CN113760629A - Method, device and equipment for monitoring running state of application system - Google Patents
Method, device and equipment for monitoring running state of application system Download PDFInfo
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- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
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Abstract
When the running state of the application system is monitored, a monitoring platform in the electronic equipment firstly acquires image information for indicating the running state of the application system, the image information is generated after the running state information of the application system is processed by imaging service, and after the image information is acquired, the image information obtained after the processing by the imaging service is analyzed by adopting a deep learning algorithm to obtain a prediction result of the running state of the application system, wherein the prediction result comprises normal running or abnormal running; and the prompt information is output according to the prediction result so as to carry out prediction prompt through the prompt information, thereby realizing early warning before the application system is abnormal.
Description
Technical Field
The embodiment of the application relates to the technical field of internet, in particular to a method, a device and equipment for monitoring the running state of an application system.
Background
In the existing monitoring system, before monitoring each application system, an electronic device, for example, a monitoring platform in a server, needs to implant a buried point code provided by the monitoring platform into a locally deployed code of the application system, capture abnormal information through the code and feed back the abnormal information to the monitoring platform, and the monitoring platform executes an alarm operation according to a preset alarm rule when an alarm condition is met.
Therefore, when the application system is monitored in a mode of capturing the abnormal information by the code, the abnormal information captured by the code is acquired after the application system is abnormal, so that the monitoring platform can only alarm after the application system is abnormal, and cannot early warn before the application system is abnormal.
Disclosure of Invention
The embodiment of the application provides a method, a device and equipment for monitoring the running state of an application system.
In a first aspect, an embodiment of the present application provides a method for monitoring an operating state of an application system, where the method is applied to an electronic device, and the method for monitoring an operating state of an application system may include:
acquiring image information corresponding to an application system, wherein the image information is used for indicating the running state of the application system; the image information is generated after the operation state information of the application system is processed by imaging service.
Analyzing the image information by adopting a deep learning algorithm to obtain a prediction result of the running state of the application system; the prediction result comprises normal operation or abnormal operation.
And outputting prompt information according to the prediction result.
In a possible implementation manner, the outputting prompt information according to the prediction result may include:
if the prediction result is abnormal operation, outputting first prompt information; the first prompt message is used for prompting that the running state of the application system is about to be abnormal.
If the prediction result is normal operation, outputting second prompt information; the second prompt message is used for prompting that the running state of the application system is normal.
In a possible implementation manner, the acquiring image information corresponding to the application system may include:
and acquiring the running state information corresponding to the application system through at least one of a client installed in the electronic equipment where the application system is located, a plug-in a browser page of the electronic equipment where the application system is located, or a page of the monitoring platform.
In a possible implementation manner, the installing a client in the electronic device where the application system is located, and the acquiring image information corresponding to the application system may include:
and receiving first image information corresponding to the application system sent by the client.
The first image information includes at least one of log information of the application system, memory information of an electronic device where the application system is located, a Central Processing Unit (CPU) utilization rate of the electronic device, or hardware information of the electronic device.
In a possible implementation manner, the installing a plug-in a browser page of the electronic device where the application system is located, and the obtaining image information corresponding to the application system may include:
receiving second image information corresponding to the browser page uploaded by the browser plug-in; the second image information is used for indicating the running state of the browser page.
And analyzing and determining third image information corresponding to the application system according to the second image information corresponding to the browser page.
The third image information comprises at least one of JS script information, HTTP response time length or HTTP request state information.
In a possible implementation manner, the acquiring image information corresponding to the application system includes:
receiving running state information of the application system uploaded on a page of the monitoring platform; the running state information includes at least one of log information of the application system, memory information of the electronic device where the application system is located, a Central Processing Unit (CPU) utilization rate of the electronic device, or hardware information of the electronic device.
And performing imaging service processing on the running state information to obtain first image information corresponding to the application system.
In a second aspect, an embodiment of the present application further provides a device for monitoring an operating state of an application system, where the device may include:
the acquisition module is used for acquiring image information corresponding to the application system, and the image information is used for indicating the running state of the application system; the image information is generated after the operation state information of the application system is processed by imaging service.
