CN106940677A - One kind application daily record data alarm method and device - Google Patents
One kind application daily record data alarm method and device Download PDFInfo
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- CN106940677A CN106940677A CN201710076248.XA CN201710076248A CN106940677A CN 106940677 A CN106940677 A CN 106940677A CN 201710076248 A CN201710076248 A CN 201710076248A CN 106940677 A CN106940677 A CN 106940677A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording 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
- G06F11/3409—Recording 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 for performance assessment
- G06F11/3419—Recording 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 for performance assessment by assessing time
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording 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
- G06F11/3466—Performance evaluation by tracing or monitoring
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/1734—Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
Abstract
Daily record data alarm method is applied the invention discloses one kind, applied to ELK platforms, methods described includes：Obtain the application daily record data that ELK platforms are gathered；Based on preset rules, judge in the application daily record data whether the alarm data of alarm in need, alarm data is stored in database；The alarm data stored in reading database, is sent the alarm data to destination object using preset configuration.Daily record data alarm device is applied the invention also discloses one kind.
Description
Technical field
The present invention relates to Computerized Information Processing Tech, more particularly to a kind of application daily record data alarm method and device.
Background technology
At present, with the development of computer technology, the scale of various applications is more and more huger in internet environment, generation
It is also more and more using daily record data amount, and it is extremely important to apply daily record data to be served for the performance and failure of analysis application
Effect, therefore, how accurately, comprehensively, fast and efficiently get from the application daily record data of magnanimity key performance and
Fault log data index, for application in the process of running produce the problem of positioning, processing, the improvement of service quality and
The discovery of potential problems, there is very important meaning.
In the prior art, obtain application daily record data and analyzed at present can be by using Hadoop Mapreduce
Framework carries out the application daily record data analysis of off-line type, as shown in figure 3, big calculating task is split into multiple tasks, distributes
Parallel computation is performed to different calculate nodes, finally collects result of calculation.
And such scheme is that the application daily record data of magnanimity is analyzed using the method for static off-line type, when applying
Occur in running after exception or failure, it is necessary to just can be by exception and failure reason analysis after terminating using the cycle of operation
Out, therefore, such scheme can not be handled the failure that application running is produced in real time, efficiently.
The content of the invention
In view of this, the embodiment of the present invention is expected to provide a kind of application daily record alarm method and device, can automatically, in fact
When, accurately and efficiently obtain and apply daily record data when being broken down during running, and send warning information in time.
To reach above-mentioned purpose, daily record data alarm method is applied the embodiments of the invention provide one kind, including：
Obtain the application daily record data that ELK platforms are gathered；
Based on preset rules, judge in the application daily record data whether the alarm data in need alerted, will accuse
Alert data deposit database；
The alarm data stored in reading database, is sent the alarm data to destination object using preset configuration.
In the above method, before the application daily record data that the acquisition ELK platforms are gathered, including：
Application daily record data of the real-time acquisition applications of ELK platforms during running, by the application daily record data of the collection
It is formatted, the field to the application daily record data sets up index, after receiving using daily record data inquiry request, according to
Application daily record data corresponding with the inquiry request is transmitted by the index.
In the above method, the application daily record data that the acquisition ELK platforms are gathered, including：
Periodically sent to ELK platforms and apply daily record data inquiry request, the application daily record data inquiry request bag
The application daily record data for inquiring about default multiple continuous time points is included, the default multiple continuous of ELK platforms transmission is obtained
The application daily record data at time point.
Wherein, it is described to be based on preset rules, judge in the application Log Data File whether the data of alarm in need,
Alarm data is stored in database, including：
In advance to the data setting threshold value of each type in application daily record data, the application daily record that ELK platforms are sent is obtained
After data, judge whether each categorical data exceedes described preset at default continuous time point in the application daily record data
Threshold value, by the data more than threshold value be defined as need alert alarm data, by the alarm data be stored in database in.
The threshold value is according to the value setting for applying the daily record data in normal operation.
The preset configuration includes calling communication tool interface to send alarm data.
The embodiment of the present invention additionally provides a kind of application daily record data alarm device, including：
Acquisition module, for obtaining the application daily record data that ELK platforms are gathered；The application daily record data includes application
Numerical value of all data in Each point in time in during running；
Determining module, for based on preset rules, judge in the application Log Data File whether alarm in need
Alarm data, determines alarm data；
Database, for storing alarm data；
Sending module, read described in be stored in alarm data in database, according to preset configuration by the alarm data
Send to destination object；The preset configuration includes calling communication tool interface to send alarm data.
