Access Point Management Using Java Based Microservice

This research paper explores the design and implementation of an event-driven monitoring system for Wi-Fi6 Access Points (APs) using Java-based microservices architecture. WiFi 6's primary advantage over other standards is that it provides maximum speed and accessibility in congested networks. The system aims to enhance network management capabilities by leveraging real-time event processing and Kafka messaging infrastructure. Key components include event listeners for capturing Quality of Experience (QoE) and Trap events via Kafka topics from APs, microservices for event processing, and Kafka topics for inter-service communication. The paper discusses the architecture, functionality, and integration of each component, as well as the system's ability to identify and handle various event types, such as ap-info and user reports. Additionally, the paper addresses error handling mechanisms and debugging practices for events with undefined syntax. Overall, the research contributes to the advancement of network monitoring solutions through the utilization of microservices and events-driven architectures.