BUILDING SELF-HEALING SYSTEMS USING AI AND MACHINE LEARNING: ADVANCED PLATFORM ENGINEERING PRACTICES

Abstract

The increasing complexity of modern computing systems, coupled with rapid technological advancements, underscores the need for robust solutions to ensure system reliability and resilience. Traditional management methods, reliant on manual intervention and predefined rules, fall short in addressing the dynamic nature of contemporary IT environments. This paper explores self-healing systems that leverage advanced AI and ML techniques to autonomously detect, diagnose, and recover from faults, significantly improving system performance and reducing downtime. By minimizing human intervention, these systems enhance operational efficiency and system reliability. Recent developments in AI and ML have expanded the capabilities of self-healing mechanisms, making them more sophisticated and effective. This paper examines these advancements, focusing on AI and ML approaches and their impact on system resilience and performance.