New China Life Insurance’s Exploration and Practice in Building a Digital Ecosystem
Bonree deployed over 1,700 probes and more than 300 private monitoring points across multiple application systems at New China LifeInsurance, addressing data blind spots in system topology transparency, infrastructure data correlation analysis, code‑level issue localization, and pre‑ and post‑launch quality control. With Bonree’s support, New China Life Insurance can detect and resolve problems before users do, ensuring the stability of its online business and achieving cost reduction and efficiency gains.
Urgent Need to Build a Code Quality Assessment Platform
To ensure stable online operations and high-quality, efficient production workflows, New China Life Insurance must establish a code assessment platform to standardize the release process and reduce incidents.
Gap in Business Quality Assessment Methods
As insurance services increasingly appeal to younger generations—who demand faster responsiveness—existing business systems still lack reliable pre‑launch quality assessment mechanisms.
Reactive Operations Work
With numerous application performance issues, relying on traditional operations experience for troubleshooting often lags behind user and business‐unit feedback.
Building a Database Assessment Framework to Aid Code Quality Evaluation
Using the code‑quality assessment framework built on Bonree ONE, slow SQL queries with high error rates can be quickly identified and fault domains located. This helps project teams quantify code quality and improve code performance. After the framework went live, the proportion of slow‑SQL errors in the database dropped from 15% to 7%.
Building an Application Performance Scoring System for Objective Ratings
After the performance scoring system went live, application scores became clear at a glance. By using Bonree ONE probes to detect and address faults and anomalies, the scores of low-rated applications increased from 66 to 99. Simultaneously, a visual business monitoring tool—correlating infrastructure metrics with business data—helped New China Life Insurance resolve 10 historical legacy issues and reduced operations team investment by 30%.
Establishing a Troubleshooting Path Mechanism to Simplify Complex Processes
Bonree implemented a structured troubleshooting path for New China Life Insurance: identify slow nodes via topology analysis; pinpoint sluggish endpoints through interface performance metrics; detect performance or error issues via interface topology; and finally trace the root cause down to the method/class level—all within a 10‑minute end‑to‑end localization process.
From Reactive Complaint Handling to Proactive Issue Resolution, Boosting Operations Efficiency
By leveraging Bonree ONE’s proactive fault‑detection and root‑cause localization capabilities, New China Life Insurance transforms a reactive model into a proactive one, quickly identifying the department responsible for any failure. This optimizes business‑issue resolution from hours to just five minutes, increasing operations efficiency by 12 times.
From Passive Cost Increases to Proactive Business Optimization, Realizing Cost Reduction and Efficiency Gains
Bonree ONE empowers New China Life Insurance to proactively identify the root causes impacting their operations, cutting the business interface error rate from 0.37% to 0.21%—a 43% improvement. At the same time, by optimizing 22 core business processes, it freed resources equivalent to 20 servers, truly delivering both cost savings and efficiency gains.
Pioneers in the APM Field:
The only APM–focused company listed on China’s A‑share market and ranked No. 1 in China’s APM market share.
Initiators of the Data‑Intelligence Integration 3.0 Era:
Dedicated to technological innovation, and the first—and only—vendor to earn an “Excellent” rating in the China Academy of Information and Communications Technology’s root‑cause analysis capability assessment.
Achieved 0→1 Transformation in Code Standardization:
Reduced the share of slow‑SQL errors in the database from 15% to 7%.
Resolved 10 Legacy Issues:
Saving 30% of the operations team’s effort
Optimized Online Business Scoring:
Online service rating improved from 95/97 to 99
Dramatically Boosted Operational Efficiency:
Core business issue handling time shortened from hours to 5 minutes—a 12× improvement
Effectively Reduced Business Error Rate:
From 0.37% down to 0.21% (a 43% reduction)
Optimized Resource Utilization and Cut Costs:
Condensed 27 test cases into just 3 scripts
