CN112241355A - Link tracking method, system, computer readable storage medium and electronic device - Google Patents

Link tracking method, system, computer readable storage medium and electronic device Download PDF

Info

Publication number
CN112241355A
CN112241355A CN202011119826.1A CN202011119826A CN112241355A CN 112241355 A CN112241355 A CN 112241355A CN 202011119826 A CN202011119826 A CN 202011119826A CN 112241355 A CN112241355 A CN 112241355A
Authority
CN
China
Prior art keywords
data
link
tracking
index data
monitoring index
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202011119826.1A
Other languages
Chinese (zh)
Other versions
CN112241355B (en
Inventor
黄峰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Enyike Beijing Data Technology Co ltd
Original Assignee
Enyike Beijing Data Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Enyike Beijing Data Technology Co ltd filed Critical Enyike Beijing Data Technology Co ltd
Priority to CN202011119826.1A priority Critical patent/CN112241355B/en
Publication of CN112241355A publication Critical patent/CN112241355A/en
Application granted granted Critical
Publication of CN112241355B publication Critical patent/CN112241355B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/34Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3466Performance evaluation by tracing or monitoring
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3003Monitoring arrangements specially adapted to the computing system or computing system component being monitored

Landscapes

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

Abstract

The invention discloses a link tracking method, a system, a computer readable storage medium and electronic equipment, wherein the link tracking method is based on a self-defined monitoring service function of Prometheus, and comprises the following steps: step S1: for key service code embedded points, an application program establishes and reports link data through an API; step S2: directly pushing link data to a tracking collector through a tracking agent end; step S3: and the tracking collector processes the link data to obtain user-defined monitoring index data and sends the user-defined monitoring index data to the data receiving end and/or the storage end.