The processing module is used for analyzing the image information by adopting deep learning to obtain a prediction result of the running state of the application system; the prediction result comprises normal operation or abnormal operation.
And the output module is used for outputting prompt information according to the prediction result.
In a possible implementation manner, the output module is specifically configured to output a first prompt message if the prediction result is an abnormal operation; the first prompt message is used for prompting that the running state of the application system is about to be abnormal; if the prediction result is normal operation, outputting second prompt information; the second prompt message is used for prompting that the running state of the application system is normal.
In a possible implementation manner, the obtaining module is specifically configured to obtain the running state information corresponding to the application system through at least one of a client installed in the electronic device where the application system is located, a plug-in a browser page of the electronic device where the application system is located, or a page of the monitoring platform.
In a possible implementation manner, a client is installed in the electronic device where the application system is located; the obtaining module is specifically configured to receive first image information corresponding to the application system sent by the client.
The first image information includes at least one of log information of the application system, memory information of an electronic device where the application system is located, a Central Processing Unit (CPU) utilization rate of the electronic device, or hardware information of the electronic device.
In a possible implementation manner, a plug-in is installed in a browser page of the electronic device where the application system is located; the acquisition module is specifically used for receiving second image information corresponding to the browser page uploaded by the browser plug-in; the second image information is used for indicating the running state of the browser page.
And analyzing and determining third image information corresponding to the application system according to the second image information corresponding to the browser page.
The third image information comprises at least one of JS script information, HTTP response time length or HTTP request state information.
In a possible implementation manner, the obtaining module is specifically configured to receive running state information of the application system uploaded on a page of the monitoring platform; the running state information includes at least one of log information of the application system, memory information of the electronic device where the application system is located, a Central Processing Unit (CPU) utilization rate of the electronic device, or hardware information of the electronic device.
The processing module is further configured to perform imaging service processing on the running state information to obtain first image information corresponding to the application system.
In a third aspect, an embodiment of the present application further provides an electronic device, which may include a memory and a processor; wherein the content of the first and second substances,
the memory is used for storing the computer program.
The processor is configured to read the computer program stored in the memory, and execute the method for monitoring the running state of the application system according to the computer program in the memory in any one of the possible implementation manners of the first aspect.
In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, where a computer-executable instruction is stored in the computer-readable storage medium, and when a processor executes the computer-executable instruction, the method for monitoring the running state of the application system in any one of the foregoing possible implementation manners of the first aspect is implemented.
Therefore, according to the monitoring method, the monitoring device and the monitoring equipment for the running state of the application system provided by the embodiment of the application system, when the running state of the application system is monitored, the monitoring platform in the electronic equipment firstly acquires the image information for indicating the running state of the application system, the image information is generated after the running state information of the application system is processed by the imaging service, after the image information is acquired, the image information obtained after the processing by the imaging service is identified and analyzed by adopting the deep learning algorithm, so that the prediction result of the running state of the application system is obtained, and the prediction result comprises normal running or abnormal running; and the prompt information is output according to the prediction result so as to carry out prediction prompt through the prompt information, thereby realizing early warning before the application system is abnormal.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a schematic diagram of a possible application scenario provided in an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for monitoring an operating state of an application system according to an embodiment of the present application;
fig. 3 is a schematic diagram of an architecture for acquiring image information corresponding to an application system according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of an architecture for a client to obtain image information corresponding to another acquisition application system according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an application system running state analysis monitoring platform according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a monitoring apparatus for monitoring an operating state of an application system according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
In the embodiments of the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone, wherein A and B can be singular or plural. In the description of the text of the present application, the character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
Fig. 1 is a schematic diagram of a possible application scenario provided in an embodiment of the present application, for example, please refer to fig. 1, where when a monitoring platform in an electronic device, for example, a server, monitors an operating state of an application system, a buried point code provided by the monitoring platform is first embedded in a local deployment code of the application system, and abnormal information is captured by the code and fed back to the monitoring platform, and the monitoring platform executes an alarm operation when an alarm condition is met according to a preset alarm rule. However, since the abnormal information captured by the code is collected after the application system is abnormal, the monitoring platform can only alarm after the application system is abnormal, and cannot perform early warning before the application system is abnormal.
