A Framework for Multi-Cloud Network Orchestration Using Ansible and Terraform in Hybrid Environments

Publication of IJETD

Journal Book

Abstract

With everything going digital, companies rely nowadays on more hybrid and multi-cloud environments, which give them more strength, flexibility, and room to grow. Given the fact that each cloud platform has its own settings, APIs, and services, it is challenging to keep track of network infrastructure across cloud platforms. This paper proposes the use of Terraform for infrastructure provisioning and Ansible for configuration management in order to obtain an enhanced network management in multi-cloud hybrid environments. The framework ensures consistency in terminology to refer to network resources across all platforms, such as AWS, Azure, and on-premise data centres, while it also enables the possibility of automatic deployment. The proposed methodology uses Ansible along with Terraform to create testable, changeable, and reproducible deployments. This ensures smoother operations and eliminates the possibility of getting stuck with a vendor. For hybrid infrastructures, automatic configuration of VPN, firewall, and routing configurations is possible with the framework. Following is a real example.

Keywords

Multi-cloud, Hybrid cloud, Network orchestration, Infrastructure as Code (IaC), Ansible, Terraform, Cloud automation, DevOps, Cloud provisioning.

Conclusion

A. Summary of Findings

Based on the extensive case study methodology, this research has examined scalable network migration strategies with regards to data centre consolidation within the telecommunications sector. Demonstrated by a national telecom operator, a regional carrier, and a global service provider moving is not only a technical challenge but also a business issue. It was clear in all cases that cautious planning, staged implementation, and the use of new technologies such as SDN and hybrid cloud platforms can substantially reduce risks and enhance operational outcomes. All three companies, from different locations and sizes, achieved post-migration job efficiencies, increased customer responsiveness, and more flexible infrastructure. However, there were numerous challenges, for instance, dealing with old systems, applying rules, and staff not wanting to work with them. Most of these were overcome with a combination of governance structures, automation, and training for staff. These results are indicative of how big data centres can be assembled. But the operator must have a comprehensive plan that takes into consideration all the rules and laws which apply to them.

B. Contributions to Industry Practice and Academic Research

Academic and Professional Practice This paper contains much valuable advice to improve your writing both at school and in one's professional life. The paper will help the practitioners in the field plan and execute the challenging relocation of data centres smoothly. The objectives are to ensure a smooth relocation, continue business, and make improvements after the relocations. Telecommunication companies will learn how to apply technical and management capabilities in real-world situations by examining case studies. Then, they will adapt these modifications according to their needs. This research addresses a significant gap in existing scholarship by maintaining a specific focus on telecom infrastructure, which is often neglected in migration research in favor of enterprise IT. For the first time, it puts into a single view all the technical, operational, and organizational aspects of network relocation. This can further contribute to future research on how important parts of the infrastructure may be changed due to digital transformation. If you take a closer look at each migration strategy, it contributes to the discussion of how to set up SDNs, run global data centres, or use hybrid clouds.

C. Areas for Future Study

This study is a good start, but some parts need more work. A thing to consider is how different consolidation models function over time and at what cost. This is so in the telecom business, where technology and what customers want change every time. Future research might look into whether adding edge computing and distributed edge nodes can make centralized data centre architectures more scalable and reliable. Cybersecurity is another important area, especially when there are both public and private clouds. This makes it harder to see threats. We also need to learn more about how networks that move around change the world and the people who live in it. The success of a project may depend upon how leaders act, how well teams work together, and how well they handle change. Finally, as network management tools using AI improve, they might help with planning moves, finding out problems, and doing maintenance before they happen. This is the place to study. We will learn more about moving networks that can grow in the future. They will also be of great assistance in moving the telecom industry in the dynamically connected world.

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