Demystifying infrastructure automation: Evolving from scripts to self-healing systems

Yalla, Mahipal Reddy (2025) Demystifying infrastructure automation: Evolving from scripts to self-healing systems. World Journal of Advanced Research and Reviews, 26 (2). pp. 3682-3689. ISSN 2581-9615

Infrastructure automation has undergone a revolutionary transformation from rudimentary scripting tools to sophisticated AI-driven platforms, fundamentally reshaping enterprise IT operations and competitive dynamics. This evolution began with basic automation scripts in the 1990s, which offered limited coverage and required extensive maintenance, before progressing through several distinct technological epochs. The emergence of configuration management platforms between 2005-2012 introduced the transformative "infrastructure as code" paradigm, enabling version-controlled deployments and reducing configuration drift by over 80%. Cloud orchestration and containerization subsequently accelerated this progression, with enterprises achieving deployment time reductions exceeding 94% and dramatic improvements in operational efficiency. The integration of artificial intelligence represents the latest evolutionary stage, with AIOps platforms detecting anomalies before conventional tools and autonomously resolving routine incidents with exceptional accuracy. Beyond technical benefits, these advancements deliver substantial business value, including accelerated time-to-market, dramatically reduced operational costs, enhanced resilience, improved scalability, and optimized talent utilization. Organizations leveraging advanced automation demonstrate significantly higher profit margins, market share growth, and innovation throughput compared to traditional counterparts. As infrastructure environments continue to increase in complexity and scale, AI-driven automation has become not merely a technological advancement but a strategic business imperative essential for maintaining competitive advantages in rapidly evolving digital markets.