Resilient Cloud Architecture: Automating Security Across Multi-Region AWS Deployments

  • Paidy P
  • Chaganti K
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Abstract

Building robust cloud architecture has become more basic in modern IT strategy in an increasingly digital world where high availability & data security are more critical. This paper investigates how companies could achieve resilience & more security in multi-region AWS deployments, which by their very nature provide complexity due to remote resources, different compliance standards & changing threat environments. While manually protecting such settings is resource-intensive, human error is prone in this process, hence automation becomes transforming. Including security assessments, compliance checks, and incident response strategies into the deployment process helps teams to maintain a consistent security posture and stimulate innovation. Several AWS-native & more outside technologies that enable this including AWS Config, Security Hub, GuardDuty & also Infrastructure as Code (IaC) frameworks like Terraform and AWS CloudFormation are examined in this article. It describes how many technologies are coordinated to provide a proactive, self-healing security solution that runs without problems across several areas. This article presents an actual world case study showing how a global company automated security & more compliance across many AWS sites, hence improving uptime & lowering operating expense. Readers might expect realistic insights on building a scalable, resilient cloud architecture integrated with their security one that conforms with regulatory criteria & resists disruptions. Emphasizing automation as a basic feature, this article offers specific strategies for cloud architects, DevSecOps engineers, and IT executives to future-proof their AWS settings

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APA

Paidy, P., & Chaganti, K. (2024). Resilient Cloud Architecture: Automating Security Across Multi-Region AWS Deployments. International Journal of Emerging Trends in Computer Science and Information Technology, 5, 82–93. https://doi.org/10.63282/3050-9246.ijetcsit-v5i2p109

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