Revolutionizing mobile platform engineering: AI-driven event logging for enhanced performance and cost efficiency

Mobile platform engineering faces unique challenges that impact performance and operational costs. This article explores the revolutionary potential of AI-driven event-logging systems in addressing these issues. By transitioning from traditional to AI-enhanced logging techniques, we significantly enhance performance through machine learning-based log prioritization, generative AI for root cause analysis, and efficient local event chain caching. This study provides a comparative analysis of conventional methods versus AI-driven systems, highlighting substantial improvements in error detection, system reliability, and cost efficiency. Real-world implementations and theoretical frameworks demonstrate how these advanced logging systems meet mobile-specific requirements such as protocol-agnostic logging, network state management, and battery optimization. The findings suggest that AI-driven logging not only transforms mobile platform engineering through enhanced operational performance but also provides scalable solutions that can adapt to evolving technological landscapes.