Comprehensive IT System Monitoring Coverage, Bonree Fully Ensures Business Stability for Fubon Bank (China) Bonree assists Fubon Bank in building a business-centric IT operations and maintenance framework, as well as a comprehensive IT architecture platform. It provides the bank’s application operations and infrastructure operations with multiple management scenarios, structured around process management, configuration management, monitoring management, fault-resource management, log retrieval, and automation capabilities. At the same time, it takes into account future scalability for DevOps, big data, and intelligent operations and maintenance. 1. Rapid Growth of Bank Resources Makes Comprehensive Monitoring Coverage Difficult As IT operations continue to expand, the scale of Fubon Bank’s application resources has grown explosively. This rapid increase means that traditional resource-focused management models can only address isolated issues and cannot provide end-to-end visibility across business processes. As a result, monitoring gaps emerge, making it impossible to achieve full coverage based on the existing IT operations. 2. Diverse Banking Business Scenarios Pose Challenges to Operations and Maintenance The objects of operations and maintenance are various business systems. As the complexity of Fubon Bank’s business scenarios increases, challenges to operations also rise. For example, interdependencies among business systems, the status of individual modules within those systems, and their relationships can all complicate fault detection, troubleshooting, and the timeliness of maintenance. 3.Growth in Operational Metrics Data Makes It Hard to Ensure Business Stability With increases in transaction volume, as well as the types and number of software and hardware in use at Fubon Bank, the volume of data has also grown—ranging from different monitoring data types to operational metric volumes and business data. This presents difficulties in integrating and correlating data, making calculation and analysis challenging, and preventing a clear, data-driven view of business health. 3.Large Volume of Fault Alarms Leads to Long Diagnosis Cycles Faced with a flood of alarm data, Fubon Bank’s systems struggle to perform effective alarm aggregation, correlation analysis, root-cause analysis, and fault diagnosis. 1. Deployment and Data Initialization Deploy Bonree ONE to retrieve CMDB data. Initialize data according to the integration plan defined by the CMDB host-to-system relationships. 2. Data Updates Any changes to host information or host–system associations are made in the CMDB. Bonree ONE periodically pulls data from the CMDB API and updates its records accordingly. 3. Code-Level Call Tracing for Full Business–Chain Observability Bonree ONE employs code-level call tracing to automatically track interdependencies between business systems, as well as the status and relationships of modules within those systems. This enables rapid fault localization, shortens troubleshooting cycles, and significantly improves operations efficiency. 4. Real-Time Monitoring of Operational Health to Ensure Business Stability Using Bonree ONE, data from Fubon Bank is consolidated and correlated. A new problem-analysis model—built around the bank’s internal business structure—provides a clear, data-driven view of application health, ensuring business continuity. 1. Industry-Leading Company Strength As the first publicly listed company in China’s APM sector, we possess robust capabilities 2. Top-Tier Product Functionality Bonree ONE delivers true code-level call tracing, making it easy to pinpoint business issues at a glance. 1. Resolve the issue of being unable to fully understand all monitoring metrics of business systems due to business growth By importing business system data from the CMDB and leveraging APM’s monitoring capabilities, we achieve 100% coverage of all business systems. This approach also visualizes the interrelationships between different business functions. 2. Clarifying Call Relationships between Systems for Faster Issue Localization, Reducing MTTR by 60% Using full‐link topology, we display metrics across the entire stack—from application → request → interface → middleware → database—and enable detailed drill‐downs into code, logs, and stack traces. This granularity provides operations teams with precise data for analysis. 3. Visualizing Business System Health from a Business Perspective A centralized business‐health model manages health‐calculation rules and applies them to compute an overall health score. Health indicators and their weights are fully customizable. Key business systems’ health scores are displayed in real time with color codes (Healthy, Sub‐healthy, Critical), enabling direct identification of problematic code.
