Published Paper Details:

The rapid growth of cloud-based applications has increased the demand for scalable, secure, and energy-efficient computing solutions.Traditional cloud infrastructures often rely on continuously running servers, leading to higher operational costs and unnecessary energy consumption. To address these challenges, this paper proposes a secure serverless architecture deployment that promotes green innovation and sustainable digital infrastructure.The proposed system leverages serverless computing services from multiple cloud providers, including AWS and Google Cloud, to dynamically allocate resources based on demand. By eliminating idle server instances, the architecture significantly reduces energy usage and operational overhead while improving scalability and fault tolerance. Security is enhanced through cloud-native identity management, encrypted data storage, and event-driven access control mechanisms. The multi-cloud design improves system reliability and avoids vendor lock-in, enabling efficient workload distribution across platforms. Experimental evaluation demonstrates reduced response latency, cost efficiency, and improved resource utilization compared to traditional server-based models. The results highlight how serverless and multi-cloud technologies can contribute to sustainable growth by minimizing carbon footprint and optimizing computational resources. This work demonstrates that secure serverless multicloud architectures are a viable solution for building environmentally sustainable, scalable, and resilient cloud applications, supporting the goals of green computing and sustainable technological development.