WO2020238965A1

WO2020238965A1 - Production environment performance evaluation method and apparatus, and storage medium

Info

Publication number: WO2020238965A1
Application number: PCT/CN2020/092638
Authority: WO
Inventors: 安继贤; 李晶; 晋晓峰; 盛勤
Original assignee: 深圳前海微众银行股份有限公司
Priority date: 2019-05-31
Filing date: 2020-05-27
Publication date: 2020-12-03
Also published as: CN110188027A

Abstract

Disclosed in the present application is a production environment performance evaluation method, comprising: when a system performance test request is received, obtaining relevant index parameters of a test environment to which a system belongs and resource configuration parameters of a production environment to be evaluated; calculating the number of requests per second of the production environment according to the relevant index parameters, the resource configuration parameters, and a preset calculation rule; and displaying the relevant index parameters and the number of requests per second of the production environment at the same time by means of a performance test report so as to guide a user to evaluate the performance of the production environment.

Description

Performance evaluation method, device and storage medium of production environment

This application claims the priority of the Chinese patent application filed on May 31, 2019, with the application number 201910475996.4, titled "Production Environment Performance Evaluation Method, Device, Equipment, and Storage Medium", the full text of which is hereby incorporated by reference .

Technical field

This application relates to the technical field of financial technology (Fintech), in particular to a method, device and computer-readable storage medium for performance evaluation of a production environment.

Background technique

With the development of computer technology, more and more technologies (Big Data, Distributed, Blockchain, Artificial Intelligence, etc.) are applied in the financial field, and the traditional financial industry is gradually changing to Fintech. Fintech system projects are increasing, and the demand for performance testing of system projects and performance evaluation of the generation environment is also increasing. Currently, performance testers need to output a performance test result report after receiving the project performance test requirements, and then the operation and maintenance personnel will report on the performance test results output by the testers, combined with the environment deployment of the production environment and their own operation and maintenance Experience, evaluate the performance of the production environment to determine whether the current machine configuration meets the business volume after the project goes online. Therefore, the evaluation method of the exemplary production environment not only has a cumbersome operation process, but also has low evaluation efficiency.

Summary of the invention

technical problem

The solution to the problem

Technical solutions

The main purpose of this application is to propose a production environment performance evaluation method, device, and computer-readable storage medium, which aims to solve the technical problems of cumbersome operation procedures and low evaluation efficiency of the exemplary production environment evaluation method.

In order to achieve the above objective, the present application provides a performance evaluation method for a production environment. The performance evaluation method for the production environment includes the following steps:

Receiving a system performance test request, obtaining relevant index parameters of the test environment to which the system belongs and resource configuration parameters of the production environment to be evaluated;

Calculate the number of requests per second of the production environment to be evaluated according to the relevant index parameters, resource configuration parameters, and preset calculation rules;

The performance test report simultaneously displays the relevant index parameters and the number of requests per second of the production environment to be evaluated, so as to guide the user to perform the performance evaluation of the production environment.

In an embodiment, the related index parameters include TPS_T (requests per second in the test environment), CC_T (total number of CPUs in the test environment), and RU_T (CPU usage percentage in the test environment), according to the relevant index parameters , Resource configuration parameters and preset calculation rules, the steps of calculating the number of requests per second of the production environment to be evaluated include:

According to the TPS_T, CC_T, and RU_T, the calculated value CP_PerC of each CPU is calculated, where the calculation formula of CP_PerC is:

CP_PerC=TPS_T/(CC_T*RU_T);

According to the resource configuration parameter and the CP_PerC, the number of requests per second of the production environment to be evaluated is calculated.

In an embodiment, the resource configuration parameters include CC_P (the number of CPUs in each server in the production environment to be evaluated), SN_P (the number of deployment servers in the production environment to be evaluated), and RT_P (the CPU in the production environment to be evaluated) Occupancy limit) and Rd (the percentage of CPU work loss of the production environment to be evaluated). The step of calculating the number of requests per second of the production environment to be evaluated according to the resource configuration parameters and the CP_PerC includes:

According to the CP_PerC, CC_P, SN_P, RT_P and Rd, the number of requests per second TPS_P of the production environment to be evaluated is calculated, where the calculation formula of TPS_P is:

TPS_P=CP_PerC*CC_P*SN_P*RT_P*(1-Rd).

