Cleveland State University, USA.
World Journal of Advanced Engineering Technology and Sciences, 2025, 15(01), 2211-2218
Article DOI: 10.30574/wjaets.2025.15.1.0426
Received on 07 March 2025; revised on 23 April 2025; accepted on 25 April 2025
This article presents a comprehensive overview of self-healing cloud architectures, examining their transformative impact on modern infrastructure design. It details how these intelligent systems automatically detect, diagnose, and recover from failures without manual intervention, significantly reducing downtime and operational costs across various industries. The article explores the foundational components of self-healing systems including health monitoring, automation frameworks, and AI-driven predictive capabilities. It further examines implementation strategies such as microservices architecture, circuit breakers, and observability practices that collectively enhance system resilience. Through real-world applications in e-commerce, financial services, and cloud-native environments, the article demonstrates how self-healing capabilities have become essential for maintaining service availability and business continuity in today's competitive digital landscape.
Self-Healing Architecture; Cloud Resilience; Automated Remediation; Predictive Maintenance; Fault Detection
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Praveen Kumar Thota. Demystifying self-healing cloud architectures: Building resilient systems for modern applications. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(01), 2211-2218. Article DOI: https://doi.org/10.30574/wjaets.2025.15.1.0426.