What are the advantages of AIOps compared with traditional operation and maintenance tools?

As a new mode of operation and maintenance that integrates algorithms into tools, AIOps can help enterprises to simplify the operation and maintenance work to the greatest extent and free themselves from time-consuming and error-prone processes.

With AIOps, when there are hidden dangers, the operation and maintenance personnel do not need to wait for the system to issue a fault alarm. Through the built-in machine learning algorithm and big data technology, they can automatically find all kinds of anomalies in the system, so as to judge the possibility, severity and impact of the fault from the anomalies, and rely on the analysis results of the data by the machine to judge the best response plan.

It can be seen that the management mode based on AIOps subverts the underlying technology of monitoring operation and maintenance. Traditional IT operation and maintenance management tools pay more attention to emergencies (namely alarms), configuration and performance, while AIOps pays more attention to problems, analysis and prediction, which can be said to complement each other.

For IT operation and maintenance personnel, when an alarm is confirmed, it not only means that you found the business failure at the first time, but also means that the business has been affected at the moment of the failure. With the emergence of AIOps, IT departments can find the abnormal operation of IT systems in advance through machine learning and algorithm technology, and take preventive or even evasive measures in advance to ensure that business failures do not occur or rarely occur, which is of great significance to both IT and business departments.