Research Article

Transforming Digital Banking Reliability: A Comprehensive Framework for F5 BIG-IP Telemetry Driven Observability and Site Reliability Engineering

by  Jayanna Hallur, Kranthi Godavarthi, Gokul Pandy, Suhas Jangoan
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Issue 96
Published: April 2026
Authors: Jayanna Hallur, Kranthi Godavarthi, Gokul Pandy, Suhas Jangoan
10.5120/ijca826d1d82d2e3
PDF

Jayanna Hallur, Kranthi Godavarthi, Gokul Pandy, Suhas Jangoan . Transforming Digital Banking Reliability: A Comprehensive Framework for F5 BIG-IP Telemetry Driven Observability and Site Reliability Engineering. International Journal of Computer Applications. 187, 96 (April 2026), 6-14. DOI=10.5120/ijca826d1d82d2e3

                        @article{ 10.5120/ijca826d1d82d2e3,
                        author  = { Jayanna Hallur,Kranthi Godavarthi,Gokul Pandy,Suhas Jangoan },
                        title   = { Transforming Digital Banking Reliability: A Comprehensive Framework for F5 BIG-IP Telemetry Driven Observability and Site Reliability Engineering },
                        journal = { International Journal of Computer Applications },
                        year    = { 2026 },
                        volume  = { 187 },
                        number  = { 96 },
                        pages   = { 6-14 },
                        doi     = { 10.5120/ijca826d1d82d2e3 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2026
                        %A Jayanna Hallur
                        %A Kranthi Godavarthi
                        %A Gokul Pandy
                        %A Suhas Jangoan
                        %T Transforming Digital Banking Reliability: A Comprehensive Framework for F5 BIG-IP Telemetry Driven Observability and Site Reliability Engineering%T 
                        %J International Journal of Computer Applications
                        %V 187
                        %N 96
                        %P 6-14
                        %R 10.5120/ijca826d1d82d2e3
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
  • McKinsey & Company, "The 2024 McKinsey Global Payments Report," McKinsey & Company Publications, 2024.
  • Gartner Research, "The Cost of Downtime in Financial Services: 2023 Analysis," Gartner Inc., 2023.
  • B. Beyer, C. Jones, J. Petoff, and N. R. Murphy, Site Reliability Engineering: How Google Runs Production Systems, O'Reilly Media, 2016.
  • F5 Networks, "BIG-IP Local Traffic Manager: Concepts," F5 Networks Technical Documentation, 2024. [Online]. Available: https://techdocs.f5.com
  • F5 Networks, "Telemetry Streaming Documentation," F5 Cloud Docs, 2024. [Online]. Available: https://clouddocs.f5.com/products/extensions/f5-telemetry-streaming
  • J. Hallur, "Significant Advances in Application Resiliency: The Data Engineering Perspective on Network Performance Metrics," Journal of Technology and Systems, vol. 6, no. 7, pp. 60-71, 2024.
  • Apache Software Foundation, "Apache Kafka Documentation," Apache Kafka Project, 2024. [Online]. Available: https://kafka.apache.org/documentation
  • F5 Networks, "Advanced WAF Bot Defense," F5 Networks White Paper Series, 2024.
  • R. Aguirre, "IBM and F5 Cloud Reference Guide: Overview, Capabilities and Use Cases for Providing End-to-End Infrastructure as a Service," IBM Technical White Paper, 2011.
  • OpenTelemetry Authors, "OpenTelemetry Specification and Documentation," Cloud Native Computing Foundation, 2024. [Online]. Available: https://opentelemetry.io/docs
  • J. Hallur, "From Monitoring to Observability: Enhancing System Reliability and Team Productivity," International Journal of Science and Research, vol. 13, no. 10, pp. 602-606, October 2024.
  • B. Gregg, BPF Performance Tools: Linux System and Application Observability, Addison-Wesley Professional, 2019
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

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

Powered by PhDFocusTM