CN114189430A - Three-dimensional log full-link monitoring system, method, medium and equipment - Google Patents
Three-dimensional log full-link monitoring system, method, medium and equipment Download PDFInfo
- Publication number
- CN114189430A CN114189430A CN202111503184.XA CN202111503184A CN114189430A CN 114189430 A CN114189430 A CN 114189430A CN 202111503184 A CN202111503184 A CN 202111503184A CN 114189430 A CN114189430 A CN 114189430A
- Authority
- CN
- China
- Prior art keywords
- log
- full
- monitoring
- data
- link
- 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.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 83
- 238000000034 method Methods 0.000 title claims abstract description 26
- 230000004044 response Effects 0.000 claims abstract description 8
- 238000001914 filtration Methods 0.000 claims abstract description 7
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 238000003860 storage Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 6
- 239000000523 sample Substances 0.000 claims description 3
- 230000009545 invasion Effects 0.000 claims description 2
- 238000012806 monitoring device Methods 0.000 claims 1
- 230000006870 function Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000004931 aggregating effect Effects 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000000586 desensitisation Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Mining & Analysis (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention provides a three-dimensional log full-link monitoring system, a method, a medium and equipment, comprising the following steps: a log analysis platform: collecting application logs, and filtering, desensitizing, storing, inquiring and alarming the application logs; full link tracking platform: acquiring related data based on an application performance monitoring system Skywalk, and analyzing and diagnosing performance bottlenecks of applications under a distributed architecture; a monitoring platform: monitoring the infrastructure, application performance, middleware and service operation indexes, and controlling the performance conditions of each access system, including application response time, throughput, slow response and error detail, JVM and middleware states and service indexes. The invention combines the log and the full link tracking, realizes the correlation of the transaction between ends under the micro service scene, can quickly locate and analyze the problem by searching the log and tracking the call chain directly, and reduces the complexity of problem location.
Description
Technical Field
The invention relates to the technical field of log monitoring, in particular to a three-dimensional log full-link monitoring system, a method, a medium and equipment.
Background
Currently, if there is a problem in the online environment, an operation and maintenance engineer is required to log in a server to query the log, download the log and forward the log file, and then a research and development engineer analyzes the log file. The whole operation flow is tedious, consumes long time and is not beneficial to quick positioning of problems.
Moreover, the common log system and the monitoring system are separated, and the interactivity and the linkage of the log system and the monitoring system are not high. For example, the monitoring indexes are independent from the abnormal stack information of the log, so that operation and maintenance personnel need to synchronously query two systems in the debugging process, and the operation difficulty is high.
Patent document CN111740860A (application number: CN202010540717.0) discloses a log data transmission link monitoring method and device, the method includes: acquiring link state information of log data in a transmission link, wherein the link state information is obtained according to the current state of each link node in the transmission link when the log data is transmitted; and determining the link nodes meeting the preset link abnormity judgment condition according to the link state information. However, in the micro-service scenario, the applications are deployed in different hosts or in a cloud native environment, log files are scattered and easily lost, and each application calls across multiple services, which increases the difficulty of problem tracking and positioning.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a three-dimensional log full-link monitoring system, a method, a medium and equipment.
The three-dimensional log full-link monitoring system provided by the invention comprises:
a log analysis platform: collecting application logs, and filtering, desensitizing, storing, inquiring and alarming the application logs;
full link tracking platform: acquiring related data based on an application performance monitoring system Skywalk, and analyzing and diagnosing performance bottlenecks of applications under a distributed architecture;
a monitoring platform: monitoring the infrastructure, application performance, middleware and service operation indexes, and controlling the performance conditions of each access system, including application response time, throughput, slow response and error detail, JVM and middleware states and service indexes.
Preferably, the log analysis platform is constructed based on elastic search, Logstash, Filebeat and Kafka;
the ElasticSearch is a search server based on Lucene, is used for log query and search and provides an Api interface in a RESTful style;
the Filebeat and the Logstash are both lightweight log collecting and filtering components;
the Kafka is message queue middleware.
