How China Post’s Next‑Gen IT Monitoring Platform Drives Smart Operations

On September 5, 2023, the Ministry of Industry and Information Technology and the Beijing Communications Administration co‑hosted the 2023 China International Service Trade Fair “Enterprise Digital Transformation Forum” in Beijing, focusing on “Digital Leadership, High‑Quality Development.”

The forum announced the results of the 2023 “Digital Transformation Influence” case collection, selecting 10 leading enterprises, 5 leading individuals, 5 outstanding experts, and 58 innovative cases, reflecting the latest trends in China’s enterprise digital transformation.

Among the winners, China Post’s “Next‑Generation IT Infrastructure Intelligent Operation Monitoring Platform” was highlighted as an innovative case.

China Post Group handles letters, parcels, periodicals, books, stamps, and remittance services, and aims to become a world‑class postal enterprise with strong governance, high service quality, efficient operations, and sustainable competitiveness. To achieve this, it launched four transformation actions—“Strengthen Core,” “Build Foundation,” “Open Sources,” and “Activate”—to build a clear organizational structure, defined responsibilities, strong technological support, efficient mechanisms, and innovative vitality.

The next‑generation platform integrates cloud, on‑premise, and domestic‑innovation environments, consolidating diverse operational data through big‑data, intelligent algorithms, and automation. It shifts monitoring from passive to proactive, automates fault handling, improves IT operation efficiency, extracts data value, and supports decision‑making, thereby accelerating digital transformation.

Platform construction follows a layered approach: data collection, data support, data processing, application scenarios, and an operational display layer.

(1) Project implementation based on multiple industry standards

The platform follows standards such as the IT Operations Maturity Model, AIOps Capability Maturity, and Data Governance Maturity, establishing organizational relationships, processes, data standards, system architecture, and functions from the outset.

(2) Rich data collection capabilities

It ingests alarm data, business data, infrastructure performance data, operation logs, configuration data, and workflow data from IaaS, PaaS, SaaS sources, handling structured, semi‑structured, and unstructured formats, achieving unified data definition and collection across cloud and on‑premise environments.

(3) High‑concurrency, low‑latency stream‑batch data processing

The data processing layer provides big‑data processing, machine learning, and stream processing. A drag‑and‑drop big‑data module parses, standardizes, and computes data with second‑level latency, supporting downstream services and upstream application scenarios.

(4) Intelligent algorithms enhance operation efficiency

Given the massive, diverse, and complex operation data of the postal group, traditional tools are insufficient. The platform employs time‑series anomaly detection and pattern‑learning algorithms to predict trends, detect anomalies, and provide pre‑emptive, real‑time, and post‑analysis support.

(5) Comprehensive operation portal for a one‑stop experience

The portal integrates a workbench, knowledge base, intelligent reports, and automation, built on an OLAP analytics architecture for real‑time data analysis, supporting data queries, analysis, and knowledge retrieval.

Automation closes the loop from data collection, intelligent judgment, to automated alarm handling, enabling automatic recovery for disk cleanup, application restarts, log cleaning, database backup, and other routine tasks, dramatically reducing manual intervention.

Summary: The next‑generation IT infrastructure intelligent operation monitoring platform combines stream‑batch architecture, machine‑learning‑driven analysis, adherence to multiple operation standards, and closed‑loop automation to deliver a one‑stop, intelligent operation experience, exemplifying advanced digital transformation.