In an embodiment, after the performance test report simultaneously displays the relevant index parameters and the number of requests per second of the production environment to be evaluated, so as to guide the user to perform the steps of the production environment performance evaluation, the method further includes:

Receive a performance evaluation report generation instruction triggered by a user operation, and obtain a preset performance evaluation report template;

Fill in the mapping table according to the preset, fill in the relevant index parameters, resource configuration parameters, and the number of requests per second of the production environment to be evaluated into the corresponding area of the preset performance evaluation report template, and generate the corresponding data for the production environment to be evaluated Performance evaluation report.

In one embodiment, after the performance test report simultaneously displays the relevant index parameters and the number of requests per second of the production environment to be evaluated, so as to guide the user to perform the steps of the production environment performance evaluation, the method further includes:

The resource evaluation instruction is received, and the request per second threshold TPS_Y in the resource evaluation instruction is acquired;

Calculate the server quantity threshold SN_Y according to the TPS_Y, CP_PerC, CC_P and SN_P;

According to the SN_P and the SN_Y, determine whether it is necessary to expand or reduce the capacity of the production environment to be evaluated;

If the production environment to be evaluated needs to be expanded, the number of servers to be expanded is determined according to the difference between the SN_P and SN_Y.

In one embodiment, the calculation formula of SN_Y is:

SN_Y=TPS_Y/CP_PerC/CC_P-SN_P.

In an embodiment, after the step of determining whether the production environment to be evaluated needs to be expanded according to the SN_P and the SN_Y, the method further includes:

If it is necessary to reduce the capacity of the production environment to be evaluated, the number of servers to be reduced is determined according to the difference between the SN_P and SN_Y.

In an embodiment, the step of calculating the number of requests per second of the production environment to be evaluated according to the related index parameters, resource configuration parameters and preset calculation rules includes:

Exporting the relevant index parameters and resource configuration parameters to a table application;

In the table application, the relevant index parameters and resource configuration parameters are calculated according to the preset calculation rules to generate the number of requests per second of the production environment to be evaluated.

In addition, in order to achieve the above objective, the present application also provides a performance evaluation device for a production environment. The performance evaluation device for a production environment includes: a memory, a processor, and a memory, a processor, and a memory and a processor that are stored in the memory and run on the processor The performance evaluation program of the production environment, when the performance evaluation program of the production environment is executed by the processor, the following steps are implemented:

The performance test report simultaneously displays the related index parameters and the number of requests per second of the production environment to be evaluated, so as to guide the user to perform the performance evaluation of the production environment.

In an embodiment, the related index parameters include TPS_T (requests per second in the test environment), CC_T (total number of CPUs in the test environment), and RU_T (percentage of CPU usage in the test environment). The performance evaluation program of the production environment When executed by the processor, the following steps are implemented:

CP_PerC=TPS_T/(CC_T*RU_T);

In an embodiment, the resource configuration parameters include CC_P (the number of CPUs in each server in the production environment to be evaluated), SN_P (the number of deployment servers in the production environment to be evaluated), and RT_P (the CPU in the production environment to be evaluated) Occupancy limit) and Rd (the percentage of work loss of the CPU in the production environment to be evaluated), the following steps are implemented when the performance evaluation program of the production environment is executed by the processor:

According to the CP_PerC, CC_P, SN_P, RT_P, and Rd, the number of requests per second TPS_P of the production environment to be evaluated is calculated, where the calculation formula of TPS_P is:

TPS_P=CP_PerC*CC_P*SN_P*RT_P*(1-Rd).