In order to realize early warning before an application system is abnormal when the running state of the application system is monitored, the embodiment of the application provides a monitoring method for the running state of the application system, when the running state of the application system is monitored, a monitoring platform in electronic equipment firstly acquires image information for indicating the running state of the application system, the image information is generated after the running state information of the application system is processed by imaging service, and after the image information is acquired, the image information obtained after the imaging service is analyzed by adopting a deep learning algorithm to obtain a prediction result of the running state of the application system, wherein the prediction result comprises normal running or abnormal running; and the prompt information is output according to the prediction result, so that prediction prompt is performed through the prompt information, and early warning is performed before the application system is abnormal.
The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 2 is a flowchart illustrating a method for monitoring an operating state of an application system according to an embodiment of the present disclosure, where the method for monitoring an operating state of an application system may be executed by software and/or a hardware device, for example, the hardware device may be a device for monitoring an operating state of an application system, and the device for monitoring an operating state of an application system may be disposed in an electronic device, which may be, for example, a server or a terminal. Referring to fig. 2, the method for monitoring the operating state of the application system may include:
s201, acquiring image information corresponding to the application system.
The image information is used for indicating the running state of the application system, and the image information is generated after the running state information of the application system is processed by the imaging service. In the embodiment of the present application, the image information is image information that conforms to an image specification defined by the monitoring platform.
It can be understood that the number of the image information for indicating the running state of the application system may be one, or may be multiple, and may be specifically set according to actual needs, where, as for the number of the image information, the embodiment of the present application is not particularly limited. Assuming that the running state information includes log information of the application system, memory information of the electronic device where the application system is located, CPU utilization of a central processing unit of the electronic device, and hardware information of the electronic device, the image information for indicating the running state information may be the same image information, and in this case, the number of the image information for indicating the running state of the application system, which is acquired by the monitoring platform in the electronic device, is one; of course, the image information used for indicating the operation state information may also be different image information, for example, four image information, log information of the application system, memory information of the electronic device where the application system is located, a CPU utilization rate of a central processing unit of the electronic device, and hardware information of the electronic device correspond to respective image information, in which case, the number of the image information acquired by the monitoring platform for indicating the operation state of the application system is four.
For example, when acquiring the image information corresponding to the application system, the image information corresponding to the application system may be acquired through a client installed in the electronic device where the application system is located, or the image information corresponding to the application system may be acquired through an electronic device where the application system is located, for example, a plug-in a browser page of the user equipment. In addition, since the monitoring platform also supports picture uploading analysis and EXCEL uploading, the monitoring platform may further receive running state information of the application system uploaded on a page of the monitoring platform by an operator, and acquire image information corresponding to the application system through the running state information, for example, please refer to fig. 3, where fig. 3 is a schematic diagram of an architecture for acquiring image information corresponding to the application system provided in the embodiment of the present application, and how to acquire running state information corresponding to the application system will be described in detail through the following three possible implementation manners, respectively.
In a possible implementation manner, a client may be installed in an electronic device where the application system is located, for example, a server, the client may be deployed in a server or a container of the application system together with a common service program such as tomcat, jdk, nginx, mysql, ftp, and the like, and the client may be made into a system image together with the common service program such as tomcat, jdk, nginx, mysql, ftp, and the like, and the system image may be deployed in the electronic device. The method comprises the steps that a client side collects running state information of an application system to be monitored, imaging service processing is carried out on the running state information, and first image information used for representing the running state of the application system is obtained; the monitoring platform can acquire first image information used for indicating the running state of the application system in a manner of configuring and setting long connection or short connection in advance and adopting an active grabbing or passive monitoring manner so as to receive the first image information sent by the application system and acquire the first image information corresponding to the application system. For example, the application system may pre-establish a TCP/IP connection with the monitoring platform, so that the application system may transmit the first image information indicating the operation state of the application system to the monitoring platform through the pre-established TCP/IP connection.
The first image information includes at least one of log information of an application system, memory information of an electronic device where the application system is located, a CPU utilization rate of a central processing unit of the electronic device, or hardware information of the electronic device, and of course, other information may also be included.
