Method and System for Quickly Building Cloud Network Data Collection Capability
Jinfu Yu, Jiahuan Zheng, Yong Xiang, Zhiming Yang · 2024
In the network operation of telecommunications, the efficient collection and real-time monitoring of cloud network configuration, performance, alarms, and log data are closely related to the stable and efficient operation of communication networks. The traditional solution is to develop data collection micro services based on cloud native platforms according to manufacturers, device models, protocol types, and data types. With the continuous increase of docking manufacturers, device models, and protocol types, More and more micro services need to be developed and maintained, and the code is scattered among various micro service modules, making it difficult to reuse. The large amount of repetitive coding by colleagues brings a lot of workload, and the efficiency of iterative delivery is low. The traditional monthly release and update model also brings problems such as lengthy processes and long repair time cycles. Therefore, this article introduces a method and system for quickly building cloud network data collection capabilities. By abstracting the processes of network element data collection, parsing, storage, notification, etc., combined with the online rule management module, it realizes the online configuration and development of rule scripts, and dynamically takes effect. The architecture separates the task scheduling layer, protocol data collection layer, and data parsing layer, and connects data collection and data parsing through message middleware, achieving the ability of cloud network data collection to have online configuration, online testing, dynamic updates, and dynamic orchestration, improving the delivery efficiency of iterations, and solving the problem of current network equipment not having joint debugging in the laboratory.