Zero-Touch Reliability: The Next Generation of Self-Healing Systems
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V5I4P107Keywords:
Zero-touch reliability, self-healing systems, autonomous operations, predictive maintenance, AIOps, observability, resilienceengineering, faulttolerance, rootcauseanalysis, AI-drivenautomationAbstract
A fundamental first step toward autonomous systems with minimum human intervention in a period when digital infrastructures must operate at before unheard-of speed, scale, and complexity is "zero-touch reliability". This concept clarifies the transition from reactive, conventional maintenance to predictive and autonomous system health management. Driving this change is essentially self-healing technology—systems able to recognize, diagnose, and solve problems in real-time without pausing service or asking human assistance. Resilience becomes progressively more important as businesses move to hybrid and multi-cloud systems since hand-dependent dependability engineering is inadequate. Basic principles of zero-touch dependability specify artificial intelligence-driven monitoring, event correlation, automatic rollback and patching, anomaly identification, and root cause analysis. These developments in terms of technological ones as well as in terms of intelligence and flexibility brought into system architecture influence operational culture. Examining a large-scale e-commerce platform, this case study shows how the application of self- healing technology reduced incident resolution times by more than 80%, slashed downtime, and allowed engineering teams concentration on innovation instead of crisis management. The particular results of including observability, automation, and machine learning to build robust, constantly running digital systems are shown in this work.Beyond simple automation, zero-touch dependability is finally about building systems that learn, adapt, and self-repair with minimum intervention, thus announcing a new era in which digital ecosystems can preserve their health and performance autonomously at scale. This paradigm shift helps businesses to scale aggressively, significantly lower running costs, and improve customer experiences—all of which help to provide the foundation for really intelligent infrastructure.
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