Inside China’s AIOps Standard: Key Insights from the 4th Draft Meeting
The article reports on the fourth draft discussion of China’s Cloud Computing Intelligent Operations (AIOps) Capability Maturity Model – Part 2, detailing the meeting’s participants, the finalized system and tool technical requirements, and the progress toward a comprehensive AIOps standard that addresses quality, cost, efficiency, and security across multiple functional modules.
Background of the Standard
As system numbers grow and complexity rises, traditional manual operations become unsustainable. Driven by big data, cloud computing and AI, AIOps is emerging as the next‑generation approach to DevOps on the operations side.
Purpose of the Meeting
On 17 March 2022, the China Academy of Information and Communications Technology (CAICT) hosted the fourth draft discussion of the “Cloud Computing Intelligent Operations (AIOps) Capability Maturity Model – Part 2: System and Tool Technical Requirements”. The meeting was held both online and offline, with members of the TC608 committee and experts from numerous enterprises.
Key Discussions
Experts from companies such as Huawei, Tencent, Ant Group, Alibaba Cloud, IBM, JD.com and others reviewed and debated the draft, focusing on modules such as resource optimization, cost assessment and intelligent change. By the end of the session the content for these functional modules was finalized, bringing the overall standard close to completion.
Standard Scope
The standard defines intelligent operation systems and tools that apply AI techniques to traditional O&M scenarios. It covers data management, intelligent computing engines and application scenarios, addressing quality, cost, efficiency and security across nine capability domains and more than twenty functional modules (e.g., anomaly detection, root‑cause analysis, self‑healing, system assessment, threat perception).
Progress
To date the drafting group has held over 40 workshops, accumulating more than 180 hours of discussion. Continuous refinement aims to embed advanced AIOps use cases into the standard so enterprises can adopt compliant tools quickly and cost‑effectively.
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