Utilizing AWS Advanced Services for Modernizing and Refactoring Legacy Systems to Achieve Cloud-Native Capabilities

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume :12 | Issue : 01 | Page : –
By
vector

Anil Kumar Bayya,

  1. Testworx, Chicago, Cook County, , United States of America

Abstract

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Updating and restructuring outdated systems is essential for organizations seeking to harness the scalability, adaptability, and robustness offered by cloud-native architectures. Legacy systems can obstruct innovation because of their rigid structure, expensive maintenance, and inability to scale effectively. Amazon Web Services (AWS) provides a comprehensive suite of advanced services that enable the efficient transformation of such systems into modern, cloud-native solutions. This paper explores strategies and best practices for utilizing AWS advanced services, such as AWS Lambda, Amazon ECS, Amazon EKS, and Amazon RDS, to achieve seamless modernization. It delves into serverless computing, containerization, database migration, and microservices architecture as pivotal approaches to refactoring legacy systems. AWS Step Functions and Code Pipeline are also highlighted for automating workflows and continuous integration/deployment (CI/CD) processes, enhancing development agility. Reducing technical debt is a key focus, as modernization simplifies codebases, eliminates redundant processes, and improves maintainability. Operational efficiency is enhanced by leveraging managed services like AWS CloudWatch and AWS Systems Manager, which provide real-time monitoring and automated management, reducing downtime and optimizing resource utilization. Furthermore, this paper emphasizes the role of modernization in driving innovation. By transitioning to microservices, organizations can achieve faster deployment cycles, greater scalability, and the ability to adopt emerging technologies like artificial intelligence and machine learning with services such as Amazon Sage Maker and AWS Recognition. Through case studies and real-world applications, the findings underscore the transformative impact of AWS-powered modernization in enabling businesses to remain competitive, agile, and future-ready in an ever-evolving technological landscape. This paper provides actionable insights for leveraging AWS to achieve successful and sustainable legacy system transformation.

Keywords: Amazon Web Services AWS, legacy systems, modernization, cloud-native, refactoring, technical debt, cloud computing, microservices, serverless computing, containerization, database migration, operational efficiency, managed services, scalability, automation, innovation, continuous integration (CI), continuous deployment (CD), machine learning (ML), artificial intelligence (AI), Amazon ECS, Amazon EKS, Amazon RDS, AWS Lambda, digital transformation

[This article belongs to Recent Trends in Parallel Computing (rtpc)]

How to cite this article:
Anil Kumar Bayya. Utilizing AWS Advanced Services for Modernizing and Refactoring Legacy Systems to Achieve Cloud-Native Capabilities. Recent Trends in Parallel Computing. 2025; 12(01):-.
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Anil Kumar Bayya. Utilizing AWS Advanced Services for Modernizing and Refactoring Legacy Systems to Achieve Cloud-Native Capabilities. Recent Trends in Parallel Computing. 2025; 12(01):-. Available from: https://journals.stmjournals.com/rtpc/article=2025/view=0

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Regular Issue Subscription Review Article
Volume 12
Issue 01
Received 09/01/2025
Accepted 18/01/2025
Published 24/01/2025
314