Architecting Resilient Cloud Systems: Lessons from AWS and the Future of AI-Enhanced Fault Tolerance
Abstract: In today's fast-moving digital world, making robust software systems has become a prerequisite for any organization looking to assure business continuity and sustain competitive advantage. Resilience is defined as the capacity of a system to absorb, survive, and recover from failures, disruptions, or unexpected events. The authors of this paper delve into various design patterns and strategies for building resilient software systems. We motivate this with real-world examples and outline an architecture that illustrates such patterns, showing how AI and ML techniques could be integrated to boost resilience further.
Keywords: resilient software, business continuity, design patterns, AI integration, system recovery
How to Cite?: Sai Tarun Kaniganti, "Architecting Resilient Cloud Systems: Lessons from AWS and the Future of AI-Enhanced Fault Tolerance", Volume 12 Issue 1, January 2023, International Journal of Science and Research (IJSR), Pages: 1311-1319, https://www.ijsr.net/getabstract.php?paperid=SR24716230459, DOI: https://dx.doi.org/10.21275/SR24716230459