Authors : Amir Siddiki

Volume/Issue : Volume 11 - 2026, Issue 6 - June

Google Scholar : https://tinyurl.com/54b55ccn

Scribd : https://tinyurl.com/3xua5fyn

DOI : https://doi.org/10.38124/ijisrt/26jun363

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Enterprise organizations increasingly depend on continuous integration and continuous deployment (CI/CD) systems for software release management within containerized cloud infrastructures. Despite widespread adoption of DevOps practices, enterprise deployment pipelines still face challenges related to infrastructure complexity, deployment instability, dependency conflicts, workload imbalance, and rollback management. This research presents an adaptive CI/CD automation framework integrating Jenkins, Kubernetes, Docker, and automated artifact repositories for enterprise scale application deployment. The framework incorporates adaptive pipeline orchestration, container build optimization, infrastructure-aware scheduling, automated rollback control, and runtime monitoring within distributed Kubernetes environments. Experimental evaluation examines deployment execution time, rollback recovery duration, deployment consistency, infrastructure utilization, and release stability using quantitative benchmarking techniques and workload simulation across distributed clusters. The experimental results indicate reductions in deployment latency, failed release frequency, and infrastructure interruption during concurrent deployment operations. The framework also demonstrates stable workload distribution, improved rollback response, and consistent deployment execution across enterprise microservice environments. The proposed architecture provides a structured deployment model for CI/CD automation and container orchestration within large-scale cloud-native enterprise systems.

Keywords : CI/CD Automation, Jenkins Pipelines, Kubernetes Deployment, Docker Optimization, Enterprise DevOps, Release Engineering, Infrastructure Automation, Cloud-Native Systems.

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