Preferably, the SkyWalking is used to collect, analyze, aggregate, visualize data from different services and local base services; the method comprises the steps of carrying out point burying and data acquisition through a JavaAgent probe, carrying out non-invasion on codes, and transmitting acquired data to a collector through an http or grpc protocol and displaying the acquired data.
Preferably, the monitoring platform acquires relevant monitoring index data according to Prometheus, the Prometheus is an open-source service monitoring system and a time sequence database, time sequence data are acquired through a Pull model based on Http, and a PromQL statement support flexible query function is provided.
Preferably, the service log and the call chain are communicated with each other through the request ID by combining the log and the full link tracking, and the problem of mutual cooperation and quick positioning based on the full link tracking and the log system is solved.
Preferably, the service system meeting the preset abnormal standard is identified by detecting the index data in the log data, the log system and the monitoring system are communicated, and the log data is monitored and alarmed by log monitoring alarm rule configuration and alarm triggering, so that the log is in linkage alarm.
Preferably, the UI management platform of the three-dimensional system is used for checking the full-link tracking data, the log data and various monitoring index data, and configuring various monitoring and early warning rules in a user-defined manner.
According to the three-dimensional log full-link monitoring method provided by the invention, the following steps are executed:
step 1: through the combination of the log and the full link tracking, the service log and the call chain are communicated with each other through the request ID, and the problem of quick positioning based on the full link tracking and the mutual cooperation of the log system is solved;
step 2: the method comprises the steps of identifying a service system meeting a preset abnormal standard by detecting index data in log data, communicating a log system and a monitoring system, and realizing monitoring and alarming of the log data through log monitoring and alarming rule configuration and alarming triggering so as to realize linkage alarming of logs;
and step 3: and checking the full-link tracking data, the log data and various monitoring index data through a UI management platform of the three-dimensional system, and configuring various monitoring and early warning rules in a user-defined mode.
According to the present invention, a computer-readable storage medium is provided, in which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method.
The three-dimensional log full-link monitoring equipment provided by the invention comprises: a controller;
the controller comprises the computer readable storage medium storing the computer program, and the computer program realizes the steps of the stereoscopic log full-link monitoring method when being executed by a processor; or the controller comprises the three-dimensional log full-link monitoring system.
Compared with the prior art, the invention has the following beneficial effects:
(1) the invention provides a one-stop log management service, which standardizes a log system, adopts a standard log format to facilitate log aggregation retrieval, supports uniform acquisition, processing, storage and retrieval of discrete and dispersed logs, deeply excavates log values, directly identifies an abnormal service system by intelligently detecting index data in log data, communicates the log system with a monitoring system, and realizes monitoring and alarming of the log data through log monitoring and alarming rule configuration and alarming triggering;
(2) according to the method, the log and the full link tracking are combined, the end-to-end affairs are correlated under a micro-service scene, the call chain can be tracked by searching the log directly, the problem can be quickly positioned and analyzed, and the complexity of problem positioning is reduced;
(3) the invention extracts the key information of the log, enables the key information to be linked with the alarm index, and avoids the defect that each system is independent and unrelated.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
fig. 1 is a schematic diagram of a stereoscopic log full-link monitoring system.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
Example (b):
the invention organically combines a log analysis platform, a full link tracking platform and a monitoring platform to construct a set of three-dimensional log link monitoring system. As shown in particular in figure 1.
The log analysis platform provides functions of acquisition, filtering, desensitization, storage, query, alarm and the like for application logs, and the overall technical scheme of the log analysis platform is constructed on the basis of ElasticSearch, Logstash, Filebeat and Kafka. The ElasticSearch is a Lucene-based full-text search engine with distributed multi-user capability, and provides an Api interface in a RESTful style. The elastic search is developed in Java language and issued as open source code under the Apache licensing terms, and is a popular enterprise-level search engine, which is generally used for log query and search engines. Kafka is a message queue middleware, and Filebeat and Logstash are both lightweight log collection and filtering components.