Description

Link tracking method, system, computer readable storage medium and electronic device
Technical Field
The present invention relates to a link tracking method, a link tracking system, a computer readable storage medium and an electronic device, and more particularly, to a method, a system, a computer readable storage medium and an electronic device for implementing link tracking based on a self-defined monitoring service function of Prometheus.
Background
In an actual production environment, when a request contains a plurality of service units, if the execution slow delay is too high, the call execution condition of each service unit is required to be checked, and it is difficult to locate which specific service point has a problem without obvious exception and error report, and then link tracking is required. The complete execution process of a request can be obtained through link tracking, and the UI diagram can show the calling relation and the execution information of each service unit.
In a traditional monitoring system, service data is monitored by embedding points in service codes, but only index data in a certain short time can be counted and aggregated, and complete link tracking of a single request cannot be realized.
The basic architecture of the existing link tracking system sends a request to a client, a collector or a server processes the request, a data store is used for data storage, and finally a simple UI is provided for query and display. The disadvantages of the prior art are as follows:
1. the link tracking system UI is simple, and some personalized analysis requirements cannot be met;
2. the independent tracking system and the monitoring system can increase the deployment and maintenance cost;
3. the link tracking function is separated from the system monitoring function, and the system needs to be frequently switched for the analysis and positioning problems of complex problems;
4. and the Prometheus monitors the service index through the embedded point, and realizes that the link tracking needs to be repeatedly embedded.
Therefore, for link tracking technologies and data monitoring technologies with similar functions, developers hope to concentrate on a set of systems as much as possible, make full use of the auxiliary function between a link tracking graph and a monitoring statistical graph, reduce the complex operation of switching between the systems, and achieve rapid analysis and positioning of problems through data display of a set of systems.
Disclosure of Invention
In view of the above problem, the present invention provides a link tracking method, wherein the link tracking method includes:
step S1: for key service code embedded points, an application program establishes and reports link data through an API;
step S2: directly pushing the link data to a tracking collector through a tracking agent end;
step S3: and the tracking collector processes the link data to obtain user-defined monitoring index data and sends the user-defined monitoring index data to a data receiving end and/or a storage end.
In the above link tracing method, in step S1, the tracing proxy receives the link data through UDP.
In the above link tracing method, the step S3 includes:
step S31: parsing, by the trace collector, the link data tag;
step S32: verifying, by the trace collector, the link data;
step S33: and packaging the link data which is verified into the custom monitoring index data through the tracking collector.
The above-mentioned link tracking method further comprises, among others,
step S4: and processing the user-defined monitoring index data.
The above link tracing method, wherein the step S4 includes:
step S41: receiving the self-defined monitoring index data through Pushgateway;
step S42: aggregating the user-defined monitoring index data through a counter to generate statistical index data;
step S43: and obtaining a display graph according to the user-defined monitoring index data through a graph editor.
The invention also provides a link tracking system, wherein, based on the self-defined monitoring service function of Prometheus, the link tracking system comprises:
the tracking client buries points of the key service codes, and the application program creates and reports link data through an API (application programming interface);
the tracking agent end receives and directly pushes the link data;
and the tracking collector is used for processing the link data to obtain user-defined monitoring index data and sending the user-defined monitoring index data to a data receiving end and/or a storage end.
The above link tracing system, wherein said trace collector parses link data tags; the trace collector verifies the link data; and the tracking collector packages the link data which is verified into the custom monitoring index data.
The link tracking system further comprises a data receiving terminal, wherein the data receiving terminal receives the custom monitoring index data through Pushgateway; and the data receiving end aggregates the user-defined monitoring index data through a counter to generate statistical index data, and the data receiving end obtains a display graph according to the user-defined monitoring index data through a graph editor.
The invention also provides a computer-readable storage medium, on which a computer program is stored, which program, when executed by a processor, is adapted to carry out a link tracing method as defined in any one of the preceding claims.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the link tracing method as described in any one of the above when executing the computer program.
In summary, compared with the prior art, the invention has the following effects:
1) the link tracking can be directly realized in the environment monitored by the conventional Prometous system, so that the development cost is reduced;
2) the system monitoring and the link tracking functions are realized in one set of system;
3) complex operations of switching back and forth among different systems are saved;
4) the method is convenient for developers to combine the tracking information and the monitoring information to quickly analyze and locate the problem in the unified monitoring graph;
5) the searching efficiency of problem finding and positioning is improved;
6) the deployment and operation and maintenance costs of a plurality of sets of systems are reduced.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a flow chart of a link tracking method of the present invention;
FIG. 2 is a flowchart of step S3 in FIG. 1;
FIG. 3 is a flowchart of step S4 in FIG. 1;
