Kubernetes container network data packet index acquisition method and system based on dynamic service topology mapping

Abstract

The invention provides a Kubernetes container network data packet index acquisition method and a Kubernetes container network data packet index acquisition system based on dynamic service topology mapping. The method comprises the following steps: a) dynamically constructing a service topology mapping relation: sensing Endpoint change in real time, and constructing and updating a service topology mapping relation graph; b) dynamically identifying and acquiring Pod virtual network card equipment pairs: dynamically sensing Pod creation and destruction, and acquiring a Pod virtual network card equipment pair list on each node in real time; c) acquiring a Pod network data packet: performing packet capture on Pod external virtual network card equipment; and d) carrying out association analysis on the network data packet and constructing and generating index data: carrying out association analysis on the data packet based on the service topology mapping relation graph, constructing and generating the index data and reporting the index data. According to the invention, the problem that the network data packet is difficult to associate and identify from the service dimension due to frequent change of the virtual IP of the Kubernetes container network is solved, the data packet can be quickly and accurately collected, identified and analyzed, the traffic collection covering the end-to-end (PodtoPod) is realized, and a complete network structure topology is established.

Description

technical field [0001] The present invention relates to the technical field of container network traffic collection and monitoring, in particular to a method and system for collecting Kubernetes container network data packet indicators based on dynamic service topology mapping. Background technique [0002] Currently, containerized deployment of enterprise-level applications is increasingly becoming the mainstream. Due to its lightweight and standardized implementation, Docker containerization technology has been developed rapidly and widely used in recent years. Kubernetes (K8s for short) is an open-source container scheduling platform across host clusters. It can automate the deployment, expansion, and operation of application containers and provide a container-centric infrastructure. It has become the de facto standard for container scheduling in the industry. While K8s and Docker have caused great changes in the industry, they have also brought new problems to network t...

AI Technical Summary

Problems solved by technology

In such a large-scale container network environment, in order to achieve comprehensive monitoring of distributed service deployment, some targeted solutions must be made. Traditional network monitoring methods are no longer applicable, and traffic collection must be able to The network in the container completely covers end-to-end, and can establish a complete network structure topology, establish a complete network transmission path, and call links between services, and provide information from the dimensions of network traffic, delay, error conditions, and load rate. Indicators for relevant personnel such as development, operation and maintenance, and products to understand the operation of the entire system, and to discover and locate problems in a timely manner

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