The full-link tracing platform collects related data by relying on the Skywalk cluster, and the link tracing can help developers to quickly analyze and diagnose the performance bottleneck of application under a distributed architecture, so that the development and diagnosis efficiency under the micro-service era is improved. In a distributed environment, a request initiated by a client side can cooperatively generate a final request result through a plurality of different micro-service calls in a back-end system, in a complex micro-service architecture system, almost every front-end request forms a complex distributed service call link, the final failure of the request can be caused when any dependent service in each link has overhigh delay or is wrong, and in this time, the tracking of the full link call of each request becomes more and more important, and the root of the error can be quickly found through the full link tracking. SkyWalking is an open source platform for collecting, analyzing, aggregating, visualizing observables from different services and local base service data. Skywalk performs embedded point and data acquisition through a JavaAgent (Java byte code technology based) probe, is non-invasive to codes, and transmits acquired data to a collector through an http or grpc protocol and displays the acquired data. The full-link tracking platform is mainly used for carrying out enterprise-level transformation based on Skywalk, and meets the requirements of people.
The monitoring platform provides monitoring of infrastructure, application performance, middleware, service operation indexes and the like so as to comprehensively control the performance conditions of each access system, wherein the monitoring comprises monitoring of application response time, throughput, slow response and error detail, JVM state, middleware and the like, and indexes of service and the like. The monitoring platform collects related monitoring index data by virtue of Prometheus. Prometheus is an open-source service monitoring system and a time sequence database, mainly collects time sequence data through a Pull model based on Http, and provides a PromQL statement to support a flexible query function.
The log analysis platform comprises: filebeat, Logstash, elastic search Cluster 1;
skywalk includes: skywalk Trace, Skywalk Agent, Skywalk Collector, elastic search cluster 2;
prometheus includes: metricbeat.
In fig. 1, the tables are a general term of the collector, and the tables collect indexes of various types of data required by the application system. The method comprises the following steps that the method is divided into a Filebeat and a Metriceat according to the eat type, the Filebeat is a lightweight log collector, the Metriceat is a monitoring index collector, the Metriceat sends collected monitoring indexes to a Prometheus component and stores the monitoring indexes in a time permission database of the component; the logs collected by the Filebeat are sent to a Kafka message queue for storage, the stored log messages can be consumed in real time, Logstash is used as a consumer of the Kafka, original logs can be pulled from Kafka cluster nodes in real time, then the obtained original logs are analyzed, cleaned and filtered according to rules, and finally the processed logs are forwarded to an Elasticisearch 1 cluster. And meanwhile, collecting full link monitoring information by an Agent of Skywalk, and transmitting the data to an elastic search2 cluster to store full link monitoring data after the Skywalk Collector processes the data.
The whole realization effect is as follows:
1. through the combination of the log and the full link tracking, the service log and the call chain are communicated with each other through the Trace ID and are used for positioning a slow link in a service link, the full link tracking and the log system are cooperated with each other to quickly position the problem, and the complexity of problem positioning is reduced.
2. The method comprises the steps of intelligently detecting index data in log data, directly identifying an abnormal service system, communicating a log system with a monitoring system, and realizing log data monitoring and log linkage alarm through log monitoring alarm rule configuration and alarm triggering.
3. And checking the full-link tracking data, the log data and various monitoring index data through a UI management platform of the three-dimensional system, and configuring various monitoring and early warning rules in a user-defined mode.
Those skilled in the art will appreciate that, in addition to implementing the systems, apparatus, and various modules thereof provided by the present invention in purely computer readable program code, the same procedures can be implemented entirely by logically programming method steps such that the systems, apparatus, and various modules thereof are provided in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system, the device and the modules thereof provided by the present invention can be considered as a hardware component, and the modules included in the system, the device and the modules thereof for implementing various programs can also be considered as structures in the hardware component; modules for performing various functions may also be considered to be both software programs for performing the methods and structures within hardware components.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (10)
1. A three-dimensional log full-link monitoring system is characterized by comprising:
a log analysis platform: collecting application logs, and filtering, desensitizing, storing, inquiring and alarming the application logs;
full link tracking platform: acquiring related data based on an application performance monitoring system Skywalk, and analyzing and diagnosing performance bottlenecks of applications under a distributed architecture;
a monitoring platform: monitoring the infrastructure, application performance, middleware and service operation indexes, and controlling the performance conditions of each access system, including application response time, throughput, slow response and error detail, JVM and middleware states and service indexes.
