CN114880245A - Fault diagnosis device and system - Google Patents

Fault diagnosis device and system Download PDF

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Publication number
CN114880245A
CN114880245A CN202210687960.4A CN202210687960A CN114880245A CN 114880245 A CN114880245 A CN 114880245A CN 202210687960 A CN202210687960 A CN 202210687960A CN 114880245 A CN114880245 A CN 114880245A
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diagnosis
strategy
module
information
unit
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王树忠
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Ping An Bank Co Ltd
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Ping An Bank Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/36—Preventing errors by testing or debugging software
    • G06F11/362—Software debugging
    • G06F11/366—Software debugging using diagnostics
    • 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
    • G06F11/302—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Quality & Reliability (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Computer Hardware Design (AREA)
  • Debugging And Monitoring (AREA)

Abstract

The embodiment of the application provides a fault diagnosis device and system, and relates to the technical field of application diagnosis. The fault diagnosis device comprises a management background module, a bootstrap module and an agent module; the management background module is used for acquiring diagnosis strategy information and strategy arrangement flow information corresponding to the diagnosis strategy information; the bootstrap module is used for updating the agent module according to the diagnosis strategy information and the strategy arrangement flow information and establishing a communication pipeline between the agent module and the application process to be diagnosed; the agent module is used for diagnosing the application process to be diagnosed according to the diagnosis strategy information and the strategy arranging flow information, generating a diagnosis result of the application process to be diagnosed, and feeding the diagnosis result back to the management background module. The fault diagnosis device can realize automatic diagnosis and improve the technical effect of fault diagnosis efficiency.

