Authors: Benjamin Carter, Amelia Scott, Daniel Harrison, Emily Parker, Chaitanya Srinivas

Abstract: Cloud-native computing has transformed the design and deployment of modern applications by introducing highly scalable, resilient, and distributed architectures capable of supporting dynamic business requirements. Among these advancements, serverless computing has emerged as a significant paradigm that abstracts infrastructure management, enables event-driven execution, and facilitates rapid application deployment while improving operational efficiency. High-availability platforms increasingly leverage serverless deployment models to ensure continuous service delivery, fault tolerance, elasticity, and cost optimization across diverse cloud environ-ments. This study presents an evidence mapping analysis of the evolution of cloud-native high-availability platforms through the adoption of serverless deployment strategies. The research systematically examines existing literature to identify major architectural trends, deployment ap-proaches, technological enablers, performance outcomes, and implementation challenges associat-ed with serverless computing. The analysis categorizes studies according to availability mecha-nisms, scalability techniques, fault recovery models, microservices integration, orchestration frameworks, and cloud-native design principles. The findings indicate that serverless deployment models significantly enhance platform availability by enabling automatic scaling, distributed workload management, reduced infrastructure complexity, and improved resilience against fail-ures. Furthermore, the study highlights the growing influence of container orchestration, Func-tion-as-a-Service (FaaS), edge computing, event-driven architectures, and hybrid cloud environ-ments in shaping next-generation high-availability platforms. The evidence mapping also identi-fies research gaps related to security, observability, multi-cloud interoperability, latency optimiza-tion, and governance of serverless ecosystems. The study concludes that serverless deployment models represent a critical evolutionary step in cloud-native architecture and provide a foundation for building highly available, scalable, and resilient digital platforms capable of meeting future technological demands.

DOI: http://doi.org/10.5281/zenodo.20627065