Authors: Jaya Ram Menda
Abstract: Increasing architectural complexity, regulatory scrutiny, and real time service expectations within banking and financial services enterprises have exposed critical limitations in fragmented monitoring and reactive incident practices. The objective of this research is to design and evaluate a resilient and compliance driven observability architecture that unifies monitoring, telemetry correlation, and proactive incident intelligence to support operational continuity and regulatory accountability. The research addresses the problem of limited end to end visibility across distributed systems and the inability of traditional tools to correlate performance, reliability, and risk signals at enterprise scale. A mixed methodology approach is adopted, combining quantitative analysis of telemetry accuracy, alert precision, and incident resolution metrics with qualitative insights gathered from architectural reviews and operational assessments across large financial service environments. The findings demonstrate that unified observability architectures significantly improve anomaly detection accuracy, reduce mean time to resolution, and enhance compliance traceability by correlating logs, metrics, and traces into actionable intelligence. The study introduces an architectural framework that integrates proactive signal analysis and policy aligned observability workflows, offering innovation in how operational data supports both resilience and governance objectives. The contributions extend to strategic guidance for enterprises seeking to modernize observability while meeting regulatory demands, as well as academic insight into the convergence of system reliability engineering and compliance driven architecture. The results affirm that observability, when designed as a core enterprise capability, becomes a critical enabler of trust, stability, and operational excellence within the financial services industry.
International Journal of Science, Engineering and Technology