Container cloud-based pressure testing method and system

Abstract

The invention provides a container cloud-based pressure testing method and system. The method comprises the following steps: assembling a pressure test script according to pressure test elements of areceived pressure test task; carrying out parameterization on values needing to be changed in the pressure measurement process in the pressure measurement foot notebook message body, and replacing theparameterized values with different data in combination with the pressure measurement data so as to generate an effective pressure measurement message when a pressure measurement script is operated;calculating the number of required containers according to the concurrent number of the pressure measurement task, and generating a corresponding number of containers on the Docker container cloud; and distributing the pressure test script containing the pressure test data to the generated container for pressure test. The situation that the traditional pressure is increased by thousands of times is achieved, and the pressure measurement requirement of internet finance is met; the multiplexing of pressure measurement resources is realized, and the deployment cost of the pressure measurement machine is reduced; cloud pressure measurement is introduced, an idle machine is fully utilized, and super-large concurrence and even wave concurrence are achieved through the characteristic that cloud elasticity is extensible. Lightweight deployment is realized, and development and test coordination is realized.

Description

technical field [0001] The invention relates to the field of software stress test automation, in particular to a container cloud-based stress test method and system. Background technique [0002] The rapid growth of Internet business requires shorter and shorter product development, iteration, and delivery cycles. The extensive cloudification of IT infrastructure and the extensive use of third-party API interfaces have made traditional stress testing methods and testing tools based on internal environments more and more difficult. The more difficult it is to meet the needs of application function availability and container planning estimates. [0003] The existing stress testing process is usually: use the traditional stress testing tool LOADRUNNER (hereafter referred to as LR) to perform hundreds of concurrent stress tests, and manually record the resource consumption of the server, and manually log the stress test As a result, if it is necessary to achieve tens of thousan...

AI Technical Summary

Problems solved by technology

[0004] 1) The concurrency of traditional pressure testing using LR is not high enough to effectively simulate high-concurrency scenarios on the Internet. The lack of effective means is to estimate the production capacity capacity by comparing the test environment with the production environment, making some performance problems until production was discovered

[0005] 2) The physical machines for stress testing are in great demand and cannot be reasonably utilized

For example, a physical stress testing machine lacks the monitoring of available resources during the stress testing of application A, which makes it impossible for the stress testing machine to be used as a stress testing machine by application B at the same time.

[0006] 3) The deployment of stress testing tools is complex and time-consuming

For example, it takes nearly an hour to deploy an LR stress test physical machine, and different configurations need to be modified for different stress tests, which greatly consumes the deployment time

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