Devops Compliance-as-Code

Venkata Surendra Reddy Narapareddy, Suresh Kumar Yerramilli

Citation: Venkata Surendra Reddy Narapareddy, Suresh Kumar Yerramilli, "Devops Compliance-as-Code", Universal Library of Engineering Technology, Volume 01, Issue 02.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The rising simplicity and speed of software distribution in DevOps chains has exaggerated the problem of assuring conformity with regulations without detriment to agility. However, not only are traditional manual compliance processes error-prone, but they are also unlikely to keep pace with the rapidity and scale of cloud-native development. As a response, the paradigm of Compliance-as-Code (CaC) has emerged, integrating compliance requirements into DevOps workflows through code-based, automated, and version-controlled processes. DevOps Compliance-as-Code is the topic of this article, which covers the theoretical background and technologies that make this approach possible, real-life applications, and the emerging research trends. Drawing from scholarly and industry literature, including recent advances in secure DevOps, cloud automation, and generative AI, the discussion demonstrates how Compliance-as-Code ensures traceability, repeatability, and auditability of compliance actions across the software lifecycle (Vadisetty et al., 2023; Abrahams & Langerman, 2018). With policies embedded as runnable code, organizations may achieve proactive control of risks, regulatory controls, and efficient governance in highly dynamic and decentralized development platforms. This article presents a critical review of the advantages, obstacles, and strategy that is required to implement Compliance-as-Code in Modern DevOps environments.


Keywords: DevOps Compliance-as-Code; Automated Compliance in DevOps; Security Automation in DevOps Pipelines; AI-driven Compliance; DevOps Governance and Regulatory Automation.

Download doi https://doi.org/10.70315/uloap.ulete.2024.0102008