AI-ENABLED AUTONOMOUS INFRASTRUCTURE MONITORING AND SELF-HEALING CLOUD SYSTEMS
DOI:
https://doi.org/10.15662/vmn85z38Keywords:
AI-Driven Monitoring, Autonomous Systems, Self-Healing Infrastructure, Cloud Computing, Predictive Analytics, Anomaly Detection, AIOps, Observability, Machine Learning in IT Operations, Fault Detection and Recovery, Intelligent Automation, Cloud Resilience, Distributed Systems Monitoring, Reinforcement Learning, Infrastructure OrchestrationAbstract
The rapid evolution of cloud computing has introduced unprecedented complexity in managing large-scale, distributed infrastructure environments. Traditional monitoring approaches, which rely heavily on manual intervention and rule-based alerting, are increasingly insufficient in ensuring system reliability, performance optimization, and rapid incident resolution. This paper explores the emerging paradigm of AI-enabled autonomous infrastructure monitoring and self-healing cloud systems, which leverage machine learning, predictive analytics, and intelligent automation to proactively detect, diagnose, and remediate system anomalies.
The proposed approach integrates real-time telemetry data, anomaly detection models, and automated orchestration mechanisms to enable adaptive and resilient cloud operations. By incorporating techniques such as time-series forecasting, root cause analysis, and reinforcement learning-based decision systems, organizations can significantly reduce downtime, minimize operational overhead, and enhance service availability. The study also examines architectural frameworks that combine observability platforms, AI pipelines, and cloud-native orchestration tools to support continuous monitoring and autonomous recovery.
Furthermore, this paper highlights key challenges, including data quality, model drift, explainability, and integration with legacy systems, while proposing mitigation strategies aligned with enterprise-scale deployments. Through conceptual models and industry-aligned practices, the research demonstrates how AI-driven self-healing systems can transform reactive IT operations into proactive and predictive ecosystems, ultimately improving system resilience and operational efficiency in modern cloud environments.
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