In an embodiment, the following steps are implemented when the performance evaluation program of the production environment is executed by the processor:

Receiving the resource evaluation instruction, obtain the request per second threshold TPS_Y in the resource evaluation instruction;

In one embodiment, the calculation formula of SN_Y is:

SN_Y=TPS_Y/CP_PerC/CC_P-SN_P.

In addition, in order to achieve the above object, the present application also provides a computer-readable storage medium, the computer-readable storage medium stores a performance evaluation program for the production environment, and the performance evaluation program for the production environment is executed when the processor is executed. The steps of the performance evaluation method of the production environment as described above.

When receiving the system performance test request, this application obtains the relevant index parameters of the test environment to which the system belongs and the resource configuration parameters of the production environment to be evaluated; calculates according to the relevant index parameters, resource configuration parameters, and preset calculation rules The number of requests per second of the production environment to be evaluated; the performance test report simultaneously displays the relevant index parameters and the number of requests per second of the production environment to be evaluated, so as to guide the user to perform the performance evaluation of the production environment. Through the above method, this application calculates and estimates the number of requests per second of the production environment to be evaluated through the relevant index parameters of the test environment and the resource configuration parameters of the production environment to be evaluated, and displays the performance test report of the system at the same time. The number of requests per second of the production environment to be evaluated simplifies the evaluation operation process of the production environment, improves the evaluation efficiency, and solves the technical problem of the cumbersome operation process of the evaluation method of the exemplary production environment and low evaluation efficiency.

The beneficial effects of the invention

Brief description of the drawings

Description of the drawings

FIG. 1 is a schematic diagram of a device structure of a hardware operating environment involved in a solution of an embodiment of the present application;

FIG. 2 is a schematic flowchart of the first embodiment of the performance evaluation method for the production environment of this application.

The realization, functional characteristics, and advantages of the purpose of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

Invention embodiment

Embodiments of the invention

It should be understood that the specific embodiments described here are only used to explain the application, but not to limit the application.

As shown in FIG. 1, FIG. 1 is a schematic diagram of the device structure of the hardware operating environment involved in the solution of the embodiment of the present application.

The performance evaluation device in the production environment of the embodiment of the application may be a PC or a server device, on which a Java virtual machine runs.

As shown in FIG. 1, the performance evaluation device of the production environment may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is used to implement connection and communication between these components. The user interface 1003 may include a display screen (Display) and an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a non-volatile memory (non-volatile memory), such as a magnetic disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

Those skilled in the art can understand that the structure of the device shown in FIG. 1 does not constitute a limitation on the device, and may include more or fewer components than those shown in the figure, or a combination of certain components, or different component arrangements.

As shown in FIG. 1, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a performance evaluation program of a production environment.

In the device shown in FIG. 1, the network interface 1004 is mainly used to connect to the back-end server and communicate with the back-end server; the user interface 1003 is mainly used to connect to the client (user side) and communicate with the client; and the processor 1001 can be used to call the performance evaluation program of the production environment stored in the memory 1005, and perform operations in the performance evaluation method of the production environment described below.

Based on the above hardware structure, an embodiment of the performance evaluation method for the production environment of the present application is proposed.

Referring to Fig. 2, Fig. 2 is a schematic flowchart of a first embodiment of a performance evaluation method for a production environment of this application, and the method includes:

Step S10, a system performance test request is received, and relevant index parameters of the test environment to which the system belongs and resource configuration parameters of the production environment to be evaluated are obtained;

