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