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Informative Article | Engineering Science | India | Volume 10 Issue 3, March 2021 | Rating: 5.2 / 10
Enhancing Enterprise Efficiency and Scalability through Asynchronous Processing in Pega Platform
Abstract: This paper investigates the role and efficacy of asynchronous processing within the Pega Platform, focusing on its application in background processing and enterprise-level integration. Pega, a robust business process management system, offers diverse mechanisms for asynchronous operations, which are vital for efficient and scalable enterprise applications. The paper delves into various aspects of asynchronous processing in Pega, including messaging design patterns, types of messaging (synchronous and asynchronous), and the implementation of asynchronous integration through mechanisms like Load-DataPage and Run-In-Parallel options. It also explores Pega's support for background processing via queue processors, job schedulers, standard and advanced agents, service-level agreements, and listeners. These features collectively enhance Pega's ability to handle long-running services, optimize resource utilization, and improve overall application performance. By analyzing real-world scenarios and Pega's in-built features for asynchronous processing, this paper underscores the significance of asynchronous methods in modern enterprise software development and their impact on system efficiency and scalability.
Keywords: Asynchronous Processing, Multi-Thread Processing, Scalability, System Efficiency
Edition: Volume 10 Issue 3, March 2021,
Pages: 1979 - 1984