AI-Powered Observability Across Mainframes and Cloud-Native Architectures: A Unified Approach to Hybrid IT Operations

The increasing complexity of hybrid IT ecosystems spanning both legacy mainframes and modern cloud-native systems has heightened the demand for advanced observability. Conventional monitoring techniques fail to offer integrated insights across such heterogeneous platforms, often resulting in operational blind spots. This paper presents a unified observability framework augmented with artificial intelligence (AI), which enables organizations to achieve real-time visibility, intelligent alerting, and proactive issue resolution. By examining architectural design, implementation strategies, and practical examples, this article demonstrates how AI can facilitate seamless operations across hybrid environments while reducing operational costs, improving mean time to resolution (MTTR), and boosting system reliability.