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Artykuły w czasopismach na temat „CD pipeline”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

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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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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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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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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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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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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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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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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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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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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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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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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13

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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14

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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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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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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Ho-Dac, Hung, and Van-Len Vo. "An Approach to Enhance CI/CD Pipeline with Open-Source Security Tools." European Modern Studies Journal 8, no. 3 (2024): 408–13. http://dx.doi.org/10.59573/emsj.8(3).2024.30.

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Continuous Integration (CI) and Continuous Deployment (CD) are important aspects in software engineering today. In modern software production organizational models, CI/CD pipeline has become a mandatory element to improve speed and reduce team effort in developing, integrating, and deploying. In the context of increasing information security risks, deploying security tools for the CI/CD pipeline has become an inevitable trend. Deploying information security tools throughout the pipeline according to the "Shift Left" philosophy will help detect information security issues early for timely handl

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Sachin, R. Doddaguni, R. Rohith, Asif S. Salman, and M. N. Manas. "Understanding SDLC using CI/CD pipeline." International Journal of Soft Computing and Engineering (IJSCE) 9, no. 6 (2020): 22–25. https://doi.org/10.35940/ijsce.F3405.059620.

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Development of complex and quality software necessitates the use of a development model, so that the development process is efficient, reliable and faster. Software development life cycle (SDLC) is a well-defined and wellorganized process used to plan, develop, deploy and maintain high quality software systems. DevOps is one recent addition to SDLC that ensures that the development and operations team collaborate to accelerate the deployment and delivery of higher quality software products. This paper throws a light on how development processes are accelerated using DevOps tactics like continu

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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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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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Patole, Chinmay B., Ayush Sankhe, Sohan Patil, Nihar R. Patil, and Dr Suvarna Pansambal. "AWS TECHNOLOGY: The Ultimate CI/CD Devops Pipeline Technology with the Help of Jenkins." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–7. https://doi.org/10.55041/ijsrem43934.

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A CI/CD pipeline is an automated framework that coordinating, tests, and conveys code changes ceaselessly, allowing for quicker and more solid updates to applications. A Continuous Integration/Continuous Deployment (CI/CD) pipeline utilizing Jenkins, is popular open-source mechanization server. The pipeline will automate the build, test, and arrangement of computer program applications, guaranteeing speedier time to- market, progressed quality, and diminished manual exertion. Automated testing and reporting are moreover executed, enabling high-quality program discharges and recognizing abandon

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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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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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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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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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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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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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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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Anuar, Muhammad Rifqi, and Fitri Latifah. "PENERAPAN CI/CD PADA DevOps GUNA MENINGKATKAN KECEPATAN DAN KUALITAS RILIS APLIKASI." Journal of Information System, Applied, Management, Accounting and Research 9, no. 2 (2025): 737. https://doi.org/10.52362/jisamar.v9i2.1853.

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Dalam era digital, PT. Pegadaian menghadapi tantangan dalam pengembangan aplikasi akibat proses manual yang lambat dan kurang efisien, menyebabkan konflik kode dan keterlambatan rilis. Penerapan DevOps melalui CI/CD diharapkan dapat meningkatkan kecepatan, kualitas, dan responsivitas layanan, serta mengurangi risiko kesalahan dalam pengujian dan deployment.Tujuan penelitian ini adalah menganalisis penerapan CI/CD pipeline di PT. Pegadaian untuk automation deployment, mengidentifikasi dan mengevaluasi CI/CD tools yang digunakan dalam pengelolaan pipeline, serta meneliti layanan cloud berbasis c

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Popuča, Milena, and Srđan Popov. "PREDLOG ARHITEKTURE CI/CD PIPELINE-A KORIŠĆENJEM JENKINS I DOCKER ALATA." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 35, no. 01 (2019): 121–24. http://dx.doi.org/10.24867/06be25pocuca.

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U radu su detaljno analizirana dva najpopulanija alata za pravljenje CI/CD pipeline-a. Infrastruktura je postavljena uz akcenat na Docker na kome su pokrenuti svi servisi potrebni za CI/CD. Za primer aplikacije na kojoj je pipeline implementiran uzeta je SpringBoot i AngularJS aplikacija podsistema za fakturisanje.

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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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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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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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M. Kvinikadze, D. Kuparadze, V. Kirakosyan, and D. Pataridze. "GEO-ECOLOGICAL STUDY OF CENTRAL PIPELINE CORRIDORS IN GEORGIA." World Science 1, no. 2(42) (2019): 13–17. http://dx.doi.org/10.31435/rsglobal_ws/28022019/6347.

