AI-Powered Load Prediction for Ultra-Scalable High Performance APIs
Vol. 2 , Issue 4 (2024) · pp. 46-53
DOI: 10.64180/ijef.242405
Abstract
Application Programming Interfaces (APIs) are essential to modern digital services because they are used to connect distributed applications, microservices, and cloud platforms. With the rising need of real-time applications globally, APIs have to be able to support the high request volumes with the low latency and high availability. Old fashioned load balancing and resource allocation schemes tend to be reactive and rely on some predetermined threshold or historical average, preventing them in very dynamic traffic conditions. Artificial Intelligence (AI) can be used to provide more opportunities in predictive infrastructure management since it allows them to foresee fluctuations in workload and proactively allocate resources.