software development, the use of diverse technologies is prevalent, introducing challenges in managing Continuous Integration and Continuous Delivery (CI/CD) pipelines. This white paper investigates the complexities associated with deploying code written in multiple technologies within a unified CI/CD pipeline. It proposes a comprehensive solution for effective automation to enhance agility, efficiency, and reliability in software delivery.

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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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Kartheek Medhavi Penagamuri Shriram. "Engineering efficiency through CI/CD pipeline optimization." International Journal of Science and Research Archive 14, no. 1 (2025): 908–16. https://doi.org/10.30574/ijsra.2025.14.1.0107.

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This article examines the optimization of Continuous Integration and Continuous Deployment (CI/CD) pipelines in modern software development environments, focusing on strategies to enhance build stability and execution efficiency. The article explores key challenges in pipeline implementation, including test environment inconsistencies, resource allocation issues, and build instabilities that impact development workflows. Through analysis of multiple enterprise case studies, the article presents comprehensive approaches to pipeline optimization, covering parallelization configuration, test stab

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Kisina, Denis, Oyinomomo-emi Emmanuel Akpe, Samuel Owoade, Bright Chibunna Ubanadu, Toluwase Peter Gbenle, and Oluwasanmi Segun Adanigbo. "Advances in Continuous Integration and Deployment Workflows across Multi-Team Development Pipelines." International Journal of Multidisciplinary Research and Growth Evaluation 2, no. 1 (2022): 990–94. https://doi.org/10.54660/.ijmrge.2022.2.1.990-994.

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This paper explores the advances in Continuous Integration and Deployment (CI/CD) workflows, with a focus on optimizing practices across multi-team software development pipelines. It begins by contextualizing CI/CD as a cornerstone of modern development, enabling faster releases, improved collaboration, and increased software reliability. The discussion traces the historical evolution of CI/CD from its early iterations to its current state, highlighting the adoption of tools like Jenkins, GitLab, and containerization technologies. It identifies the core benefits of CI/CD—such as automation, ra

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Vieira, Diogo, Miguel Oliveira, Rafael Arrais, and Pedro Melo. "Application of Cloud Simulation Techniques for Robotic Software Validation." Sensors 25, no. 6 (2025): 1693. https://doi.org/10.3390/s25061693.

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Continuous Integration and Continuous Deployment are known methodologies for software development that increase the overall quality of the development process. Several robotic software repositories make use of CI/CD tools as an aid to development. However, very few CI pipelines take advantage of using cloud computing to run simulations. Here, a CI pipeline is proposed that takes advantage of such features, applied to the development of ATOM, a ROS-based application capable of carrying out the calibration of generalized robotic systems. The proposed pipeline uses GitHub Actions as a CI/CD engin

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Vivek, Jain. "Continuous Testing in CI/CD Pipelines." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 9, no. 1 (2023): 1–7. https://doi.org/10.5281/zenodo.14883221.

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The rapid evolution of software development methodologies has placed increasing emphasis on the need for efficiency, reliability, and speed in delivering high-quality applications. Continuous Integration and Continuous Deployment (CI/CD) have become fundamental in modern DevOps practices, enabling seamless and frequent software releases. At the heart of this automation-driven approach lies Continuous Testing (CT), a critical process that ensures software quality by verifying each code change before deployment. Unlike traditional testing methods that occur later in the development lifecycle, Co

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Sudheer Obbu. "Building a Robust CI/CD Pipeline for AI-Powered Cloud Applications." Journal of Computer Science and Technology Studies 7, no. 3 (2025): 215–25. https://doi.org/10.32996/jcsts.2025.7.3.25.

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The deployment of AI applications in cloud environments presents unique challenges that traditional CI/CD pipelines fail to address, particularly in model versioning, data quality management, and system integration. This paper presents a comprehensive framework for building AI-specific CI/CD pipelines that effectively bridge these gaps. Through empirical analysis of successful implementations, we demonstrate how specialized pipeline architectures incorporating automated testing, intelligent resource allocation, and continuous monitoring can reduce deployment incidents by 37% while improving mo

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SWAMY, PRASADARAO VELAGA. "IMPLEMENTING CI/CD PIPELINES FOR MACHINE LEARNING MODELS: BEST PRACTICES AND CHALLENGES." International Journal of Innovative Research and Creative Technology 2, no. 5 (2016): 1–10. https://doi.org/10.5281/zenodo.12805415.

