Creating a scalable containerization model for enhanced software engineering in enterprise environments
1 S&P Global, Houston Texas, USA.
2 Cisco Systems, Richardson, Texas, USA.
3 Riot Games, California, USA.
4 Nigeria Inter-Bank Settlement System Plc (NIBSS), Nigeria.
5 Shoprite, Capetown, South Africa.
Review Article
Global Journal of Engineering and Technology Advances, 2024, 21(02), 139–150.
Article DOI: 10.30574/gjeta.2024.21.2.0220
Publication history:
Received on 13 October 2024; revised on 20 November 2024; accepted on 23 November 2024
Abstract:
As enterprises continue to embrace digital transformation, there is an increasing need for scalable, efficient, and agile software development practices. Containerization has emerged as a key technology in optimizing resource utilization, accelerating deployment, and enhancing software reliability. This review presents a comprehensive approach to creating a scalable containerization model specifically tailored for enterprise environments. By leveraging container technologies such as Docker and orchestration platforms like Kubernetes, this model addresses the complexities of managing large-scale applications, improving scalability, flexibility, and cost efficiency. The proposed model emphasizes the integration of microservices architecture, continuous integration/continuous deployment (CI/CD) pipelines, and Infrastructure as Code (IaC) to streamline the software development lifecycle (SDLC). Key components of the framework include automated orchestration, robust security measures, and advanced monitoring systems. These elements are designed to enhance the agility of enterprise software engineering processes while ensuring system reliability and compliance with industry standards. The benefits of implementing a scalable containerization model are demonstrated through real-world case studies, highlighting significant improvements in deployment speed, operational resilience, and cost savings. However, challenges such as integrating legacy systems, managing security vulnerabilities, and optimizing data storage are also explored. By addressing these challenges, enterprises can maximize the potential of containerization to transform their software engineering practices. This concludes with best practices and strategic recommendations for organizations seeking to adopt a scalable containerization approach. As the technology continues to evolve, integrating AI-driven optimizations and edge computing capabilities will further extend the impact of containerization in enterprise environments, driving innovation and competitive advantage in the digital era.
Keywords:
Scalable containerization model; Software engineering Enterprise environments; Review
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0