An Automated Disaster Recovery Strategies for Fintech Infrastructure

Abstract

This paper aims to present an extensive and well-defined review of the automatic disaster recovery strategies for fintech infrastructure. Since financial operations are gradually relying more on technology, business continuity, and data protection in case of disasters have become fundamental matters. The automation of disaster recovery systems relies on well-designed technologies and methods to reduce downtime, data loss, and financial damage. Organizations are, therefore, able to maintain business continuity and regulatory standards. The article covers AR, deep learning, and AI robotics that will be used for disaster recovery automation. It examines cloud disaster recovery systems' application benefits and deployment considerations, featuring elastic resources, redundancy, and automated failover process. Also, the document surveys the replication set of technologies such as storage level replication, database replication, and file system replication, facilitating real-time cross-site synchronizations. Moreover, the study looks into automated failover operations that detect and execute failure recovery courses, such as load-balancing traffic redirecting to backup sites. In addition, the guide highlights the part played by the operation/automation framework in centralizing control and coordination of disaster recovery processes, linking them with monitoring and alerting systems, and guaranteeing that the recovery methods are properly executed. By looking into the issues, best practices, and consequences of making these automated strategies, this paper hopes to give fintech organizations many valuable hints and practical recommendations about how to improve the level of their disaster management, the amount of lost data, and the continuity of their business in unfamiliar damaging episodic situations.