FIG. 4 is a schematic diagram of a link tracking system according to the present invention;
FIG. 5 is a schematic diagram of an application of the link tracking system of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The exemplary embodiments of the present invention and the description thereof are provided to explain the present invention and not to limit the present invention. Additionally, the same or similar numbered elements/components used in the drawings and the embodiments are used to represent the same or similar parts.
As used herein, the terms "first", "second", "S1", "S2", …, etc. do not particularly denote an order or sequential meaning, nor are they intended to limit the present invention, but merely distinguish between elements or operations described in the same technical terms.
With respect to directional terminology used herein, for example: up, down, left, right, front or rear, etc., are simply directions with reference to the drawings. Accordingly, the directional terminology used is intended to be illustrative and is not intended to be limiting of the present teachings.
As used herein, the terms "comprising," "including," "having," "containing," and the like are open-ended terms that mean including, but not limited to.
As used herein, "and/or" includes any and all combinations of the described items.
References to "plurality" herein include "two" and "more than two"; reference to "multiple sets" herein includes "two sets" and "more than two sets".
As used herein, the terms "substantially", "about" and the like are used to modify any slight variation in quantity or error that does not alter the nature of the variation. Generally, the range of slight variations or errors modified by such terms may be 20% in some embodiments, 10% in some embodiments, 5% in some embodiments, or other values. It should be understood by those skilled in the art that the aforementioned values can be adjusted according to actual needs, and are not limited thereto.
Certain words used to describe the present application are discussed below or elsewhere in this specification to provide additional guidance to those skilled in the art in describing the present application.
Prometheus is used as a monitoring system, the monitoring of specified service data is realized by embedding points in service codes, the statistics and the display of index data in a certain short time can be realized, and the tracking of a complete request link cannot be realized.
From the implementation process and the function, the link tracking and the self-defined monitoring of Prometheus have mutually overlapped parts, and the implementation principle of the link tracking and the self-defined monitoring of Prometheus has to go through three steps of code burial, data storage and query exposure. If the link tracking adding function can be added into Prometous, a developer can conveniently and quickly analyze and locate problems through a set of system, and the redundant work is effectively reduced.
Referring to fig. 1, fig. 1 is a flowchart illustrating a link tracking method according to the present invention. As shown in fig. 1, the link tracking method of the present invention is based on a self-defined monitoring service function of Prometheus, and includes:
step S1: for key service code embedding point, the application program creates and reports link data through API, concretely, at the tracking Client (tracking Client), the application program creates and reports link data through API, and sends tracking information to the tracking Agent (tracking Agent).
Step S2: directly pushing the link data to a tracking collector through a tracking agent end; in order to maintain the rapid transmission of data, the tracking agent end receives link (span) data sent from a tracking Client (tracking Client) in a UDP mode, allows the loss of a small amount of link (span) data, and does not affect the service and the tracking of the whole link.
Step S3: and the tracking Collector (tracking Collector) processes the link data to obtain custom monitoring index data, and sends the custom monitoring index data to a data receiving end and/or a storage end.
Step S4: and processing the user-defined monitoring index data.
Referring to fig. 2, fig. 2 is a flowchart of step S3 in fig. 1. As shown in fig. 2, the step S3 includes:
step S31: parsing, by the trace collector, the link data tag;
step S32: verifying, by the trace collector, the link data;
step S33: and packaging the link data which is verified into the custom monitoring index data through the tracking collector.
Referring to fig. 3, fig. 3 is a flowchart of step S4 in fig. 1. As shown in fig. 3, the step S4 includes:
step S41: receiving the self-defined monitoring index data through Pushgateway;
step S42: aggregating the user-defined monitoring index data through a counter to generate statistical index data;
step S43: and obtaining a display graph according to the user-defined monitoring index data through a graph editor.
Therefore, the method realizes link tracking based on the self-defined monitoring service function of Prometheus, does not need to bury points repeatedly, counts and counts multiple requests and simultaneously tracks links of single requests; meanwhile, the technical gap of link tracking and system monitoring is opened; and provides a unified graphical display of link tracking information and monitoring statistical indexes; and the system has richer graphic display and provides basis reference for technical personnel to analyze problems.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a link tracking system according to the present invention. As shown in fig. 4, the link tracking system of the present invention is based on the Prometheus custom monitoring service function, and includes:
a tracking Client (tracking Client)11, embedding points into key service codes, and creating and reporting link data by an application program through an API (application programming interface);
a tracking Agent (tracking Agent)12, which receives and directly pushes the link data;
a tracking Collector (tracking Collector)13, configured to process the link data to obtain custom monitoring index data, and send the custom monitoring index data to a data receiving end 14 and/or a storage end 15, where the tracking Collector 13 analyzes a link data tag; the trace collector verifies the link data; and the tracking collector packages the link data which is verified into the custom monitoring index data.
