Method and system for continuous deployment based on multiple jenkins

Abstract

The present invention provides a method and system for continuous deployment based on multiple Jenkins, which can enable software products to use unified processes and tools for automated testing in various environments, realize reliable automatic continuous deployment, and make truly effective software finally Published in production environment. The method includes: setting up respective Jenkins platforms for the test environment, the quasi-production environment, and the production environment; A remote trigger mechanism is established between platforms; when there is a code change, the software after the code change is continuously deployed between environments.

Description

technical field [0001] The invention relates to the fields of computer technology and software, in particular to a method and system for continuous deployment based on multiple Jenkins. Background technique [0002] Continuous deployment is a series of software development practices used to ensure that code can be quickly and safely deployed to production environments. It enables every change of the code to be submitted to the simulated production environment, and undergoes strict automated testing to ensure that business applications and services can meet expectations before being deployed to the production environment. Continuous deployment can enable software defects to be discovered and repaired as early as possible, reduce project costs, reduce a lot of manual work, and improve the efficiency of software development. [0003] In continuous deployment, environments are usually divided into test environments, quasi-production environments, and production environments. A...

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Problems solved by technology

[0008] In view of the need for manual approval and the network isolation between the production environment and the non-production environment, the software deployed in the two environments may not even be built at the same time. This inconsistency increases the unreliability of the production environment products. It also increases the complexity of software problem solving;

[0009] In addition, due to the continuous intervention of people in the whole process, a large amount of repetitive work, and the handling of interfaces between various deployment tools, the labor cost is also greatly increased.

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