Sarcouncil Journal of Engineering and Computer Sciences

Abstract: This scholarly article explores the transformative synergy between observability and Artificial Intelligence for IT Operations (AIOps) in modern digital environments. It examines how observability extends beyond traditional monitoring through logs, metrics, and traces to provide comprehensive system visibility, while AIOps applies machine learning algorithms to process this vast operational data. The integration of these complementary disciplines creates a powerful feedback loop that enables predictive incident management, intelligent alert correlation, automated root cause analysis, and optimized resource management. Through an extensive review of recent times, the article demonstrates how this synergistic relationship fundamentally shifts IT operations from reactive to proactive paradigms, resulting in enhanced system reliability, reduced downtime, improved operational efficiency, and significant business value. The implementation of standardized frameworks like OpenTelemetry further accelerates these benefits by enabling consistent data collection across heterogeneous environments, providing the foundation for increasingly sophisticated AIOps capabilities.