Horus Call Center Monitoring System: Architecture, Features, and Automated Alert Solutions

Horus is a monitoring platform developed by the Communication Technology Center to address the operational challenges of Ctrip's call center, which handles millions of daily voice interactions across over 10,000 voice and SIP lines.

Existing monitoring tools suffered from coarse granularity, delayed alerts, and high false‑positive rates, prompting the design of Horus with fine‑grained, automated, and user‑friendly operations.

The system consists of eight core modules: data collection (via Hermes), storage (Hickwall and MySQL), fault detection, data analysis, alert aggregation, alert notification, automatic testing, and monitoring UI/configuration.

Horus implements three automatic detection strategies: threshold analysis based on normal distribution and time‑of‑day segmentation, rate‑of‑change analysis using differencing statistics, and drop‑to‑zero detection that considers lost call volume.

Alert logic first checks for drop‑to‑zero conditions; if none are met, it applies threshold and rate analyses, optionally considering cumulative impact and holiday schedules before issuing an alarm.

Typical business scenarios covered include call‑volume monitoring, success‑rate monitoring, periodic feature extraction, handling of sparse low‑volume data through aggregation, correlated alerts across related metrics, and detection of long‑term gradual declines.

To reduce alert storms, Horus aggregates duplicate or similar alerts within configurable time windows (e.g., 1 minute for the same notification group, 30 minutes for the same metric) and presents a compressed view to operators.

Additional features include easy integration via APIs, DB plugins, a visual editor for chart configuration, an operations dashboard, and automated voice notifications that leverage a voice‑bot for escalation and false‑alarm suppression.

Future plans involve expanding the system with big‑data analytics and AI techniques to further automate monitoring and provide richer, personalized UI experiences.