MongoDB database monitoring method based on Kubernetes container technology

Abstract

The invention provides a MongoDB database monitoring method based on a Kubernetes container technology, and belongs to the technical field of virtual machine index monitoring in a Kubernetes environment. The method comprises the following steps: utilizing various plug-ins of Telegraf deployed in a Pod container, and formulating a configuration file to complete filtering and storage redirection of collected indexes; collecting a service monitoring index, an application monitoring index and a network monitoring index into the same logic table; marking and classifying the data by using a global label; and adding an identifier to the data, and storing the data in Influxdb deployed by the Pod container. By means of the method, on the premise of not involving Telegraf plug-in modification, collection and classified storage of various monitoring index data can be completed, only effective data is collected and summarized, the storage cost is saved, and the storage and query efficiency is improved. Technical requirements for scheme use are reduced, and use is convenient.

Description

technical field [0001] The invention relates to the technical field of virtual machine index monitoring in a Kubernetes environment, in particular to a MongoDB database monitoring method based on Kubernetes container technology. Background technique [0002] Kubernetes is currently the most popular and de facto standard container cluster management platform. It provides a series of complete functions for containerized applications such as clustered deployment and operation, automatic resource scheduling, and dynamic horizontal scaling. Although the Kubernetes platform itself has realized real-time monitoring of application status, the monitoring indicators and methods are still relatively basic, and it is difficult to meet various complex and personalized monitoring and management needs. Therefore, on the basis of Kubernetes, we need to add an independent monitoring system that does not affect the architecture and deployment of existing application clusters, and is fully fun...

AI Technical Summary

Problems solved by technology

[0004] The solutions provided by many open source monitoring software can solve the monitoring problem at some levels, but they cannot provide an integrated resource monitoring solution for the open source cloud platform as a whole and in multiple directions.

[0005] Most of the existing applications collected by Telegraf use the method of modifying the plug-in source code to achieve data filtering and aggregation, which requires high technical level of users, and the verification process of source code modification is complicated and inefficient

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