As the core system of provincial meteorological service, the meteorological big data cloud platform (referred to as Tianqing) needs to work stably and efficiently for uninterrupted 7×24 hours. The Tianqing system has many operation modules and complex processing tasks. However, the traditional manual monitoring mode has low monitoring efficiency and cannot find faults or other problems existing in the operation in time. In this study, the Java, Python, and Bash shell languages are used to develop a full-process monitoring and warning system for Tianqing based on Enterprise WeChat. The system collects and formats the comprehensive status information generated during the operation of each module of Tianqing into monitoring and warning information and finally sends it to the operation and maintenance personnel through the Enterprise WeChat, which realizes the quick perception of the operation status of each operation module of Tianqing. The operation effect of the system shows that the system is safe, reliable, and stable, and it can help operation and maintenance personnel to locate system faults in time and improve the efficiency of fault handling promptly. In addition, it has achieved positive application effects in Tianqing data monitoring and operation guarantee.