Specifically, the tracking Client (tracking Client) 11: the OpenTracing protocol is a lightweight standardization layer and is positioned between an application program and a tracking or log analysis program, so that the problem that APIs (application programming interfaces) of different distributed tracking systems are incompatible is solved;
tracking Agent 12: decoupling the tracking Client (tracking Client)11 and the tracking Collector (tracking Collector)13 by serving as an agent of the tracking Client (tracking Client)11, shielding connection details between the tracking Client (tracking Client)11 and the tracking Collector (tracking Collector)13, and directly pushing link data collected and reported from the tracking Client (tracking Client)11 to the tracking Collector (tracking Collector) 13;
tracking Collector (trapping Collector) 13: the system is responsible for receiving link data sent by a tracking Agent (tracking Agent)12, analyzing span tags, obtaining customized monitoring index data (metric) meeting the specification through processing such as checking, converting and packaging, and sending the customized monitoring index data (metric) to a specified data receiving end 14 in a push (push) mode or storing the customized monitoring index data (metric) in a specified storage end 15.
Further, the link tracking system further includes a data receiving end 14 and/or a storage end 15, where the data receiving end 14 receives the custom monitoring index data through Pushgateway, the data receiving end 14 aggregates the custom monitoring index data through a counter to generate statistical index data, and the data receiving end 14 obtains a display graph according to the custom monitoring index data through a graph editor; and the storage terminal 15 receives the custom monitoring index data for storage and backup.
Specifically, the data receiving end 14: docking Pushgateway, receiving custom monitoring index data (metric) sent by a tracking Collector (tracking Collector)13, and then waiting for a service monitoring system (proxy) to pull data; storage (Data Store) 15: the link data is stored and written into mainstream databases such as Elastic Search and the like in a supporting mode.
Referring to fig. 5, fig. 5 is a schematic diagram illustrating an application of the link tracking system of the present invention. The operation of the link tracking system of the present invention is described in detail below with reference to fig. 5, wherein in the present embodiment, the data sink 14 includes a service monitoring system (Prometheus)141 and a graph editor (grafana) 142. The concrete description is as follows:
the service monitoring system (Prometheus)141 adopts a new model, and the collection of time-series data is used as the core of the whole system, and no matter the alarm or the construction of a monitoring chart, the time-series data is manipulated to realize the monitoring. Prometheus identifies time series data by a combination of the name of the indicator and labels (key/value), each representing a dimension, which can be added or subtracted to control the selected time series data. Prometheus satisfies the monitoring requirements under the microservice architecture by means of a multidimensional data model and a powerful query language: the operation condition of the whole service can be known, and the operation condition of a certain component can be known by keeping enough granularity.
(1) Embedding a key service code in a tracking Client (tracking Client)11, creating and reporting link data by an application program through an API (application programming interface), and sending tracking information to a tracking Agent (tracking Agent) 12;
(2) the tracking Agent (tracking Agent)12 is a relay station where data is forwarded from the tracking Client (tracking Client)11 to the tracking Collector (tracking Collector) 13. In order to maintain the fast transmission of data, the link data sent from the tracking Client (tracking Client)11 is received in a UDP mode, so that a small amount of link data is allowed to be lost, and the service and the whole link tracking are not influenced;
(3) a tracking Collector (tracking Collector)13 checks and processes data, for example, whether a data format sent to a downstream Pushgateway is correct, whether a time range meets a specification, and the checked data is packaged into custom monitoring index data (metric) that the Pushgateway can recognize and receive, for example, link data is parsed to form link tracking custom monitoring index data (metric), and meanwhile, a counter used in a cache for a service monitoring system (Prometheus)141 is copied to aggregate to generate statistical index data, and the downstream can be stored in a designated backend or directly sent to the Pushgateway in a pushing manner;
(4) pushgateway allows any client to send a custom monitoring index to the client whose push meets the specification, and only needs to receive data, the service monitoring system (Prometheus)141 will periodically pull data at regular time;
(5) the graphic editor (grafana)142 queries Data from the service monitoring system (Prometheus)141 or the storage terminal (Data Store)15, and can draw a display graphic meeting personalized requirements through a custom dashboard.
In the present embodiment, the tracking Client (tracking Client)11 and the tracking Agent (tracking Agent)12 may be deployed in the Host (Host) or the Container (Container).
The invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements a link tracing method as described in any one of the above.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to the present invention. As shown in fig. 6, the electronic device of the present invention may include a processor 21 and a memory 22 storing computer program instructions.
Specifically, the processor 21 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
Memory 22 may include, among other things, mass storage for data or instructions. By way of example, and not limitation, memory 22 may include a Hard Disk Drive (Hard Disk Drive, abbreviated to HDD), a floppy Disk Drive, a Solid State Drive (SSD), flash memory, an optical Disk, a magneto-optical Disk, magnetic tape, or a Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 22 may include removable or non-removable (or fixed) media, where appropriate. The memory 22 may be internal or external to the data processing apparatus, where appropriate. In a particular embodiment, the memory 22 is a Non-Volatile (Non-Volatile) memory. In particular embodiments, Memory 22 includes Read-Only Memory (ROM) and Random Access Memory (RAM). The ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), Electrically rewritable ROM (EAROM), or FLASH Memory (FLASH), or a combination of two or more of these, where appropriate. The RAM may be a Static Random-Access Memory (SRAM) or a Dynamic Random-Access Memory (DRAM), where the DRAM may be a Fast Page Mode Dynamic Random-Access Memory (FPMDRAM), an Extended data output Dynamic Random-Access Memory (EDODRAM), a Synchronous Dynamic Random-Access Memory (SDRAM), and the like.
