Performance testing method, platform and machine

Abstract

The invention discloses a performance testing method, comprising the steps of: determining a testing mode; when the testing mode is a mode of single machine independent testing, pushing a client script to a testing machine, so that the testing machine deploys a testing client by utilizing the client script; sending a testing command to the testing client to enable the testing client to download a corresponding toolkit according to the received testing command and run various testing tools in the downloaded toolkit; and receiving a testing result which is returned by the testing client and produced by running the testing tools. The invention also discloses a testing platform and machine.

Description

technical field [0001] The invention relates to the technical field of testing, in particular to a performance testing method, a testing platform and a testing machine. Background technique [0002] When performing performance testing on the server, it is mainly to use different tools or methods to perform performance testing on various aspects of the server, such as CPU performance testing, disk reading and writing ability testing, and so on. For different tests on the same server, it is necessary to use different tools to test on the server separately, then collect the test data generated by different test tools of the server, and finally enter the test data manually and convert the test data into charts to present the test results. However, this kind of testing process is time-consuming and laborious, requiring testers to continuously monitor the testing process and status. After completing a certain hardware test, it is necessary to manually switch to another tool to te...

AI Technical Summary

Problems solved by technology

[0004] It can be seen that when a large number of servers need to be tested in a large number of different aspects, due to the existence of a wide variety of tools, long test time, human intervention in the performance test process, repeated testing of multiple tools on a single server, and input and output differences between various tools It has disadvantages such as extremely high reliability, result analysis needs to be selected from a large amount of data, and various test types (including hardware test, performance test, application test, etc.), and this process needs to be repeated many times for different tests. For testers, This is a complex and cyclical operation. An operation error in a certain step will directly lead to an error in the test result, which will affect the next decision-making, and it is not convenient to carry out statistics when multiple servers are compared and analyzed

Due to the complexity and variety of tools and excessive manual intervention, a lot of manpower and test time were wasted, resulting in a high error rate of test data and unintuitive test results

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