CN110633182A - System, method and apparatus for monitoring server stability - Google Patents
System, method and apparatus for monitoring server stability Download PDFInfo
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- CN110633182A CN110633182A CN201910614969.0A CN201910614969A CN110633182A CN 110633182 A CN110633182 A CN 110633182A CN 201910614969 A CN201910614969 A CN 201910614969A CN 110633182 A CN110633182 A CN 110633182A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/301—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is a virtual computing platform, e.g. logically partitioned systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
- G06F11/3068—Monitoring arrangements determined by the means or processing involved in reporting the monitored data where the reporting involves data format conversion
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
- G06F11/3072—Monitoring arrangements determined by the means or processing involved in reporting the monitored data where the reporting involves data filtering, e.g. pattern matching, time or event triggered, adaptive or policy-based reporting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45591—Monitoring or debugging support
Abstract
The embodiment of the disclosure discloses a system, a method and a device for monitoring server stability. One embodiment of the system comprises: the system comprises a monitoring module and a plurality of virtual machines, wherein the virtual machines corresponding to different areas, different operating systems and/or different networks exist in the virtual machines, and target programs used for sending specified requests to target servers for providing support for target applications are stored in the virtual machines; the virtual machines are configured to periodically run a target program to obtain a specified request, and send the specified request to a target server, so that the target server determines feedback information corresponding to the specified request; the monitoring module is configured to periodically acquire the feedback information, perform a detection step based on the acquired feedback information, and generate a detection result. According to the implementation method, the stability of the target server can be detected by acquiring more comprehensive and real data, and the stability of the target server is effectively monitored.
Description
Technical Field
Embodiments of the present disclosure relate to the field of computer technologies, and in particular, to a system, a method, and an apparatus for monitoring server stability.
Background
For any background server of the client application, when a large number of users access the background server through the terminal devices installed with the client application, the stability of the background server is generally affected to a certain extent, for example, the background server may have abnormal situations such as slow running speed, abnormal data return, downtime, and the like. By effectively monitoring the stability of the background server, the occurrence of abnormal conditions can be reduced, and related personnel can take corresponding measures in time to solve the abnormal conditions of the server.
Disclosure of Invention
Embodiments of the present disclosure provide systems, methods, and apparatuses for monitoring server stability.
In a first aspect, an embodiment of the present disclosure provides a system for monitoring server stability, the system including: the system comprises a monitoring module and a plurality of virtual machines, wherein the virtual machines corresponding to different areas, different operating systems and/or different networks exist in the plurality of virtual machines, and target programs used for sending specified requests to target servers for providing support for target applications are stored in the plurality of virtual machines; the plurality of virtual machines are configured to periodically run the target program to obtain a specified request, and send the obtained specified request to a target server, so that the target server determines feedback information corresponding to the received specified request; and the monitoring module is configured to periodically acquire the feedback information, execute the detection step based on the acquired feedback information and generate a detection result.
In some embodiments, the detecting step comprises at least one of: carrying out format verification on the obtained feedback information, and determining the accuracy of the obtained feedback information based on the result of the format verification; and analyzing the target value in the obtained feedback information, and determining the fluctuation size of the target value.
In some embodiments, the plurality of virtual machines are further configured to: filtering the obtained specified request by using a preset condition; and sending the filtered specified request to the target server.
In some embodiments, the monitoring module is further configured to: and sending the detection result to the terminal equipment used by the research and development personnel.
In some embodiments, the plurality of virtual machines are built on the monitoring module; and the monitoring module is further configured to: after the plurality of virtual machines run the target program to send the appointed request to the target server, receiving feedback information corresponding to the appointed request returned by the target server; and periodically acquiring feedback information corresponding to the specified request from the local.
In some embodiments, the plurality of virtual machines are further configured to: and after the target program is operated to send the specified request to the target server, receiving feedback information corresponding to the specified request returned by the target server.
In some embodiments, the system further comprises a database server configured to: receiving and storing feedback information sent by the plurality of virtual machines; and the monitoring module is further configured to: feedback information is periodically obtained from the database server.
In some embodiments, the monitoring module is further configured to: and running a preset script to execute the detection step based on the acquired feedback information to generate a detection result.
In a second aspect, an embodiment of the present disclosure provides a method for monitoring server stability, applied to a monitoring module, where the method includes: periodically acquiring feedback information corresponding to a designation request sent by a plurality of virtual machines to a target server providing support for a target application, wherein the plurality of virtual machines include virtual machines corresponding to different areas, different operating systems and/or different networks, and a target program for sending the designation request to the target server is stored in the plurality of virtual machines, the plurality of virtual machines are configured to periodically run the target program to obtain the designation request, and send the obtained designation request to the target server, so that the target server determines the feedback information corresponding to the received designation request; and executing a detection step based on the acquired feedback information to generate a detection result.
In some embodiments, the detecting step comprises at least one of: carrying out format verification on the obtained feedback information, and determining the accuracy of the obtained feedback information based on the result of the format verification; and analyzing the target value in the obtained feedback information, and determining the fluctuation size of the target value.
