How China Mobile’s Disk‑Health AI System Earned Top Marks in AIOps Evaluation

What is AIOps? AIOps (Intelligent Operations) applies artificial‑intelligence techniques such as machine learning and data science to IT operations, enhancing and partially replacing traditional IT‑ops functions. Gartner describes AIOps as a loosely coupled, scalable approach that extracts and analyzes ever‑growing volumes, varieties, and velocities of IT data to support operations management products. With emerging technologies, AIOps is becoming the future trend and a high‑level implementation of enterprise‑grade DevOps on the operations side.

Latest Evaluation Results On 26 December 2022, the China Academy of Information and Communications (CAICT) announced the newest batch of AIOps standard assessment outcomes.

Project Highlight China Mobile Information Technology Co., Ltd. entered the assessment with its Disk Health Intelligent Detection System . The system passed the CAICT’s Cloud Computing Intelligent Operations (AIOps) Capability Maturity Model – Part 2: System and Tool Technical Requirements evaluation, and its Fault Prediction module achieved the Excellent level, indicating a domestically leading capability.

Interview with Cheng Yu, IT Cloud Architect

Q: Please introduce yourself, your company, and the evaluated project. Cheng Yu explained that China Mobile Information Technology is responsible for centralized IT systems within China Mobile Group, focusing on unified planning, enterprise‑level big‑data platforms, and system integration, while also offering IT solutions to other enterprises and overseas telecom operators.

Q: How did you feel after passing the AIOps standard assessment? He noted that the CAICT standards provided valuable guidance; the Disk Health system was designed from real‑world needs, with attention to algorithm upgrade paths and usability. The assessment revealed many opportunities for further capability expansion.

Q: What were your organization’s considerations for participating? The goal was to benchmark against industry AIOps capabilities, refine development roadmaps, and leverage CAICT experts to identify gaps and systematically improve the system.

Q: What changes has the assessment brought to your team? Continuous absorption of advanced industry ideas and internal R&D efforts aim to make the Disk Health system a leading benchmark and flagship product.

Q: What are the next steps for AIOps work? The team plans to support more disk models, improve fault‑prediction accuracy, and enhance algorithm generality.

Q: Your view on the future of AIOps? Cheng predicts deeper integration of AI with emerging technologies such as the metaverse, stronger compute‑network capabilities, and the emergence of high‑performance AIOps scenarios.

AIOps Capability Maturity Model Overview The model series, led by CAICT together with the Cloud Computing Open Source Industry Alliance, Efficient Operations Community, dbaplus, BATJ, and major telecom and financial enterprises, is the first domestic and international standard for intelligent operations. It has been approved by ITU‑T SG13. The second part of the model opens eight modules: anomaly detection, fault prediction, alarm convergence, root‑cause analysis, self‑healing, fault prevention, capacity prediction, and knowledge‑base construction.