2. The stereoscopic log full link monitoring system of claim 1, wherein the log analysis platform is constructed based on elastic search, Logstash, Filebeat, Kafka;
the ElasticSearch is a search server based on Lucene, is used for log query and search and provides an Api interface in a RESTful style;
the Filebeat and the Logstash are both lightweight log collecting and filtering components;
the Kafka is message queue middleware.
3. The stereoscopic log full link monitoring system of claim 1, wherein the SkyWalking is used to collect, analyze, aggregate, visualize data from different services and local infrastructure services; the method comprises the steps of carrying out point burying and data acquisition through a JavaAgent probe, carrying out non-invasion on codes, and transmitting acquired data to a collector through an http or grpc protocol and displaying the acquired data.
4. The stereoscopic log full-link monitoring system as claimed in claim 1, wherein the monitoring platform collects relevant monitoring index data according to Prometheus, which is an open-source service monitoring system and a time sequence database, collects time sequence data through a push model based on Http, and provides a PromQL statement to support a flexible query function.
5. The stereoscopic log full-link monitoring system according to claim 1, wherein the service log and the call chain are communicated with each other through a request ID by combining the log and the full-link tracking, and the problem of mutual cooperative and rapid positioning based on the full-link tracking and the log system is solved.
6. The stereoscopic log full-link monitoring system according to claim 1, wherein a service system meeting a preset abnormal standard is identified by detecting index data in log data, the log system and the monitoring system are communicated, and log data monitoring and alarming are realized by log monitoring and alarming rule configuration and alarming triggering, so that log linkage alarming is realized.
7. The stereoscopic log full-link monitoring system as claimed in claim 1, wherein the full-link tracking data, log data and various monitoring index data are checked through a UI management console of the stereoscopic system, and various monitoring and early warning rules are configured in a customized manner.
8. A stereoscopic log full-link monitoring method, characterized in that, by using the stereoscopic log full-link monitoring system of any one of claims 1 to 7, the following steps are performed:
step 1: through the combination of the log and the full link tracking, the service log and the call chain are communicated with each other through the request ID, and the problem of quick positioning based on the full link tracking and the mutual cooperation of the log system is solved;
step 2: the method comprises the steps of identifying a service system meeting a preset abnormal standard by detecting index data in log data, communicating a log system and a monitoring system, and realizing monitoring and alarming of the log data through log monitoring and alarming rule configuration and alarming triggering so as to realize linkage alarming of logs;
and step 3: and checking the full-link tracking data, the log data and various monitoring index data through a UI management platform of the three-dimensional system, and configuring various monitoring and early warning rules in a user-defined mode.
9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method as claimed in claim 8.
10. A stereoscopic log full-link monitoring device is characterized by comprising: a controller;
the controller comprises the computer readable storage medium of claim 9 storing a computer program which when executed by a processor implements the steps of the stereoscopic log full link monitoring method of claim 8; alternatively, the controller comprises the stereoscopic log full link monitoring system of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111503184.XA CN114189430A (en) | 2021-12-09 | 2021-12-09 | Three-dimensional log full-link monitoring system, method, medium and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111503184.XA CN114189430A (en) | 2021-12-09 | 2021-12-09 | Three-dimensional log full-link monitoring system, method, medium and equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114189430A true CN114189430A (en) | 2022-03-15 |
Family
ID=80604203