In some embodiments, after the target program is executed by the plurality of virtual machines to obtain the specified request, the obtained specified request is further filtered by using a preset condition, and the filtered specified request is sent to the target server.
In some embodiments, the above method further comprises: and sending the detection result to the terminal equipment used by the research and development personnel.
In some embodiments, the plurality of virtual machines are built on the monitoring module; and after the plurality of virtual machines run the target program to send a specified request to a target server, the method further comprises: receiving feedback information corresponding to the specified request returned by the target server; and periodically acquiring feedback information corresponding to a specified request sent by the plurality of virtual machines to a target server providing support for the target application, including: feedback information corresponding to the specified request is periodically acquired from the local.
In some embodiments, after the target program is run by the plurality of virtual machines to send the specified request to the target server, the plurality of virtual machines further receive feedback information corresponding to the specified request returned by the target server, and store the feedback information to the database server; and periodically acquiring feedback information corresponding to a specified request sent by the plurality of virtual machines to a target server providing support for the target application, including: feedback information is periodically obtained from the database server.
In some embodiments, the method further comprises: and running a preset script to execute the detection step based on the acquired feedback information to generate a detection result.
In a third aspect, an embodiment of the present disclosure provides an apparatus for monitoring server stability, which is applied to a monitoring module, and the apparatus includes: an acquisition unit configured to periodically acquire feedback information corresponding to a designation request transmitted by a plurality of virtual machines to a target server that provides support for a target application, wherein the plurality of virtual machines include virtual machines corresponding to different areas, different operating systems, and/or different networks, and a target program for transmitting the designation request to the target server is stored in the plurality of virtual machines, and the plurality of virtual machines are configured to periodically execute the target program to obtain the designation request and transmit the obtained designation request to the target server, so that the target server determines the feedback information corresponding to the received designation request; and the detection unit is configured to execute the detection step based on the acquired feedback information and generate a detection result.
In some embodiments, the detecting step comprises at least one of: carrying out format verification on the obtained feedback information, and determining the accuracy of the obtained feedback information based on the result of the format verification; and analyzing the target value in the obtained feedback information, and determining the fluctuation size of the target value.
In some embodiments, after the target program is executed by the plurality of virtual machines to obtain the specified request, the obtained specified request is further filtered by using a preset condition, and the filtered specified request is sent to the target server.
In some embodiments, the above apparatus further comprises: and the sending unit is configured to send the detection result to the terminal equipment used by the research and development personnel.
In some embodiments, the plurality of virtual machines are built on the monitoring module; and the above apparatus further comprises: a receiving unit configured to receive feedback information corresponding to a specified request returned by a target server after the target program is run by the plurality of virtual machines to send the specified request to the target server; and the obtaining unit is further configured to: feedback information corresponding to the specified request is periodically acquired from the local.
In some embodiments, after the target program is run by the plurality of virtual machines to send the specified request to the target server, the plurality of virtual machines further receive feedback information corresponding to the specified request returned by the target server, and store the feedback information to the database server; and the obtaining unit is further configured to: feedback information is periodically obtained from the database server.
In some embodiments, the detection unit is further configured to: and running a preset script to execute the detection step based on the acquired feedback information to generate a detection result.
In a fourth aspect, an embodiment of the present disclosure provides an electronic device, including: one or more processors; a storage device having one or more programs stored thereon; when executed by the one or more processors, cause the one or more processors to implement a method as described in any implementation of the second aspect.
In a fifth aspect, embodiments of the present disclosure provide a computer-readable medium on which a computer program is stored, which when executed by a processor, implements the method as described in any of the implementations of the second aspect.
The system, the method and the device for monitoring the stability of the server provided by the above embodiments of the present disclosure operate the target program periodically by the plurality of virtual machines including virtual machines corresponding to different areas, different operating systems and/or different networks to send the designation request to the target server providing support to the target application, so that the target server determines the feedback information corresponding to the designation request, where the target program is configured to send the designation request to the target server, so that the monitoring module periodically acquires the feedback information, and performs the detection step based on the acquired feedback information to generate the detection result. According to the scheme provided by the embodiment of the disclosure, through utilization of the plurality of virtual machines, various users can be simulated to send the appointed requests to the target server, so that more comprehensive and accurate data can be acquired to detect the stability of the target server, and effective monitoring on the stability of the target server is realized. For example, the target application may include a house source application, and a target server providing support for the house source application is a background server of the house source application.
Drawings
Other features, objects and advantages of the disclosure will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which some embodiments of the present disclosure may be applied;
FIG. 2 is a timing diagram of one embodiment of a system for monitoring server stability according to the present disclosure;
FIG. 3 is a timing diagram of yet another embodiment of a system for monitoring server stability according to the present disclosure;
FIG. 4 is a flow diagram of one embodiment of a method for monitoring server stability according to the present disclosure;
FIG. 5 is a schematic block diagram illustrating one embodiment of an apparatus for monitoring server stability according to the present disclosure;
FIG. 6 is a schematic block diagram of a computer system suitable for use with an electronic device to implement some embodiments of the present disclosure.
