End-to-end online research and development management system and method based on DevOps

Abstract

The invention discloses an end-to-end online research and development management system and method based on DevOps, and the system comprises the following parts: a research and operation integrated platform portal which is used as an entrance of a project research and development team, is used for the access of to-be-managed projects and data display, and provides a unified research and development and operation integrated service; a research and operation integrated management platform that is used for unified platformization and closed-loop management of project requirements, development testing, deployment and operation and project operation; and an research and operation integrated operation and maintenance platform that is used for basic management of the platform portal and the management platform, wherein management objects comprise projects, environments, integrated tools, workflows, Pipeline tasks, users and role authorities. According to the technical scheme of the invention,an end-to-end delivery assembly line of a project is built to promote the fine management of project research and development. According to the invention, optimization is carried out on processes ofdifferent levels, research and development processes tend to be fused, IT internal research and development is promoted to be light in weight, online, automatic and visual, team maturity is improved,and the service requirements for higher speed, higher quality and higher user experience are met.

Description

Technical field [0001] The invention belongs to the field of computer technology software development, and specifically relates to a DevOps platform supporting end-to-end solutions and landing consulting services. Background technique [0002] At present, most companies generally face problems that affect business support and delivery efficiency, such as insufficient R&D process management capabilities, each project fighting each other, existing process specifications cannot be effectively implemented, low development efficiency, poor version quality, and slow environmental delivery. To solve these problems, the current options for companies are: [0003] 1. Use open source tools on the market or purchase some commercial software for the problem, such as project management tools. Some small and medium-sized companies choose open source Zen Tao, and some large companies choose Jira, a commercial paid software, to solve them in this way However, even if they use many tools, such as ...

AI Technical Summary

Problems solved by technology

The problem with these solutions is that they are based on public cloud services, and they focus on the pipeline management of CI / CD tools, without the management of the overall R&D delivery process. The platform is highly dependent, resulting in platform binding, which is not conducive to the development of enterprises

[0005] Neither of the above two solutions can help enterprises quickly implement a standard, self-controllable enterprise R&D pipeline system, especially in today's prevailing microservices, an application is often composed of many microservices, and some are deployed on docker containers, while others are deployed on docker containers. On the vm virtual machine, how to quickly configure the release and deployment process for each service is quite tedious and error-prone work

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