Enhanced Observability in Microservices with Agentic LLMs
International Research Journal of Modernization in Engineering Technology and Science · 2025
This comprehensive article explores the transformation of observability in distributed systems by integrating Agentic Large Language Models (LLMs).The article examines the limitations of traditional observability approaches and demonstrates how LLM-enhanced systems address critical challenges in data correlation, incident response, and system monitoring.Through extensive research across multiple organizations, the paper presents empirical evidence of improvements in system reliability, incident detection, and automated remediation.The article thoroughly examines the technical and operational benefits of LLM integration in modern observability platforms, including real-time analysis capabilities, semantic unification, closed-loop automation, and implementation considerations.