Detailed Description
The present disclosure is described in further detail below with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant disclosure and are not limiting of the disclosure. It should be noted that, for the convenience of description, only the parts relevant to the related disclosure are shown in the drawings.
It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 illustrates an exemplary system architecture 100 to which some embodiments of the method for monitoring server stability or the apparatus for monitoring server stability of the present disclosure may be applied.
As shown in FIG. 1, the system architecture 100 may include a monitoring server 101, virtual machines 102, 103, 104, and a target server 105. Therein, the monitoring server 101 may be communicatively connected to the virtual machines 102, 103, 104. The virtual machines 102, 103, 104 may be communicatively coupled to a target server. The communication connection may include, but is not limited to, a wired communication link, a wireless communication link, a fiber optic cable, or the like.
The virtual machines 102, 103, and 104 may be virtual machines built on the same server or virtual machine, or may be virtual machines built on different servers or virtual machines, and are not limited in this respect. In addition, the virtual machines 102, 103, and 104 may be built on the monitoring server 101.
In practice, the target server 105 may be a monitoring object. The virtual machines 102, 103, 104 may have stored thereon a target program for sending a specified request to the target server 105. Further, among the virtual machines 102, 103, and 104, there is a virtual machine that satisfies a set condition (for example, corresponding to a different operating system and/or a different network). The monitoring server 101 may monitor the stability of the target server 105.
It should be noted that the method for monitoring the stability of the server provided by some embodiments of the present disclosure is generally performed by the monitoring server 101, and accordingly, the apparatus for monitoring the stability of the server is generally disposed in the monitoring server 101.
It should be noted that the server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.
It should be understood that the number of virtual machines, monitoring servers, and target servers in FIG. 1 is merely illustrative. There may be any number of virtual machines, monitoring servers, and target servers, as desired for implementation.
With continued reference to FIG. 2, a timing diagram for one embodiment of a system for monitoring server stability according to the present disclosure is shown.
The system for monitoring the stability of the server in this embodiment may include: a monitoring module (for example, a monitoring server 101 shown in fig. 1) and a plurality of virtual machines (for example, virtual machines 102, 103, 104 shown in fig. 1), in which virtual machines corresponding to different areas, different operating systems, and/or different networks exist, and in which a target program for sending a designation request to a target server (for example, a target server 105 shown in fig. 1) that provides support for a target application is stored; the plurality of virtual machines are configured to periodically run a target program to obtain a specified request, and send the obtained specified request to a target server, so that the target server determines feedback information corresponding to the received specified request; and the monitoring module is configured to periodically acquire the feedback information, execute the detection step based on the acquired feedback information and generate a detection result.
As shown in fig. 2, in step 201, a plurality of virtual machines periodically run a target program to obtain a specification request, and send the obtained specification request to a target server, so that the target server determines feedback information corresponding to the received specification request.
In this embodiment, the plurality of virtual machines may periodically run the target program to obtain the designation request. Here, the plurality of virtual machines may run the target program once per hour, for example. The target application may include, but is not limited to, a house source application, a social application, a search-like application, and the like. When a time for triggering the virtual machine to execute the target program comes, each of the plurality of virtual machines may execute the target program to obtain a specified request.
Taking the house source application as an example, the specification request may include, for example, a request for querying the house source set number of house sources in the specified area.
It should be noted that, among the target programs stored in the plurality of virtual machines, programs corresponding to target applications of different versions may exist. In this way, the user can be simulated to send the specified request to the target server by using the target applications of different versions, so as to obtain more comprehensive and real feedback information corresponding to the specified request.
It should be noted that, the area in the present disclosure may refer to a geographic area, and the geographic area may be, for example, an area divided by a city or the like, and is not specifically limited herein. The operating system may include, but is not limited to, an IOS operating system, an android operating system, and the like. The network accessed by the virtual machine may include, but is not limited to, a Wireless Local Area Network (WLAN), a mobile network provided by an operator, and the like. In addition, different versions of a target application generally refer to different versions of the target application that correspond to the same operating system. Taking an android operating system as an example, a target application installed on a terminal device loaded with the android operating system may have multiple versions as functions are improved.
Here, the above virtual machines will be described by taking a house source application as an example. The plurality of virtual machines may include, for example, virtual machines M1 and M2 corresponding to zone a and virtual machines M3 and M4 corresponding to zone B. The virtual machine M1 may be loaded with an android operating system, connect to a mobile network (e.g., a 4G network) provided by an operator, and store the target program of the room source application of the V1.0 version compatible with the android operating system. The virtual machine M2 may be loaded with an IOS operating system, connected to a wireless lan, and store the target program corresponding to the V2.0 version of the room source application compatible with the IOS operating system. The virtual machine M3 may be loaded with an android operating system, connected to a wireless local area network, and store the above target program corresponding to the room source application of the V2.0 version compatible with the android operating system. The virtual machine M4 may be loaded with an IOS operating system, connect to a mobile network provided by an operator, and store the target program corresponding to the V1.0 version of the home application compatible with the IOS operating system.
