Jenkins and K3S-based software environment rapid deployment method

Abstract

The invention relates to a jenkins and K3S-based software environment rapid deployment method, which realizes deployment of K3s and a distributed script system GlusterFS on the basis of an automatic operation and maintenance tool. Mounting to the distributed script system GlusterFS deployed in the step 1 through a K3s cluster machine is carried out, and the software yaml script to be deployed is defined. A jenkins docker container mirror image is constructed, so that rapid deployment of the jenkins environment is realized. A jenkins task is configured, a service code warehouse address is constructed, and an automatic production management script is generated. A shell script constructed by software is specified in the Pipline, and the automatic production management version description script is saved in a code directory. The corresponding container can be controlled to be restarted through K3s Kubectl, and service updating is achieved. Therefore, delivery and deployment of small and medium-sized software projects are facilitated, deployment is quick, and later operation and maintenance are convenient. The construction time in the software research and development process can be shortened, and construction can be conducted according to needs. And copying and reconstruction of a software research and development continuous integration environment are facilitated. Version management and version rollback are facilitated.

Description

technical field [0001] The invention relates to a rapid deployment method, in particular to a rapid deployment method for a software environment based on jenkins and K3S. Background technique [0002] As far as the existing software deployment stages are concerned, it has gone through several stages of development, as follows: [0003] The first stage 1. Manual code construction and manual deployment. The deployment method is mainly based on physical servers, and the basic software operating environment and business codes need to be installed one by one. [0004] The second stage 2. The development of virtualization technology, gradually migrating from physical machines to virtual machines. Along with some form of software automation for building and deploying. [0005] The third stage 3. With the new development of DevOps and the development of containerization technology. Gradually develop in the direction of automated construction, pipeline orchestration, and containe...

AI Technical Summary

Problems solved by technology

[0007] 1. The traditional software deployment method based on physical machines or virtual machines has a low degree of machine intensification, requires a large number of machine resources and operation and maintenance personnel, and requires a large number of deployment documents to support

Cannot meet the requirements of rapid delivery deployment

[0008] 2. Deployment based on the container image deployment method of the Kubernetes cluster. The deployment and structure of K8s itself is relatively complicated, which takes a long time and is difficult to operate and maintain.

Each deployment needs to build a container image, which takes a long time

[0009] 3. Realize various construction and deployment schemes of software based on jenkins, and the construction steps are complicated

Rely on the mirror warehouse, and it takes a long time

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