Description

Fault diagnosis device and system
Technical Field
The application relates to the technical field of application diagnosis, in particular to a fault diagnosis device and system.
Background
At present, Java is an object-oriented programming language, not only absorbs various advantages of C + + language, but also abandons concepts such as multiple inheritance, pointers and the like which are difficult to understand in C + +, so that the Java language has two characteristics of strong function and simplicity and easiness in use. The Java language, as a representative of the static object-oriented programming language, excellently implements an object-oriented theory, allows programmers to perform complex programming in an elegant thinking manner, has wide application in background service development, and has been a content of concern in the industry.
In the prior art, although the problems of the Java application can be found, the diagnosis tool, the monitoring system, and the like are far away from the root of the problems, generally need to be manually checked, and the troubleshooting personnel may need service development, operation and maintenance, and various middleware responsible persons to participate. In addition, under the condition that more and more systems and more complex interaction between the systems exist, monitoring data abnormity (such as timeout and the like) is only exposed in many cases, although the monitoring data abnormity can be displayed in time, the reason of timeout is due to downstream or self application, and machines or networks, which need manual participation.
Disclosure of Invention
An object of the embodiments of the present application is to provide a fault diagnosis device and system, which can implement automatic diagnosis and improve the technical effect of fault diagnosis efficiency.
In a first aspect, an embodiment of the present application provides a fault diagnosis apparatus, where the fault diagnosis apparatus includes a management background module, a bootstrap module, and an agent module;
the management background module is used for acquiring diagnosis strategy information and strategy arrangement flow information corresponding to the diagnosis strategy information;
the bootstrap module is used for updating the agent module according to the diagnosis strategy information and the strategy arrangement flow information and establishing a communication pipeline between the agent module and the application process to be diagnosed;
the agent module is used for diagnosing the application process to be diagnosed according to the diagnosis strategy information and the strategy arranging flow information, generating a diagnosis result of the application process to be diagnosed, and feeding the diagnosis result back to the management background module.
In the implementation process, the fault diagnosis device can acquire diagnosis strategy information and strategy arrangement flow information corresponding to the diagnosis strategy information through the management background module, wherein the diagnosis strategy information is various diagnosis strategies, such as faults caused by high system load, problems caused by long GC duration and the like, and the strategy arrangement flow information is arranged on the various diagnosis strategies to form a fixed diagnosis flow; the bootstrap module is responsible for updating the diagnosis strategy information and the strategy arrangement flow information of the agent module and establishing a communication pipeline between the agent module and the application process to be diagnosed; monitoring and diagnosing the application process to be diagnosed through the agent module, and feeding back a diagnosis result to the management background module to complete the whole process of automatic diagnosis; therefore, the fault diagnosis device can realize automatic diagnosis and improve the technical effect of fault diagnosis efficiency.
Further, the management background module comprises a diagnosis strategy unit and a strategy arranging unit;
the diagnosis strategy unit is used for acquiring the diagnosis strategy information, and the diagnosis strategy information comprises one or more of load fault information and GC fault information;
the diagnosis strategy unit is used for acquiring the strategy arranging flow information and corresponding the strategy arranging flow information to the diagnosis strategy information.
In the implementation process, diagnosis strategy information is obtained through a diagnosis strategy unit, and the diagnosis strategy information can be various diagnosis strategies made by troubleshooting personnel; the diagnosis strategy unit obtains strategy arrangement flow information, which can be flow information arranged by the troubleshooting personnel aiming at various diagnosis strategies, and the strategy arrangement flow information and the diagnosis strategy information are corresponded in the diagnosis strategy unit.
Further, the management background module further comprises a knowledge base engine unit, wherein the knowledge base engine unit is used for acquiring the diagnosis result fed back by the agent module, matching the diagnosis result with a preset knowledge database, and acquiring the troubleshooting information corresponding to the diagnosis result.
In the implementation process, the diagnosis result fed back by the agent module is intelligently matched with the preset knowledge database through the knowledge base engine unit, and the troubleshooting information corresponding to the diagnosis result is obtained, so that specific troubleshooting measures are indicated for the diagnosis result, and finally, full-process automatic diagnosis of the application fault is completed.
Furthermore, the management background module further comprises a diagnosis starting unit, and the diagnosis starting unit is used for starting a diagnosis process of the application process to be diagnosed.
In the implementation process, one-key troubleshooting is realized through the diagnosis starting unit.
Further, the agent module includes a monitoring engine unit, and the monitoring engine unit is configured to obtain one or more of application data, system data, and network data of the application process to be diagnosed.
In the implementation process, various data of the application process to be diagnosed, such as application data, system data, network data, and the like, are monitored through the monitoring engine unit.
Further, the agent module further includes a diagnosis engine unit, and the diagnosis engine unit is configured to diagnose one or more of the application data, the system data, and the network data according to the diagnosis policy information and the policy orchestration flow information, and generate the diagnosis result.
In the implementation process, the automatic diagnosis of the application process to be diagnosed is carried out through the diagnosis engine unit.
Further, the agent module further comprises a communication unit, and the agent module is in communication connection with the bootstrap module through the communication unit.
