Automated program issuing method based on private cloud

Abstract

The invention discloses an automated program issuing method based on a private cloud. The method is implemented through the steps that after a program is developed by developers and passes a test, program files are sorted into a compressed package by background personnel according to all applications, and the compressed package is updated to a private cloud server; when a project needs to conduct program issuing, whether a usable update version exists or not is automatically detected on the private cloud server through a script tool, and if yes, a new version program package is downloaded to the local; the program files are automatically issued to corresponding catalogs of an application server, and then program issuing is completed. Compared with the prior art, the automated program issuing method based on the private cloud has the advantages that new version files can be automatically downloaded and automatically issued to the corresponding paths of the application server while a new program version is detected, automated issuing of the program files can be achieved, the issuing procedures are significantly simplified, issuing of the program files becomes versionable, operation is easy, the practicability is high, and popularization is easy.

Description

technical field [0001] The invention relates to the technical field of computer software, in particular to a highly practical automatic program publishing method based on a private cloud. Background technique [0002] In the process of software research and development, the product research and development center continuously develops and improves new requirements, and sends the developed program code to the project. The project needs to release the program in time, that is, upload the program file to the designated directory of the application server. This work can be done manually in the case of small and medium-sized projects and the project deployment is relatively simple, but in a large distributed system, a set of products is usually divided into a lot of applications, and the project deployment is relatively complicated, each Applications may be deployed on one or more servers, which doubles the workload of the work, and manual operations are prone to negligence and e...

AI Technical Summary

Problems solved by technology

This work can be done manually in the case of small and medium-sized projects and the project deployment is relatively simple, but in a large distributed system, a set of products is usually divided into a lot of applications, and the project deployment is relatively complicated, each Applications may be deployed on one or more servers, which doubles the workload of the work, and manual operations are prone to negligent errors, etc., resulting in difficulties in product release