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111503184.XA Pending CN114189430A (en) | 2021-12-09 | 2021-12-09 | Three-dimensional log full-link monitoring system, method, medium and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114189430A (en) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114785690A (en) * | 2022-03-30 | 2022-07-22 | 中国人寿保险股份有限公司 | Monitoring method based on service grid and related equipment |
| CN114844797A (en) * | 2022-05-27 | 2022-08-02 | 中国银行股份有限公司 | Call chain log and monitoring log association method and micro-service anomaly detection method |
| CN115277475A (en) * | 2022-07-05 | 2022-11-01 | 浪潮云信息技术股份公司 | Method and system for realizing link tracking by API gateway |
| CN115514631A (en) * | 2022-09-22 | 2022-12-23 | 浙江大学 | Real-time interactive monitoring and analyzing method and device for data |
| CN115794538A (en) * | 2022-09-07 | 2023-03-14 | 上海道客网络科技有限公司 | Full link monitoring method and system for stateful application in cloud native scene |
| CN116431872A (en) * | 2023-06-09 | 2023-07-14 | 智者四海（北京）技术有限公司 | Observable system and service observing method based on observable system |
| CN116737514A (en) * | 2023-08-15 | 2023-09-12 | 南京国睿信维软件有限公司 | Automatic operation and maintenance method based on log and probe analysis |
| CN117112371A (en) * | 2023-10-25 | 2023-11-24 | 杭银消费金融股份有限公司 | Observable full-link log tracking method and system |
| CN117312104A (en) * | 2023-11-30 | 2023-12-29 | 青岛民航凯亚系统集成有限公司 | Visual link tracking method and system based on airport production operation system |
| CN117808570A (en) * | 2024-02-29 | 2024-04-02 | 梅州客商银行股份有限公司 | Method and device for monitoring all links of bank distributed system and electronic equipment |
| WO2024066518A1 (en) * | 2022-09-27 | 2024-04-04 | 中兴通讯股份有限公司 | Efficiency bottleneck detection method and apparatus, and computer-readable medium |
| CN117971606A (en) * | 2024-03-29 | 2024-05-03 | 浙商银行股份有限公司 | Log management system and method based on elastic search |
| CN118331823A (en) * | 2024-04-23 | 2024-07-12 | 中国科学院空间应用工程与技术中心 | Method and system for managing and monitoring alarm of space engineering business operation log |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111400127A (en) * | 2020-02-28 | 2020-07-10 | 平安医疗健康管理股份有限公司 | Service log monitoring method and device, storage medium and computer equipment |
| CN112506894A (en) * | 2020-12-02 | 2021-03-16 | 平安医疗健康管理股份有限公司 | Service chain log processing method and device based on link tracking and computer equipment |
| CN113535513A (en) * | 2021-07-02 | 2021-10-22 | 厦门点触科技股份有限公司 | Global background server running state monitoring system and method based on micro-service architecture |
-
2021
- 2021-12-09 CN CN202111503184.XA patent/CN114189430A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111400127A (en) * | 2020-02-28 | 2020-07-10 | 平安医疗健康管理股份有限公司 | Service log monitoring method and device, storage medium and computer equipment |
| CN112506894A (en) * | 2020-12-02 | 2021-03-16 | 平安医疗健康管理股份有限公司 | Service chain log processing method and device based on link tracking and computer equipment |
| CN113535513A (en) * | 2021-07-02 | 2021-10-22 | 厦门点触科技股份有限公司 | Global background server running state monitoring system and method based on micro-service architecture |
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114785690A (en) * | 2022-03-30 | 2022-07-22 | 中国人寿保险股份有限公司 | Monitoring method based on service grid and related equipment |
| CN114785690B (en) * | 2022-03-30 | 2024-04-30 | 中国人寿保险股份有限公司 | Monitoring method based on service grid and related equipment |
| CN114844797A (en) * | 2022-05-27 | 2022-08-02 | 中国银行股份有限公司 | Call chain log and monitoring log association method and micro-service anomaly detection method |
| CN115277475A (en) * | 2022-07-05 | 2022-11-01 | 浪潮云信息技术股份公司 | Method and system for realizing link tracking by API gateway |
| CN115794538A (en) * | 2022-09-07 | 2023-03-14 | 上海道客网络科技有限公司 | Full link monitoring method and system for stateful application in cloud native scene |
| CN115794538B (en) * | 2022-09-07 | 2023-08-04 | 上海道客网络科技有限公司 | Full-link monitoring method and system for stateful application in cloud primary scene |
| CN115514631A (en) * | 2022-09-22 | 2022-12-23 | 浙江大学 | Real-time interactive monitoring and analyzing method and device for data |
| WO2024066518A1 (en) * | 2022-09-27 | 2024-04-04 | 中兴通讯股份有限公司 | Efficiency bottleneck detection method and apparatus, and computer-readable medium |