In the implementation process, the agent module communicates with other modules through the communication unit.
Further, the bootstrap module and the agent module run on a target machine to which the application process to be diagnosed belongs.
In the implementation process, the application process to be diagnosed runs on the target machine, the bootstrap module and the proxy module run on the target machine to which the application process to be diagnosed belongs, and the management background module directly monitors the application process to be diagnosed.
Further, the management background module is in communication connection with the bootstrap module through one or more networks of GPRS, 3G, 4G, and 5G, WIFI.
In a second aspect, an embodiment of the present application provides a fault diagnosis system, including the fault diagnosis device according to any one of the first aspect.
Additional features and advantages of the disclosure will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the above-described techniques.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of a fault diagnosis device according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a management backend module according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an agent module according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of another fault diagnosis device provided in the embodiment of the present application.
Icon: a management background module 100; a diagnostic policy unit 110; a policy orchestration unit 120; a knowledge base engine unit 130; a diagnostic startup unit 140; a bootstrap module 200; an agent module 300; a monitoring engine unit 310; a diagnostic engine unit 320; a communication unit 330.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
The embodiment of the application provides a fault diagnosis device and a fault diagnosis system, which can be applied to fault diagnosis of an application program, for example, in the fault diagnosis process of a Java application program; the fault diagnosis device can acquire diagnosis strategy information and strategy arrangement flow information corresponding to the diagnosis strategy information through a management background module, wherein the diagnosis strategy information is various diagnosis strategies, such as faults caused by high system load, problems caused by long GC duration and the like, and the strategy arrangement flow information is arranged on the various diagnosis strategies to form a fixed diagnosis flow; the bootstrap module is responsible for updating the diagnosis strategy information and the strategy arrangement flow information of the agent module and establishing a communication pipeline between the agent module and the application process to be diagnosed; monitoring and diagnosing the application process to be diagnosed through the agent module, and feeding back a diagnosis result to the management background module to complete the whole process of automatic diagnosis; therefore, the fault diagnosis device can realize automatic diagnosis and improve the technical effect of fault diagnosis efficiency.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a fault diagnosis device according to an embodiment of the present disclosure, where the fault diagnosis device and system includes a management background module 100, a bootstrap module 200, and an agent module 300.
Illustratively, the management background module 100 is configured to obtain diagnosis policy information and policy orchestration flow information corresponding to the diagnosis policy information.
Illustratively, the diagnostic policy information is obtained, that is, various diagnostic policies formulated by the troubleshooting personnel, such as a fault diagnostic policy that how much the system load is high is a fault, how long the GC is problematic, and the like, can be obtained through the management background module 100; meanwhile, various diagnosis strategies are arranged to generate corresponding strategy arrangement flow information.
Optionally, for the troubleshooting personnel, various diagnosis strategies can be formulated for the managed Java application program, diagnosis strategy information is formed and input to the fault diagnosis device through the management background module 100, and the automatic diagnosis of the Java application program by the fault diagnosis device is realized; meanwhile, the troubleshooting personnel can arrange various diagnosis strategies and form a fixed diagnosis flow (similar to a triage flow of a hospital).
Illustratively, the bootstrap module is configured to update the agent module according to the diagnosis policy information and the policy orchestration flow information, and establish a communication pipeline between the agent module and the application process to be diagnosed.
Illustratively, the agent module is configured to diagnose the application process to be diagnosed according to the diagnosis policy information and the policy orchestration flow information, generate a diagnosis result of the application process to be diagnosed, and feed back the diagnosis result to the management background module.
In some embodiments, the fault diagnosis device provided by the embodiment of the application can be used in the fault diagnosis process of java application programs; the fault diagnosis device can obtain diagnosis strategy information and strategy arrangement flow information corresponding to the diagnosis strategy information through the management background module 100, wherein the diagnosis strategy information is various diagnosis strategies, such as faults caused by high system load, problems caused by long GC time and the like, and the strategy arrangement flow information is arranged on the various diagnosis strategies to form a fixed diagnosis flow; the bootstrap module 200 is responsible for the agent module 300 to update the diagnosis strategy information and the strategy arrangement flow information, and establish a communication pipeline between the agent module 300 and the application process to be diagnosed; then, the agent module 300 monitors and diagnoses the application process to be diagnosed, and feeds back the diagnosis result to the management background module 100, so as to complete the whole process of automatic diagnosis; therefore, the fault diagnosis device can realize automatic diagnosis and improve the technical effect of fault diagnosis efficiency.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a management background module according to an embodiment of the present disclosure.
Illustratively, the management backend module 100 includes a diagnostic policy unit 110 and a policy orchestration unit 120; the diagnosis strategy unit 110 is configured to obtain diagnosis strategy information, where the diagnosis strategy information includes one or more of load fault information and GC fault information; the diagnosis policy unit 120 is configured to obtain policy arrangement flow information and correspond the policy arrangement flow information to diagnosis policy information.
