CN108390782A - A kind of centralization application system performance question synthesis analysis method - Google Patents
A kind of centralization application system performance question synthesis analysis method Download PDFInfo
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- CN108390782A CN108390782A CN201810146227.5A CN201810146227A CN108390782A CN 108390782 A CN108390782 A CN 108390782A CN 201810146227 A CN201810146227 A CN 201810146227A CN 108390782 A CN108390782 A CN 108390782A
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- 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
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- 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
- H04L41/14—Network analysis or design
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- 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
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- 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
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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Abstract
The invention discloses a kind of centralized application system performance question synthesis analysis methods, include the following steps：S1, the performance indicator, alarm exception and the LOG daily records that will be dispersed in each monitoring system carry out unified acquisition；S2, non-structured LOG daily records, performance indicator are resolved to structured message, and is sorted out using data processing module；S3, the data after classification are stored；S4, module is presented using data, data count and summarize；S5, the end-to-end level that module is presented using data show function, quickly screen each hierarchical data being out of order in the period；S6, the alarm data or abnormal data for checking each level find out atom alarm or exception information, and reject derivative alarm or exception information, find out question classification.The present invention can be acquired by uniform data, Data Integration is handled, uniform data is presented, and solve the problems, such as that current data dispersion, partial data specialization requirement is high, data analysis is not efficient.
Description
Technical field
The present invention relates to a kind of system performance information analysis method more particularly to a kind of centralized application system performance problems
Comprehensive analysis method.
Background technology
The performance issue of application system relates generally to host in many levels, such as system, database, network, centre
Part, storage etc. are relevant.When performance issue occurs for application system, the front end applications that can cause user's interaction are abnormal, influence
User perceives.Under normal circumstances, in the design and operational process of one large-scale application system, the component of every aspect can be directed to
It disposes independent monitoring system and configures alarm, but can generally use the special monitoring of the class component for the monitoring of different components
Product, and safeguarded respectively by different team or manufacturer.Due to the monitoring of each component, alarm log and performance monitoring data point
It is dispersed in different monitoring system, and different components and monitoring are relevant highly professional, non-those skilled in the art are more difficult.Cause
This, above-mentioned present situation is analyzed the performance issue of application system progress on the whole and fault location is made troubles.
For example, when the excessively high problem of load-balancing device (such as NGINX hosts) CPU usage of certain system, then exist
For occurring associated aspect of performance alarm in the special monitoring system of the component, at this moment load-balancing device cannot be timely
Forward process user asks, and the system front end is caused the performance issue of page response time-out occur.At this point, CPU usage is excessively high
Host performance alarm appear in host monitor operational system, and the application performance of page response time-out alert occur from
In application performance monitoring system, this two sets of monitoring systems safeguard that the warning information respectively generated does not have yet by different O＆M team
It is pushed in other side's monitoring system.Liang Ge team carries out independent analysis when problem occurs, and is unfavorable for application system
The whole of performance issue judges, or even can not determine question classification because of holiday warning information, causes fault recovery
Time is uncontrollable.
Existing general processing method is as follows：
1, each component maintenance team carries out case study to each level soft and hardware equipment that application system is related to.
2, it specially arranges team to summarize each maintenance team's analysis report, and combines report orientation problem root.
Therefore existing processing method has the disadvantage that：
1, the original monitoring data of application system various components is dispersed in separate monitoring system, the analysis of problem
Positioning needs the collaboration of each O＆M team, directly and cannot quickly locate, analyze application performance problems reason, whole flow process is time-consuming
It is long, link up it is of high cost.
2, each monitoring system is using complexity, and technical threshold is higher, and a large amount of manual types is needed to carry out processing analysis.Together
When, non-those skilled in the art are difficult to understand the data of monitoring output, need to cause repeated work on behalf of checking by those skilled in the art.
3, data can not directly be shared between each monitoring system.When performance issue occurs, each O＆M team often consumes
Plenty of time searches reason in self maintained system, but there may be the alarms with other monitoring systems to work as problem true cause
In.
