Scalable Revenue Platform Design: Architectural Principles and Best Practices
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V7I3P106Keywords:
Scalable Revenue Platforms, Architecture, Microservices, Cloud Computing, Machine Learning, Digital CommerceAbstract
In the constantly emerging new world of e-business, the requirements for robust revenue solutions are manifest. These platforms need to be scalable and relatively stable, and this should also cover different payment methods and business models. The following article aims to reveal the theory and practices of scaling revenue platforms and explains the fundamental principles of architecture. The focus is on discussing the design of the system, its growth pattern, and the use of up-to-date trends, including microservices, cloud computing, and machine learning. Furthermore, the paper looks at successful case studies of cloud computing implementation with references made to lessons learnt. In the current paper, based on the literature review, the common issues are identified, and the corresponding methodologies are suggested. The results and discussions section gives evidence about realistic implementation and advantages of the proposed design principles. Last but not least, we are going to discuss the prospects, as well as future research directions in the constantly evolving branch of knowledge.
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