Illustratively, the diagnosis policy information is acquired by the diagnosis policy unit 110, and the diagnosis policy information may be various diagnosis policies made by the troubleshooting personnel; the diagnosis policy unit 120 obtains policy arrangement flow information, which may be flow information arranged by a barrier removing person aiming at various diagnosis policies, and the diagnosis policy unit 120 completes the mutual correspondence between the policy arrangement flow information and the diagnosis policy information.
Illustratively, the management background module 100 further includes a knowledge base engine unit 130, and the knowledge base engine unit 130 is configured to obtain a diagnosis result fed back by the agent module 300, match the diagnosis result with a preset knowledge database, and obtain troubleshooting information corresponding to the diagnosis result.
Illustratively, the diagnosis result fed back by the agent module 300 is intelligently matched with a preset knowledge database through the knowledge base engine unit 130, and troubleshooting information corresponding to the diagnosis result is obtained, so as to indicate a specific troubleshooting measure to the diagnosis result, and finally complete the full-process automatic diagnosis of the application fault.
In some embodiments, the preset knowledge database stores troubleshooting measures corresponding to various diagnostic results; after the knowledge base engine unit 130 performs the search, the preset knowledge database feeds back the troubleshooting measures to the knowledge base engine unit 130 in the form of troubleshooting information.
Illustratively, the management background module 100 further includes a diagnosis starting unit 140, and the diagnosis starting unit 140 is configured to start a diagnosis flow of the application process to be diagnosed.
Illustratively, one-key troubleshooting is accomplished by the diagnostic initiation unit 140 and a specific troubleshooting scheme is presented by the knowledge base engine unit 130.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an agent module according to an embodiment of the present disclosure.
Illustratively, the agent module 300 includes a monitoring engine unit 310, and the monitoring engine unit 310 is configured to obtain one or more of application data, system data, and network data of the application process to be diagnosed.
Illustratively, various types of data of the application process to be diagnosed, such as application data, system data, network data, etc., are monitored by the monitoring engine unit 310.
Optionally, when the monitoring engine unit 310 monitors the application process to be diagnosed, specific data types and data amounts may be added or subtracted according to actual needs, which is not limited herein.
Illustratively, the agent module 300 further includes a diagnosis engine unit 320, and the diagnosis engine unit 320 is configured to diagnose one or more of the application data, the system data, and the network data according to the diagnosis policy information and the policy orchestration flow information, and generate a diagnosis result.
Illustratively, automated diagnosis of application processes to be diagnosed is performed by the diagnosis engine unit 320.
Illustratively, the agent module 300 further includes a communication unit 330, and the agent module 300 is communicatively connected to the bootstrap module 200 through the communication unit 330.
Illustratively, the communication unit 330 is responsible for communicating with other modules.
Optionally, the management backend module 300 obtains the diagnosis result through the communication unit 330.
Referring to fig. 4, fig. 4 is a schematic structural diagram of another fault diagnosis device according to an embodiment of the present disclosure.
Illustratively, the bootstrap module 200 and the agent module 300 run on the target machine to which the application process to be diagnosed belongs.
Illustratively, the application process to be diagnosed runs on the target machine, the bootstrap module 200 and the agent module 300 run on the target machine to which the application process to be diagnosed belongs, and the management background module 100 directly monitors the application process to be diagnosed.
Illustratively, management daemon module 100 is communicatively coupled to bootstrap module 200 via one or more of the GPRS, 3G, 4G, 5G, WIFI networks.
Illustratively, the embodiment of the application provides a fault diagnosis system, which comprises a fault diagnosis device as shown in fig. 1 to 4.
By way of example, the Java language has wide Application in background service development, and troubleshooting of online problems has been a matter of interest in the industry, such as artas diagnostic tools, Central Application Tracking (CAT) monitoring systems, and pinpoint tools developed according to google Dapper; although the product can find the application problem, the product is far away from the root of the problem, generally needs manual investigation, and the investigation personnel may need business development, operation and maintenance and various middleware responsible persons to participate.
For example, the arths diagnostic tool needs to check various states purposefully with specific commands, and besides needs to remember various checking instructions, the arths diagnostic tool also needs to guess various possibilities manually, needs rich experience of the inspectors, and is inefficient due to the various possibilities being tried manually; for example, a CAT monitoring system and a pinpoint tool can reflect application failure points to a certain extent, but in the case that the systems are more and the interaction between the systems is more and more complicated, in many cases, only monitoring data exception (such as timeout) is exposed, and although the monitoring data exception can be displayed in time, the reason of timeout is because of downstream, self application, machine or network, and these need to be manually participated. In addition, when various existing diagnostic tools are used for application diagnosis, the existing diagnostic tools are only limited to positioning problems, and the problem processing schemes are not closely combined; for a production system, problems are found, positioned and solved together, but the processing scheme is dispersed in various other data under the current situation, so that a trouble shooter needs to manually search, and the efficiency is low.
For example, with reference to fig. 1 to 4, the fault diagnosis device and system provided in the embodiments of the present application add a diagnosis policy management system, a diagnosis flow arrangement system, a diagnosis engine, and a knowledge base system instead of manual troubleshooting, so that one-key fault troubleshooting can be performed, and a specific fault handling scheme is provided.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. 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 that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