The memory 22 may be used to store or cache various data files that need to be processed and/or used for communication, as well as possible computer program instructions executed by the processor 21.
The processor 21 implements any of the link tracing methods in the above embodiments by reading and executing computer program instructions stored in the memory 22.
In some of these embodiments, the electronic device may also include a communication interface 23 and a bus 20. As shown in fig. 5, the processor 21, the memory 22, and the communication interface 23 are connected via the bus 20 to complete mutual communication.
The communication port 23 may be implemented with other components such as: the data communication is carried out among external equipment, image/data acquisition equipment, a database, external storage, an image/data processing workstation and the like.
The bus 20 includes hardware, software, or both to couple the components of the electronic device to one another. Bus 20 includes, but is not limited to, at least one of the following: data Bus (Data Bus), Address Bus (Address Bus), Control Bus (Control Bus), Expansion Bus (Expansion Bus), and Local Bus (Local Bus). By way of example, and not limitation, Bus 20 may include an Accelerated Graphics Port (AGP) or other Graphics Bus, an Enhanced Industry Standard Architecture (EISA) Bus, a Front-Side Bus (FSB), a Hyper Transport (HT) Interconnect, an ISA (ISA) Bus, an InfiniBand (InfiniBand) Interconnect, a Low Pin Count (LPC) Bus, a memory Bus, a microchannel Architecture (MCA) Bus, a PCI (Peripheral Component Interconnect) Bus, a PCI-Express (PCI-X) Bus, a Serial Advanced Technology Attachment (SATA) Bus, a Video Electronics Bus (audio Electronics Association), abbreviated VLB) bus or other suitable bus or a combination of two or more of these. Bus 20 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.
The electronic device may perform any of the link tracing methods described above.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
In conclusion, the invention realizes link tracking based on the self-defined monitoring service function of Prometheus, does not need to bury points repeatedly, counts and counts multiple requests and simultaneously carries out link tracking on a single request; meanwhile, the technical gap of link tracking and system monitoring is opened; and provides a unified graphical display of link tracking information and monitoring statistical indexes; and the system has richer graphic display and provides basis reference for technical personnel to analyze problems.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A link tracking method is characterized in that the link tracking method is based on a Prometheus custom monitoring service function and comprises the following steps:
step S1: for key service code embedded points, an application program establishes and reports link data through an API;
step S2: directly pushing the link data to a tracking collector through a tracking agent end;
step S3: and the tracking collector processes the link data to obtain user-defined monitoring index data and sends the user-defined monitoring index data to a data receiving end and/or a storage end.
2. The link tracing method according to claim 1, wherein said step S1 includes said tracing proxy receiving said link data by means of UDP.
3. The link tracing method according to claim 1, wherein said step S3 includes:
step S31: parsing, by the trace collector, the link data tag;
step S32: verifying, by the trace collector, the link data;
step S33: and packaging the link data which is verified into the custom monitoring index data through the tracking collector.
4. The link tracing method of claim 1, further comprising,
step S4: and processing the user-defined monitoring index data.
5. The link tracing method according to claim 4, wherein said step S4 includes:
step S41: receiving the self-defined monitoring index data through Pushgateway;
step S42: aggregating the user-defined monitoring index data through a counter to generate statistical index data;
step S43: and obtaining a display graph according to the user-defined monitoring index data through a graph editor.
6. A link tracking system based on Prometheus custom monitoring service functionality, the link tracking system comprising:
the tracking client buries points of the key service codes, and the application program creates and reports link data through an API (application programming interface);
the tracking agent end receives and directly pushes the link data;
and the tracking collector is used for processing the link data to obtain user-defined monitoring index data and sending the user-defined monitoring index data to a data receiving end and/or a storage end.
7. The link tracking system of claim 6, wherein the trace collector parses link data tags; the trace collector verifies the link data; and the tracking collector packages the link data which is verified into the custom monitoring index data.
8. The link tracking system according to claim 6, further comprising a data sink, said data sink receiving said custom monitoring metric data via Pushgateway; and the data receiving end aggregates the user-defined monitoring index data through a counter to generate statistical index data, and the data receiving end obtains a display graph according to the user-defined monitoring index data through a graph editor.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the link tracing method according to any one of claims 1 to 5.
10. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the link tracing method according to any one of claims 1 to 5 when executing the computer program.
CN202011119826.1A 2020-10-19 2020-10-19 Link tracking method, system, computer readable storage medium and electronic device Active CN112241355B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011119826.1A CN112241355B (en) 2020-10-19 2020-10-19 Link tracking method, system, computer readable storage medium and electronic device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011119826.1A CN112241355B (en) 2020-10-19 2020-10-19 Link tracking method, system, computer readable storage medium and electronic device

