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Research Paper | Information Technology | India | Volume 10 Issue 1, January 2021 | Popularity: 4.3 / 10

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Automating Compliance in Amazon EKS Clusters with Custom Policies

Babulal Shaik

Abstract: Automating compliance in Amazon EKS clusters with custom policies is essential for organizations looking to streamline Kubernetes governance while ensuring security and regulatory standards are met. As Kubernetes adoption grows, managing compliance manually becomes a daunting task due to cloud-native applications' dynamic and complex nature. Amazon Elastic Kubernetes Service (EKS) offers a managed platform that simplifies Kubernetes operations, but compliance demands often require additional customizations to meet specific organizational or industry requirements. By integrating custom policies, businesses can automate critical compliance checks, enforce security best practices, and prevent real-time misconfigurations. This approach reduces operational overhead and minimizes human error, ensuring consistent enforcement of rules across clusters. Tools like Open Policy Agent (OPA) and Kubernetes admission controllers allow organizations to effectively define, implement, and monitor these custom policies. Additionally, integrating these policies with CI/CD pipelines ensures compliance is embedded into the development process, catching violations early and accelerating deployment cycles. This seamless automation enhances visibility, enabling teams to track compliance status and remediate issues proactively. Adopting such strategies empowers organizations to scale their Kubernetes environments securely while remaining agile in response to evolving security and regulatory landscapes. Ultimately, automating compliance with custom policies in Amazon EKS improves operational efficiency and strengthens an organization's security posture, paving the way for smoother cloud-native transformations.

Keywords: Amazon EKS, compliance, Kubernetes, policy automation, data-sensitive sectors, healthcare compliance, finance regulations

Edition: Volume 10 Issue 1, January 2021

Pages: 1720 - 1728

DOI: https://www.doi.org/10.21275/SR21018115020

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