Wherein, the acquisition module, specifically for：
Periodically sent to ELK platforms and apply daily record data inquiry request, the application daily record data inquiry request bag
The application daily record data for inquiring about default multiple time points is included, the application at default multiple time points that ELK platforms are sent is obtained
Daily record data.
The determining module, specifically for：
In advance to the data setting threshold value of each type in application daily record data, the application daily record that ELK platforms are sent is obtained
After data, judge whether described each categorical data of application daily record data exceedes at default continuous time point described default
Threshold value, the data more than threshold value is defined as the alarm data for needing to alert, the alarm data is stored in database.
In advance to the data setting threshold value of each type in application daily record data according to applying just in the determining module
Often the value of daily record data is set in operation.
Application daily record data alarm method and device provided in an embodiment of the present invention, applied to ELK platforms, obtain ELK and put down
The application daily record data that platform is gathered；Based on preset rules, judge in the application daily record data whether the announcement of alarm in need
Alert data, database is stored in by alarm data；The alarm data stored in reading database, using preset configuration by the alarm
Data are sent to destination object；So, it is possible to achieve using the real-time monitoring of daily record data, when abnormal or event occurs in application operation
During barrier, find in time and send warning information in time.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of embodiment of the present invention application daily record data alarm method；
Fig. 2 is embodiment of the present invention ELK platform structure schematic diagrames；
Fig. 3 is Haddoop Mapreduce circuit theory schematic diagrams in the prior art；
Fig. 4 answers daily record data alarm device to constitute structural representation for the embodiment of the present invention；
Fig. 5 is application daily record data alarm method practical application schematic flow sheet of the embodiment of the present invention based on ELK platforms.
Embodiment
The characteristics of in order to the more detailed understanding embodiment of the present invention and technology contents, below to the embodiment of the present invention
Realization be described in detail.
Fig. 1 is the schematic flow sheet of embodiment of the present invention application daily record data alarm method, as shown in figure 1, the present invention is real
The application daily record data alarm method for applying example is realized based on ELK platforms, is comprised the following steps：
Step 101：Obtain the application daily record data that ELK platforms are gathered；The application daily record data includes applying in fortune
Numerical value of all data at multiple continuous time points in the departure date；
Here, described obtain using daily record data can periodically be obtained, when the cycle can be run according to application
Between set；
Wherein, the application daily record data that the acquisition ELK platforms are gathered is specifically included：Periodically sent out to ELK platforms
Inquiry application log data requests are sent, the inquiry application log data requests include inquiring about default multiple continuous time points
Application daily record data, obtain the application daily record data at default multiple continuous time points that ELK platforms are sent；
Here, the cycle can be set according to using run time, for example：Some is using daily run time
13 hours；Wherein, the high capacity period is continuous 6 hours, therefore, it can set in the high capacity period with 5 minutes
It is the cycle application daily record data to be obtained, is within every 10 minutes in remaining period the cycle application daily record data to be obtained
Take.
Also include before the step 301：Daily record data of the real-time acquisition applications of ELK platforms during running, will be described
The application daily record data of collection is formatted, and each field to the application daily record data sets up index, receives and applies day
After will inquiry request, the application daily record data of inquiry request is transmitted according to the index.
Wherein, as shown in Fig. 2 ELK platforms include：
Log acquisition module Logstash 201, for acquisition applications daily record data, completes Incremental Log transmission and number
According to regular, multithreading collection is supported, it is possible to achieve second level data throughouts up to ten thousand；
Distributed post subscribes to message system Kafka202, for being cached using daily record data；
Here, because number of servers is a lot, it is necessary to subscribe to message system using the distributed post of high-throughput
Kafka202 using daily record data to caching, to improve log acquisition module Logstash 201 performance；Data analysis
Module Elasticsearch 203 is retrieved, distributed and linear expansion is supported in retrieval and polymerization analysis for completing data,
Hundred million DBMSs second level response can be realized；
Data display module Kibana 204, retrieved for providing visualization function there is provided web interface for user,
The daily record data in Elasticsearch203 is analyzed, can more intuitively analysis of key daily record data.