Publications (2)

Publication Number Publication Date
CN112241355A true CN112241355A (en) 2021-01-19
CN112241355B CN112241355B (en) 2024-06-21

Family

ID=74169155

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011119826.1A Active CN112241355B (en) 2020-10-19 2020-10-19 Link tracking method, system, computer readable storage medium and electronic device

Country Status (1)

Country Link
CN (1) CN112241355B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112835964A (en) * 2021-01-27 2021-05-25 上海臣星软件技术有限公司 Big data index data display method, device and equipment and computer storage medium
CN114331209A (en) * 2022-01-10 2022-04-12 北京蓝莓时节科技有限公司 Recommendation strategy data tracking method, device, system and storage medium

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109067597A (en) * 2018-09-21 2018-12-21 杭州安恒信息技术股份有限公司 A kind of distributed system dynamic and intelligent service administering method
CN109359007A (en) * 2018-09-30 2019-02-19 江苏满运软件科技有限公司 Processing method, system, electronic equipment and the storage medium of error log
CN110602043A (en) * 2019-08-08 2019-12-20 中腾信金融信息服务(上海)有限公司 API gateway implementation system and method for mobile application
CN110635938A (en) * 2019-08-19 2019-12-31 腾讯科技(深圳)有限公司 Monitoring method, system, equipment and medium
CN110806931A (en) * 2019-10-31 2020-02-18 上海依图网络科技有限公司 Method and device for realizing call link tracking of distributed service and electronic equipment
CN111443940A (en) * 2020-05-08 2020-07-24 南京大学 Complete software life cycle management method and platform based on DevOps
CN111752799A (en) * 2020-06-24 2020-10-09 中国建设银行股份有限公司 Service link tracking method, device, equipment and storage medium
CN111784299A (en) * 2020-07-01 2020-10-16 神思旭辉医疗信息技术有限责任公司 Medical transaction link tracking system and method based on flow point burying

