Beyond HPA: Event-Driven Autoscaling with KEDA and AI-Driven  Observability for Cloud-Native Financial Platforms

Nagaraju Unnava

Beyond HPA: Event-Driven Autoscaling with KEDA and AI-Driven Observability for Cloud-Native Financial Platforms

Authors

Nagaraju Unnava

Keywords:

Event-Driven Autoscaling, Kubernetes KEDA, AI-Powered Observability, Cloud Native Financial Platforms, Business-Aware Scaling

Abstract

Financial platforms based on the cloud face unprecedented challenges in having to deal with thevolume of transactions that may explode without warning during the world promotion campaigns,when the season is in full swing, and during regional payment festivals. Classical Horizontal PodAutoscaler constructs in Kubernetes manifest a set of inherent constraints

References

V. Rajkumar, "Transformative Applications Of Queueing Models In Computer Science", IJCRT, 2024. Available: https://ijcrt.org/papers/IJCRT2406369.pdf

Downloads

Published

2026-03-30

How to Cite

Nagaraju Unnava. (2026). Beyond HPA: Event-Driven Autoscaling with KEDA and AI-Driven Observability for Cloud-Native Financial Platforms. Journal of Computational Analysis and Applications (JoCAAA), 35(3), 574–583. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5236