Application publishing method and system based on kubernetes

Abstract

The invention relates to an application publishing method and system based on kubernetes, electronic equipment and a storage medium. The method comprises the steps of: selecting application necessaryinformation based on kubernetes to create an application, and configuring construction parameters and release parameters of the application respectively; constructing an application mirror image basedon Jenkins and the necessary information of the application, and storing mirror image information of the application mirror image to a database to complete application construction; and receiving a user publishing instruction, and calling the kubernets API by the application mirror image to complete publishing. The general application publishing system supporting multiple technical stacks is realized by arranging the kubernetes based on the open source container, and has the advantages that the application publishing docking cost is reduced, the application publishing period is shortened, theapplication publishing risk is reduced, and the cluster resource utilization rate is improved.

Description

technical field [0001] The present disclosure relates to the Internet field, and in particular, relates to a kubernetes-based application publishing method, system, electronic device, and computer-readable storage medium. Background technique [0002] In the application architecture scenario with a large number of microservices, how to efficiently build and release applications is a very challenging problem. Traditional manual or semi-automatic maintenance methods are very inefficient and error-prone in scenarios with a large number of applications. [0003] There are currently two mainstream solutions: [0004] 1) Application publishing based on virtual machines / physical machines: Most of them are based on task orchestration tools such as ansible, and push applications to several virtual hosts / physical machines in a predefined manner. [0005] 2) Container-based application publishing: most of them are based on docker containerization technology, and distribute the built ...

AI Technical Summary

Problems solved by technology

[0007] 1) Both of the above two methods require a lot of manual participation in the development and debugging of application deployment scripts, and there are many repetitive tasks and error-prone

[0008] 2) The release of applications based on virtual machines / physical machines requires manual installation of the program runtime environment and dependencies in advance, which is not convenient for rapid server migration and disaster recovery processing

[0009] 3) The docker container itself lacks a unified arrangement of the underlying physical cluster resources, and lacks an efficient scheduling mechanism under large-scale clusters

[0010] 4) The traditional containerization solution still needs to be customized, developed and debugged for the deployment process of each application and technology stack, the proportion of manual participation is high, and there are problems such as repetitive labor

Images