It can be seen that, in this possible implementation manner, the client is mainly responsible for data acquisition and imaging service processing, for example, please refer to fig. 4, fig. 4 is an architectural diagram for acquiring another image information corresponding to the application system by the client according to the embodiment of the present application, data acquired by the client is running state information of the application system, a data acquisition process is not aware of research and development, a research and development staff does not need to implant a code into a local code of the monitoring platform, and a data source width of the acquired data is increased. After the running state information of the application system is acquired, imaging service processing is carried out on the running state information, and therefore first image information corresponding to the application system is obtained.
Therefore, in the possible implementation manner, when the imaging service processing is performed on the acquired running state information, different from the prior art, the monitoring platform does not perform the imaging service processing on the running state information any more, but performs the imaging service processing on the running state information through the client, so as to obtain first image information corresponding to the application system; therefore, the load of the monitoring platform can be reduced, operators can conveniently check the first image information corresponding to the application system on the client, and a TCP/IP port can be provided, so that external enabling and access are facilitated. It can be understood that although the running state information is processed by the imaging service through the client, the monitoring platform may still be deployed with the imaging service, and certainly, the imaging service may not be deployed, and may be specifically set according to actual needs.
In another possible implementation manner, at an access end corresponding to an application system, for example, a browser page, running state information of the browser page is acquired through a browser plug-in, and the running state information of the browser page is subjected to imaging service processing to obtain second image information used for indicating the running state of the browser page, and the second image information used for indicating the running state of the browser page is sent to a monitoring platform, and the monitoring platform analyzes and determines third image information corresponding to the application system according to the second image information, so that the third image information corresponding to the application system is acquired. For example, the browser plug-in may establish a TCP/IP connection with the monitoring platform in advance, so that the browser plug-in may send the second image information for indicating the running state of the browser page to the monitoring platform through a hypertext transfer protocol (HTTP) or the like.
The third image information includes at least one of JS script information, HTTP response time duration, or HTTP request state information, and certainly may include other information, but this embodiment of the present application is only described as an example that the third image information may include at least one of JS script information, HTTP response time duration, or HTTP request state information, and does not represent that the embodiment of the present application is limited thereto.
Therefore, in the possible implementation manner, when the imaging service processing is performed on the acquired running state information of the browser page, the imaging service processing is performed on the running state information of the browser page through the browser plug-in instead of performing the imaging service processing on the running state information of the browser page by the monitoring platform in the same way, which is different from the prior art; therefore, the load of the monitoring platform can be reduced, operators can conveniently check the second image information used for indicating the running state of the browser page in the browser plug-in, and a TCP/IP port can be provided, so that external enabling and access are facilitated. It can be understood that although the imaging service processing is performed on the running state information of the browser page through the browser plug-in, the imaging service may still be deployed in the monitoring platform, and certainly, the imaging service may not be deployed, and may be specifically set according to actual needs.
In addition, the monitoring platform also supports picture uploading analysis and EXCEL uploading, so the monitoring platform can also obtain image information corresponding to the application system based on the running state information of the application system uploaded on the page of the monitoring platform by the operator, and refer to the following possible implementation manner.
In another possible implementation manner, an operator can upload the running state information of the application system on a page of the monitoring platform, so that the monitoring platform finishes collecting the running state information, the data collection process is not sensitive to research and development, research personnel do not need to implant codes into local codes of the monitoring platform, and the data source width of collected data is increased; after acquiring the running state information of the application system uploaded on the page of the monitoring platform by an operator, carrying out imaging service processing on the running state information so as to acquire first image information corresponding to the application system.
It is to be understood that, in this possible implementation manner, the first image information may also include at least one of log information of an application system, memory information of an electronic device where the application system is located, CPU utilization of the electronic device, or hardware information of the electronic device, and of course, other information may also be included.
Therefore, different from the two possible implementation manners, in the possible implementation manner, the imaging service needs to be deployed in the monitoring platform, so that after the monitoring platform receives the running state information of the application system uploaded on the page of the monitoring platform by the operator, the running state information is subjected to imaging service processing, and thus the first image information corresponding to the application system is obtained.
It should be understood that, when acquiring image information corresponding to an application system, the embodiment of the present application is only described by taking the above three possible implementation manners as examples, but does not represent that the embodiment of the present application is only limited thereto.
