Infrastructure as Code: Historical Insights and Future Directions

Vijay Kartik Sikha, Dayakar Siramgari, Satyaveda Somepalli

Abstract: Infrastructure as Code (IaC) revolutionizes IT infrastructure management by automating provisioning and configuration through machine-readable definition files, replacing manual processes. This paper explores the evolution of IaC, highlighting its impact on efficiency, scalability, and security. Key IaC tools like Terraform, AWS CloudFormation, and Azure Resource Manager have transformed infrastructure management by enabling versioned, repeatable, and automated deployments. The integration of AI promises further advancements, including AI-assisted IaC, predictive scaling, and anomaly detection. Additionally, data centers play a crucial role in supporting AI workloads with high-performance computing resources, scalable storage, and efficient networking. As AI becomes more prevalent, energy-efficient data centers will be essential for sustainable AI infrastructure management. Case studies from Netflix, Spotify, and Expedia illustrate successful IaC implementation. The paper concludes by discussing future trends and AI-driven integration in IaC, emphasizing the importance of robust infrastructure for AI workloads.

Keywords: Infrastructure as Code (IaC), cloud computing, automation, Terraform, AWS CloudFormation, Azure Resource Manager, AI-driven infrastructure, high-performance computing, scalable storage, networking, energy efficiency, data centers, AI workloads, predictive scaling, anomaly detection, secret management, automated audits, Artificial Intelligence

How to Cite?: Vijay Kartik Sikha, Dayakar Siramgari, Satyaveda Somepalli, "Infrastructure as Code: Historical Insights and Future Directions", Volume 12 Issue 8, August 2023, International Journal of Science and Research (IJSR), Pages: 2549-2558, https://www.ijsr.net/getabstract.php?paperid=SR24820064820, DOI: https://dx.doi.org/10.21275/SR24820064820