Sinolink Securities

“Using the Bonree ONE platform, Sinolink Securities has achieved unified intelligent observability across critical domains—including incident management, business monitoring, and emergency response—by building an end-to-end full-link monitoring system. The platform’s large-scale deployment comprises over 200 metrics, more than 1,500 probes, and monitoring across 462 hosts. Its practical applications span proactive scenario monitoring, fault localization and post-mortem analysis, service governance, and business enablement.” Jichun Wang | Manager, Platform Development Department, Sinolink Securities

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Introduction


   

Construction of Sinolink Securities’ Intelligent Observability Platform   

Sinolink Securities leverages Bonree's unified intelligent observability platform to gain a comprehensive view of their business systems—including business transactions, user sessions, call chains, metrics, and logs. The platform builds rich relationships among these elements, such as mapping business transactions to user-session conversions, correlating user experience with system capacity metrics, and tracing inter-system calls down to their impact on end users. This holistic insight empowers operations and development teams to understand both business performance and system health in real time.




Background Analysis


   

1. Rapid Business Growth Poses Monitoring Challenges for Cross-Platform Applications     

With widespread adoption of microservices, Sinolink Securities faces issues such as poor observability in production monitoring, difficult troubleshooting, and low problem-resolution efficiency. Its internal systems are built with multiple languages and frameworks, creating an urgent need for a unified, end-to-end monitoring platform. Existing application quality standards can’t keep pace with business growth, leading to inefficient health checks.

       

2. Scattered Monitoring Data Creates Operational Challenges        

Within Sinolink Securities, multiple independent monitoring systems store data in isolation, with no centralized management or reuse mechanism. Furthermore, data quality is uneven and lacks unified standards, leading to subpar monitoring effectiveness and making it difficult to support system operations and data processing effectively.

       

3. Building a Full-Link Intelligent Operations Monitoring System Is Imperative         

The current front-to-backend monitoring framework is incomplete, making proactive scenario monitoring difficult and hindering troubleshooting and root cause analysis. The lack of effective intelligent alerting results in the absence of reliable service quality metrics and evaluation standards, making service governance and optimization hard to implement.


   

Application Scenario


   

1. Comprehensive Monitoring and Risk Control

Sinolink Securities has leveraged Bonree’s integrated intelligent observability platform to achieve unified digital-intelligence management, building an end-to-end visual operations monitoring system. This system encompasses features such as system security, emergency command, monitoring dashboards, and disaster-recovery dashboards. By tracking key metrics in real time—security risks, system error rates, user response times, transaction-volume fluctuations, and resource utilization—the platform enables panoramic monitoring and risk detection, ensuring stable system operation and optimal resource allocation.


2.Precise Fault Localization and Issue Tracing

Using an integrated intelligent observability platform with precise fault-localization and post-mortem capabilities, customer complaints can be addressed swiftly by retrieving the user ID and tracing their interaction history to pinpoint the causes of page freezes or slow loading. In network-request monitoring, slow and error requests are thoroughly investigated, with segmentation and regional analysis enabling exact problem localization. The platform also captures full crash stack traces for root-cause analysis, reconstructing the crash scenario and the user’s actions leading up to it. Furthermore, it supports end-to-end replay of the user’s entire operation path, allowing rapid identification of the underlying issue and optimization of the user experience.


3. Breaking Internal Data Silos and Optimizing Service Governance

Bonree enables Sinolink Securities to overcome departmental data fragmentation and blame-shifting by establishing unified application-integration standards. When an incident occurs, the integrated observability platform surfaces all related business and system issues in one place, applies AI algorithms to pinpoint root causes, and delivers actionable insights—streamlining cross-departmental collaboration and driving improved service governance.


4. Achieve Correlated Issue Analysis for Rapid Fault Root Cause Identification

Bonree enables correlated issue analysis by examining infrastructure metrics (such as CPU, memory, and JVM) at the time of a fault. Through event, timestamp, and node-level correlation, it links APM data with infrastructure monitoring data. This synchronized analysis reveals how infrastructure metrics change during application performance issues, making it possible to quickly identify the root cause of faults.


5. From Code to Customer, Gaining True Insight into User Experience

Bonree has implemented Digital Experience Monitoring (DEM) for China Everbright Bank’s front-end applications—such as online and mobile banking. With its DEM solution, the bank can accurately capture users’ real-world performance experiences and issues, and build an end-to-end monitoring system that spans from the user interface down to the underlying code.


   

Why Bonree


   

1. Outstanding Product Capabilities        


Bonree’s unified intelligent observability platform integrates all metrics, call chains, logs, and sessions into a single, interrelated view—enabling holistic monitoring and risk investigation.         


       

2. Short Project Delivery Cycle

Ready to use out of the box, it drastically reduces delivery steps and timelines without compromising overall effectiveness.

       


   

Application Result


   

1. Correlation Analysis

Supports 2,000+ metrics and adjustable call-chain sampling from 0–100%, captures 100% of user sessions and 100% of log output and performs end-to-end correlation analysis across all data streams

       

2. Accurate Anomaly Detection

Uses automatic, threshold-based detection to achieve zero false alerts


3. Deep Root-Cause Analysis

Achieves a 90% fault-convergence rate and delivers 60–70% root-cause accuracy       



       


        

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