Platform cluster deployment method, device and system and computer readable storage medium

Abstract

The invention relates to the technical field of research and development process optimization, and provides a platform cluster deployment method, device and system and a computer readable storage medium, and the method comprises the following steps: determining environment information of a target cluster, and generating a format file of the target cluster based on the environment information; generating a task file corresponding to the target cluster based on a target container corresponding to the target cluster and the format file; and starting the target cluster based on the target container and the task file. An automatic deployment platform cluster is realized by adopting the target container, the environment information of the cluster is integrated into one format file, and the task file of the cluster is generated based on the target container and the format file, namely, a series of tasks for starting the cluster are constructed into the task file, the cluster can be started by executing the tasks in the task file, and intelligent deployment of the cluster is rapidly realized. In addition, the invention also relates to a blockchain technology, and the privacy information can be stored in a blockchain.

Description

technical field [0001] The present invention relates to the technical field of research and development process optimization, and in particular to a platform cluster deployment method, device, system and computer-readable storage medium. Background technique [0002] As a new technology for deploying applications and services in the cloud, microservice has become the latest hot topic and is also the development trend of IT industry software. By deploying clusters, enterprises no longer need to use a series of open source software to build container service platforms from scratch. [0003] At present, more and more enterprises use open source clusters, such as rancher, as a platform for managing cloud services, and the deployment method of the cluster platform is simple. When the number of cluster hosts is small, manual command line deployment can be used in daily work to build and deploy . However, when the number of cluster hosts is large, manually filling in cluster host...

AI Technical Summary

Problems solved by technology

However, when the number of cluster hosts is large, manually filling in cluster hosts will not only lengthen the environment recovery time, but also waste valuable human resources, especially in an unstable development environment. Since the development environment has been in the debugging stage, the current framework It is very likely that it will be cleared and rebuilt. If the manual method is still used, the operation and maintenance personnel will continue to invest in repetitive and low-value labor, and each deployment of a cluster needs to be rebuilt. Obviously, the deployment of existing clusters The way is not smart enough to be implemented easily and quickly

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