Year: 2025
Type: article
Abstract: Rising as a fundamental concept in DevOps and cloud-native systems, Infrastructure as Code (IaC) allows teams to create, run, and maintain infrastructure utilizing version-activated scripts and code-based templates. Although this has maximized automation and improved repeatability, standard Infrastructure as Code (IaC) is fundamentally static; it states the expected state of the infrastructure rather than describing its objective or how it should adapt with respect to real developments. First to take front stage here is intent-based infrastructure (IBI). By putting directly into the infrastructure definition the desired outcomes such as availability, compliance, or performance IBI adopts a transformative approach. Rather than directly coding every component, engineers say the overarching goal is for the system to read, adapt, and continuously validate the fundamental configuration to match that intent. This method promotes a self-describing system whereby infrastructure may show its present status, explain its decisions, and change in real time by means of tight automation loops. As businesses become more complex and dynamic, the shortcomings of static Infrastructure as Code (IaC) become increasingly evident; so, infrastructure that may display cognitive skills instead of only processing commands is required. This work investigates the fundamental ideas of IBI: that of continual validation, intent resolution, and the blending of runtime telemetry with declarative models. Emphasizing advantages in resilience, operational efficiency, and developer autonomy, this case study examines a cloud-native organization switching from traditional Infrastructure as Code (IaC) to an intent-driven approach. At last, we consider the wider implications of IBI: its capacity to lower deviance, cut labor, and provide a foundation for intelligent, self-regulating infrastructure pretty neatly matched with corporate goals
Author: Hitesh Allam
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411620441