Step 102：Based on preset rules, judge in the application daily record data whether the data of alarm in need, will be true
The alarm data deposit database made；
Wherein, the application that ELK platforms are sent is obtained to all types of data setting threshold values in application daily record data in advance
After daily record data, judge whether all data of application daily record data exceed at default continuous time point described default
Threshold value, the data more than threshold value is defined as the data for needing to alert, the alarm data is stored in database；
Specifically, the threshold value can be according to applying the value of the daily record data in normal operation to be set；For example：Should
It is 50-90 milliseconds used in the value of a normal operating data, then, can be by the higher limit of its normal operation value
(90 milliseconds or 100 milliseconds) are set to the threshold value of the data, i.e., when the data are at default continuous time point (such as 3 or 5
It is individual) value exceed the threshold value, it is determined that the data are alarm data, show using occur in the process of running it is abnormal or
Failure.
In actual applications, the threshold value of the setting can include kind of an alarm triggered function, for example：all(#3)、max(#
3), min (#3), sum (#3), avg (#3) etc., wherein,
#3 characterizes the application daily record data at 3 newest continuous time points；
all(#3):3 newest points all meet threshold condition, it is determined that be alarm data；
max(#3):For 3 newest points, its maximum meets threshold condition, it is determined that be alarm data；
min(#3):For 3 newest points, its minimum value meets threshold condition, it is determined that be alarm data；
sum(#3):For 3 newest points, itself and meet threshold condition, it is determined that be alarm data；
avg(#3):For 3 newest points, its average value meets threshold condition, it is determined that be alarm data；
The threshold condition can be the threshold value set to daily record data, for example：response all(#3)>100,
Continuous 3 times of value for characterizing response is more than 100 milliseconds, it is determined that be alarm data, and the response is characterized and applied daily record
One data of data；
Determining module periodically sends inquiry request to Elasticsearch modules, and request of data passes through
Elasticsearch restful interfaces are completed, the application daily record data at acquisition default multiple continuous time points, and according to
Preset rules judge in the application daily record data whether the data of alarm in need；Wherein, request and response data are
Json forms, for example：
Request data includes：Using daily record data time segment limit and Log data format is applied, such as " gte ":
1473248070565,"lte":1473334470565"format":"epoch_millis""date_histogram":{"fi
eld":"@timestamp","interval":"30m","time_zone":"Asia/Shanghai","min_doc_
count":1,"extended_bounds":{"min":1473248070562,"max":1473334470562。
Response data includes：Specific value data using daily record data in the set time, such as："key_as_
string":"2016-09-08T16:30:00.000+08:00","key":1473323400000,"doc_co unt":10。
Step 103：The alarm data in database is stored in described in reading, the alarm data is sent out using preset configuration
Deliver to destination object；The preset configuration includes calling communication tool interface and sends alarm data；
Wherein, the communication tool includes internet communication instrument, wireless communication facility, wired communication facility；The mesh
Mark means of communication receiving terminal that object is user or person skilled etc.；
In actual applications, the database can use redis databases, set up and indexed according to alarm data field,
Improve alarm data inquiry, read and transmitting efficiency；The service that the preset configuration can use common carrier to provide is sent
Alarm data, for example：Short message, can also use more top communication software to send alarm data, for example：Wechat, can also use electricity
The communication interfaces such as sub- mail send alarm data；The destination object can be received using the alarm data of operation and maintenance personnel
Client, is consulted, for example for related personnel：Mailbox inbox, wechat, short message etc..
Application daily record data alarm method provided in an embodiment of the present invention, obtains the application daily record number that ELK platforms are gathered
According to；Based on preset rules, judge in the application daily record data whether the alarm data of alarm in need, alarm data is stored in
Database；The alarm data stored in reading database, is sent the alarm data to destination object using preset configuration；Such as
This, it is possible to achieve the real-time monitoring of application daily record data, when there is exception or failure using operation, find and send out in time in time
Go out warning information.
Have in the prior art by using ELK (Elasticsearch, Logstash, Kibana) platform to applying daily record
Data are acquired and analyzed, and after application is broken down in the process of running, are put down by related operation maintenance personnel by transferring ELK
The corresponding daily record data of platform, is investigated one by one according to daily record data, further determines that the failure cause of application, solves application event
Barrier.Due to needing operation maintenance personnel to participate in that data are transferred and investigated, occur therefore, it is impossible to fast and efficiently solve application
Failure.