In practice, the requests of the users may come from different geographic regions, operating systems, application versions, networks, or the like, so that the plurality of virtual machines respectively correspond to the characteristics of the different regions, operating systems, application versions, networks, or the like, and the requests of the users can be simulated from multiple dimensions of the geographic regions, operating systems, application versions, networks, and the like in consideration of multiple scenes where the requests occur, so that the obtained requests for monitoring the target server are more real, and the effectiveness of server monitoring is improved.
In some optional implementations of this embodiment, the plurality of virtual machines may be further configured to: filtering the obtained specified request by using a preset condition; and sending the filtered specified request to the target server.
Here, the preset condition may be various predetermined conditions. As an example, the target application is a house source application, and the specified request is used for requesting to query the number of house sources in the specified area, the preset condition may be that the specified area requested to be queried by the specified request is in the preset area. Here, the preset area may be an area previously designated by a technician, for example, beijing. Furthermore, if the obtained specified area requested to be inquired by the specified request is in Beijing, the preset condition is met; if the specified area requested to be queried by the obtained specified request is not in Beijing, the preset condition is not met, and at this time, the specified request which does not meet the preset condition (namely the specified request of which the specified area requested to be queried is not in Beijing) can be filtered out, so that the specified request which meets the preset condition is obtained and used as the filtered specified request.
As yet another example, the target application is a house source application specifying a request for requesting acquisition of house source information for a house source. The house source information includes area information for characterizing an area of a house corresponding to the house source. The preset condition may be that an area represented by area information in the room source information requested to be acquired by the request is greater than or equal to a preset area threshold. Here, the preset area threshold may be a minimum area value predetermined by a skilled person, for example, 60 square meters. Furthermore, if the area corresponding to the room source information requested to be acquired by the acquired specified request is greater than or equal to 60 square meters, the preset condition is met; if the area corresponding to the room source information requested to be acquired by the acquired designation request is smaller than 60 square meters, the preset condition is not satisfied, and at this time, the designation request which does not satisfy the preset condition (i.e., the designation request whose area corresponding to the room source information requested to be acquired is smaller than 60 square meters) can be filtered, so that the designation request which satisfies the preset condition is acquired as the filtered designation request.
In the implementation manner, the specified requests meeting the preset conditions can be sent to the target server in a targeted manner by filtering the specified requests, and compared with the case that all the specified requests are sent to the target server, the implementation manner can monitor the target server in a targeted manner, and is beneficial to saving resources consumed by server monitoring.
In this embodiment, the virtual machines may be built on the monitoring module. When the virtual machines are built on the monitoring module, the monitoring module and the target server can be in communication connection. After the plurality of virtual machines run the target program to send the designated request to the target server, the monitoring module may receive feedback information corresponding to the designated request returned by the target server.
In some optional implementation manners of this embodiment, the multiple virtual machines may also receive feedback information corresponding to the specified request, where the feedback information is returned by the target server. The plurality of virtual machines may send the received feedback information directly to the monitoring module, or may send the feedback information to a connected database server, so that the database server stores the feedback information.
In step 202, the monitoring module periodically obtains feedback information corresponding to the specified request.
In this embodiment, the monitoring module may periodically acquire the feedback information corresponding to the specified request, for example, once per day. Here, the feedback information acquired by the monitoring module may not include the feedback information that has been acquired before, or may include all or part of the feedback information that has been acquired before, which is not limited herein. It should be noted that, when the plurality of virtual machines directly send the feedback information corresponding to the specified request received from the target server to the monitoring module, or the monitoring module receives the feedback information corresponding to the specified request returned by the target server, the monitoring module may store the received feedback information in the specified storage location. The monitoring module may periodically retrieve corresponding feedback information from the storage location.
Alternatively, when the plurality of virtual machines transmit the feedback information corresponding to the designated request received from the target server to the database server, the monitoring module may periodically acquire the corresponding feedback information from the database server.
In step 203, the monitoring module executes a detection step based on the acquired feedback information to generate a detection result.
In this embodiment, the monitoring module may execute the detecting step based on the obtained feedback information, and generate a detection result.
In practice, the specified request may be associated with a specified field. For example, assuming that the specified request is a request for retrieving the number of house sources in the house source in the area a, the specified field associated with the specified request may be, for example, a number of house sources field. In addition, a plurality of pieces of feedback information in the feedback information acquired by the monitoring module may include a target numerical value corresponding to the designated field. After obtaining the feedback information, the monitoring module may perform a detection step including at least one of: carrying out format verification on the obtained feedback information, and determining the accuracy of the obtained feedback information based on the result of the format verification; and analyzing the target value in the obtained feedback information, and determining the fluctuation size of the target value. The monitoring module may then generate a detection result comprising a determination (e.g. a determined accuracy and/or a size of the fluctuation) of the performance of the detection step.
