(Some of the content of this article comes from the "China AIOps Status Survey Report (2023)", Xiaobian deducts 1 to get the full version of the report )
On July 18, 2023, the Xops Industry Innovation and Development Forum of the Academy of Information and Communication Technology was successfully held in Beijing. The conference aims to improve the level of enterprise R&D and operation, strengthen the experience sharing of XOps system construction, and is composed of three sub-forums with different themes. promote.
The "China AIOps Status Survey Report (2023)" was released at the meeting, and "Dynamic Detection and Value Application Practice Cases of Qingchuang Key Performance Indicators" was selected as a service provider article. This part is only composed of three excellent cases. This is Qingchuang Technology Another brilliance recognized by industry experts as an excellent provider in the field of intelligent operation and maintenance.
At the same time, the Academy of Information and Communications Technology officially launched the Digital Governance Array (DGA). Zhang Jian, VP of customer experience at Qingchuang Technology, was hired to join the expert think tank members in the field of R&D and operation transformation. He will participate in various tasks of the Array as a key member and provide Sufficient industry understanding, construction methods, practical experience, etc., will make precise efforts to promote the development process of my country's digital transformation.
1. Brief reading report
The report surveyed 2,320 samples, combined with the in-depth insights and discussions of industry experts, and strived to reflect the needs of enterprises for AIOps implementation in a detailed and objective manner, and provide true and credible data support.
"Notice of the State Council on Printing and Distributing the Outline of the 14th Five-Year Plan", which clearly proposes to strengthen the development of smart manufacturing and smart services, including smart operation and maintenance. With the emergence of new ecology, new technologies, and new services, AIOps intelligent operation and maintenance is becoming an essential means for enterprises to manage and control physical equipment, realize rapid demand iteration, and ensure business continuity. , transportation, manufacturing and other fields quickly took root and sprouted. Although the market economy is still in a state of decline after opening up due to the impact of the epidemic, following the traction of policies, the pace of enterprise development has not slowed down.
1. Increased investment in intelligent operation and maintenance
According to the report, in 2023, more than half of enterprises will increase their investment in intelligent operation and maintenance construction, and they will focus on business observability and SRE reliability practice as the construction direction. At the same time, many companies have gradually awakened to data awareness. More than half of the companies are comprehensively carrying out the construction of operation and maintenance data governance, but most companies are still in the stage of planning or exploring construction.
2. The value demand of enterprises for intelligent operation and maintenance has changed
With the diversification and complexity of the application scenarios of intelligent operation and maintenance, it is necessary to design and build intelligent operation and maintenance systems according to different business scenarios and application requirements. The focus of enterprises is shifting from how to achieve to the effect and value, and the requirements for intelligent operation and maintenance technology and tool platforms are also changing from "available and useful" to "easy to use and easy to use".
3. Intelligent operation and maintenance scenarios still face challenges
The report shows that the current intelligent operation and maintenance construction is still facing many challenges. From the level of attention, it is divided into: "difficult to measure the effect and value of intelligent operation and maintenance" (58.06%), "difficult to form data sharing and knowledge transfer" (53.36%), "The quality of data is not high, affecting the accuracy and reliability of machine learning models" (46.34%), "Lack of unified standards to support the access of different types of data sources" (31.47%), "It is difficult to develop and manage intelligent operation and maintenance systems" (25.56%).
2. How to plan and build intelligent operation and maintenance
Facing the above-mentioned challenges and current situation, Qingchuang Technology, as a leading solution provider in the field of intelligent operation and maintenance, summed up the practical experience accumulated over the years in leading enterprises in various industries, and believes that the construction of intelligent operation and maintenance may be as follows planning:
1. Alignment with core business planning
First of all, with the rapid iteration of new information technology, the core business system of the enterprise is also being updated rapidly. As a main front of the core business system, intelligent operation and maintenance should be shifted to the left when planning the core business system. Under the framework of large-scale planning, to ensure the smooth progress of future delivery and maintenance work.
2. Unified data standards
Second, start from the operation and maintenance itself. We have always been convinced that "no data, no intelligence". The quality of the data and whether the standards are unified determine the output of the upper-level consumption scenarios, which will have a direct impact on the business. Qingchuang Technology believes that the primary task of building intelligent operation and maintenance is to do a good job in data governance and strengthen the data base. According to the industry standards and the business needs of the enterprise itself, the unified management, arrangement and storage of data in each dimension are carried out, and the log, indicator, alarm, event, call chain and other data are associated and modeled, so that the fault can be quickly located, processed, and Able to carry out effective review and experience accumulation on accidents after the event.
3. Promote the construction of intelligent operation and maintenance step by step
Finally, on the basis of business needs, after the optimization and adjustment of the organizational structure, various operation and maintenance consumption scenarios are built step by step according to local conditions, so as to realize the closed-loop operation and maintenance work of pre-event risk prediction, quick positioning during the event, and post-event summary review. Ensure smooth and efficient business operation, and provide highly valuable data results for business decision-making.
In terms of data governance, Qingchuang Technology is working with Zhongzhi Research Institute to implement the evaluation process of financial data governance standards and has already begun. It may officially launch related evaluation services in the near future. Interested companies are welcome to consult.
3. About the application of AIGC in the field of operation and maintenance
The current practice of generative AI technology in the field of operation and maintenance is still in the exploratory stage. This new technology will further enhance the ability of existing intelligent operation and maintenance, and the combination with the field of operation and maintenance in the future is attracting attention. It will be a future development trend for enterprises to explore business application scenarios, build observability capabilities, and further improve operation and maintenance efficiency by combining new technologies such as generative AI.
All in all, for AIOps itself, it needs to be further developed in the future, and it may be possible to borrow AIGC's large model capabilities - through training and understanding of data, coupled with manual adjustments by experts (such as language annotation), to achieve automatic learning and calibration models, which can actively Automatically complete the operation and maintenance work to achieve real intelligence.
The arrival of this day, many people believe that it is not far away.
Qingchuang Technology, a benchmark supplier in the AIOps field continuously recommended by Gartner. The company focuses on reducing the cost and increasing efficiency of operation and maintenance by improving enterprise customers' insight into operation and maintenance data, fully reflecting the influence of technology operation and maintenance on business operations.
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