Towards Zero Downtime: Advancing Site Reliability Engineering with AI and Automation
Abstract
Site Reliability Engineering (SRE) has become a cornerstone of modern IT infrastructure, yet achieving zero downtime remains a challenge. This paper investigates the integration of AI and automation in advancing SRE practices. We present novel methodologies for anomaly detection, predictive maintenance, and automated incident response using AI-driven tools. A comparative analysis with traditional SRE practices demonstrates significant improvements in system reliability and operational efficiency. The findings underscore the potential of AI to redefine reliability standards in complex systems.
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