The designated field may correspond to a preset data format. After the monitoring module obtains the feedback information, it may first detect whether the format of the obtained feedback information is the preset data format. And then the monitoring module can count the number of the detected feedback information with the format of the preset data format. The monitoring module may then determine a ratio of the number to the number of acquired feedback information as a correctness of the acquired feedback information.
In addition, for each target value included in the obtained feedback information, the monitoring module may calculate a variance of each target value, and determine the variance as a fluctuation size of the target value. Wherein, the smaller the variance, the smaller the fluctuation of the representation; the larger the variance, the larger the fluctuation. When the fluctuation of the target value is small, the data quality of the target server can be represented to be high, and the stability of the target server can be further represented to be high.
In some optional implementation manners of this embodiment, the monitoring module may send the detection result to the terminal device used by the research and development personnel, so that the research and development personnel can know the stability of the target server in time, observe the interface quality and the data quality of the target server, and take a countermeasure in time when observing that the interface quality and/or the data quality of the target server are low. The interface quality of the target server can be observed through a correct rate index, and the data quality of the target server can be observed through a fluctuation size index.
In some optional implementations of this embodiment, the monitoring module may locally store a preset script. The script may be a script written based on the above detection steps. Thus, the monitoring module may execute the above detection steps based on the acquired feedback information by running the script, generating a detection result.
The system provided by the above embodiment of the present disclosure is configured to, by means of a plurality of virtual machines including virtual machines corresponding to different areas, different operating systems, and/or different networks, periodically run a target program to obtain a specific request, and send the obtained specific request to a target server providing support for a target application, enable the target server to determine feedback information corresponding to the received specific request, where the target program is configured to send the specific request to the target server, so that a monitoring module periodically obtains the feedback information, and perform a detection step based on the obtained feedback information to generate a detection result. According to the scheme provided by the embodiment of the disclosure, through utilization of the plurality of virtual machines, various users can be simulated to send the appointed requests to the target server, so that more comprehensive and accurate data can be acquired to detect the stability of the target server, and effective monitoring on the stability of the target server is realized.
With continued reference to FIG. 3, a timing diagram of yet another embodiment of a system for monitoring server stability according to the present disclosure is shown.
The system for monitoring the stability of the server in this embodiment may include: a monitoring module (for example, a monitoring server 101 shown in fig. 1), a database server, and a plurality of virtual machines (for example, virtual machines 102, 103, and 104 shown in fig. 1), wherein the plurality of virtual machines include virtual machines corresponding to different areas, different operating systems, and/or different networks, and a target program for sending a specific request to a target server (for example, a target server 105 shown in fig. 1) that provides support for a target application is stored in the plurality of virtual machines; the virtual machines are configured to periodically run a target program to obtain a specified request, send the obtained specified request to a target server and receive feedback information corresponding to the specified request returned by the target server; a database server configured to receive and store feedback information corresponding to the designated request sent by the plurality of virtual machines; a monitoring module configured to periodically obtain feedback information from a database server; carrying out format verification on the obtained feedback information, and determining the accuracy of the obtained feedback information based on the result of the format verification; analyzing a target value in the obtained feedback information, and determining the fluctuation size of the target value; generating a detection result including the determined accuracy and the fluctuation size.
As shown in fig. 3, in step 301, a plurality of virtual machines periodically run a target program to obtain a specification request, and send the obtained specification request to a target server, so that the target server determines feedback information corresponding to the received specification request.
In this embodiment, the plurality of virtual machines may periodically run the target program to obtain the designation request. Here, the plurality of virtual machines may run the target program once per hour, for example.
In step 302, the plurality of virtual machines receive feedback information corresponding to the specified request returned by the target server.
In this embodiment, the plurality of virtual machines may receive feedback information corresponding to the designation request returned by the target server. Then, the plurality of virtual machines may send the received feedback information to the database server.
In step 303, the database server receives and stores the feedback information corresponding to the designation request transmitted by the plurality of virtual machines.
In this embodiment, the database server may receive feedback information corresponding to the designation request sent by the plurality of virtual machines through a wired connection manner or a wireless connection manner, and store the received feedback information.
In step 304, the monitoring module periodically obtains feedback information corresponding to the specified request from the database server.
In this embodiment, the monitoring module may periodically obtain the feedback information corresponding to the specified request from the database server through a wired connection manner or a wireless connection manner, for example, the feedback information is obtained from the database server once a day.
It should be noted that the specified request may be associated with a specified field. A plurality of pieces of feedback information in the feedback information acquired by the monitoring module may include a target numerical value corresponding to the designated field.
In step 305, the monitoring module performs format check on the obtained feedback information, and determines the accuracy of the obtained feedback information based on the result of the format check.
In this embodiment, the monitoring module may perform format check on the obtained feedback information, and determine the accuracy of the obtained feedback information based on a result of the format check. Here, for the explanation of step 305, refer to the related explanation in the embodiment shown in fig. 2, and no further description is provided here.
In step 306, the monitoring module analyzes the target value in the obtained feedback information to determine the fluctuation of the target value.
