Jenkins Automation for EMR Cluster Management and Airflow Instance Deployment

This research presents a novel automation mechanism for Amazon EMR cluster management and Apache Airflow instance deployment with Jenkins. Leveraging the strong continuous integration and continuous delivery (CI/CD) capabilities of Jenkins, the system enables automation of provisioning, configuration, and management of scalable EMR clusters for big data processing. At the same time, it automates Airflow instance deployment to manage complex workflows and data pipelines. The integration not only minimizes human intervention but also enhances system reliability and operational efficiency through uniform configurations and prompt error reporting. This automation system is particularly designed to address the challenges of dynamic cloud environments such as resource provisioning, fault tolerance, and security compliance, thus ultimately providing organizations with a scalable, maintainable, and cost-effective solution for modern data orchestration and processing needs.

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Publication Details

Journal
Universal Research Reports
Published
2025-03-30
DOI
https://doi.org/10.36676/urr.v12.i1.1488
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
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article

Jenkins Automation for EMR Cluster Management and Airflow Instance Deployment

Prof. Arpit Jain, Bharath Thandalam Rajasekaran
Universal Research Reports
Privacy-Preserving Technologies in Data
article

Jenkins Automation for EMR Cluster Management and Airflow Instance Deployment

Prof. Arpit Jain, Bharath Thandalam Rajasekaran
article en

Abstract

This research presents a novel automation mechanism for Amazon EMR cluster management and Apache Airflow instance deployment with Jenkins. Leveraging the strong continuous integration and continuous delivery (CI/CD) capabilities of Jenkins, the system enables automation of provisioning, configuration, and management of scalable EMR clusters for big data processing. At the same time, it automates Airflow instance deployment to manage complex workflows and data pipelines. The integration not only minimizes human intervention but also enhances system reliability and operational efficiency through uniform configurations and prompt error reporting. This automation system is particularly designed to address the challenges of dynamic cloud environments such as resource provisioning, fault tolerance, and security compliance, thus ultimately providing organizations with a scalable, maintainable, and cost-effective solution for modern data orchestration and processing needs.

Universal Research ReportsVol. 12(1)
University of Maryland, College Park (US), Koneru Lakshmaiah Education Foundation (IN)
Openalex Percentile: Top 97%
Privacy-Preserving Technologies in Data
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Jenkins Automation for EMR Cluster Management and Airflow Instance Deployment — Prof. Arpit Jain, Bharath Thandalam Rajasekaran · Universal Research Reports (2025) | TGRS Research Map | TGRS