Research on the Integrated Model Construction of Business Perspective and IT System Monitoring

This paper discusses "Research on the integrated model construction of business perspective and IT system monitoring", aiming to solve the problem of system monitoring from the marketing business perspective under the background of the surge in the number of core business applications. In the face of the real-time and stable requirements of business scenarios such as marketing industry expansion, customer service, measurement management, and expense management, this paper proposes an innovative method combining deep Q network integration and Dung Beetle optimization (DBO) algorithm to achieve the unity of perspectives of business personnel and technical personnel and ensure the close connection between business and IT system. Then the performance of the model is improved by hyperparameter optimization. Then, this paper deeply analyzes the panoramic monitoring technologies such as logging, performance monitoring and anomaly detection, and explores the way to quickly locate faults, with a special focus on the impact of microservices and cloud-native technologies on business stability in marketing 2.0 systems, as well as solutions to operational challenges. The simulation results show accurate data analysis, demonstrate the stability of the model under high loads and abnormal conditions, and effectively monitor a variety of objects including networks, physical machines, applications, and clients. This method can effectively deal with the operation and maintenance challenges under the complex cloud system architecture, and provide a comprehensive and efficient monitoring scheme for the marketing 2.0 system.