Fig. 4 answers daily record data alarm device to constitute structural representation for the embodiment of the present invention, as shown in figure 4, the present invention is real
Applying example answers the daily record data alarm device to include：
Acquisition module 401, for obtaining the application daily record data that ELK platforms are gathered；The application daily record data includes
Apply numerical value of all data at multiple continuous time points in during running；
Here, described obtain using daily record data can periodically be obtained, when the cycle can be run according to application
Between set；
Determining module 402, for based on preset rules, judge in the application Log Data File whether alarm in need
Data, the alarm data determined；
Database 403, for storing the alarm data determined；
Sending module 404, read described in be stored in alarm data in database, using preset configuration by the alarm number
According to transmission to destination object；The preset configuration includes calling communication tool interface and sends alarm data；
Wherein, the communication tool includes internet communication instrument, wireless communication facility, wired communication facility；
Wherein, acquisition module 401, specifically for periodically sending inquiry application log data requests, institute to ELK platforms
The application daily record data that inquiry application log data requests include inquiring about default multiple time points is stated, ELK platforms is obtained and sends
Default multiple time points application daily record data；The cycle can be set according to using run time；
Determining module 402 is specifically in advance to all types of data setting threshold values, the threshold in application daily record data
Value can obtain the application daily record number that ELK platforms are sent according to applying the value of the daily record data in normal operation to be set
According to rear, judge whether all data of application daily record data exceed the default threshold value at default continuous time point,
The data more than threshold value are defined as to the data for needing to alert, the alarm data is stored in database.
It should be noted that：Each module realize function can refer in earlier figures 3 apply daily record data alarm method phase
Close description and understand, repeat no more here.
Fig. 5 is application daily record data alarm method practical application schematic flow sheet of the embodiment of the present invention based on ELK platforms,
As shown in figure 5, application daily record data alarm method of the embodiment of the present invention based on ELK platforms is actual to can apply to miaow cluck music
APP service end, including below scheme：
Step 501：Real-time acquisition applications daily record data；
The step is gathered and stored by ELK platform logstash modules in real time applies daily record data.
Step 502：Acquisition module will be sent using daily record data to Kafka clusters；
Wherein, a kind of distributed post of high-throughput of Kafka concentrating types subscribes to the single or multiple clothes of message system
Business device, can be handled using all action flow datas produced in running, using message queue to applying daily record data
Enter row buffering, improve acquisition module performance.
Step 503：Acquisition module reads application daily record data from Kafka clusters and is stored in Elasticsearch；
Wherein, the Elasticsearch modules are the search systems based on Lucene, it is possible to achieve apply daily record data
Retrieval and polymerization analysis, its feature has：Distribution, zero configuration, it is automatic find, index auto plate separation, index copy mechanism,
Restful interfaces, multi-data source, automatic search overhead etc..
Step 504：Determining module periodically sends query statement to Elasticsearch clusters, according to preset rules
The data for whether having beyond given threshold in daily record data are judged, if it has, performing step 505；If it did not, performing step
507；
Wherein, inquiry application daily record data instruction periodically is sent to ELK platforms, the inquiry refers to using daily record data
Order includes inquiring about the application daily record data at default multiple continuous time points, obtains default multiple companies that ELK platforms are sent
The application daily record data at continuous time point；The cycle can be set according to using run time, for example：Some application is every
The day operation time is 13 hours, wherein, the high capacity period is continuous 6 hours, therefore, it can set the high capacity time
In section be within 5 minutes the cycle to obtaining using daily record data, every 10 minutes in remaining period are the cycle to applying daily record
Data are obtained；
Wherein, in advance to all types of data setting threshold values in application daily record data, the threshold value can be according to application
The value of daily record data is set in normal operation, is obtained after the application daily record data that ELK platforms are sent, and judgement is described should
With all data of daily record data whether exceed the default threshold value at default continuous time point, by described more than threshold value
Data are defined as the data for needing to alert, and the alarm data is stored in database；
In actual applications, the threshold value of the setting can include kind of an alarm triggered function, for example：all(#3)、max(#
3), min (#3), sum (#3), avg (#3) etc., wherein,
#3 characterizes the application daily record data at 3 newest continuous time points；
all(#3):3 newest points all meet threshold condition and are then defined as alarm data；
max(#3):For 3 newest points, its maximum meets threshold condition and is then defined as alarm data；
min(#3):For 3 newest points, its minimum value meets threshold condition and is then defined as alarm data；
sum(#3):For 3 newest points, itself and meet threshold condition and be then defined as alarm data；
avg(#3):For 3 newest points, its average value meets threshold condition and is then defined as alarm data；
The threshold condition can be the threshold value set to daily record data, for example：response all(#3)>100,
The value for characterizing response is then defined as alarm data for continuous 3 times more than 100 milliseconds, and the response characterizes application daily record number
According to a data.
Step 505：Alarm data is stored in database；
The database can use redis database purchase alarm datas.
Step 506：Sending module sends alarm data to destination object according to alarm mode；
Wherein, sending module according to alarm mode (for example：Short message, APP, Email) sent a warning message to user.
