PreprintReviewVersion 1Preserved in Portico This version is not peer-reviewed
Developing Real-Time Alert Systems With SpringBoot: Outline the Process of Creating an Application to Monitor and Alert Discrepancies in Trade Inquiries
Version 1
: Received: 3 February 2024 / Approved: 5 February 2024 / Online: 5 February 2024 (06:21:37 CET)
How to cite:
Kapil, D. Developing Real-Time Alert Systems With SpringBoot: Outline the Process of Creating an Application to Monitor and Alert Discrepancies in Trade Inquiries. Preprints2024, 2024020227. https://doi.org/10.20944/preprints202402.0227.v1
Kapil, D. Developing Real-Time Alert Systems With SpringBoot: Outline the Process of Creating an Application to Monitor and Alert Discrepancies in Trade Inquiries. Preprints 2024, 2024020227. https://doi.org/10.20944/preprints202402.0227.v1
Kapil, D. Developing Real-Time Alert Systems With SpringBoot: Outline the Process of Creating an Application to Monitor and Alert Discrepancies in Trade Inquiries. Preprints2024, 2024020227. https://doi.org/10.20944/preprints202402.0227.v1
APA Style
Kapil, D. (2024). Developing Real-Time Alert Systems With SpringBoot: Outline the Process of Creating an Application to Monitor and Alert Discrepancies in Trade Inquiries. Preprints. https://doi.org/10.20944/preprints202402.0227.v1
Chicago/Turabian Style
Kapil, D. 2024 "Developing Real-Time Alert Systems With SpringBoot: Outline the Process of Creating an Application to Monitor and Alert Discrepancies in Trade Inquiries" Preprints. https://doi.org/10.20944/preprints202402.0227.v1
Abstract
In the domain of financial trading, where accuracy and swift response to data discrep- ancies are paramount for maintaining clienttrust, our research paper delves into the development of a real-time alert system utilizing SpringBoot, a framework renowned for its robustness and adaptability in enterprise applications. We embark on a comprehensive journey, beginning with addressing thefoundational challenges inherent in monitoring trade inquiries - the necessity for real-time processing, unwavering data accuracy,and ensuring unwavering system reliability. The study then methodically transitions to the architectural design, where we explore howSpringBoot’s capabilities are optimally utilized to meet these challenges. Following this, we delve into the im- -plementationphase, detailing the strategic selection of compatible technologies and methods for effective data management and discrepancydetection. The paper culminates in a thorough evalu- ation of the system, where we assess performance across various operationalscenarios, scrutinize the accuracy of the discrepancy detection mechanisms, and integrate real-world feedback from users in thetrading sector. This holistic approach not only highlights the versatility and efficiency of SpringBoot in creating reliable alert systems in the high-stakes world of financial trading but also serves as a detailed guide for similar endeavors in this field
Keywords
Financial Trading Systems; Real-Time Alert Systems; SpringBoot; Microservices Architecture; Machine Learning in Finance; DataProcessing; Apache Kafka; Blockchain in Financial Systems; Cloud Computing; User Interface Design
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