| CN116431872A (en) * | 2023-06-09 | 2023-07-14 | 智者四海（北京）技术有限公司 | Observable system and service observing method based on observable system |
| CN116431872B (en) * | 2023-06-09 | 2023-09-01 | 智者四海（北京）技术有限公司 | Observable system and service observing method based on observable system |
| CN116737514B (en) * | 2023-08-15 | 2023-12-22 | 南京国睿信维软件有限公司 | Automatic operation and maintenance method based on log and probe analysis |
| CN116737514A (en) * | 2023-08-15 | 2023-09-12 | 南京国睿信维软件有限公司 | Automatic operation and maintenance method based on log and probe analysis |
| CN117112371A (en) * | 2023-10-25 | 2023-11-24 | 杭银消费金融股份有限公司 | Observable full-link log tracking method and system |
| CN117112371B (en) * | 2023-10-25 | 2024-01-26 | 杭银消费金融股份有限公司 | Observable full-link log tracking method and system |
| CN117312104A (en) * | 2023-11-30 | 2023-12-29 | 青岛民航凯亚系统集成有限公司 | Visual link tracking method and system based on airport production operation system |
| CN117312104B (en) * | 2023-11-30 | 2024-03-12 | 青岛民航凯亚系统集成有限公司 | Visual link tracking method and system based on airport production operation system |
| CN117808570A (en) * | 2024-02-29 | 2024-04-02 | 梅州客商银行股份有限公司 | Method and device for monitoring all links of bank distributed system and electronic equipment |
| CN117808570B (en) * | 2024-02-29 | 2024-05-07 | 梅州客商银行股份有限公司 | Method and device for monitoring all links of bank distributed system and electronic equipment |
| CN117971606A (en) * | 2024-03-29 | 2024-05-03 | 浙商银行股份有限公司 | Log management system and method based on elastic search |
| CN118331823A (en) * | 2024-04-23 | 2024-07-12 | 中国科学院空间应用工程与技术中心 | Method and system for managing and monitoring alarm of space engineering business operation log |
| CN118331823B (en) * | 2024-04-23 | 2024-10-11 | 中国科学院空间应用工程与技术中心 | Method and system for managing and monitoring alarm of space engineering business operation log |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114189430A (en) | Three-dimensional log full-link monitoring system, method, medium and equipment | |
| CN112653586B (en) | Time-space big data platform application performance management method based on full link monitoring | |
| US11409645B1 (en) | Intermittent failure metrics in technological processes | |
| Lou et al. | Software analytics for incident management of online services: An experience report | |
| US11323463B2 (en) | Generating data structures representing relationships among entities of a high-scale network infrastructure | |
| US11138058B2 (en) | Hierarchical fault determination in an application performance management system | |
| US11977934B2 (en) | Automation solutions for event logging and debugging on KUBERNETES | |
| CN111163150A (en) | Distributed calling tracking system | |
| CN114785690B (en) | Monitoring method based on service grid and related equipment | |
| CN112000502B (en) | Processing method and device for mass error logs, electronic device and storage medium | |
| EP3384391B1 (en) | Real-time change data from disparate sources | |
| WO2020106501A1 (en) | Veto-based model for measuring product health | |
| CN105122733A (en) | Queue monitoring and visualization | |
| CN114265758A (en) | Full link monitoring method and device based on software and hardware integrated architecture | |
| US10671470B2 (en) | Application performance management system with dynamic discovery and extension | |
| KR20220166760A (en) | Apparatus and method for managing trouble using big data of 5G distributed cloud system | |
| US11153183B2 (en) | Compacted messaging for application performance management system | |
| CN114143169A (en) | Micro-service application observability system | |
| CN114221997A (en) | Interface monitoring system based on micro-service gateway | |
| US10848371B2 (en) | User interface for an application performance management system | |
| US11789804B1 (en) | Identifying the root cause of failure observed in connection to a workflow | |
| CN115883328A (en) | Big data cluster fault analysis method, device, equipment, medium and product | |
| CN114880153A (en) | Data processing method and device, electronic equipment and computer readable storage medium | |
| CN113900898B (en) | Data processing system, equipment and medium | |
| CN116431872B (en) | Observable system and service observing method based on observable system |
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 |