Solutions · Insurance

Insurance

Insurance online policy application, claims, and agent workbench involve lengthy, multi‑terminal, heterogeneous chains. Monitoring across systems is fragmented, forming data silos. Customer complaints about lag are difficult to trace, and regulators require full‑chain traceability. Bonree ONE provides an RUM+APM end‑to‑end full‑stack observability solution.

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Bonree RUM application details relationship screenshot

Customer Benefits

The Value of Unified Cloud & Business Monitoring

Faster Root-Cause Localization

Root‑cause localization reduced from 1.5 hours to 4 minutes – a 95% improvement.

Leaner, Higher-Signal Alerting

Repetitive alerts cut by 80%, O&M labor input reduced by 42%.

Proactive Anomaly Warning

Early warning for policy/claims anomalies 25 minutes in advance, reducing business interruption by 65%;

Full Omnichannel Coverage

Omnichannel UX coverage increased to 100%, complaints down 65%;

Simplified Compliance

Full operational trails meet CBIRC audit requirements, reducing compliance self‑inspection time by 58%;

Accurate Peak Capacity Planning

Accurate capacity forecasting for peak periods, reducing premium loss by 72%.

Solutions

Bonree ONE's Core Capabilities — Directly Solving Business Pain Points

Cloud-Native Observability + Topology Analysis

Automatically discovers and visualizes microservice call topology, supports container-level tracing and K8s metric correlation analysis. Expected outcomes: significant reduction in fault localization time, enhanced O&M control in cloud environments.

Bonree Kubernetes pods resource monitoring screenshot

Full-Dimension Monitoring + Intelligent Alert Convergence

Intelligent alerting based on dynamic baselines and business impact levels; automatically converges invalid alerts and correlates root causes. Expected outcomes: reduction in redundant and invalid alerts, partial early warning capabilities through巡检 (scheduled inspections), and reduced MTTR.

RUM (Real User Monitoring) + APM

Unified collection of real user performance data across multiple channels, combined with backend application performance metrics for correlation analysis to quickly pinpoint root causes (frontend vs. backend). Expected outcomes: shift from reactive O&M to proactive detection of anomalies across multiple channels.

Bonree RUM application details relationship dark theme screenshot