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In the dynamic realm of software development, DevOps has emerged as a transformative methodology that merges software development (Dev) and IT operations (Ops) to shorten the development life cycle while delivering features, fixes, and updates more frequently in close alignment with business objectives. However, the relentless pace of today's development cycles necessitates more than just streamlined processes; it demands smart, predictive mechanisms to handle tasks that are traditionally manual and time-consuming. This is where Artificial Intelligence (AI) and Machine Learning (ML) step into the frame, especially in the context of complex, distributed environments managed through Linux Bash.