How Guangdong Mobile’s AIOps Platform Passed the First‑Stage Maturity Assessment – Insights and Future Plans

Intelligent Operations (AIOps) applies artificial‑intelligence techniques such as machine learning and data science to IT operations problems, enhancing or partially replacing core IT operational 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 new technologies driving its adoption, AIOps is becoming a future trend for operations and a high‑level implementation of enterprise DevOps on the operational side.

At the DevOps International Summit (DOIS) held in Beijing on 22 October 2021, the China Academy of Information and Communications Technology (CAICT) announced the first batch of evaluation results for the AIOps system and tool technology.

Guangdong Mobile’s “AI + Knowledge Experience” dual‑mode intelligent fault‑diagnosis platform (V2.0.0) successfully passed the CAICT’s Cloud Computing Intelligent Operations (AIOps) Capability Maturity Model – Part 2: System and Tool Technical Requirements assessment, with the root‑cause analysis module achieving a comprehensive‑level rating, indicating that Guangdong Mobile’s AIOps system and tools have reached an advanced domestic level.

Interview – Q&A

Q: Congratulations on passing the first‑stage assessment. How does it feel? Chen Hui (Deputy General Manager, Information Systems Department, Guangdong Mobile): We are delighted to receive expert recognition and thank the evaluators and our colleagues for their guidance and hard work.

Q: What considerations led your company to participate in this assessment? Chen Hui: Since 2019 we have explored AIOps, and in 2020 and this year we built a comprehensive AIOps architecture covering root‑cause analysis, anomaly detection, alarm convergence, fault prediction, operation robots, and intelligent database scanning, serving over 100 business systems, 560 000 resources, and 400 000 monitoring objects. The maturity assessment provides an objective benchmark for our progress.

Guangdong Mobile also contributed to the drafting of the AIOps maturity standards in early 2021, aiming to learn from industry leaders and share its own experience.

Q: Please introduce the evaluated project. Guo Zheng (Deputy Manager, Application Maintenance Office): The “AI + Knowledge Experience” dual‑mode intelligent fault‑diagnosis platform integrates metrics, alarms, logs, and network topology data for multi‑dimensional fault diagnosis. It is architecture‑agnostic, supporting both traditional and cloud‑native environments.

Q: What changes has the assessment brought to your team? Guo Zheng: The assessment highlighted our platform’s broad functional coverage and strong core models, while revealing gaps in model optimization, fault‑propagation analysis, and automatic scenario recognition—areas we will focus on next. The process also clarified our development direction through extensive expert discussions.

Q: What are the next steps for AIOps work? Guo Zheng: Following the first‑phase white paper, a second‑phase white paper is being prepared. The upcoming IT “Intelligent Operations” specification will make AIOps a core component. Guangdong Mobile will promote AIOps concepts, expand scenarios such as anomaly detection, fault diagnosis, operation robots, and intelligent scanning, and continue to enrich knowledge graphs and innovative AIOps functions.

Q: What is your view on the future of AIOps? Guo Zheng: Human‑machine collaboration, continuous iteration, and operational knowledge will be key. As cloud, micro‑service, and container architectures evolve rapidly, AIOps must support fast updates. Since labeling operational data relies heavily on expert knowledge, technologies that reduce dependence on extensive human labeling will have higher adoption priority.

The AIOps Capability Maturity Model, led by CAICT and co‑created with the Cloud Computing Open Industry Alliance, major internet companies, and enterprises in finance and communications, is the first international standard for intelligent operations and has been accepted by ITU‑T SG13.

Currently, the first batch of assessments opens four modules—anomaly detection, fault prediction, alarm convergence, and root‑cause analysis—allowing enterprises to select one or more for evaluation.