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   At present, the main pipelines represent the most profitable economic means in terms of transportation, supply and exploitation of energy resources. Since their laying is associated with a change in the natural environment, the ecological study of these corridors is a prerequisite. Geo-ecological study of the main pipelines is divided into three stages. This is the study of the pipeline route, to establish the existing background before the work begins. The second stage is the establishment of environmental impact during the laying of the pipeline. The third step is to mon

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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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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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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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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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Muhammad, Owais Khan, Khan Jumani Awais, Farhan, Ahmed Siddique Waqas, and Ali Shaikh Asad. "Fast Delivery, Continuously Build, Testing and Deployment with DevOps Pipeline Techniques on Cloud." Indian Journal of Science and Technology 13, no. 5 (2020): 552–75. https://doi.org/10.17485/ijst/2020/v13i05/148983.

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Abstract <strong>Objectives:</strong> To implement the DevOps pipeline on cloud for an organization. That is designed and implemented according to the project requirements. <strong>Methods/findings:</strong> The results of the study are to automate everything using DevOps pipeline on cloud native with executed Continuous Integration (CI), Continuous Delivery (CD), and Monitoring required for the case project. The best practices of DevOps are for automated test execution, automated deployment on different environments, and monitoring of the application. It also maintains the applicati

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Amgothu, Sudheer. "An End-to-End CI/CD Pipeline Solution Using Jenkins and Kubernetes." International Journal of Science and Research (IJSR) 13, no. 8 (2024): 1576–78. http://dx.doi.org/10.21275/sr24826231120.

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Rahul Chowdary Bondalapati, Lakshmi Apoorwa Kumpatla, and Suvarna Rekha Karumanchi. "Secure-by-Design CI/CD Pipelines: A Zero Trust Framework for Cloud-Native Deployment Automation." Journal of Computer Science and Technology Studies 7, no. 5 (2025): 211–19. https://doi.org/10.32996/jcsts.2025.7.5.27.

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The rapid evolution of cloud-native architectures and continuous deployment practices necessitates a fundamental shift in securing CI/CD pipelines. A novel zero trust framework introduces security controls as first-class entities within pipeline architecture, enforcing continuous verification throughout the software delivery lifecycle. The framework leverages policy-as-code, ephemeral build environments, and cryptographically verified artifact provenance to establish tamper-proof supply chains. Case studies demonstrate significant reductions in security incidents while improving deployment eff

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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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Namsraidorj, Munkhtsetseg, Sanchirjav Lkhaasuren, Bagabold Gendensuren, Khantulga Radnaa, Javkhlan Rentsendorj, and Amirlan Enkhtur. "Continuous Integration and Delivery of Software products: Pipeline implementation." International Journal of Engineering and Computer Science 13, no. 05 (2024): 26172–77. http://dx.doi.org/10.18535/ijecs/v13i05.4821.

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Continuous practices, i.e., continuous integration, delivery, and deployment, are the software development industry practices that enable organizations to frequently and reliably release new features and products. CI/CD is the best practice for teams using a DevOps methodology and is best suited to agile methodologies. CI/CD automates code integration and delivery, allowing software development teams to focus more on business requirements. Implementing CI/CD and automating the delivery process from application development to the live environment using pipelines, reducing the time and errors du

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H K, Kiran Kumar, K. Subrahmanya, Kavana R, and Shwetha Baliga. "An Approach to basic GUI-enabled CI/CD pipeline with Static Analysis tool." Journal of University of Shanghai for Science and Technology 23, no. 06 (2021): 683–93. http://dx.doi.org/10.51201/jusst/21/05317.

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Automation in the software delivery process is considered best practice in secure Software development life cycle(SDLC) and DevOps Deployment of software occurs multiple times in a week, day or within a span of few minutes. Manual deployment of the code and database which comprises the desired software is not only tedious but also prone to errors. The Continuous Integration and Continuous Deployment (CI/CD) pipeline ensure that the software delivery is done in an efficient and reliable way so that the software is available for use at any instant of time. In this paper, we discuss a basic appro

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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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Abdullah, Abdullah, Mohammad Zeeshan, Ansari Abdurrahman, Imran Akhtar, and Salman Baig. "Deploying Application Using CI/CD Tools on AWS." International Journal of Electrical Engineering and Computer Science 6 (October 17, 2024): 184–88. http://dx.doi.org/10.37394/232027.2024.6.22.

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These days, most businesses turn to cloud computing as their go-to answer. Due to this, DevOps methodologies in which developers work have been introduced. together with network engineers to guarantee their applications are deployed quickly and reliably. Continuous Integration and Delivery (CI/CD) pipelines, which automate the build process on specialized equipment, have been shown to yield a number of benefits, such as quicker release cycles, higher productivity, and early fault discovery. This work describes an automated pipeline from scratch, beginning with the detection of modifications in

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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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Jacobs, Janis E., and Sandra D. Simpkins. "Mapping leaks in the math, science, and technology pipeline." New Directions for Child and Adolescent Development 2005, no. 110 (2005): 3–6. http://dx.doi.org/10.1002/cd.145.

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