Intelligent Automation in Cloud Infrastructure: From IaC to Self-Healing Systems

Yalate, Arunkumarreddy (2025) Intelligent Automation in Cloud Infrastructure: From IaC to Self-Healing Systems. World Journal of Advanced Research and Reviews, 26 (2). pp. 2304-2314. ISSN 2581-9615

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Abstract

This article examines the transformative evolution of cloud infrastructure automation, tracing its journey from manual management practices to sophisticated self-healing systems. The article explores how Infrastructure as Code has matured beyond static provisioning into dynamic, policy-driven environments capable of continuous assessment and autonomous remediation. The article reveals how organizations leverage foundational technologies like Terraform, AWS CloudFormation, and programmatic approaches through SDKs to establish consistent infrastructure provisioning while implementing advanced policy frameworks to ensure continuous compliance. The article demonstrates how comprehensive observability serves as the critical foundation for automation, with log aggregation, metrics analysis, and distributed tracing feeding sophisticated AI/ML systems that can detect anomalies, predict failures, and implement remediation without human intervention. Through detailed case studies and architectural frameworks, the article illustrates how leading organizations implement event-driven remediation workflows for common scenarios like IAM compliance and security group drift. The article concludes by examining the organizational implications of this transformation, including skills requirements and implementation strategies, while forecasting future directions in autonomous infrastructure management that will fundamentally reshape how organizations approach cloud operations.

Item Type: Article
Official URL: https://doi.org/10.30574/wjarr.2025.26.2.1829
Uncontrolled Keywords: Self-Healing Infrastructure; Policy-Driven Automation; Infrastructure as Code (Iac); Intelligent Remediation; Cloud Observability
Depositing User: Editor WJARR
Date Deposited: 20 Aug 2025 11:01
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/3145