Modern financial institutions face unprecedented challenges in maintaining reliable, secure, and high-performing digital banking platforms. With the majority of customer interactions now occurring through mobile applications and web portals, even minor performance degradations can significantly impact customer satisfaction and business outcomes. Traditional infrastructure monitoring approaches have proven inadequate because they focus primarily on backend system health rather than actual customer experience. This paper presents a comprehensive framework for utilizing F5 BIG-IP Application Delivery Controller telemetry to enhance Site Reliability Engineering practices and achieve true observability in banking environments. We examine the collection of logs, metrics, and traces from BIG-IP devices, describe scalable ingestion pipeline architectures, and demonstrate integration with open-source observability platforms. Through detailed analysis of real-world banking use cases, including customer login performance monitoring, transaction processing optimization, and automated bot traffic detection. This paper described how BIG-IP telemetry enables financial institutions to reduce Mean Time to Detect issues by up to 65 percent and Mean Time to Restore service by 75 percent. The framework establishes end-to-end visibility spanning from customer devices through network infrastructure to backend application servers, providing the comprehensive insight necessary for delivering exceptional digital banking experiences.

Site Reliability Engineering Observability Application Delivery Controller Digital Banking Telemetry Streaming Customer Experience Monitoring Performance Analytics Log Aggregation