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109067597A (en) * 2018-09-21 2018-12-21 杭州安恒信息技术股份有限公司 A kind of distributed system dynamic and intelligent service administering method
CN109359007A (en) * 2018-09-30 2019-02-19 江苏满运软件科技有限公司 Processing method, system, electronic equipment and the storage medium of error log
CN110602043A (en) * 2019-08-08 2019-12-20 中腾信金融信息服务(上海)有限公司 API gateway implementation system and method for mobile application
CN110635938A (en) * 2019-08-19 2019-12-31 腾讯科技(深圳)有限公司 Monitoring method, system, equipment and medium
CN110806931A (en) * 2019-10-31 2020-02-18 上海依图网络科技有限公司 Method and device for realizing call link tracking of distributed service and electronic equipment
CN111443940A (en) * 2020-05-08 2020-07-24 南京大学 Complete software life cycle management method and platform based on DevOps
CN111752799A (en) * 2020-06-24 2020-10-09 中国建设银行股份有限公司 Service link tracking method, device, equipment and storage medium
CN111784299A (en) * 2020-07-01 2020-10-16 神思旭辉医疗信息技术有限责任公司 Medical transaction link tracking system and method based on flow point burying

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
LUZHOUXIAOSHUAI: "第七模块 :微服务监控告警Prometheus架构和实践", pages 1 - 61, Retrieved from the Internet <URL:https://www.cnblogs.com/kebibuluan/p/11414366.html> *
马永;吴跃;何李囡;程航;: "基于Prometheus的基础软硬件全链路监控设计和实现", 电子技术与软件工程, no. 24, pages 39 - 40 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112835964A (en) * 2021-01-27 2021-05-25 上海臣星软件技术有限公司 Big data index data display method, device and equipment and computer storage medium
CN114331209A (en) * 2022-01-10 2022-04-12 北京蓝莓时节科技有限公司 Recommendation strategy data tracking method, device, system and storage medium

Also Published As

Publication number Publication date
CN112241355B (en) 2024-06-21

Similar Documents

Publication Publication Date Title
CN107506451B (en) Abnormal information monitoring method and device for data interaction
US8731998B2 (en) Three dimensional visual representation for identifying problems in monitored model oriented business processes
CN110162512B (en) Log retrieval method, device and storage medium
US20030120980A1 (en) System trace unit
CN111881011A (en) Log management method, platform, server and storage medium
US9442822B2 (en) Providing a visual representation of a sub-set of a visual program
US10592327B2 (en) Apparatus, system, and method for analyzing logs
CN110224874B (en) Equipment fault processing method and device
CN109726091B (en) Log management method and related device
CN112241355A (en) Link tracking method, system, computer readable storage medium and electronic device
CN113704790A (en) Abnormal log information summarizing method and computer equipment
CN111651595A (en) Abnormal log processing method and device
US20180225063A1 (en) Device, system and method to provide categorized trace information
CN112306700A (en) Abnormal RPC request diagnosis method and device
CN112765029A (en) Test method, test device, electronic equipment and computer storage medium
US20070245313A1 (en) Failure tagging
CN110716804A (en) Method and device for automatically deleting useless resources, storage medium and electronic equipment
CN114064712A (en) Data access method and device, electronic equipment and computer readable storage medium
CN108182241B (en) Data interaction optimization method and device, server and storage medium
CN110866031A (en) Database access path optimization method and device, computing equipment and medium
KR102349495B1 (en) A computer system and method for processing large log files from virtual servers.
CN105786865B (en) Fault analysis method and device for retrieval system
CN114090514A (en) Log retrieval method and device for distributed system
CN113434193B (en) Root cause change positioning method and device
CN114254081B (en) Enterprise big data search system, method and electronic equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant