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.
Authors
- Prof. Arpit Jain
- Bharath Thandalam Rajasekaran
Institutions
- University of Maryland, College Park (US)
- Koneru Lakshmaiah Education Foundation (IN)
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
- 0.00