TRANSFORMING APPLICATION OBSERVABILITY THROUGH GENERATIVE AI: A TECHNICAL DEEP DIVE

Authors

  • Rishi Kumar Sharma USA Author

Keywords:

Generative AI Observability, Cloud-Native Monitoring, Edge Computing Analytics, Predictive System Maintenance, AI-Driven Root Cause Analysis

Abstract

Integrating Generative AI with application observability has revolutionized how organizations monitor and maintain their distributed systems. This comprehensive article explores the evolution from traditional monitoring approaches to AI-driven observability solutions, highlighting the transformative impact on operational efficiency, decision-making capabilities, and system reliability. The article examines the implementation of cloud-native frameworks, practical applications, and emerging trends in edge computing integration. By leveraging advanced machine learning algorithms and predictive analytics, organizations have significantly improved anomaly detection, root cause analysis, and proactive issue resolution, leading to substantial cost savings and enhanced system performance across various industries.

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Published

2025-01-16

How to Cite

Rishi Kumar Sharma. (2025). TRANSFORMING APPLICATION OBSERVABILITY THROUGH GENERATIVE AI: A TECHNICAL DEEP DIVE. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY, 16(01), 368-380. https://ijcet.in/index.php/ijcet/article/view/214