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Continuous Integration (CI) and Continuous Deployment/Delivery (CD) practices have become indispensable in modern machine learning (ML) pipelines, aiming to streamline the development, testing, and deployment of ML models. This review paper explores best practices, challenges, and solutions in implementing CI/CD pipelines specifically tailored for ML. Key areas addressed include modular pipeline design for flexibility and reusability, automated data validation to ensure data quality, strategies for reproducibility in experiments, scalability considerations for handling large datasets and compl

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Свінцицька, Олександра Миколаївна, та Ігор Васильович Пулеко. "Інтеграція Jira, Bitbucket та Sourcetree в системі управління ІТ-проєктами". Технічна інженерія, № 2(92) (29 листопада 2023): 102–8. http://dx.doi.org/10.26642/ten-2023-2(92)-102-108.

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У статті розглядаються інструменти Atlassian, такі як Jira та Bitbucket в інтеграції з Sourcetree в контексті налаштування автоматизації процесу CI/CD-проєкту вебдодатка. Проведені дослідження показують, що саме така інтеграція відрізняється простотою використання та конфігурацією, що забезпечує інтуїтивний спосіб організації проєктів, управління задачами та налаштування процесу CI/CD в системі управління ІТ-проєктами. Метою цього дослідження є підвищення ефективності управління, комунікації та співпраці між різними командами розробників, тестувальників та проектних менеджерів на основі технол

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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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Bhosale, Pradeep. "A Comprehensive Guide to Secure Build Pipelines with Continuous Scanning." International Scientific Journal of Engineering and Management 04, no. 01 (2025): 1–6. https://doi.org/10.55041/isjem00438.

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As modern software engineering practices embrace faster release cycles and agile development methodologies, ensuring that security keeps pace has become a critical challenge. Traditional security reviews conducted at the end of the development lifecycle are no longer adequate. Continuous Integration/Continuous Delivery (CI/CD) pipelines and “shift-left” principles have given rise to continuous security scanning integrating security checks directly into the build and deployment processes. This approach not only detects vulnerabilities and misconfigurations earlier but also reduces remediation c

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Kiss, Áron. "An explorative analysis of managed CI/CD usage among open-source C/C++ projects." Production Systems and Information Engineering 10, no. 3 (2022): 16–25. http://dx.doi.org/10.32968/psaie.2022.3.2.

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CI/CD is a common practice in software projects today, because it provides a higher level of reliability and safety, especially in the case of dynamically typed script languages. Several studies have examined questions about the effects of using CI/CD pipelines in general. This paper presents, how projects are written primarily in one of the mature C and C++ programming languages adapt to the emerging CI/CD trend. What proportion of these projects are using a CI/CD pipeline? Which managed CI/CD services are typically used in these projects? How early are the CI/CD approach adopted? Is project

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Koneru, Naga Murali Krishna. "Optimizing CI/CD Pipelines for Multi-Cloud Environments: Strategies for AWS and Azure Integration." Eastasouth Journal of Information System and Computer Science 2, no. 03 (2025): 288–310. https://doi.org/10.58812/esiscs.v2i03.534.

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CI/CD pipelines are essential for modern software development to speed up application delivery and ensure reliability. However, organizations experience considerable management difficulties when they operate Continuous Integration and Deployment workflows between AWS and Azure. The research discusses multiple approaches to optimizing CI/CD pipelines and demonstrates their integration between AWS and Azure systems. The complete implementation guidelines within the method include selecting tools and best practices along with the necessary architectural elements to construct secure, scalable, and

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Malipeddi, Anil Kumar, and Sreekanth Pasunuru. "Securing DevOps CI/CD pipelines with Agent-Based and Agentless Solutions." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–7. https://doi.org/10.55041/isjem01319.

