Engineering Scalable Microservices: A Comparative Study of Serverless Vs. Kubernetes-Based Architectures
Authors:- Sreenivasulu Navulipuri
Abstract- This study compares serverless architectures and Kubernetes-based orchestration systems in the context of cloud-native microservices. It examines key factors such as latency, scalability, cost efficiency, and operational complexity. AWS Lambda and other serverless platforms scale automatically but experience delays during cold starts while Kubernetes provides detailed control at the cost of increased operational expenses. The paper also examines AI-driven resource optimization and hybrid models, such as Knative and OpenFaaS, which combine the advantages of both paradigms. Performance benchmarks and case studies guide architects in selecting the most suitable deployment model. A hybrid solution appears to provide the optimal combination of scalability, cost management and operational efficiency.
