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    Transparent Peer Review By Scholar9

    Enhancing CI/CD Automation in Containerized Environments through Intelligent Monitoring, Predictive Analytics, and Policy-Driven Deployment Frameworks

    Abstract

    Continuous Integration and Continuous Deployment (CI/CD) automation has become central to modern software engineering, particularly in microservices and containerized environments, which emphasize agility, scalability, and consistency. However, ensuring that CI/CD pipelines remain resilient, intelligent, and policy-compliant in dynamically scaling container environments presents multiple challenges. This research proposes a next-generation CI/CD automation architecture that integrates intelligent monitoring, predictive analytics, and policy-driven frameworks to optimize deployment decisions and failure recovery. Using a mixed-methods approach—combining qualitative interviews with DevOps teams across Asia and Europe, and quantitative analysis of pipeline performance metrics—this study demonstrates how predictive models can pre-empt pipeline failures, reduce rollback rates, and optimize resource usage during deployments. The intelligent monitoring system leverages real-time container metrics (CPU, memory, network, logs) and anomaly detection algorithms such as Isolation Forest and DBSCAN. Predictive analytics models, built using Gradient Boosting and Random Forest algorithms, provide pipeline health forecasts and failure likelihood scores. Meanwhile, the policy engine enforces deployment standards based on SLAs, security checks, and resource thresholds using custom YAML-based schemas and OPA (Open Policy Agent). Results indicate a 42% reduction in deployment failures and a 30% decrease in mean time to resolution (MTTR) across production workloads. Our architecture also enhanced compliance traceability and reduced manual interventions by 55%. This paper contributes a robust CI/CD intelligence model and a decision-making policy layer that can be extended to hybrid and multi-cloud DevOps platforms. Ultimately, this research promotes sustainable, self-healing, and compliant CI/CD operations, which are vital in modern DevSecOps-driven digital transformation initiatives.

    Publisher

    IJ Publication

    IJ Publication

    Reviewer

    Shubhita

    Shubhita Tripathi

    More Detail

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    Paper Category

    Cloud Computing

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    Journal Name

    JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH External Link

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    p-ISSN

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    e-ISSN

    2984-9276

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