After acquiring the image information corresponding to the application system, the monitoring platform may store various types of image information in a classified manner, and perform the following S202:
s202, analyzing the image information by adopting a deep learning algorithm to obtain a prediction result of the running state of the application system.
The prediction result comprises normal operation or abnormal operation.
After the monitoring platform obtains the image information corresponding to the application system through any one of the three possible implementation manners, a deep learning algorithm may be used to perform image recognition analysis on the image information corresponding to the application system, for example, please refer to fig. 5, where fig. 5 is an architectural diagram of the monitoring platform for analyzing the operation state of the application system provided in the embodiment of the present application, and after the image information corresponding to the application system is subjected to image recognition analysis, a prediction result of the operation state of the application system may be obtained, and the prediction result may be that the application system operates normally or that the application system operates abnormally.
For example, when the monitoring platform analyzes the image information by using a deep learning algorithm, since the image information conforms to the image interface specification of the monitoring platform, such as standard word operation, standard image graph and color difference specification, and standard format size, if a single or multiple indexes reach an alarm threshold, the monitoring platform directly alarms and returns, otherwise, the monitoring platform performs an early warning operation: the method comprises the steps of adopting a convolutional neural network model, extracting a monitoring standard time length from image information with relatively high classification identification degrees to form a single or a plurality of index curves, analyzing the performance curve of the single index through a linear regression algorithm, predicting the running state of an application system in a time period, and combining preset established rules, for example, judging whether a color difference table of the image information reaches an early warning color difference value, if the color difference value does not reach the early warning color difference value, considering that the prediction result is normal to run, and if the color difference value reaches the early warning color difference value, considering that the prediction result is abnormal to run, and performing early warning.
After obtaining the prediction result of the operation state of the application system, the following S203 may be executed, in which prompt information is output according to the prediction result:
and S203, outputting prompt information according to the prediction result.
Illustratively, when the prompt information is output according to the prediction result, if the prediction result is abnormal in operation, the first prompt information is output; the first prompt information is used for prompting that the running state of the application system is about to be abnormal, so that an operator can find potential dangers of the application system in time and execute corresponding repair operation in advance before the application system is abnormal. If the prediction result is that the operation is normal, outputting second prompt information; the second prompt information is used for prompting that the running state of the application system is normal, so that an operator can timely know the running state of the application system.
For example, when the operating state of the application system is prompted by the prompt information, the prompt information may be output in a clattering mode, the prompt information may be output in a mail mode, or the prompt information may be output in a short message mode, or of course, the prompt information may be output in a telephone mode, or of course, the prompt information may be output in other modes as long as the prompt purpose can be achieved.
Therefore, according to the monitoring method for the running state of the application system provided by the embodiment of the application system, when the running state of the application system is monitored, a monitoring platform in the electronic device firstly acquires image information for indicating the running state of the application system, the image information is generated after the running state information of the application system is processed by imaging service, after the image information is acquired, the image information obtained after the processing by the imaging service is analyzed by adopting a deep learning algorithm, so that a prediction result of the running state of the application system is obtained, and the prediction result comprises normal running or abnormal running; and the prompt information is output according to the prediction result, so that prediction prompt is performed through the prompt information, and early warning is performed before the application system is abnormal.
Fig. 6 is a schematic structural diagram of a monitoring apparatus 60 for an application system running state provided in an embodiment of the present application, for example, please refer to fig. 6, where the monitoring apparatus 60 for an application system running state may include:
an obtaining module 601, configured to obtain image information corresponding to an application system, where the image information is used to indicate an operating state of the application system; the image information is generated after the running state information of the application system is processed by the imaging service.
The processing module 602 is configured to analyze the image information by using a deep learning algorithm to obtain a prediction result of an operation state of the application system; the prediction result comprises normal operation or abnormal operation.
And an output module 603, configured to output prompt information according to the prediction result.
Optionally, the output module 603 is specifically configured to output the first prompt information if the prediction result is that the operation is abnormal; the first prompt information is used for prompting that the running state of the application system is about to be abnormal; if the prediction result is that the operation is normal, outputting second prompt information; the second prompt message is used for prompting that the running state of the application system is normal.
