Thota, Praveen Kumar (2025) Demystifying self-healing cloud architectures: Building resilient systems for modern applications. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 2211-2218. ISSN 2582-8266
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Abstract
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.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjaets.2025.15.1.0426 |
Uncontrolled Keywords: | Self-Healing Architecture; Cloud Resilience; Automated Remediation; Predictive Maintenance; Fault Detection |
Depositing User: | Editor Engineering Section |
Date Deposited: | 04 Aug 2025 16:21 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/3222 |