Claims (10)

1. The fault diagnosis device is characterized by comprising a management background module, a bootstrap module and an agent module;
the management background module is used for acquiring diagnosis strategy information and strategy arrangement flow information corresponding to the diagnosis strategy information;
the bootstrap module is used for updating the agent module according to the diagnosis strategy information and the strategy arrangement flow information and establishing a communication pipeline between the agent module and the application process to be diagnosed;
the agent module is used for diagnosing the application process to be diagnosed according to the diagnosis strategy information and the strategy arranging flow information, generating a diagnosis result of the application process to be diagnosed, and feeding the diagnosis result back to the management background module.
2. The fault diagnosis device according to claim 1, wherein the management background module comprises a diagnosis strategy unit and a strategy arranging unit;
the diagnosis strategy unit is used for acquiring the diagnosis strategy information, and the diagnosis strategy information comprises one or more of load fault information and GC fault information;
the diagnosis strategy unit is used for acquiring the strategy arranging flow information and corresponding the strategy arranging flow information to the diagnosis strategy information.
3. The fault diagnosis device according to claim 2, wherein the management background module further includes a knowledge base engine unit, and the knowledge base engine unit is configured to obtain the diagnosis result fed back by the agent module, match the diagnosis result with a preset knowledge database, and obtain the troubleshooting information corresponding to the diagnosis result.
4. The fault diagnosis device according to claim 3, wherein the management background module further comprises a diagnosis starting unit, and the diagnosis starting unit is configured to start a diagnosis process of the application process to be diagnosed.
5. The fault diagnosis device according to claim 1, wherein the agent module comprises a monitoring engine unit, and the monitoring engine unit is configured to obtain one or more of application data, system data, and network data of the application process to be diagnosed.
6. The apparatus according to claim 5, wherein the agent module further includes a diagnosis engine unit, and the diagnosis engine unit is configured to diagnose one or more of the application data, the system data, and the network data according to the diagnosis policy information and the policy orchestration flow information, and generate the diagnosis result.
7. The failure diagnosis device according to claim 6, wherein the agent module further comprises a communication unit, and the agent module is communicatively connected to the bootstrap module through the communication unit.
8. The failure diagnosis device according to any one of claims 1 to 7, wherein the bootstrap module and the agent module run on a target machine to which the application process to be diagnosed belongs.
9. The fault diagnosis device according to any one of claims 1 to 7, wherein the management background module is communicatively connected to the bootstrap module via one or more networks of GPRS, 3G, 4G, 5G, WIFI.
10. A failure diagnosis system characterized by comprising the failure diagnosis apparatus according to any one of claims 1 to 9.
CN202210687960.4A 2022-06-16 2022-06-16 Fault diagnosis device and system Pending CN114880245A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210687960.4A CN114880245A (en) 2022-06-16 2022-06-16 Fault diagnosis device and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210687960.4A CN114880245A (en) 2022-06-16 2022-06-16 Fault diagnosis device and system

Publications (1)

Publication Number Publication Date
CN114880245A true CN114880245A (en) 2022-08-09

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