Step 507：Terminate this alarm cycle；
This alarm end cycle, enters next alarm cycle according to preset time.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the shape of the embodiment in terms of the present invention can use hardware embodiment, software implementation or combine software and hardware
Formula.Moreover, the present invention can be used can use storage in one or more computers for wherein including computer usable program code
The form for the computer program product that medium is implemented on (including but is not limited to magnetic disk storage and optical memory etc.).
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Figure and/or block diagram are described.It should be understood that every one stream in flow chart and/or block diagram can be realized by computer program instructions
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
The above, only presently preferred embodiments of the present invention is not intended to limit the scope of the present invention.
Claims (10)
1. one kind application daily record data alarm method, it is characterised in that methods described includes：
Obtain the application daily record data that ELK platforms are gathered；
Based on preset rules, judge in the application daily record data whether the alarm data in need alerted, number will be alerted
According to deposit database；
The alarm data stored in reading database, is sent the alarm data to destination object using preset configuration.
2. according to the method described in claim 1, it is characterised in that the application daily record data that the acquisition ELK platforms are gathered
Before, including：
Application daily record data of the real-time acquisition applications of ELK platforms during running, the application daily record data of the collection is carried out
Format, the field to the application daily record data sets up index, after receiving using daily record data inquiry request, according to described
Application daily record data corresponding with the inquiry request is transmitted by index.
3. according to the method described in claim 1, it is characterised in that the application daily record data that the acquisition ELK platforms are gathered,
Including：
Periodically sent to ELK platforms and apply daily record data inquiry request, the application daily record data inquiry request includes looking into
The application daily record data at default multiple continuous time points is ask, default multiple continuous times that ELK platforms are sent are obtained
The application daily record data of point.
4. according to the method described in claim 1, it is characterised in that described to be based on preset rules, judge the application daily record number
According in file whether the data of alarm in need, by alarm data be stored in database in, including：
In advance to the data setting threshold value of each type in application daily record data, the application daily record data that ELK platforms are sent is obtained
Afterwards, judge whether each categorical data exceedes the default threshold at default continuous time point in the application daily record data
Value, the data more than threshold value is defined as the alarm data for needing to alert, the alarm data is stored in database.
5. method according to claim 4, it is characterised in that the threshold value is according to applying the daily record data in normal operation
Value setting.
6. according to the method described in claim 1, it is characterised in that the preset configuration includes calling communication tool interface to send out
Send alarm data.
7. one kind application daily record data alarm device, it is characterised in that described device includes：
Acquisition module, for obtaining the application daily record data that ELK platforms are gathered；The application daily record data includes applying in fortune
Numerical value of all data in Each point in time in the departure date；
Determining module, for based on preset rules, judge in the application Log Data File whether the alarm of alarm in need
Data, determine alarm data；
Database, for storing alarm data；
Sending module, read described in be stored in alarm data in database, the alarm data is sent according to preset configuration
To destination object；The preset configuration includes calling communication tool interface to send alarm data.
8. device according to claim 5, it is characterised in that the acquisition module, specifically for：
Periodically sent to ELK platforms and apply daily record data inquiry request, the application daily record data inquiry request includes looking into
The application daily record data at default multiple time points is ask, the application daily record at default multiple time points that ELK platforms are sent is obtained
Data.
9. device according to claim 5, it is characterised in that the determining module, specifically for：
In advance to the data setting threshold value of each type in application daily record data, the application daily record data that ELK platforms are sent is obtained
Afterwards, judge whether described each categorical data of application daily record data exceedes the default threshold at default continuous time point
Value, the data more than threshold value is defined as the alarm data for needing to alert, the alarm data is stored in database.
10. the device according to claim 7 or 9, it is characterised in that in advance to applying daily record data in the determining module
In each type data setting threshold value according to applying the value of the daily record data in normal operation to be set.
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| CN110677271A (en) * | 2019-08-16 | 2020-01-10 | 平安科技（深圳）有限公司 | Big data alarm method, device, equipment and storage medium based on ELK |
| CN110677271B (en) * | 2019-08-16 | 2022-06-24 | 平安科技（深圳）有限公司 | Big data alarm method, device, equipment and storage medium based on ELK |
| CN110990223A (en) * | 2019-11-27 | 2020-04-10 | 中诚信征信有限公司 | Monitoring alarm method and device based on system log |
| CN111581054A (en) * | 2020-04-30 | 2020-08-25 | 重庆富民银行股份有限公司 | ELK-based log point-burying service analysis and alarm system and method |
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