Optionally, the obtaining module 601 is specifically configured to obtain the running state information corresponding to the application system through at least one of a client installed in the electronic device where the application system is located, a plug-in a browser page of the electronic device where the application system is located, or a page of the monitoring platform.
Optionally, the electronic device in which the application system is located has a client installed therein.
The obtaining module 601 is specifically configured to receive first image information corresponding to an application system sent by a client.
The first image information includes at least one of log information of an application system, memory information of an electronic device where the application system is located, a Central Processing Unit (CPU) utilization rate of the electronic device, or hardware information of the electronic device.
Optionally, a plug-in is installed in a browser page of the electronic device where the application system is located.
The obtaining module 601 is specifically configured to receive second image information corresponding to a browser page uploaded by a browser plug-in; the second image information is used for indicating the running state of the browser page;
analyzing and determining third image information corresponding to the application system according to the second image information corresponding to the browser page;
the third image information comprises at least one of JS script information, HTTP response time length or HTTP request state information.
Optionally, the obtaining module 601 is specifically configured to receive running state information of the application system uploaded on a page of the monitoring platform; the running state information includes at least one of log information of the application system, memory information of the electronic device where the application system is located, a Central Processing Unit (CPU) utilization rate of the electronic device, or hardware information of the electronic device.
The processing module 602 is further configured to perform imaging service processing on the running state information to obtain first image information corresponding to the application system.
The monitoring apparatus 60 for the application system running state provided in this embodiment of the present application can execute the technical solution of the monitoring method for the application system running state in any embodiment described above, and its implementation principle and beneficial effect are similar to those of the monitoring method for the application system running state, and reference may be made to the implementation principle and beneficial effect of the monitoring method for the application system running state, which are not described herein again.
Fig. 7 is a schematic structural diagram of an electronic device 70 according to an embodiment of the present invention, for example, please refer to fig. 7, where the electronic device 70 may include a processor 701 and a memory 702; wherein the content of the first and second substances,
a memory 702 for storing a computer program.
The processor 701 is configured to read the computer program stored in the memory 702, and execute the technical solution of the monitoring method for the application system running state in any of the embodiments according to the computer program in the memory 702.
Alternatively, the memory 702 may be separate or integrated with the processor 701. When the memory 702 is a separate device from the processor 701, the electronic device may further include: a bus for connecting the memory 702 and the processor 701.
Optionally, this embodiment further includes: a communication interface, which may be connected to the processor 701 via a bus. The processor 701 may control the communication interface to implement the receiving and transmitting functions of the electronic device described above.
The electronic device 70 shown in the embodiment of the present invention can execute the technical solution of the method for monitoring the operating state of the application system in any embodiment, and the implementation principle and the beneficial effect of the method are similar to those of the method for monitoring the operating state of the application system, and reference may be made to the implementation principle and the beneficial effect of the method for monitoring the operating state of the application system, which are not described herein again.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer execution instruction is stored in the computer-readable storage medium, and when a processor executes the computer execution instruction, the technical solution for implementing the monitoring method for the application system running state in any of the above embodiments is implemented, and an implementation principle and beneficial effects of the monitoring method for the application system running state are similar to those of the monitoring method for the application system running state, and reference may be made to the implementation principle and beneficial effects of the monitoring method for the application system running state, which are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts shown as units may or may not be physical units, may be located in one position, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment. In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention.
It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile storage NVM, such as at least one disk memory, and may also be a usb disk, a removable hard disk, a read-only memory, a magnetic or optical disk, etc.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present invention are not limited to only one bus or one type of bus.
The computer-readable storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (14)
1. A method for monitoring the running state of an application system is characterized by comprising the following steps:
acquiring image information corresponding to an application system, wherein the image information is used for indicating the running state of the application system; the image information is generated after the running state information of the application system is processed by imaging service;
analyzing the image information by adopting a deep learning algorithm to obtain a prediction result of the running state of the application system; the prediction result comprises normal operation or abnormal operation;
and outputting prompt information according to the prediction result.
2. The method of claim 1, wherein outputting a prompt based on the prediction comprises:
if the prediction result is abnormal operation, outputting first prompt information; the first prompt message is used for prompting that the running state of the application system is about to be abnormal;
if the prediction result is normal operation, outputting second prompt information; the second prompt message is used for prompting that the running state of the application system is normal.