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As organizations increasingly adopt containerized applications and Continuous Integration/Continuous Deployment (CI/CD) pipelines, managing and securing secrets becomes critical to maintaining robust security. CI/CD pipelines are critical to modern software development, enabling rapid delivery of software updates. However, these pipelines often handle sensitive secrets such as credentials, API keys, and tokens, making them an attractive target for adversaries. This paper explores two distinct approaches to secrets management in DevOps environments: agent- based solutions, such as CyberArk Cred

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Pant, Deepak. "EduDevOps : The Ultimate CI/CD Corporate Devops Pipeline Project." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47302.

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Abstract -The accelerated pace of digital transformation has heightened the requirement for efficient, scalable, and reliable software delivery practices. Legacy software development and deployment pipelines are typically inefficient owing to manual interventions, siloed teams, and constraints in scalability. This research presents a comprehensive DevOps Capstone Project that takes aim at conceptualizing and executing an enterprise-scale Continuous Integration and Continuous Deployment (CI/CD) pipeline. By utilizing Docker, Kubernetes, Terraform, and other automated tools, the project addresse

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Srinivas, Adilapuram. "GitHub Actions vs. Jenkins: Choosing the Optimal CI/CD Pipeline for your GCP Ecosystem." European Journal of Advances in Engineering and Technology 10, no. 3 (2023): 105–9. https://doi.org/10.5281/zenodo.14575690.

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GitHub Actions and Jenkins are both Continuous Integration/Continuous Delivery (CI/CD) tools that can create CI/CD pipelines in various environments and ecosystems, including the Google Cloud Platform (GCP). Jenkins is an open-source, older, and more comprehensive tool requiring significant skills and effort. GitHub Actions is simpler and closely tied to the GitHub platform. This article compares the two tools in ten dimensions: workflow definition and configuration, scalability and performance, authentication, security and monitoring, cost management, community, ecosystem and plugin support,

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Sekhar Emmanni, Phani. "Implementing CI / CD Pipelines for Enhanced Efficiency in IT Projects." International Journal of Science and Research (IJSR) 9, no. 9 (2020): 1616–19. http://dx.doi.org/10.21275/sr24402001528.

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Bollineni, Satyadeepak. "Integrating Databricks with CI/CD Pipelines for Continuous Data Engineering." International Journal of Science and Research (IJSR) 13, no. 9 (2024): 733–38. http://dx.doi.org/10.21275/sr24911222029.

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Vivek, Prasanna Prabu. "CI/CD in a Multi-Cloud World: Challenges and Solutions." International Journal of Leading Research Publication 6, no. 3 (2025): 1–8. https://doi.org/10.5281/zenodo.15154849.

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Continuous Integration and Continuous Deployment (CI/CD) have become critical components of modern software development lifecycles, enabling rapid delivery, iterative development, and operational efficiency. As enterprises increasingly adopt multi-cloud strategies - leveraging multiple public and private cloud platforms such as AWS, Azure, Google Cloud, and on-premise infrastructure - the complexity of implementing and managing CI/CD pipelines across heterogeneous environments grows significantly. These challenges include inconsistent tooling, integration friction, data sovereignty, latency va

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Nagaraju Thallapally. "Implementing continuous integration and continuous deployment (CI/CD) pipelines." International Journal of Science and Research Archive 3, no. 2 (2021): 248–53. https://doi.org/10.30574/ijsra.2021.3.2.0073.

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Continuous Integration (CI) and Continuous Deployment (CD) are fundamentals of today’s software development to deliver quality code, deliver faster, and reduce the cost of deployment. Automation of integration and deployment helps teams find the faults before they are found and eliminate manual effort during the development lifecycle with CI/CD pipelines. This article talks about the main parts of CI/CD pipelines, their benefits, best practices, and the tools available to help them. We also cover common organizational barriers to CI/CD implementation and give you solutions for how to overcome

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Samuel Jesupelumi Owoade, Abel Uzoka, Joshua Idowu Akerele, and Pascal Ugochukwu Ojukwu. "Cloud-based compliance and data security solutions in financial applications using CI/CD pipelines." World Journal of Engineering and Technology Research 3, no. 2 (2024): 011–21. http://dx.doi.org/10.53346/wjetr.2024.3.2.0059.

