Towards Autonomous Infrastructure Management: A Survey of AI-driven Approaches in Platform Engineering

Abstract

The rapid evolution of digital infrastructure demands innovative solutions to streamline management processes. This survey explores the emerging paradigm of autonomous infrastructure management, focusing on AI-driven approaches within platform engineering. By synthesizing current research and industry practices, we delineate the landscape of autonomous infrastructure management, examining its key components, challenges, and potential benefits. We discuss various AI techniques, including machine learning, optimization algorithms, and cognitive computing, employed to enable autonomy in infrastructure management tasks. Furthermore, we analyze real-world implementations and assess their effectiveness in enhancing system reliability, scalability, and efficiency. Through this comprehensive review, we aim to provide insights into the trajectory of autonomous infrastructure management and highlight avenues for future research and development.