An application creation system having open pipeline architecture

Abstract

The invention discloses an application creation system with an open pipeline architecture. The application creation system comprises a task creation unit, a plurality of primary task execution units and a secondary task execution unit, wherein the plurality of secondary task execution units are sequentially coupled to form a task queue, and each primary task execution unit corresponds to one taskqueue; the task creation unit receives an application creation request sent by a client, splits a to-be-created application into a plurality of sub-tasks and issues the sub-tasks to the primary task execution unit; the primary task execution unit monitors the sub-tasks distributed by the task creation unit, splits the sub-tasks into a plurality of stage tasks according to the execution logic of the sub-tasks, and sequentially sends the stage tasks to each secondary task execution unit through a task queue; the execution of the task of the next stage is triggered among the plurality of secondary task execution units through chain transmission; according to the system, a user is supported to expand own characteristic application according to own service characteristics without changing the existing pipeline architecture, so that the workload of service expansion is reduced.

Description

technical field [0001] The invention belongs to the technical field of computer software, and more specifically relates to an application creation system with an open pipeline architecture. Background technique [0002] DevOps (DevOps) is a culture, movement or practice that values ​​communication and collaboration between "software developers (Dev)" and "IT operations technicians (Ops)". By automating the "software delivery" and "architecture change" processes, building, testing, and releasing software can be faster, more frequent, and more reliable. DevOps can be regarded as development (software engineering), technical operations, and quality assurance (QA) The intersection of the three. [0003] With the development of the new Internet economy and the continuous evolution of new technologies such as cloud computing, Internet of Things, big data, blockchain, AI, and 5G, how to easily respond to rapidly changing business needs, make full use of existing IT resources and r...

AI Technical Summary

Problems solved by technology

[0006] 2. The complexity of error rollback in the overall pipeline execution method is exponential times that of the stage. Since multiple stages in the pipeline are formed by dynamic splicing of scripts, that is, adjacent stages are closely related. Rollback will affect the normal operation of other stages on the pipeline;

[0007] 3. Due to the high complexity of dynamically splicing pipeline scripts and error rollback of Pipeline jobs, the scalability of Pipeline jobs is poor, and the later maintenance costs are high

Images