In this embodiment, the monitoring module may analyze a target value in the obtained feedback information to determine a fluctuation size of the target value. Here, for the explanation of step 306, refer to the related explanation in the embodiment shown in fig. 2, and are not repeated here.
In step 307, the monitoring module generates a detection result including the determined accuracy and the fluctuation size.
In this embodiment, the monitoring module may generate a detection result including the determined accuracy and the fluctuation size.
In some optional implementation manners of this embodiment, the monitoring module may send the detection result to the terminal device used by the research and development personnel, so that the research and development personnel can know the stability of the target server in time, observe the interface quality and the data quality of the target server, and take a countermeasure in time when observing that the interface quality and/or the data quality of the target server are low.
As can be seen from fig. 3, compared with the embodiment corresponding to fig. 2, the system for monitoring server stability provided by this embodiment highlights a step in which, after sending the obtained specification request to the target server, the multiple virtual machines receive feedback information corresponding to the specification request returned by the target server, and send the feedback information to the database server; and a step in which the monitoring module periodically acquires feedback information corresponding to the specified request from the database server. Thus, the scheme described in the present embodiment can achieve diversity of information processing, and can obtain a detection result with higher accuracy.
With further reference to fig. 4, a flow 400 of one embodiment of a method for monitoring server stability according to the present disclosure is shown. The method for monitoring server stability may be applied to a monitoring module (e.g. the monitoring server 101 shown in fig. 1), and includes the following steps:
In this embodiment, the monitoring module may periodically obtain feedback information corresponding to a specified request sent by a plurality of virtual machines (e.g., virtual machines 102, 103, 104 shown in fig. 1) to a target server (e.g., target server 105 shown in fig. 1) that provides support for a target application, for example, once a day. The virtual machines corresponding to different areas, different operating systems and/or different networks exist in the plurality of virtual machines, and target programs for sending specified requests to a target server are stored in the plurality of virtual machines. In addition, the plurality of virtual machines are configured to periodically run the target program to obtain the designation request, and to transmit the obtained designation request to the target server, causing the target server to determine feedback information corresponding to the received designation request. Here, for the explanation of the plurality of virtual machines, refer to the related explanation in the embodiment shown in fig. 2, and are not described herein again.
In practice, when the plurality of virtual machines directly send the feedback information corresponding to the specified request received from the target server to the monitoring module, or the monitoring module receives the feedback information corresponding to the specified request returned by the target server, the monitoring module may store the received feedback information to a specified storage location. The monitoring module may periodically retrieve corresponding feedback information from the storage location.
In some optional implementations of this embodiment, after the plurality of virtual machines run the target program to obtain the specification request, the obtained specification request is further filtered by using a preset condition, and the filtered specification request is sent to the target server.
Here, the preset condition may be various predetermined conditions, and specifically refer to the description in the embodiment corresponding to fig. 2, which is not described herein again.
Alternatively, when the plurality of virtual machines transmit the feedback information corresponding to the designation request received from the target server to the database server, the server may periodically acquire the corresponding feedback information from the database server.
In this embodiment, the monitoring module may perform the detecting step based on the obtained feedback information, and generate the detection result.
In practice, the specified request may be associated with a specified field, and a plurality of pieces of feedback information in the feedback information acquired by the monitoring module may include a target value corresponding to the specified field. After obtaining the feedback information, the monitoring module may perform a detection step including at least one of: carrying out format verification on the obtained feedback information, and determining the accuracy of the obtained feedback information based on the result of the format verification; and analyzing the target value in the obtained feedback information, and determining the fluctuation size of the target value. The monitoring module may then generate a detection result comprising the determination of the performance of the detection step. For the explanation of the implementation, refer to the related explanations in the embodiments corresponding to fig. 2 and fig. 3, which are not repeated herein.
In some optional implementations of this embodiment, the monitoring module may locally store a preset script. The script may be a script written based on the above detection steps. Thus, the monitoring module may execute the above detection steps based on the acquired feedback information by running the script, generating a detection result.
In some optional implementation manners of this embodiment, the monitoring module may send the detection result to the terminal device used by the research and development personnel, so that the research and development personnel can know the stability of the target server in time, observe the interface quality and the data quality of the target server, and take a countermeasure in time when observing that the interface quality and/or the data quality of the target server are low.
The method provided by the above embodiment of the present disclosure is configured to cause a target server to determine feedback information corresponding to a received specification request by periodically acquiring feedback information corresponding to specification requests sent by a plurality of virtual machines to the target server providing support for a target application, wherein the plurality of virtual machines include virtual machines corresponding to different areas, different operating systems, and/or different networks, and a target program for sending the specification requests to the target server is stored in the plurality of virtual machines, and the plurality of virtual machines are configured to periodically run the target program to obtain the specification requests, and send the obtained specification requests to the target server, so as to execute a detection step based on the acquired feedback information to generate a detection result. According to the scheme provided by the embodiment of the disclosure, through utilization of the plurality of virtual machines, various users can be simulated to send the appointed requests to the target server, so that more comprehensive and accurate data can be acquired to detect the stability of the target server, and effective monitoring on the stability of the target server is realized.
