FlexiRoute: Efficient API Migration - Enhancing Scalability and Stability

International Journal of Computer Science and Engineering

© 2025 by SSRG - IJCSE Journal

Volume 12 Issue 1

Year of Publication : 2025

Authors : Tarun Mathur

10.14445/23488387/IJCSE-V12I1P102

How to Cite?

Tarun Mathur, "FlexiRoute: Efficient API Migration - Enhancing Scalability and Stability," SSRG International Journal of Computer Science and Engineering , vol. 12,  no. 1, pp. 6-10, 2025. Crossref, https://doi.org/10.14445/23488387/IJCSE-V12I1P102

Abstract:

The FlexiRoute framework addresses Application Programming Interface (API) migration challenges in a fully new and resource-effective manner for distributed systems, placing scalability, stability, and adaptability at the heart of resource constrained environments. One of the very important activities carried out within modern distributed systems is that of API migration, when evolved business needs, upgraded technologies, or scaling of a system necessitate such a process. Most classic migration strategies rely on statically configured duplicated infrastructures or require heavy and hazardous human interventions. By contrast, FlexiRoute introduces a new idea: to embed dynamic routing logic within service traffic headers so that traffic can be real-time rerouted without duplicate systems. This header-based traffic management saves resources for more flexibility and preciseness during API transitions. Key FlexiRoute functionalities revolve around stochastic routing mechanisms based on the use of TraceId metadata that grant fine granularity features in control and traffic monitoring of flow. Everything starts with the migration of broad scenarios through progressive ones like canary deployment and failover strategies integrated into the minimum or even zero disruptions within the provided services. Such capabilities enable FlexiRoute to handle typical migration challenges that come with balancing traffic, ensuring backward compatibility, and error isolation while maintaining system reliability. This significantly simplifies the migration process by avoiding heavy manual reconfigurations and hence reduces downtime, which will improve productivity. Besides, being efficient in such resource-constrained computational or infrastructural setups inherently adds considerable value to small- to medium-scale distributed systems or edge computing applications. FlexiRoute provides a modern answer to API migration challenges in an effective, adaptable, and resource-aware way and will hence allow organizations to conduct seamless and low-risk transitions within their dynamic, continuously evolving system landscapes.

Keywords:

API migration, Dynamic routing, Header-based traffic, Resource optimization, Scalability.

References:

[1] Prantosh Kumar Paul, and Mrinal K. Ghose, “Cloud Computing: Possibilities, Challenges and Opportunities with Special Reference to its Emerging Need in the Academic and Working Area of Information Science,” Procedia Engineering, vol. 38, pp. 2222-2227, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Tyler Davis, The Ultimate Guide to Monolithic Architecture, Graph AI, 2025. [Online]. Available: https://www.graphapp.ai/blog/the ultimate-guide-to-monolithic-architecture
[3] Alexander Lercher et al., “Microservice API Evolution in Practice: A Study on Strategies and Challenges,” Journal of Systems and Software, vol. 215, pp. 1-19, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Mahidhar Mullapudi, “Phased Rollout Configuration: A Comprehensive Approach for Feature Releases in Software Systems,” International Journal of Science and Research, vol. 8, no. 8, pp. 2306-2309, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Prakarsh, and Jyoti Sahoo, Understanding the Basics of a Canary Deployment Strategy, Devtron AI. [Online]. Available: https://devtron.ai/blog/canary-deployment-strategy/
[6] Traffic Manager, ScienceDirect. [Online]. Available: https://www.sciencedirect.com/topics/computer-science/traffic-manager
[7] Kamal Kumar et al., “Analysis of API Architecture: A Detailed Report,” 2023 IEEE 12th International Conference on Communication Systems and Network Technologies, Bhopal, India, pp. 880-884, 2023.
[CrossRef] [Google Scholar] [Publisher Link]