Cluster operation and maintenance state diagnosis method, operation and maintenance monitoring system and terminal, storage medium

Abstract

The invention discloses a method for diagnosing cluster operation and maintenance status. at least one item; obtain the operation and maintenance data volume of the cluster according to at least one cluster data, adjust at least one preset threshold and preset repair suggestions according to the operation and maintenance data volume; obtain the standard threshold range corresponding to each cluster operation and maintenance data, Determine whether the current actual value of each item of cluster operation and maintenance data exceeds its corresponding standard threshold range; if so, obtain the corresponding final repair suggestion based on the current actual value; display the diagnosis result, which includes each item of cluster operation and maintenance data Name, meaning, whether it exceeds the corresponding standard threshold range and / or remediation suggestions. The invention also discloses an operation and maintenance monitoring system, a terminal and a storage medium. The present invention can improve cluster operation and maintenance efficiency and reduce operation and maintenance risks.

Description

technical field [0001] The invention relates to the field of the Internet, in particular to a cluster operation and maintenance state diagnosis method, an operation and maintenance monitoring system, a terminal, and a storage medium. Background technique [0002] With the increasingly frequent use of commercial big data search scenarios, Elasticsearch has become the best choice among open source search engines with its excellent performance, rich functions, and complete ecosystem features. Therefore, the monitoring of ES (Elasticsearch) clusters has become an important IT (Internet Technology, Internet technology) operation and maintenance work content to ensure the stable operation of the business. [0003] In conventional ES operation and maintenance, only the infrastructure layer monitoring indicators of the cluster are usually collected, such as CPU (central processing unit, central processing unit) usage rate, memory usage rate, disk IO (Input / Output, input / output) inte...

AI Technical Summary

Problems solved by technology

Due to the complexity of the ES technology stack, the lack of monitoring indicators in a dedicated dimension will make it impossible to understand the health status of the cluster in time

At the same time, because common operation and maintenance personnel usually do not have an in-depth understanding of ES, they cannot know the optimal configuration for the current cluster, and often use the default configuration, which leads to the fact that the performance cluster cannot perform optimally in the actual environment, or even Unnecessary production accidents

Images