With further reference to fig. 5, as an implementation of the methods shown in the above-mentioned figures, the present disclosure provides an embodiment of an apparatus for monitoring server stability, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 4, and the apparatus may be specifically applied to various electronic devices.
As shown in fig. 5, the apparatus 500 for monitoring server stability of the present embodiment may include: the obtaining unit 501 is configured to periodically obtain feedback information corresponding to a specification request sent by a plurality of virtual machines to a target server that provides support for a target application, where the plurality of virtual machines include virtual machines corresponding to different areas, different operating systems, and/or different networks, and a target program for sending the specification request to the target server is stored in the plurality of virtual machines, and the plurality of virtual machines are configured to periodically run the target program to obtain the specification request, and send the obtained specification request to the target server, so that the target server determines the feedback information corresponding to the received specification request; the detection unit 502 is configured to perform a detection step based on the acquired feedback information, generating a detection result.
In the present embodiment, in the apparatus 500 for monitoring server stability: the specific processing of the obtaining unit 501 and the detecting unit 502 and the technical effects thereof can refer to the related descriptions of step 401 and step 402 in the embodiment shown in fig. 4, which are not repeated herein.
In some optional implementations of this embodiment, the detecting step includes at least one of: carrying out format verification on the obtained feedback information, and determining the accuracy of the obtained feedback information based on the result of the format verification; and analyzing the target value in the obtained feedback information, and determining the fluctuation size of the target value.
In some optional implementations of this embodiment, after the plurality of virtual machines run the target program to obtain the specification request, the obtained specification request is further filtered by using a preset condition, and the filtered specification request is sent to the target server.
In some optional implementations of this embodiment, the apparatus 500 may further include: and a transmitting unit (not shown in the figure) configured to transmit the detection result to a terminal device used by the research and development personnel.
In some optional implementation manners of this embodiment, the plurality of virtual machines are built on the monitoring module; and the apparatus 500 may further include: a receiving unit (not shown in the figure) configured to receive feedback information corresponding to the designation request returned by the target server after the plurality of virtual machines run the target program to send the designation request to the target server; and the obtaining unit 501 may be further configured to: feedback information corresponding to the specified request is periodically acquired from the local.
In some optional implementation manners of this embodiment, after the plurality of virtual machines run the target program to send the designation request to the target server, the plurality of virtual machines further receive feedback information corresponding to the designation request, which is returned by the target server, and store the feedback information in the database server; and the obtaining unit 501 may be further configured to: feedback information is periodically obtained from the database server.
In some optional implementations of this embodiment, the detection unit 502 may be further configured to: and running a preset script to execute the detection step based on the acquired feedback information to generate a detection result.
The apparatus provided by the above-mentioned embodiment of the present disclosure is configured to cause a target server to determine feedback information corresponding to a received specification request by periodically acquiring feedback information corresponding to specification requests sent by a plurality of virtual machines to the target server that provides support for a target application, wherein the plurality of virtual machines include virtual machines corresponding to different areas, different operating systems, and/or different networks, and a target program for sending the specification requests to the target server is stored in the plurality of virtual machines, and the plurality of virtual machines are configured to periodically run the target program to obtain the specification requests, and send the obtained specification requests to the target server, so that the target server determines the feedback information corresponding to the received specification requests, so as to perform a detection step based on the acquired feedback information, and generate a detection result. According to the scheme provided by the embodiment of the disclosure, through utilization of the plurality of virtual machines, various users can be simulated to send the appointed requests to the target server, so that more comprehensive and accurate data can be acquired to detect the stability of the target server, and effective monitoring on the stability of the target server is realized.
Referring now to FIG. 6, a schematic diagram of an electronic device (e.g., the monitoring server 101 shown in FIG. 1)600 suitable for use in implementing embodiments of the present disclosure is shown. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 6, electronic device 600 may include a processing means (e.g., central processing unit, graphics processor, etc.) 601 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the electronic apparatus 600 are also stored. The processing device 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
Generally, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; a storage device 608 including, for example, a hard disk; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 illustrates an electronic device 600 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 6 may represent one device or may represent multiple devices as desired.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 609, or may be installed from the storage means 608, or may be installed from the ROM 602. The computer program, when executed by the processing device 601, performs the above-described functions defined in the methods of embodiments of the present disclosure.
It should be noted that the computer readable medium of the embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In embodiments of the present disclosure, however, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: periodically acquiring feedback information corresponding to a designated request sent by a plurality of virtual machines to a target server providing support for a target application, wherein the plurality of virtual machines are virtual machines corresponding to different areas, different operating systems and/or different networks, and target programs for sending the designated request to the target server are stored in the plurality of virtual machines, the plurality of virtual machines are configured to periodically run the target programs to obtain the designated request, and send the obtained designated request to the target server, so that the target server determines the feedback information corresponding to the received designated request; and executing a detection step based on the acquired feedback information to generate a detection result.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Here, the name of the unit does not constitute a limitation of the unit itself in some cases, and for example, the acquisition unit may also be described as "a unit that periodically acquires feedback information corresponding to a specification request sent by a plurality of virtual machines to a target server that provides support for a target application".
