EDGE COMPUTING AND CLOUD-NATIVE TECHNOLOGIES: SYNERGIES FOR REAL-TIME, LOW-LATENCY APPLICATIONS

Abstract

Edge computing and cloud-native technologies have emerged as pivotal paradigms in addressing the increasing demand for real-time, low-latency applications. Concurrently, cloud-native technologies, characterized by microservices architecture and containerization, offer scalability and resilience in application deployment. This paper explores the integration of these two paradigms to optimize the performance of latency-sensitive applications. We analyze the challenges of integrating microservices with edge computing, examine architectural patterns that facilitate their synergy, and investigate strategies to ensure low-latency communication between cloud-native services and edge devices. We propose a comprehensive framework that leverages the strengths of both edge computing and cloud-native technologies to meet the stringent requirements of real-time applications.