Self-Healing Infrastructure - Predictive Automation for High-Availability Banking Systems

Authors

  • Tripatjeet Singh Senior Cloud Engineer, Dallas-Fort Worth, USA. Author

DOI:

https://doi.org/10.63282/3050-9416.IJAIBDCMS-V7I1P120

Keywords:

Self-Healing Infrastructure, Predictive Automation, Artificial Intelligence, Banking and Financial Systems, Cloud Governance, Operational Resilience, Security, Compliance

Abstract

Modern banking platforms rely even more on intricate, cloud-native architectures to provide real-time, always-on financial services. Reliability of infrastructure has increased significantly, but operational downtime from unsafe changes, configuration drift and human error remain a leading cause of service disruption. This paper presents a prevention-first, self-healing infrastructure paradigm based on predictive automation, built-in governance and analytics-driven use of AI. Instead of concentrating on the reactive remediation, this approach is interested in proactive aversion of high-risk system states before they actualize and affect customers.

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Published

2026-02-18

Issue

Section

Articles

How to Cite

1.
Singh T. Self-Healing Infrastructure - Predictive Automation for High-Availability Banking Systems. IJAIBDCMS [Internet]. 2026 Feb. 18 [cited 2026 Mar. 15];7(1):123-5. Available from: https://ijaibdcms.org/index.php/ijaibdcms/article/view/451