Automated Data Center Management System: Architecture, Implementation Steps, and Operational Benefits

Project Background and Issues

Rapid information‑system deployment has made data‑center management increasingly complex, with growing demands for security, availability, and operational efficiency across multiple, geographically distributed sites. Traditional Excel‑based tracking and manual tools can no longer handle the scale, leading to problems such as fragmented rooms, high inspection overhead, insufficient environmental monitoring, lack of standardized asset tools, and slow, error‑prone manual processes.

Solution and Implementation Steps

The foundation of automation is standardization, process‑driven workflows, and a unified platform. Hardware standardization includes SKU‑based configuration of servers, network, and storage, with clear labeling of rack positions and connections. Data standardization relies on a complete CMDB that defines fields, collection standards, and usage conventions, followed by comprehensive data cleansing.

Process standardization ensures data integrity, while platform unification consolidates all operational tools into a single entry point, improving efficiency. The solution comprises four core modules: CMDB database, a unified work‑order system, a data‑center management portal, and an operations platform.

Project Realization and Deployment

The "Star‑System" is built on the PHP‑YII framework with Redis for cross‑node synchronization and fine‑grained permission control. MQ technology decouples tasks across multiple data‑centers, enabling asynchronous collection of device health and logs. Job agents bridge business and management networks.

Key functional areas include:

Procurement control: integrates demand, asset, and procurement systems, tracks eight milestones from request to delivery, and links serial numbers to CMDB entries.

Visualized data‑center layout: automatically generates floor plans and rack views from CMDB data, highlighting usage, availability, and fault status.

Device monitoring: integrates Zabbix for real‑time metrics, Redfish for hardware health, and auto‑generates fault tickets with history tracking.

Fine‑grained component management: assigns internal serial numbers to parts, tracks inventory across multiple warehouses, and links components to devices via work orders.

Work‑order automation drives rack placement, U‑position assignment, and batch operations, while visual dashboards provide instant status of firmware versions, SSD health, and other metrics.

Summary

Automation and strong workflow enforcement ensure data accuracy, boost operational efficiency, and improve delivery quality, while visual management gives operators a clear, real‑time view of the entire data‑center. Future work includes predictive disk‑failure analytics, deeper health profiling, and broader hardware vendor integration.