Recent advances in AWS cloud services

Panchalingala, Ajay Kumar (2025) Recent advances in AWS cloud services. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 259-267. ISSN 2582-8266

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Abstract

The rapid evolution of Amazon Web Services (AWS) cloud technologies continues to reshape enterprise computing environments across global industries. This technical review examines recent innovations in AWS services that are transforming organizational capabilities and competitive positioning. Beginning with computational performance advancements through AWS Graviton processors and specialized High-Performance Computing offerings, the article explores how these ARM-based architectures deliver enhanced efficiency across diverse workloads. The expanding AI and Machine Learning ecosystem, particularly through AWS Bedrock's foundation model integration and SageMaker's democratized ML tools, enables organizations to implement sophisticated intelligence capabilities without extensive expertise. Serverless computing developments, including Lambda Function URLs and SnapStart features, alongside visual workflow orchestration through Step Functions, have simplified application development while improving performance characteristics. Container orchestration enhancements facilitate consistent hybrid deployments across on-premises and cloud environments. Looking forward, AWS continues strategic investments in quantum computing initiatives, sustainability practices, and multi-cloud compatibility tools that position the platform at the forefront of cloud innovation. These advancements collectively enable organizations to achieve greater operational agility, cost efficiency, and innovation capacity while addressing evolving challenges in security, compliance, and technical workforce development.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.3.0918
Uncontrolled Keywords: Cloud Computing; Artificial Intelligence; Serverless Architecture; Container Orchestration; Quantum Computing
Depositing User: Editor Engineering Section
Date Deposited: 16 Aug 2025 12:49
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/4413