How SOMM Is Revolutionizing Intelligent Ops with AIOps, SRE & FinOps
The China Academy of Information and Communications Technology introduced the SOMM (System Operation Maturity Model) framework, emphasizing tool intelligence, refined management, and robust operation, and detailed its AIOps, SRE, and FinOps assessment modules, evaluation criteria, maturity levels, and showcase of leading enterprises that have achieved top‑tier certifications.
SOMM – Intelligent Operations AIOps
To help enterprises comprehensively improve operational capabilities, the China Academy of Information and Communications Technology launched the SOMM (System Operation Maturity Model) assessment framework. Its core concepts are tool intelligence, refined management, and robust operation. The framework includes assessment modules for AIOps intelligent operations, SRE system reliability, and FinOps refined operations.
AIOps General Capability (Assessable)
The “Intelligent Operations AIOps Capability Maturity Model” standards were jointly developed by the Academy, the Cloud Computing Open Source Industry Alliance, the Efficient Operations Community, major internet companies (BATJ), and leading financial and telecom enterprises. The international AIOps standard was approved by ITU‑TSG13.
Assessable items include mandatory layers such as intelligent computing, data, and configuration management, with optional scenario‑specific items. By mid‑2025, banks and telecom operators such as ICBC, Mobile Cloud, and China Unicom Innovation Center have passed the evaluation.
Observability Capability (Assessable)
The observability capability requires collecting operational data from diverse systems, applying data analysis and machine learning to enhance both intelligent and traditional operation scenarios, covering data collection, transmission, storage, processing, management, and observation.
The standard defines five maturity levels: Initial, Advanced, Comprehensive, Leading, and Excellent. Numerous banks and securities firms have contributed to the standard, and Migu Interactive has achieved the observability assessment.
AIOps System and Tools (Assessable)
Eight modules are open for assessment: anomaly detection, fault prediction, alarm convergence, root‑cause analysis, self‑healing, fault prevention, capacity forecasting, and knowledge‑base construction. By December 2024, 25 enterprises with 47 projects had passed the assessment.
Selected Enterprise Cases
Guotai Junan’s “Intelligent Operations Service Platform” received an Excellent rating for AIOps system and tools, achieving over 80% accuracy in anomaly detection and establishing a closed‑loop development‑evaluation‑optimization process.
Migu Interactive’s “Migu Fast Game Intelligent Operations Observability Project” attained Level 3 in observability, excelling in user‑experience, data observation, and reducing response times through improved tracing and monitoring.
China Agricultural Bank’s “Integrated Production Operations Platform – Data Analysis Platform (Kongming)” earned an Excellent rating, integrating tools, processes, and standards across cloud and on‑premise environments to enable reliable, repeatable delivery.
Mobile Cloud’s “Mobile Cloud Smart Operations Platform (CC‑OPS)” achieved Level 3 in AIOps general capability, validating its architecture and enhancing team expertise.
Assessment Process
For business assessment registration and inquiries, contact Yang (phone 13311272424, email [email protected]) or Wei Huanxin (phone 18500255645, email [email protected]).
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