Enhancing Root Cause Analysis Efficiency in Large-Scale IT Operations

Abstract

Root Cause Analysis (RCA) is pivotal in identifying and mitigating underlying issues in large-scale IT operations. Traditional RCA methods often struggle with the complexity and scale of modern IT infrastructures. This manuscript explores advanced methodologies and case studies that enhance RCA efficiency, focusing on automation, machine learning, and system integration. By examining contemporary approaches and real-world applications, we aim to provide insights into optimizing RCA processes for large-scale IT environments.