3. The method according to claim 1, wherein the acquiring image information corresponding to the application system includes:
and acquiring the running state information corresponding to the application system through at least one of a client installed in the electronic equipment where the application system is located, a plug-in a browser page of the electronic equipment where the application system is located, or a page of the monitoring platform.
4. The method according to claim 3, wherein a client is installed in the electronic device where the application system is located, and the acquiring image information corresponding to the application system includes:
receiving first image information corresponding to the application system sent by the client;
the first image information includes at least one of log information of the application system, memory information of an electronic device where the application system is located, a Central Processing Unit (CPU) utilization rate of the electronic device, or hardware information of the electronic device.
5. The method according to claim 3, wherein a plug-in is installed in a browser page of the electronic device where the application system is located, and the acquiring image information corresponding to the application system includes:
receiving second image information corresponding to the browser page uploaded by the browser plug-in; the second image information is used for indicating the running state of the browser page;
analyzing and determining third image information corresponding to the application system according to the second image information corresponding to the browser page;
the third image information comprises at least one of JS script information, HTTP response time length or HTTP request state information.
6. The method according to claim 3, wherein the acquiring image information corresponding to the application system includes:
receiving running state information of the application system uploaded on a page of the monitoring platform; the running state information comprises at least one of log information of the application system, memory information of the electronic equipment where the application system is located, the utilization rate of a Central Processing Unit (CPU) of the electronic equipment, or hardware information of the electronic equipment;
and performing imaging service processing on the running state information to obtain first image information corresponding to the application system.
7. A monitoring device for application system running state is characterized by comprising:
the acquisition module is used for acquiring image information corresponding to the application system, and the image information is used for indicating the running state of the application system; the image information is generated after the running state information of the application system is processed by imaging service;
the processing module is used for analyzing the image information by adopting deep learning to obtain a prediction result of the running state of the application system; the prediction result comprises normal operation or abnormal operation;
and the output module is used for outputting prompt information according to the prediction result.
8. The apparatus of claim 7,
the output module is specifically used for outputting first prompt information if the prediction result is abnormal operation; the first prompt message is used for prompting that the running state of the application system is about to be abnormal; if the prediction result is normal operation, outputting second prompt information; the second prompt message is used for prompting that the running state of the application system is normal.
9. The apparatus of claim 7,
the obtaining module is specifically configured to obtain the running state information corresponding to the application system through at least one of a client installed in the electronic device where the application system is located, a plug-in a browser page of the electronic device where the application system is located, or a page of the monitoring platform.
10. The apparatus according to claim 9, wherein the electronic device in which the application system is located has a client installed therein;
the acquisition module is specifically configured to receive first image information corresponding to the application system sent by the client;
the first image information includes at least one of log information of the application system, memory information of an electronic device where the application system is located, a Central Processing Unit (CPU) utilization rate of the electronic device, or hardware information of the electronic device.
11. The apparatus according to claim 9, wherein a plug-in is installed in a browser page of an electronic device where the application system is located;
the acquisition module is specifically used for receiving second image information corresponding to the browser page uploaded by the browser plug-in; the second image information is used for indicating the running state of the browser page;
analyzing and determining third image information corresponding to the application system according to the second image information corresponding to the browser page;
the third image information comprises at least one of JS script information, HTTP response time length or HTTP request state information.
12. The apparatus of claim 9,
the acquisition module is specifically configured to receive running state information of the application system uploaded on a page of the monitoring platform; the running state information comprises at least one of log information of the application system, memory information of the electronic equipment where the application system is located, the utilization rate of a Central Processing Unit (CPU) of the electronic equipment, or hardware information of the electronic equipment;
the processing module is further configured to perform imaging service processing on the running state information to obtain first image information corresponding to the application system.
13. An electronic device comprising a memory and a processor; wherein the content of the first and second substances,
the memory for storing a computer program;
the processor is configured to read the computer program stored in the memory, and execute the method for monitoring the operating status of the application system according to any one of claims 1 to 6 according to the computer program in the memory.
14. A computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, the method for monitoring the running state of the application system according to any one of claims 1 to 6 is implemented.
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