Application deployment method and device and computer readable storage medium

Abstract

The invention discloses an application deployment method. The method comprises the steps of obtaining a plurality of Docker mirror images obtained by packaging executable programs of a plurality of to-be-deployed applications; storing the plurality of Docker mirror images in a Docker mirror image warehouse; obtaining a plurality of Helm application templates corresponding to the plurality of to-be-deployed applications and selected by a user at a client; storing the plurality of Helm application templates in an application template warehouse; acquiring set deployment task information of the plurality of Helm application templates, and creating a set deployment task according to the set deployment task information; receiving a deployment instruction for executing the set deployment task, calling a Helm CLI to send a deployment request to the Kubernetes cluster based on the deployment instruction, such that a Kube-apiserver in a Kubernetes cluster calls a Tiler of a Helm, and the Tiler deploys a plurality of applications to be deployed on the basis of a Helm application template and a Docker mirror image in an application template warehouse. The invention further provides a deployment device and a computer readable storage medium. According to the invention, the efficiency of deploying a plurality of applications can be improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an application deployment method, device and computer-readable storage medium. Background technique [0002] With the transformation of business containerization and system architecture to microservice architecture, it has become a development trend to decompose a huge monolithic application into multiple services. This method decomposes the complexity of monolithic applications and makes each microservice Services can be deployed and expanded independently, which is conducive to agile development and rapid iteration. However, when decomposing a huge monolithic application into multiple services, the number of services increases significantly due to the application being split into multiple services (or components), and each service usually has its own resource file, so when deploying It is necessary to manage, edit, and install various files (mirrors, dependencies, et...

AI Technical Summary

Problems solved by technology

However, when decomposing a huge monolithic application into multiple services, the number of services increases significantly due to the application being split into multiple services (or components), and each service usually has its own resource file, so when deploying It is necessary to manage, edit, and install various files (mirrors, dependencies, etc.) required by each service, which makes it inefficient when deploying a large number of services

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