A complex operation and maintenance job orchestration and scheduling system and method

Abstract

The invention relates to a complex operation and maintenance job scheduling and scheduling system, including a task scheduling module, a task scheduling module and a task execution module; wherein, the task scheduling module is used to divide the job into an overall complex task Task, an operation step step and an execution task The three types of job objects are arranged according to the data and association relationships of the three types of objects; the task scheduling module is used to divide the task scheduling into three levels of scheduling: server, scheduler and worker, and execute task scheduling according to the arrangement of the task scheduling module; The task execution module is used to execute tasks according to the worker scheduling of the task scheduling. This method can template the complex operation and maintenance process of multiple machines, and realize fast and efficient execution of tasks through three-layer scheduling. Reduce the manual intervention process of operation and maintenance personnel. Improve operation and maintenance efficiency.

Description

technical field [0001] The invention belongs to the technical field of digital business, and in particular relates to a complex operation and maintenance job arrangement and scheduling system and a method thereof. Background technique [0002] Ansible is a new automated operation and maintenance tool. Based on Python development, it combines the advantages of many operation and maintenance tools (puppet, cfengine, chef, func, fabric), and realizes functions such as batch system configuration, batch program deployment, and batch operation commands. [0003] With the advancement of Internet + and the wave of de-IOE, the number of X86 servers in traditional industries has gradually increased. The direct consequence of the sharp increase in the number of servers is the increase in the complexity of operation and maintenance. Moreover, as the number of applications increases, it is necessary to perform very complex operations such as fast and efficient backup or continuous deplo...

AI Technical Summary

Problems solved by technology

The direct consequence of the sharp increase in the number of servers is the increase in the complexity of operation and maintenance

Moreover, as the number of applications increases, it is necessary to perform very complex operations such as fast and efficient backup or continuous deployment of multiple applications at the same time.

Traditional operation and maintenance ideas have been difficult to meet the actual needs

Images