In the existing performance test process, after the performance test of the system to be tested in the test environment, not only the tester needs to give a complete performance test report, but also a configuration evaluation based on the real production environment The performance evaluation results of the production environment are used to guide the resource deployment of the production environment of the system to be tested. The performance evaluation of the production environment is performed by the operation and maintenance personnel based on the relevant index data of the tester's performance test of the system to be tested and the configuration parameters of the production environment, and then the performance evaluation based on the operation and maintenance personnel's own previous production operation and maintenance experience. That is, after receiving the project performance test requirements, the performance testers will design performance test scenarios and performance test cases according to the project requirements, and obtain performance test results according to the use cases, and finally output a performance test result report. For the operation and maintenance personnel, they need to pay attention to the performance of the production environment after the project goes online. The operation and maintenance personnel will evaluate the production environment based on the performance test result report output by the tester, as well as the environment deployment of the production environment, and the operation and maintenance experience To determine whether the current machine configuration meets the business volume after the project goes online, and whether the production environment is expanded. Therefore, the current performance evaluation methods of the production environment have high labor costs, complicated processes, and involve testers, operation and maintenance personnel in multiple positions, and multiple result reports. Therefore, the current evaluation method operation process of the production environment is not only cumbersome but also inefficient. In order to solve the above problems, this embodiment provides a performance evaluation method for the production environment. The number of requests per second of the production environment to be evaluated is calculated through the relevant index parameters of the test environment and the resource configuration parameters of the production environment to be evaluated. And when the performance test report of the system is displayed, the number of requests per second of the production environment to be evaluated is also displayed, which simplifies the evaluation operation process of the production environment and improves the evaluation efficiency. Specifically, when a system performance test request is received, the relevant index parameters of the test environment of the system to be tested are acquired, where the relevant index parameters include TPS_T, CC_T, and RU_T, and TPS_T is the measured per second in the test environment The number of requests, CC_T is the total number of CPUs in the test environment, and RU_T is the percentage of resource usage in the test environment. After the test is completed, obtain the resource configuration parameters of the production environment to be evaluated, where the resource configuration parameters include CC_P, RT_P, and Rd. CC_P is the number of CPUs in each server in the production environment to be evaluated, and SN_P is the production environment to be evaluated The number of deployment servers in the production environment, RT_P is the CPU occupancy limit of the production environment to be evaluated, that is, a resource usage threshold is generally set in the production environment. If this threshold is exceeded, a resource limit alarm will occur, and Rd is the CPU of the production environment to be evaluated The percentage of work loss, that is, the percentage of resource loss caused by multiple servers working together in a distributed environment.

Step S20: Calculate the number of requests per second of the production environment to be evaluated according to the relevant index parameters, resource configuration parameters and preset calculation rules;

In this embodiment, first calculate the processing performance of each CPU, that is, the calculated value CP_PerC of each CPU, where the calculation formula of CP_PerC is: CP_PerC=TPS_T/(CC_T*RU_T);

The formula mainly calculates the calculated value of each core CPU based on the test results and resource usage of the test environment, and evaluates the performance of the production environment based on the calculated value obtained from the test environment. For example: the performance obtained by the test is 1000TPS, the system under test is deployed on 5 servers, and the number of cores (CPU) of each server is 6, and the CPU resource occupancy rate of the system under test during the test is 90% on average. Then the calculated CP_PerC=1000/(5*6*90%)=37.

Then calculate the number of requests per second TPS_P of the production environment, and perform the performance evaluation of the production environment, where the calculation formula of TPS_P is: TPS_P=CP_PerC*CC_P*SN_P*RT_P*(1-Rd). For example: the calculation value per core of the test environment is 37, the number of cores per server in the production environment is 4, the system under test is deployed on 20 servers in the production environment, the CPU usage limit in the production environment is 70%, and the distributed environment The performance loss caused by the cooperation of multiple servers is 0.05%. According to the above formula, the performance of the production environment is calculated as TPS_P=37*4*20*70%*(1-20*0.05%)=2051(TPS).

Step S30, simultaneously displaying the relevant index parameters and the number of requests per second of the production environment to be evaluated through the performance test report, so as to guide the user to perform the performance evaluation of the production environment.

In this embodiment, based on the combination of the above two formulas, the performance data of the production environment can be calculated in a standardized manner, that is, the number of requests per second of the production environment to be evaluated. When outputting the performance test results, it also includes the information about the production environment. Performance calculation, and unified display in the performance test report, it is convenient to guide operation and maintenance personnel in resource evaluation and capacity planning. Therefore, when the tester completes the performance test in the test environment, he can automatically calculate the performance data indicators of the production environment according to the current test data and production environment configuration, and according to certain product performance calculation methods, which are the same as the test environment performance The test results are attached to the performance test report. It solves the problem that there is no set of automated methods or formulas to unite the work of testers and operation and maintenance personnel for one-stop result output.

