Volume 2 Issue 2 | 2025 | View PDF
Paper Id:IJMSM-V2I2P102
doi: 10.71141/30485037/V2I2P102

Autonomous Platform Engineering Self-Healing Infrastructure-as-Code (IaC) with GPT-4 Turbo and OpenTofu

Abdul Samad Mohammed, Radhakrishnan Pachyappan, Srinivas Bangalore Sujayendra Rao

Citation:
Abdul Samad Mohammed, Radhakrishnan Pachyappan, Srinivas Bangalore Sujayendra Rao, "Autonomous Platform Engineering Self-Healing Infrastructure-as-Code (IaC) with GPT-4 Turbo and OpenTofu" International Journal of Multidisciplinary on Science and Management, Vol. 2, No. 2, pp. 17-25, 2025.

Abstract:
Integrating GPT-4 Turbo with OpenTofu represents a significant advancement in the development of autonomous, self-healing Infrastructure as Code (IaC) systems. Traditional IaC tools like Terraform and Ansible tend to heavily depend on manual interventions, which can result in configuration inconsistencies, security risks, and higher downtime. With the integration of AI-powered automation, this integration increases real-time error detection, remediation, and optimization, hence lowering human error and operational costs. OpenTofu, being an open-source solution, provides strong state management, idempotency, and a community-based methodology, enabling self-healing functions. Yet, challenges persist such as ensuring accuracy in AI, preventing security breaches, resolving ethical accountability, and breaking organizational barriers. Future research must emphasize adding reinforcement learning, federated learning, block chain for auditability, and developing exhaustive AI governance models. The integration of GPT-4 Turbo and OpenTofu promises a revolutionary leap toward autonomous, robust, and scalable cloud infrastructure, fundamentally transforming the efficiency and reliability of cloud operations.

Keywords: Cloud; infrastructure-as-code (Iac);GPT-4 Turbo; OpenTofu.

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