How Mobile Cloud Achieved Top‑Tier AIOps Maturity: Insights from the CAICT Evaluation

Intelligent Operations (AIOps) applies AI technologies such as machine learning to IT operations, enhancing and partially automating core functions.

On December 15, 2023, the GOLF+ IT New Governance Leadership Forum in Beijing announced that China Information and Communication Research Institute (CAICT) released the latest evaluation results for DevOps and AIOps standards.

China Mobile Suzhou Software Technology Co., Ltd. (Mobile Cloud) submitted its “Mobile Cloud Intelligent Operations Platform (CC‑OPS)” project, which successfully passed the CAICT “Cloud Computing Intelligent Operations (AIOps) Capability Maturity Model – Part 1: General Capability Requirements” Level‑3 assessment for anomaly detection and alarm convergence, demonstrating leading domestic capability.

Mobile Cloud has so far passed two CAICT AIOps standard assessments: one for general capability requirements and one for system and tool technical requirements.

Q: Please introduce your company and the project you evaluated.

A: China Mobile Cloud Capability Center, a wholly‑owned subsidiary of China Mobile, employs over 4,000 staff and provides integrated R&D, operation, and support for mobile cloud services, building a nationwide “4+N+31+X” computing network.

The evaluated project focuses on anomaly detection and alarm convergence within the AIOps maturity model, leveraging operational data and AI algorithms to digitize and improve operational efficiency.

Q: How do you feel after passing the CAICT AIOps assessment?

A: AIOps is the future of operations; the maturity standard offers a clear implementation path, accelerates digital transformation, and validates our intelligent operations system, making us the first cloud provider to achieve this rating.

Q: What considerations guided your participation in the assessment?

A: We aimed to verify the outcomes of our AIOps construction, promote continuous improvement, and exchange expertise with industry peers, especially exploring large‑model applications for cost reduction and efficiency gains.

Q: What changes has the assessment brought to your team?

A: The successful evaluation confirmed our AIOps approach aligns with industry trends, provided practical experience for future platform evolution, and enhanced team skills and confidence in intelligent operations.

Q: What are the key features and design of the evaluated IT system?

A: The Intelligent Operations Platform adopts a three‑layer architecture—data acquisition/control, platform services, and scenario applications—supporting large‑scale resource management, high‑concurrency interfaces, and AIOps scenarios such as single/multi‑metric anomaly detection, text and topology‑based alarm convergence, log anomaly detection, and dynamic baselines.

Q: Was the assessment process smooth? What challenges did you face?

A: The on‑site assessment proceeded smoothly thanks to early planning and cross‑department support; the main challenge was implementing multi‑scenario alarm convergence, which was resolved through close collaboration among product, development, and algorithm teams.

Q: What are your next steps for AIOps?

A: We will expand intelligent capabilities in cost, efficiency, and security scenarios and actively explore large‑model applications to deliver high‑quality, high‑efficiency operational support.

Q: How do you see the future of AIOps?

A: The future hinges on integrating operational large models with knowledge graphs to improve alarm aggregation, root‑cause recommendation, log analysis, and ChatOps, ultimately achieving advanced intelligent operation driving.

AIOps General Capability Assessment Details

Statistics up to December 15, 2023 show participation from banking, securities, and communications enterprises, with four companies passing seven general capability assessments and nineteen companies passing thirty‑eight system and tool assessments.

The “Intelligent Operations AIOps Capability Maturity Model” series, led by CAICT and co‑created with major internet and industry players, has become the first international standard for intelligent operations, recognized by ITU‑T SG13.

The model’s Part 1 requires evaluation of intelligent computing engine, data management, and configuration management; Part 2 opens twelve modules including anomaly detection, fault prediction, alarm convergence, root‑cause analysis, and intelligent Q&A.