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In the fast-evolving landscape of financial services, data security and regulatory compliance are critical challenges that cloud-based solutions can address effectively. This paper explores the implementation of cloud-based compliance and data security solutions in financial applications, with a specific focus on using Continuous Integration and Continuous Deployment (CI/CD) pipelines. By integrating CI/CD pipelines, financial institutions can streamline deployment processes, ensuring rapid delivery while maintaining compliance with regulatory frameworks such as GDPR, PCI-DSS, and SOC 2. The C

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Koneru, Naga Murali Krishna. "The Role of GitLab Runners in CI/CD Pipelines: Configuring EC2, Docker, and Kubernetes Build Environments." Eastasouth Journal of Information System and Computer Science 2, no. 03 (2025): 246–71. https://doi.org/10.58812/esiscs.v2i03.529.

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This research studies GitLab Runners optimization in CI/CD pipelines across the EC2, Docker, and Kubernetes environment configurations. It shows that such key strategies for enhancing build performance and resource utilization would reduce build time by 65 percent and resource costs by 40 percent. Practical recommendations for configuring runners to achieve optimal efficiency are presented in the context of analyzing 200 enterprise pipelines. The key optimization techniques are autoscaling based on real-time metrics, advanced caching to minimize the rebuilds, and tuning the resource allocation

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Gangadhar Chalapaka. "Scaling Distributed CI/CD Pipelines for High-Throughput Engineering Teams: Architecture, Optimization, and Developer Experience." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 2015–25. https://doi.org/10.32628/cseit23112564.

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This article comprehensively analyzes strategies and architectures for scaling continuous integration and continuous delivery (CI/CD) pipelines to support high-throughput engineering teams. As organizations grow from dozens to hundreds or thousands of developers, traditional pipeline architectures often become bottlenecks that impede development velocity and increase infrastructure costs. The article examines the evolution from centralized to distributed CI/CD models, highlighting how cloud-native technologies, Kubernetes orchestration, and ephemeral compute resources enable linear scaling cap

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Dhaliwal, Amarjot Singh. "Artificial Intelligence in Managing Artifacts and Binaries in CI/CD." Journal of Artificial Intelligence & Cloud Computing 1, no. 1 (2022): 1–3. http://dx.doi.org/10.47363/jaicc/2022(1)340.

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In contemporary software development, Continuous Integration (CI) and Continuous Deployment (CD) have become essential practices for boosting productivity, ensuring high code quality, and accelerating delivery times. With the rising complexity of software projects, effectively managing artifacts and binaries within the CI/CD pipeline is increasingly important. Leveraging Artificial Intelligence (AI) has proven to be a game-changer in this domain, as it can significantly enhance the efficiency, accuracy, and reliability of these processes. This paper delves into the role of AI in optimizing the

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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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Akilnath, Bodipudi. "Integrating Vulnerability Scanning with Continuous Integration/Continuous Deployment (CI/CD) Pipelines." European Journal of Advances in Engineering and Technology 9, no. 2 (2022): 49–55. https://doi.org/10.5281/zenodo.13622978.

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In the era of DevOps, the integration of Continuous Integration and Continuous Deployment (CI/CD) pipelines has revolutionized the software development lifecycle, ensuring rapid and reliable delivery of applications. However, this accelerated development pace introduces significant security challenges, particularly in maintaining the security posture of local servers. This paper investigates the integration of vulnerability scanning into CI/CD pipelines, aiming to enhance the security of applications and underlying infrastructure throughout the development process. We explore various vulnerabi

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Damarapati, Abhinav. "CI/CD Best Practices: Building Reliable Pipelines." European Journal of Computer Science and Information Technology 13, no. 10 (2025): 1–10. https://doi.org/10.37745/ejcsit.2013/vol13n10110.

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D'yachenko, Nikita, and Andrey Zabrodin. "Automatic Generation of CI/CD Pipelines Based on Project Metadata: A New Approach to Accelerating Software Development." Intellectual Technologies on Transport, no. 1 (March 24, 2025): 74–82. https://doi.org/10.20295/2413-2527-2025-141-74-82.

