In the post-epidemic era, AIOps unleashes new vitality in enterprise operation and maintenance

[51CTO.com original article] 2020 is destined to be an extraordinary year. Under the impact of the COVID-19 pandemic, almost everyone's life has been changed to varying degrees, and enterprise operation and maintenance is no exception. When remote work becomes the norm, the actual attendance rate of enterprise operation and maintenance personnel is declining. Once a device fails, the diagnosis and repair time of the fault are greatly extended. Enterprises' demand for operation and maintenance such as remote management, automated operation and maintenance, and intelligent analysis has shown a sharp upward trend in 2020. In December, at the end of the year, 51CTO reporters interviewed Cao Ronghai, general manager of the Solution Center of the Network Technology Division of Donghua Software Co., Ltd., and asked him to share the new development trend of enterprise operation and maintenance in the post-epidemic era, and how AIOps can empower new enterprise operation and maintenance needs.

Enterprise O&M evolves towards "AI intelligent O&M", and AIOps becomes an enabling tool

Cao Ronghai told reporters that in 2020, stimulated by the epidemic, the scale of online applications of enterprises continued to expand, the technical complexity and application traffic continued to increase, and the risks became higher and higher as business changes became frequent. "Enterprises are transitioning from traditional 'steady-state operation and maintenance' to 'automated operation and maintenance', and the transition to ' AI intelligent operation and maintenance ' will become inevitable in the future."

He explained that traditional steady-state operation and maintenance usually focuses on stable and safe system operation, and the cost of operation and maintenance support must be reasonable. Today's "automated operation and maintenance" operation and maintenance mode focuses more on quickly locating fault points, can perform batch operations based on different scenarios, and has the ability to automatically restore business, thereby ensuring business continuity. The reason why Cao Ronghai clearly locked the future enterprise operation and maintenance in the direction of " AI intelligent operation and maintenance " is because he saw that in the era of big data, intelligent operation and maintenance can organically combine the three most important parts of operation and maintenance work, namely monitoring, management, and fault location, using machine learning algorithms to free operation and maintenance personnel from the complex and massive alarms, and set dynamic data baselines through machine self-learning, accurately locate the source of the fault, make operation and maintenance decisions, and plan various resource capacities in advance to truly ensure the rapid development of the business.

On the road of enterprise operation and maintenance evolving towards " AI intelligent operation and maintenance ", AIOps is a very important enabling tool. When the reporter asked Cao Ronghai why the concept of AIOps has been around for a long time, but has only gradually shown its "explosive" potential in 2020, Cao Ronghai said that today's system physical architecture and software architecture of enterprise data centers are both large and complex, and AI data algorithms play the role of the operation and maintenance brain, while big data processing platforms are the hands of operation and maintenance. "To achieve intelligent operation and maintenance, these two are indispensable. With the continuous maturity of big data technology and the promotion of AI data algorithms, AIOps has gradually become feasible." He admitted that although the intelligent operation and maintenance results of many industries are still being iterated and optimized, they can still bring a lot of value to operation and maintenance.
Full-process visual management, Donghua AIOps makes operation and maintenance smarter

In Cao Ronghai's view, AIOps needs a lot of technical support, such as data fusion (big data analysis), artificial intelligence (machine algorithm), operation and maintenance efficiency (automatic scheduling), data + visualization management (visual management), etc. These technologies can help enterprises realize intelligent functions such as standardized operation and maintenance management, intelligent control, operation and maintenance automation, and IT integrated monitoring, and create a full-process visual management platform for enterprise operation and maintenance personnel, and gain in-depth insights into equipment operation status, operation and maintenance personnel status, business application status, and other links.

The reporter learned that Donghua Software's thinking and exploration of AIOps has been continuously improved with the implementation of Donghua AIOps solutions. In the process of implementing intelligent operation and maintenance, Donghua AIOps solutions have always insisted on pursuing the actual implementation effects of "fast, stable and accurate". Cao Ronghai introduced that Donghua Software has helped customers realize truly intelligent operation and maintenance through AIOps. In different operation and maintenance scenarios, it uses dynamic visualization to realize practical functions such as automatic response to failures, automatic changes, and intelligent capacity expansion. At present, with the help of the AIOps platform's own correlation analysis, machine learning, data modeling, and global search capabilities, Donghua Software has been able to help customers analyze operation and maintenance data from multiple dimensions such as IT system behavior, status, configuration, failures, and events, generating values ​​such as performance trend prediction, rapid fault location, and business insights.

He took the most common precise alarm scenario as an example: Donghua Software's AIOps solution can collect various types of operation and maintenance data in real time, including logs, monitoring system alarms, performance data, etc., and through matching machine algorithms to mine and attribution analyze historical data, AIOps can find out which alarms and events appear frequently together, and treat them as alarms of the same type of fault, thereby merging multiple alarms and indicators and pushing them to operation and maintenance personnel to achieve refined alarm positioning and avoid alarm storms caused by a single fault in traditional monitoring tools, resulting in production alarm noise.
AIOps still needs to break through two barriers to take off in the future

In 2020, Donghua Software AIOps appeared in many industry markets. For example, in Leishenshan, Huoshenshan, Xiaotangshan and other hospitals at the front line of the fight against the epidemic at the beginning of the year, Donghua employees deployed remote and visualized intelligent operation and maintenance equipment to strongly support the country's anti-epidemic work. The platform scenario realization, fault prediction/recovery, alarm tracing analysis, alarm ecosystem and other functions in Donghua Software AIOps solutions have withstood the severe operation and maintenance tests brought by the epidemic.

Cao Ronghai said that the popularization of AIOps in China has become a general trend, and industries such as electricity, operators, and industrial manufacturing are all trying to implement AIOps platforms. However, the AIOps field still lacks relevant national and industry standards. For example, how to organically integrate the original operation and maintenance products and solutions into AIOps, which requires more standardization to be conducive to industrial development. In addition, how to make the best use of operation and maintenance data to drive business value, create more sophisticated operation and maintenance scenarios, and improve operational capabilities are also issues that need to be considered urgently in the development of AIOps. "Donghua Software will continue to explore the value of AIOps in enterprise operation and maintenance, and explore more complete AIOps operation and maintenance scenarios for the evolution of enterprise intelligent operation and maintenance."

If you want to know more about expert Cao Ronghai, please click here:

http://www..com/act/jiangxin/dhwzAIOps

[51CTO original article, please indicate the original author and source as 51CTO.com when reprinting on partner sites]