Abstract
Enterprises that manage their cloud systems through Infrastructure-as-Code (IaC) often push dozens of changes every day. Human operators remain the bottleneck: incident post-mortems show detection latencies of tens of minutes and manual recoveries stretching into hours. A central research question is therefore whether an autonomous controller can reliably self-heal in a modern DevOps environment. We present a self-healing controller architecture that instantiates the classical MAPE-K autonomic loop with Monitoring runtime metrics, Analyzing them against declarative rules, Planning a response, and Executing an idempotent remediation, while recording every decision in a Knowledge store for post-incident forensics. This study defines a reference architecture for an end-to-end, rule-driven self-healing approach for an IaC pipeline that fully builds on open technologies, without the need for specialized hardware or proprietary AIOps platforms.