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The article addresses the issue of automating the configuration processes of CI/CD pipelines for software development and deployment. The authors analyze the existing challenges of manual configuration and propose an innovative approach based on utilizing project metadata for automatic pipeline generation. Purpose: to develop a method for automatic pipeline generation using metadata and to assess the impact of this approach on software development within CI/CD practices. To achieve this goal, a service implementing the proposed approach has been developed. Results: to demonstrate that automati

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Divya Kodi. "Efficient CI/CD Strategies: Integrating Git with automated testing and deployment." World Journal of Advanced Research and Reviews 20, no. 2 (2023): 1517–30. https://doi.org/10.30574/wjarr.2023.20.2.2363.

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Continuous Integration( CI) and Continuous Deployment (CD) allow prompt delivery of quality software with lesser disruption between development teams. With this simple yet effective Process, Git is a superb tool; the utility combination of Git with some YAML CI/CD templates makes us a better CI/CD pipeline. Keywords: Continuous integration and delivery, Continuous integration and delivery with Git, Automated testing and deployment, Lean continuous integration and delivery, Agile software development 1. Introduction Continuous Integration (CI) and Continuous Delivery (CD) are two of the most vi

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Walia, Anuradha, and Abhishek Kartik Nandyala. "Building Resilient CI/CD Pipelines: Tools and Techniques for Enhanced Automation." International Journal of Science and Research (IJSR) 14, no. 2 (2025): 1020–26. https://doi.org/10.21275/sr241230210341.

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Venkata Amarnath Rayudu Amisetty. "AI-driven mobile and web automation: The CI/CD integration revolution." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 3554–62. https://doi.org/10.30574/wjarr.2025.26.2.2039.

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Artificial intelligence has fundamentally transformed mobile and web automation practices when integrated with modern CI/CD pipelines, creating unprecedented efficiency gains throughout the software development lifecycle. This technical article examines cutting-edge advancements in self-healing test frameworks powered by neural networks that autonomously repair broken test scripts while maintaining exceptional recognition rates across dynamically changing interfaces. The integration of Jenkins within cloud environments enables remarkable scalability improvements through containerized infrastru

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Yogeswara, Reddy Avuthu. "Balancing Speed and Security in DevOps Pipelines." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 5, no. 1 (2019): 1–8. https://doi.org/10.5281/zenodo.14183889.

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The rapid adoption of DevOps practices has trans- formed software development by enabling frequent deploy- ments through Continuous Integration and Continuous Delivery (CI/CD) pipelines. However, achieving high deployment speed often introduces security risks, as faster releases reduce the time available for thorough testing and auditing. This paper investigates the inherent tension between speed and security in DevOps pipelines, identifying common challenges such as vulnerabilities slipping through rapid deployments, fragmented toolchains, and insufficient risk assessment.To address these cha

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Researcher. "SECURING CI/CD PIPELINES: STRATEGIES FOR MITIGATING RISKS IN MODERN SOFTWARE DELIVERY." International Journal of Engineering and Technology Research (IJETR) 9, no. 2 (2024): 1–9. https://doi.org/10.5281/zenodo.13365012.

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This comprehensive article explores the critical challenge of securing Continuous Integration and Continuous Deployment (CI/CD) pipelines in modern software development. It addresses the common security threats faced by organizations, including credential leaks, supply chain attacks, and unauthorized access, while offering actionable strategies to mitigate these risks. The paper delves into best practices for enhancing CI/CD security, covering crucial aspects such as secret management, encryption techniques, secure CI/CD tools, immutable infrastructure, and comprehensive security testing metho

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Swamy, Prasadarao Velaga. "Integrating Data Versioning and Management into CI/CD Pipelines for Machine Learning." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 9, no. 1 (2021): 1–7. https://doi.org/10.5281/zenodo.12805518.

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The rapid evolution and widespread adoption of machine learning (ML) applications have underscored the critical importance of data management practices that ensure reproducibility, reliability, and scalability in model development and deployment. Integrating data versioning and management into Continuous Integration and Continuous Deployment (CI/CD) pipelines for ML represents a pivotal strategy to address these challenges. This survey paper explores the significance of data versioning in CI/CD pipelines, examining key benefits such as enhanced reproducibility of experimental results, effectiv

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