International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Leveraging Amazon Web Services for Scalable Microservices Architecture: A Comprehensive Study of Cloud Operations and Best Practices

Author(s) GOPALAKRISHNAN MARIMUTHU
Country United States
Abstract Cloud computing has fundamentally transformed the way modern software systems are designed, deployed, and operated. Among the leading cloud service providers, Amazon Web Services (AWS) has established itself as a dominant platform offering a comprehensive suite of services that enable organizations to build and manage microservices-based architectures at scale. This paper presents a detailed study of basic AWS cloud operations and their role in supporting microservices architecture. The study examines core AWS services including Amazon Elastic Compute Cloud (EC2), AWS Lambda, Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), Amazon API Gateway, and supporting infrastructure services such as Amazon Virtual Private Cloud (VPC), Elastic Load Balancing (ELB), and AWS Identity and Access Management (IAM). The paper analyzes the best features and practices for designing, deploying, monitoring, and securing microservices on AWS. A comparative analysis of container-based and serverless microservices deployment models is presented, along with a discussion of inter-service communication patterns, observability strategies, and cost optimization techniques. The findings indicate that AWS provides a mature and feature-rich ecosystem that significantly reduces the operational complexity of microservices while offering high availability, fault tolerance, and elastic scalability. This paper serves as a reference for practitioners and researchers seeking to understand the intersection of AWS cloud operations and microservices architecture.
Keywords Amazon Web Services, Cloud Computing, Microservices Architecture, Serverless Computing, Containerization, AWS Lambda, DevOps, Cloud Operations, Elastic Scalability, API Gateway
Field Computer
Published In Volume 7, Issue 4, July-August 2025
Published On 2025-08-09
DOI https://doi.org/10.36948/ijfmr.2025.v07i04.76708
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E-ISSN 2582-2160
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