Demystifying the complexity of multi-cloud networking

Abstract

The transition of enterprise computing towards multi-cloud environments demands robust networking solutions to ensure seamless connectivity and data exchange across diverse cloud platforms. This study explores in-depth the multifaceted realm of multi-cloud networking, illuminating its complexities, motivations, and challenges faced by enterprises. By exploring the crucial role of multi-cloud strategies in optimizing workloads, enhancing cost efficiency, enabling disaster recovery, and mitigating vendor lock-in risks, we uncover the intricate balance between performance optimization and security considerations inherent in multi-cloud deployments. Moreover, the escalating adoption of artificial intelligence and machine learning (AI/ML) catalyzes a transformative shift in cloud strategies, necessitating a reassessment of network infrastructures to align with evolving demands. However, current network architectures often fall short in meeting the demands of AI/ML and multi-cloud environments, prompting the exploration of alternative solutions. To address this gap, we scrutinize three distinct approaches to multi-cloud private connectivity: Site-to-Site VPN, private connectivity through fabric providers, and direct private connectivity over fibers between cloud providers. Each approach is meticulously evaluated across dimensions such as availability, security, performance, operational maintenance, and cost-effectiveness, offering valuable insights into their merits and challenges. By illustrating the intricacies of multi-cloud networking and proposing viable solutions, this research empowers enterprises with the knowledge and tools needed to navigate the complexities of modern cloud ecosystems adeptly.