In order to realize the management and real-time visual display of the stored air quality data in the cloud, a cloud data monitoring and visualization system based on Spring Boot was established. The system was a B/S architecture, the Spring Boot framework was used to build a back-end micro-service instance to make the configuration and monitoring become simple, the Vue.js framework implemented front-end page development. The Axios plug-in was used to implement data interaction. It reduced the server overhead and response while implementing front-end connection and logical interaction. The system could query 11 kinds of air component information through the database, including: PM_1.0, PM_2.5, PM₁₀, CO, CO₂, NO, NO₂, O₃, SO₂, formaldehyde, TVOC, in addition to monitoring temperature, humidity, wind speed, coordinates, time and other related attributes.The system realized multiple functions such as data monitoring download, alarm management, home web front-end visualization, Baidu map visualization, etc. The program was deployed in the Alibaba Cloud, which was convenient for users to access web projects remotely.The combination of Spring Boot framework and Vue realized separation of front and back ends, which made the system to have sound stability, real-time and high efficiency.