2026· International Journal of Emerging Trends in Computer Science and Information Technology· 0 citations
TL;DR
This paper presents a realistic case study showing how the implementation of DevOps principles in cross-functional teams, with the help of the standardized pipelines and integrated automation, facilitates cooperation, reduces cycle times, enhances quality assurance and accelerates delivery outcomes.
Abstract
DevOps has changed the way we build and deploy software, focusing on collaboration, automation, continuous integration and continuous delivery (CI/CD). This allows enterprises to provide software faster, with higher quality and greater operational efficiency. While these ideas are frequently employed in traditional software engineering, their use in other technological fields is still limited, despite increasing complexity and increasing demands of speed and dependability. In this post we discuss how CI/CD approaches may be used outside of software development to semiconductor and cloud engineering life-cycles. Disconnected workflows, lengthy validation cycles, varied toolchains and segregated teams can hinder productivity and creativity. Semiconductor creation entails complex procedures of design, simulation, verification and fabrication, while cloud engineering demands constant provisioning of infrastructure, managing configurations, ensuring security and deploying services in ever-changing settings. Such issues point to the necessity for a unified methodology that can integrate automation, traceability and constant feedback across many engineering disciplines. In this work, we propose a comprehensive CI/CD solution, which merges software, semiconductor and cloud engineering processes in one DevOps-driven approach. This framework brings together test automation, versioning, artifact management, infrastructure orchestration, design validation and continuous monitoring into a single scalable engineering environment. This paper presents a realistic case study showing how the implementation in cross-functional teams, with the help of the standardized pipelines and integrated automation, facilitates cooperation, reduces cycle times, enhances quality assurance and accelerates delivery outcomes. The results suggest that the use of DevOps principles in non-traditional domains can yield significant benefits in terms of operational consistency, reduction of human work, and end-to-end visibility along the product life cycle. This study adds to the knowledge of enterprise-wide DevOps adoption by providing a viable roadmap to organizations that aspire to integrate engineering processes, break down domain silos and realize continuous innovation across physical and digital technology ecosystems.
Today, IT organizations, in particular, have to provide quick, reliable and high-quality software solutions for meeting
the changing market requirements. While the development process has been structured by traditional software engineering
paradigms (Waterfall, Agile and Spiral Models), traditional workflows often involve operational bottlenecks. In particular, the
lack of communication and coordination between development and operations can lead to delivery delays. DevOps has come
about as a transformative approach that fuses software design and IT operations into a single, streamlined and automated
process that aims to overcome these systemic inefficiencies. DevOps is used to streamline the software delivery pipeline, when
paired with Cloud Computing infrastructure, including SaaS, PaaS, and IaaS solutions from AWS, Azure, and GCP. In this
project, one will be working on building a Continuous Integration and Continuous Deployment (CI/CD) pipeline using
Microsoft Azure to automate software delivery and improve overall efficiency
Ashwani Kumar, Geetanjali Amarawat· International Journal for Re...· 0 citations
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S. Kanchumarthi· World Journal of Advanced Re...· 0 citations
An integrated reference architecture is proposed that combines TDD's fine-grained unit-level feedback loop with BDD's stakeholder-readable acceptance criteria inside a single continuous integration and continuous delivery (CI/CD) pipeline.
Urvish Gajjar· International Journal of Sci...· 0 citations
The rapid evolution of cloud computing has transformed enterprise software development by enabling scalable infrastructure, distributed applications, microservices architectures, and increasingly frequent software releases. However, the growing complexity of cloud-native environments introduces challenges related to deployment latency, pipeline failures, resource inefficiency, service availability, and recovery from unsuccessful releases. This study examines the optimization of cloud-native Continuous Integration and Continuous Deployment (CI/CD) workflows through DevOps automation, with emphasis on improving deployment speed, resilience, and operational efficiency across enterprise environments. The proposed approach integrates automated code integration, testing, containerization, infrastructure as code, Kubernetes orchestration, continuous monitoring, policy-driven deployment, and automated rollback mechanisms within an integrated delivery pipeline. Performance is evaluated using deployment frequency, lead time, pipeline execution time, change failure rate, mean time to recovery, resource utilization, and service availability. The study further investigates pipeline bottlenecks and the contribution of automation to deployment consistency, fault detection, scalability, and recovery performance. The resulting framework provides a systematic basis for balancing rapid software delivery with reliability, resilience, and efficient infrastructure utilization across increasingly complex cloud-native enterprise systems and applications.
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Nitin Bodade· International Journal of Inn...· 0 citations
A Domain-Specific Language (DSL), named RI language, designed for the declarative description of microservices, along with a supporting tool, TSE (Toolbox Service Executor), implemented in Python and based on the RI grammar, enables the representation of structural and operational aspects of services in a technology-agnostic manner.
Cássio Ritse, Machado Dos, Santos Silva et al.· 0 citations