How China Mobile’s AIOps Platform Achieved Top‑Tier Evaluation and What It Means for Intelligent Operations
This article explains the concept of AIOps, details China Mobile Information Technology's successful comprehensive‑level assessment of its centralized operations management platform's fault‑self‑healing module, shares insights from an interview with the project director, and introduces the national AIOps capability maturity model.
Intelligent Operations (AIOps) applies artificial‑intelligence technologies such as machine learning to IT‑operations problems, enhancing and partially replacing core operational functions. Gartner describes AIOps as extracting and analyzing ever‑growing IT data in a loosely coupled, scalable manner, thereby supporting IT‑operations management products.
On December 26, 2022, the China Academy of Information and Communications Technology (CAICT) announced the latest batch of AIOps standards assessment results. China Mobile Information Technology Co., Ltd. participated with its Billing Settlement Center Centralized Operations Management Platform, which passed the “Cloud Computing Intelligent Operations (AIOps) Capability Maturity Model – Part 2: System and Tool Technical Requirements” assessment, achieving a comprehensive‑level rating for the fault‑self‑healing module.
In an interview, Liu Yifeng, project director of the platform, explained the company’s strategic vision of becoming a digital‑intelligence engine, the fault‑self‑healing module’s capabilities (automatic alarm convergence, AI‑driven root‑cause analysis, one‑click stop‑loss and recovery, graphical scenario orchestration, extensible solution library), and the benefits observed after the assessment, such as zero‑human‑intervention fault handling and improved alert‑processing efficiency.
Liu also discussed why China Mobile pursued the AIOps assessment: to benchmark against industry standards, identify gaps, learn from leading enterprises, and advance their AIOps construction. Future plans include expanding self‑healing functions, adding third‑party repair‑recommendation features, and building an enterprise‑grade AIOps solution for broader industry use.
AIOps Capability Maturity Model Introduction
The “Intelligent Operations AIOps Capability Maturity Model” series, led by CAICT together with the Cloud Computing Open Source Industry Alliance, Efficient Operations Community, dbaplus, BATJ and other top internet, finance and telecom companies, is the first domestic and international standard for intelligent operations, approved by ITU‑T SG13.
Version 2 of the model defines eight assessment modules: anomaly detection, fault prediction, alarm convergence, root‑cause analysis, fault self‑healing, fault prevention, capacity prediction, and knowledge‑base construction.
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