Vol. 3 No. 1 (2023): Advances in Deep Learning Techniques
Articles

Assessing Microservice Security Implications in AWS Cloud for to implement Secure and Robust Applications

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  • Amarjeet Singh ,
  • Alok Aggarwal
Amarjeet Singh
School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India
Alok Aggarwal
School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India
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Published 27-04-2023

Keywords

  • Microservice,
  • Cloud Migration,
  • Containerization Distributed Systems,
  • Microservice Security

How to Cite

[1]
A. Singh and A. Aggarwal, “Assessing Microservice Security Implications in AWS Cloud for to implement Secure and Robust Applications”, Adv. in Deep Learning Techniques, vol. 3, no. 1, pp. 31–51, Apr. 2023.
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Abstract

As organizations increasingly embrace microservices architecture hosted on the Amazon Web Services (AWS) Cloud, the paramount importance of securing these distributed components becomes evident. This research paper introduces a specialized Security Implementation Assessment Approach tailored for AWS Cloud, aiming to ensure the security and scalability of microservices. The paper delves into the nuances of microservices security challenges, explores AWS native security services, and proposes a systematic framework for assessing and implementing security measures. Real-world case studies exemplify successful security implementations, while discussions on challenges and solutions provide practical insights. The paper concludes by emphasizing the symbiotic relationship between security and scalability in microservices on AWS, setting the stage for future research and advancements in this evolving domain.

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