Optimizing cloud-native microservices for scalability and cost efficiency

Averineni, Ajay (2025) Optimizing cloud-native microservices for scalability and cost efficiency. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 1461-1475. ISSN 2582-8266

This technical article explores the transformative shift from monolithic architectures to cloud-native microservices, highlighting the fundamental advantages in scalability, cost efficiency, and agility. The article explores key components that enable successful microservices implementations, including containerization with Docker, orchestration with Kubernetes, and managed cloud services. It delves into essential design considerations for scalability through service decomposition, stateless design principles, and effective auto-scaling strategies. Cost optimization techniques are thoroughly addressed, covering resource right-sizing, workload-specific optimization approaches, and comprehensive monitoring practices. The article further explores reliability patterns for distributed systems and multi-region deployment strategies that ensure high availability. Through a financial services case study and structured implementation roadmap, the article provides practical insights for organizations undertaking microservices migrations while addressing common challenges and best practices that maximize business value.