In this embodiment, when a system performance test request is received, the relevant index parameters of the test environment to which the system belongs and the resource configuration parameters of the production environment to be evaluated are obtained; according to the relevant index parameters, resource configuration parameters, and preset calculation rules, calculate The number of requests per second of the production environment to be evaluated is obtained; and the related index parameters and the number of requests per second of the production environment to be evaluated are simultaneously displayed through the performance test report, so as to guide the user to perform the performance evaluation of the production environment. Through the above method, this application calculates and estimates the number of requests per second of the production environment to be evaluated through the relevant index parameters of the test environment and the resource configuration parameters of the production environment to be evaluated, and displays the performance test report of the system at the same time. The number of requests per second of the production environment to be evaluated simplifies the evaluation operation process of the production environment, improves the evaluation efficiency, and solves the technical problem of the cumbersome operation process of the evaluation method of the exemplary production environment and low evaluation efficiency.

Further, based on the first embodiment of the performance evaluation method for the production environment of the present application, a second embodiment of the performance evaluation method for the production environment of the present application is proposed.

In this embodiment, after step S30, the performance evaluation method of the production environment further includes:

In order to provide a unified generation environment performance evaluation report to facilitate the use of related users, in this embodiment, upon receiving a performance evaluation report generation instruction triggered by a user operation, a preset performance evaluation report template corresponding to the generation environment is obtained. Then fill in the relevant index parameters of the test environment, the resource configuration parameters of the generation environment to be evaluated, and the calculated number of requests per second TPS_P of the production environment to be evaluated according to the preset filling relationship set in the mapping table. Preset the corresponding area set in the performance evaluation report template, generate the corresponding performance evaluation report, and provide an export interface. In a specific embodiment, the above-mentioned data in the performance evaluation report of the value to be filled is all stored in the performance platform to facilitate subsequent reading. In more embodiments, if it is detected that the user does not have a special format requirement, the performance test report carrying the requests per second of the production environment to be evaluated may be displayed in feedback according to the performance evaluation report instruction.

Further, based on the first embodiment of the performance evaluation method for the production environment of the present application, a third embodiment of the performance evaluation method for the production environment of the present application is proposed.

In order to further provide specific production environment evaluation opinions, in this embodiment, according to the current production environment TPS_P and the number of requests per second threshold TPS_Y, it is determined whether the current production environment needs to be expanded or reduced. Specifically, when the resource evaluation instruction is received, the request per second threshold TPS_Y set in the resource evaluation instruction is acquired, and the request per second threshold TPS_Y is combined with the resource configuration parameters of the production environment, that is, each CPU The calculated value of CP_PerC, the number of CPUs CC_P of each server in the production environment to be evaluated, the number of deployment servers SN_P in the production environment to be evaluated, and the calculation formula of the SN_Y calculate the server number threshold SN_Y, where the SN_Y The calculation formula for is: SN_Y=TPS_Y/C P_PerC/CC_P-SN_P. The SN_P and the SN_Y are compared to determine whether the current server number SN_P of the production environment reaches the server number threshold SN_Y, so as to determine whether the production environment to be evaluated needs to be expanded or reduced. If the current server number SN_P of the production environment exceeds the server number threshold SN_Y, the production environment needs to be reduced, and the number of servers to be reduced is determined according to the difference between the SN_P and SN_Y; If the current server number SN_P of the production environment is lower than the server number threshold SN_Y, the production environment needs to be expanded, and the number of servers to be expanded is determined according to the difference between the SN_P and SN_Y. In a specific embodiment, a fault tolerance value may be set, that is, the difference between the current server number SN_P of the production environment and the server number threshold SN_Y is within the fault tolerance value, and there is no need to adjust the resources of the production environment.

