The Climate Interactive Plotting and Analysis System (CIPAS) serves as the core business system for climate monitoring, diagnosis, and prediction at the National Climate Centre. The Meteorological Big Data Cloud Platform (Tianqing) functions as a digitised integration platform, founded on the meteorological proprietary cloud and public cloud. This includes exchange and quality control systems, product processing systems, mining, analysis systems, storage, and service systems. Leveraging various data sources, Tianqing conducts standardized quality controlling and processing to generate statistical, gridbased, and multisource fusion products, supporting the integration of national meteorological applications and shared services. As of 2021, CIPAS has established comprehensive and deep integration with Tianqing concerning data sources, algorithms, products and other dimensions, officially releasing the CIPAS 3.0 version based on the “Cloud+Client” business model. To ascertain the stable operation of CIPAS 3.0, a realtime monitoring application grounded on the Real-Time Monitoring System of Integrated Meteorological Operation (Tianjing) has been crafted and implemented. Tianjing supports an efficient distributed processing and storage system, encompassing information collection, preprocessing, and storage processes, and establishing various technical specifications. This provides a robust platform foundation for the construction of CIPAS 3.0 monitoring applications. This paper presents a detailed analysis of the technical formation and business process of CIPAS 3.0, proposing the monitoring requirements and introducing the architecture and process design of CIPAS 3.0 monitoring application. Additionally, it offers a comprehensive description of the product monitoring process and data source anomaly tracing algorithm, which provides innovative ideas for the successive development of a general monitoring system integrated into Tianqing. The CIPAS 3.0 monitoring application enables realtime monitoring and alerts for data source decoding and storage, product generation, as well as basic resource functioning. Further features include data source error tracing, onekey operation of data sources and product algorithms, automatic alarm recovery, and more. It resolves longstanding issues for CIPAS, such as opaque downloading and transmission of foreign source data, inconvenient manual operation of data sources and product algorithm, notably reducing the workload of operation and maintenance personnel in identifying and resolving failures. Having passed expert review, the system was operational as of December 2021. To date, it has monitored 87 data sources and 125 products, guaranteeing the stable operation of CIPAS 3.0.