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Claims (18)
1. A system for monitoring server stability comprises a monitoring module and a plurality of virtual machines, wherein the virtual machines corresponding to different areas, different operating systems and/or different networks exist in the plurality of virtual machines, and target programs for sending specified requests to target servers for providing support for target applications are stored in the plurality of virtual machines;
the plurality of virtual machines are configured to periodically run the target program to obtain a specified request, and send the obtained specified request to the target server, so that the target server determines feedback information corresponding to the received specified request;
the monitoring module is configured to periodically acquire the feedback information, perform a detection step based on the acquired feedback information, and generate a detection result.
2. The system of claim 1, wherein the detecting step comprises at least one of: carrying out format verification on the obtained feedback information, and determining the accuracy of the obtained feedback information based on the result of the format verification; and analyzing the target value in the obtained feedback information, and determining the fluctuation size of the target value.
3. The system of claim 1, wherein the plurality of virtual machines are further configured to:
filtering the obtained specified request by using a preset condition;
and sending the filtered specified request to the target server.
4. The system of claim 1, wherein the monitoring module is further configured to:
and sending the detection result to the terminal equipment used by research personnel.
5. The system of claim 1, wherein the plurality of virtual machines are built on the monitoring module; and
the monitoring module is further configured to:
after the plurality of virtual machines run the target program to send the specified request to the target server, receiving feedback information corresponding to the specified request returned by the target server; and
the feedback information is periodically obtained locally.
6. The system of claim 1, wherein the plurality of virtual machines are further configured to:
after the target program is operated to send the specified request to the target server, feedback information corresponding to the specified request returned by the target server is received.
7. The system of claim 6, wherein the system further comprises a database server configured to:
receiving and storing the feedback information sent by the plurality of virtual machines; and
the monitoring module is further configured to:
periodically obtaining the feedback information from the database server.
8. The system of any of claims 1-7, wherein the monitoring module is further configured to:
and running a preset script to execute the detection step based on the obtained feedback information to generate the detection result.
9. A method for monitoring the stability of a server is applied to a monitoring module and comprises the following steps:
periodically acquiring feedback information corresponding to a designated request sent by a plurality of virtual machines to a target server providing support for a target application, wherein the plurality of virtual machines are virtual machines corresponding to different areas, different operating systems and/or different networks, and a target program used for sending the designated request to the target server is stored in the plurality of virtual machines, the plurality of virtual machines are configured to periodically run the target program to obtain the designated request, and send the obtained designated request to the target server, so that the target server determines the feedback information corresponding to the received designated request;
and executing a detection step based on the acquired feedback information to generate a detection result.
10. The method of claim 9, wherein the detecting step comprises at least one of: carrying out format verification on the obtained feedback information, and determining the accuracy of the obtained feedback information based on the result of the format verification; and analyzing the target value in the obtained feedback information, and determining the fluctuation size of the target value.
11. The method of claim 9, wherein the plurality of virtual machines, after running the target program to obtain the specific request, further filter the obtained specific request by using a preset condition, and send the filtered specific request to the target server.
12. The method of claim 9, wherein the method further comprises:
and sending the detection result to the terminal equipment used by research personnel.
13. The method of claim 9, wherein the plurality of virtual machines are built on the monitoring module; and
after the plurality of virtual machines run the target program to send the specified request to the target server, the method further comprises:
receiving feedback information corresponding to the specified request returned by the target server; and
the periodically acquiring feedback information corresponding to a specific request sent by a plurality of virtual machines to a target server providing support for a target application includes:
and periodically acquiring feedback information corresponding to the specified request from the local.
14. The method according to claim 9, wherein the plurality of virtual machines further receive feedback information corresponding to the specified request returned by the target server after running the target program to send the specified request to the target server, and store the feedback information to a database server; and
the periodically acquiring feedback information corresponding to a specific request sent by a plurality of virtual machines to a target server providing support for a target application includes:
periodically obtaining the feedback information from the database server.
15. The method according to one of claims 9-14, wherein the method further comprises:
and running a preset script to execute the detection step based on the obtained feedback information to generate the detection result.
16. An apparatus for monitoring stability of a server, applied to a monitoring module, comprises:
an acquisition unit configured to periodically acquire feedback information corresponding to a specification request sent by a plurality of virtual machines to a target server that provides support for a target application, wherein the plurality of virtual machines include virtual machines corresponding to different areas, different operating systems, and/or different networks, and a target program for sending the specification request to the target server is stored in the plurality of virtual machines, and the plurality of virtual machines are configured to periodically run the target program to obtain the specification request, and send the obtained specification request to the target server, so that the target server determines the feedback information corresponding to the received specification request;
a detection unit configured to perform a detection step based on the acquired feedback information, and generate a detection result.
17. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 9-15.
18. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 9-15.
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