Workload combination unified deployment method and system based on multi-container cluster

Abstract

The invention relates to a workload combination unified deployment method and system based on a multi-container cluster, and the method comprises the following steps: 1, generating a to-be-filled workload configuration file according to the related information of a micro-service in an external user application after responding to the external user application; 2, according to batch information in an external user application, filling the batch information into a workload configuration file for combination; 3, according to batch customization attributes in the batch information, covering information in the corresponding workload configuration file, and obtaining a complete workload configuration file; 4, according to the associated container cluster information in the batch information and the configuration information of each container cluster, generating a real cluster API access interface configuration for each work load configuration file and sending the real cluster API access interface configuration to the corresponding cluster for unified deployment. Meanwhile, the invention provides a system corresponding to the method, and compared with the prior art, the invention has the advantages of being suitable for multi-place deployment and the like.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a multi-container cluster-based unified deployment method and system for workload combination. Background technique [0002] With the use of Kubernetes container clusters, we found that there is always an upper limit to the capacity and capability of a single container cluster, and there are often multiple off-site computer rooms in the enterprise. It is not recommended to deploy container clusters in off-site locations, which will reduce its internal scheduling. efficiency. At the same time, for an application, its logical architecture may span multiple physical clusters. The traditional deployment based on a single container cluster will limit the efficiency of application deployment, and cannot meet the requirements of multi-active and unitized applications in different places. This creates a scenario where the system is logically managed in a unified manner but phy...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, the Federation cluster federation architecture provided by the Kubernetes community is adopted. The cluster federation architecture has certain requirements for the version of Kubernetes, and cannot solve the problem of heterogeneous clusters; a container cluster management platform is designed and developed at the top level, and for each container cluster Unified management of applications deployed across clusters cannot be achieved through management scheduling

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