Based on the first embodiment and the second embodiment, further, the step S30 specifically includes:

In order to provide multiple calculation methods and provide user experience, in this embodiment, in the stress testing tool or platform, automatic calculation is not necessarily required, and the performance of the production environment can also be calculated in other ways. For example: embed the above two calculation formulas into the Execl table, after the performance test is completed, import the relevant index parameters and resource configuration parameter data into the Execl table, and calculate the number of requests per second of the production environment to be evaluated by Execl . In a specific embodiment, the calculation formula and related data of whether capacity expansion or contraction is required can also be imported into the Execl table, and the current server number SN_P in the production environment and the server number threshold SN_Y can be obtained through Execl calculation.

The application also provides a performance evaluation device for the production environment. The performance evaluation device of the production environment includes a memory, a processor, and a performance evaluation program of the production environment stored on the memory and capable of running on the processor, and the performance evaluation program of the production environment is processed by the The following steps are implemented when the device is executed:

Further, the relevant index parameters include TPS_T (the number of requests per second in the test environment), CC_T (the total number of CPUs in the test environment), and RU_T (the percentage of CPU usage in the test environment), and the performance evaluation program of the production environment is The processor implements the following steps when executing:

According to the TPS_T, CC_T and RU_T, the calculated value CP_PerC of each CPU is calculated, where the calculation formula of CP_PerC is:

CP_PerC=TPS_T/(CC_T*RU_T);

Further, the resource configuration parameters include CC_P (the number of CPUs of each server in the production environment to be evaluated), SN_P (the number of deployment servers in the production environment to be evaluated), and RT_P (the CPU occupation limit of the production environment to be evaluated) And Rd (the work loss percentage of the CPU in the production environment to be evaluated), when the performance evaluation program of the production environment is executed by the processor, the following steps are implemented:

TPS_P=CP_PerC*CC_P*SN_P*RT_P*(1-Rd).

Further, when the performance evaluation program of the production environment is executed by the processor, the following steps are implemented:

Further, the calculation formula of SN_Y is:

SN_Y=TPS_Y/CP_PerC/CC_P-SN_P.

For the method implemented by the above-mentioned production environment performance evaluation program, reference may be made to the various embodiments of the production environment performance evaluation method of the present application, which will not be repeated here.

The application also provides a computer-readable storage medium.

The computer-readable storage medium of the present application stores the performance evaluation program of the production environment, and the performance evaluation program of the production environment is executed by the processor to realize the steps of the performance evaluation method of the production environment as described above.

Wherein, the method implemented when the performance evaluation program of the production environment running on the processor is executed can refer to the various embodiments of the performance evaluation method of the production environment of the present application, which will not be repeated here.

It should be noted that in this article, the terms "including", "including" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, It also includes other elements that are not explicitly listed, or elements inherent to the process, method, article, or system. Without more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, method, article or system that includes the element.

The serial numbers of the foregoing embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the method of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better.的实施方式。 Based on this understanding, the technical solution of this application essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM) as described above. , Magnetic disks, optical disks), including several instructions to make a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the method described in each embodiment of the present application.

The above are only the preferred embodiments of this application, and do not limit the scope of this application. Any equivalent structure or equivalent process transformation made using the content of the description and drawings of this application, or directly or indirectly applied to other related technical fields , The same reason is included in the scope of patent protection of this application.

