Adaptive Resilience in API Polling Frameworks: A Hybrid Approach with Retry Strategies, Timeout Policies, Fallback Mechanisms, and Event-Driven Strategies

The growing reliance on distributed systems and microservices architecture necessitates resilient API polling frameworks capable of handling transient failures without compromising system stability. This research introduces a hybrid framework that integrates adaptive retry strategies with exponential backoff and jitter, dynamically tuned timeout policies, robust fallback mechanisms, and event-driven strategies. These components collectively enhance the ability of API polling frameworks to handle transient failures by reducing response times, conserving resources, and enabling more intelligent recovery mechanisms. By incorporating event-driven approaches, the framework optimizes communication flow and reduces unnecessary polling. This paper establishes a high-level blueprint for scalable, fault-tolerant API polling frameworks, laying the foundation for future innovation in resilient distributed systems. Keywords Resilient Systems, API Polling, Event-Driven Strategies, Transient Failures, Adaptive Retry Strategies, Timeout Policies, Fallback Mechanisms, Distributed Systems, Fault Tolerance, Scalability, Microservices