Designing Scalable and Fault-Tolerant Architectures for Cloud-Based Integration Platforms
Abstract
This paper discusses how to design scalable and tolerant architectures of cloud integration platforms, in particular, the MuleSoft Anypoint Platform. It highlights the use of essential architectural designs like API gateways, asynchronous messaging, load balancing, and resiliency plans, which are important to high availability and performance levels in cloud ecosystems of enterprises. Organizations can implement cloud-native MuleSoft integration solutions to realize a seamless digital transformation at scale: they can make sure their systems are well-planned enough to sustain dynamic loads and unforeseen failure. The suggested architecture incorporates a blend of failover architecture, auto-scaling, and performance optimization strategies, which are essential in business continuity. The article presents real-life shapes and models that can help businesses to sustain operational effectiveness, scalability, and durability where managing massive integration requirements are required in the cloud. Conclusively, this study offers an overall solution towards the defeating of the challenges that businesses encounter when migrating to the cloud-based systems enabling them to become more agile, efficient, and ready to meet the demands of the emerging technology.
Article Information
Journal |
International Journal of Future Innovative Science and Technology (IJFIST) |
|---|---|
Volume (Issue) |
Vol. 7 No. 6 (2024): International Journal of Future Innovative Science and Technology (IJFIST) |
DOI |
|
Pages |
13839-13851 |
Published |
December 11, 2024 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Srikanth Sriramoju (2024). Designing Scalable and Fault-Tolerant Architectures for Cloud-Based Integration Platforms. International Journal of Future Innovative Science and Technology (IJFIST) , Vol. 7 No. 6 (2024): International Journal of Future Innovative Science and Technology (IJFIST) , pp. 13839-13851. https://doi.org/10.15662/IJFIST.2024.0706004 |
References
No references available for this article