Claims

A performance evaluation method for a production environment, wherein the performance evaluation method for a production environment includes the following steps:

Receiving a system performance test request, obtaining relevant index parameters of the test environment to which the system belongs and resource configuration parameters of the production environment to be evaluated;

Calculate the number of requests per second of the production environment to be evaluated according to the relevant index parameters, resource configuration parameters, and preset calculation rules; and

The performance test report simultaneously displays the relevant index parameters and the number of requests per second of the production environment to be evaluated, so as to guide the user to perform the performance evaluation of the production environment.
The performance evaluation method of the production environment according to claim 1, wherein the relevant index parameters include TPS_T (requests per second of the test environment), CC_T (total number of CPUs in the test environment), and RU_T (CPU usage percentage of the test environment) ), the step of calculating the number of requests per second of the production environment to be evaluated according to the relevant index parameters, resource configuration parameters and preset calculation rules includes:

According to the TPS_T, CC_T, and RU_T, the calculated value CP_PerC of each CPU is calculated, where the calculation formula of CP_PerC is:

CP_PerC=TPS_T/(CC_T*RU_T); and

According to the resource configuration parameter and the CP_PerC, the number of requests per second of the production environment to be evaluated is calculated.
The performance evaluation method of the production environment according to claim 2, wherein the resource configuration parameters include CC_P (the number of CPUs in each server in the production environment to be evaluated), SN_P (the number of deployment servers in the production environment to be evaluated) ), RT_P (CPU occupancy limit of the production environment to be evaluated), and Rd (percentage of CPU work loss in the production environment to be evaluated), according to the resource configuration parameters and the CP_PerC, calculate the per second of the production environment to be evaluated The steps for requesting numbers include:

According to the CP_PerC, CC_P, SN_P, RT_P, and Rd, the number of requests per second TPS_P of the production environment to be evaluated is calculated, where the calculation formula of TPS_P is:

TPS_P=CP_PerC*CC_P*SN_P*RT_P*(1-Rd).
The method for evaluating the performance of the production environment according to claim 1, wherein the passing of the performance test report simultaneously displays the relevant index parameters and the number of requests per second of the production environment to be evaluated, so as to guide the user to perform the production environment After the steps of performance evaluation, it also includes:

Receive a performance evaluation report generation instruction triggered by a user operation, and obtain a preset performance evaluation report template; and

Fill in the mapping table according to the preset, fill in the relevant index parameters, resource configuration parameters, and the number of requests per second of the production environment to be evaluated into the corresponding area of the preset performance evaluation report template, and generate the corresponding data for the production environment to be evaluated Performance evaluation report.
The method for evaluating the performance of the production environment according to claim 1, wherein the passing of the performance test report simultaneously displays the relevant index parameters and the number of requests per second of the production environment to be evaluated, so as to guide the user to perform the production environment After the steps of performance evaluation, it also includes:

The resource evaluation instruction is received, and the request per second threshold TPS_Y in the resource evaluation instruction is acquired;

Calculate the server quantity threshold SN_Y according to the TPS_Y, CP_PerC, CC_P and SN_P;

According to the SN_P and the SN_Y, determine whether it is necessary to expand or reduce the capacity of the production environment to be evaluated; and

If the production environment to be evaluated needs to be expanded, the number of servers to be expanded is determined according to the difference between the SN_P and SN_Y.
The method for evaluating the performance of the production environment according to claim 5, wherein the calculation formula of SN_Y is:

SN_Y=TPS_Y/CP_PerC/CC_P-SN_P.
The method for evaluating the performance of the production environment according to claim 5, wherein after the step of determining whether the production environment to be evaluated needs to be expanded according to the SN_P and the SN_Y, the method further comprises:

If it is necessary to reduce the capacity of the production environment to be evaluated, the number of servers to be reduced is determined according to the difference between the SN_P and SN_Y.
The method for evaluating the performance of the production environment according to any one of claims 1-7, wherein the calculation of each of the production environment to be evaluated is performed according to the relevant index parameters, resource configuration parameters, and preset calculation rules. The steps for requests per second include:

Exporting the relevant index parameters and resource configuration parameters to a table application; and

In the table application, the relevant index parameters and resource configuration parameters are calculated according to the preset calculation rules to generate the number of requests per second of the production environment to be evaluated.
A performance evaluation device for a production environment, wherein the performance evaluation device for the production environment includes a memory, a processor, and a production environment performance evaluation program stored on the memory and running on the processor, and When the performance evaluation program of the production environment is executed by the processor, the following steps are implemented:

Receiving a system performance test request, acquiring relevant index parameters of the test environment to which the system belongs and resource configuration parameters of the production environment to be evaluated;

Calculate the number of requests per second of the production environment to be evaluated according to the relevant index parameters, resource configuration parameters and preset calculation rules; and

The performance test report simultaneously displays the related index parameters and the number of requests per second of the production environment to be evaluated, so as to guide the user to perform the performance evaluation of the production environment.
The performance evaluation device of the production environment according to claim 9, wherein the related index parameters include TPS_T (requests per second in the test environment), CC_T (total number of CPUs in the test environment), and RU_T (CPU usage percentage in the test environment) ), the following steps are implemented when the performance evaluation program of the production environment is executed by the processor:

According to the TPS_T, CC_T, and RU_T, the calculated value CP_PerC of each CPU is calculated, where the calculation formula of CP_PerC is:

CP_PerC=TPS_T/(CC_T*RU_T); and

According to the resource configuration parameters and the CP_PerC, the number of requests per second of the production environment to be evaluated is calculated.
The performance evaluation device for a production environment according to claim 10, wherein the resource configuration parameters include CC_P (the number of CPUs in each server in the production environment to be evaluated), SN_P (the number of deployed servers in the production environment to be evaluated ), RT_P (CPU occupancy limit of the production environment to be evaluated), and Rd (percentage of CPU work loss in the production environment to be evaluated), the performance evaluation program of the production environment is executed by the processor to implement the following steps:

According to the CP_PerC, CC_P, SN_P, RT_P, and Rd, the number of requests per second TPS_P of the production environment to be evaluated is calculated, where the calculation formula of TPS_P is:

TPS_P=CP_PerC*CC_P*SN_P*RT_P*(1-Rd).
9. The performance evaluation device of the production environment according to claim 9, wherein the following steps are implemented when the performance evaluation program of the production environment is executed by the processor:

Receive a performance evaluation report generation instruction triggered by a user operation, and obtain a preset performance evaluation report template; and

Fill in the mapping table according to the preset, fill in the relevant index parameters, resource configuration parameters, and the number of requests per second of the production environment to be evaluated into the corresponding area of the preset performance evaluation report template, and generate the corresponding data for the production environment to be evaluated Performance evaluation report.
9. The performance evaluation device of the production environment according to claim 9, wherein the following steps are implemented when the performance evaluation program of the production environment is executed by the processor:

The resource evaluation instruction is received, and the request per second threshold TPS_Y in the resource evaluation instruction is acquired;

Calculate the server quantity threshold SN_Y according to the TPS_Y, CP_PerC, CC_P and SN_P;

According to the SN_P and the SN_Y, determine whether it is necessary to expand or reduce the capacity of the production environment to be evaluated; and

If the production environment to be evaluated needs to be expanded, the number of servers to be expanded is determined according to the difference between the SN_P and SN_Y.
The performance evaluation device for a production environment according to claim 13, wherein the calculation formula of SN_Y is:

SN_Y=TPS_Y/CP_PerC/CC_P-SN_P.
The performance evaluation device of the production environment according to claim 13, wherein the following steps are implemented when the performance evaluation program of the production environment is executed by the processor:

If it is necessary to reduce the capacity of the production environment to be evaluated, the number of servers to be reduced is determined according to the difference between the SN_P and SN_Y.
15. The performance evaluation device for a production environment according to any one of claims 9-15, wherein the following steps are implemented when the performance evaluation program for the production environment is executed by the processor:

Exporting the relevant index parameters and resource configuration parameters to a table application; and

In the table application, the relevant index parameters and resource configuration parameters are calculated according to the preset calculation rules to generate the number of requests per second of the production environment to be evaluated.
A computer-readable storage medium, wherein a performance evaluation program of a production environment is stored on the computer-readable storage medium, and when the performance evaluation program of the production environment is executed by a processor, the implementation is as in any one of claims 1 to 8. The steps of the production environment performance evaluation method described in the item.