Invention content
Technical problem to be solved by the invention is to provide a kind of centralized application system performance question synthesis analysis method,
It can be presented by uniform data acquisition, Data Integration processing, uniform data, solve current data dispersion, partial data profession
Change and requires problem high, that data analysis is not efficient.
The present invention is to solve above-mentioned technical problem and the technical solution adopted is that provide a kind of centralized application system performance
Question synthesis analysis method, includes the following steps：S1, data acquisition：It will be dispersed in performance indicator in each monitoring system, accuse
Alert abnormal and LOG daily records carry out unified acquisition, and are transmitted to data processing module；S2, will be non-structural using data processing module
The LOG daily records of change, performance indicator resolve to structured message, and according to CMDB configuration informations, by the data after acquisition parsing into
Row is sorted out；S3, data storage：Interworking Data processing module stores the data after classification；S4, mould is presented using data
Block carries out statistics to data and summarizes, and data carry out end-to-end hierarchical data according to affiliated application system and show, and provide self-defined
Data exhibiting and data quick search function；S5, garbled data：The end-to-end level that module is presented using data shows function,
Quickly screen each hierarchical data being out of order in the period；S6, analytical conclusions：Check the alarm data or abnormal data of each level,
Atom alarm or exception information are found out, and rejects derivative alarm or exception information, finds out question classification.
Above-mentioned centralized application system performance question synthesis analysis method, wherein the step S1 includes：S11：Pass through
Lightweight client in each host, by the original LOG daily records being stored in host and performance indicator acquisition hair
It is sent to data processing module, and mode is merged to multiline text present in daily record original contents and is handled；S12：Unified day
Phase format is YYYY-MM-DD HH:MI:SS.SSS；S13：By changing program of supervisory control system, it will be dispersed in each monitoring system and work as
In abnormality alarming information data processing module is sent to by the format of JSON；S14：It will by the snmp protocol of the network equipment
It is dispersed in network equipment daily record and is sent to data processing module.
Above-mentioned centralized application system performance question synthesis analysis method, wherein the step S2 includes：By a line master
Machine daily record resolves to：Five logging time, logging level, daily record memonic symbol, daily record original contents fields；And according to the number of acquisition
According to IP address, it is associated with CMDB repository information, is sorted out according to the application system belonging to data negative to client layer, network layer, NGINX
Carry equalizing layer, WEB server layer, application-server layer or database layer.
Above-mentioned centralized application system performance question synthesis analysis method, wherein the step S3 includes：After classification
Data establish different indexes according to different type and stored；Simultaneously data fragmentation is cut, to the data after fragment into
Row backup copy, and store and arrive different memory nodes.
Above-mentioned centralized application system performance question synthesis analysis method, wherein the step S4 includes：S41, data
Pretreatment：I. data are carried out statistics according to the time to summarize, obtains CPU usage average value and daily record ERROR in a certain period
The record sum of rank；Ii. according to preset failure Decision Tree Rule, mass data is filtered；When there is application service
When pent alarm, if having found the daily record that corresponding host is restarted in the period failure decision tree, can directly it sentence
The alarm that the service is closed of breaking is to be restarted to cause by host；S42, end-to-end data are unified to be presented：Data that treated are according to institute
The end-to-end level of application system of category is unified in an interface and presents, so that user carries out fast browsing data；It is S43, self-defined
Data exhibiting：Using customized block diagram, pie chart or line chart, data exhibiting is carried out.
The present invention, which compares the prior art, following advantageous effect：Centralization application system performance problem provided by the invention
Comprehensive analysis method, the performance indicator by each hierarchy component of quasi real time collection and component daily record, are gone forward side by side by the storage of daily record
Row excavation is handled, and application performance key index and daily record is uniformly presented in WEB front-end, promotes application system performance case study
Efficiency solves the problems, such as that current data dispersion, partial data specialization requirement is high, data analysis is not efficient.
Description of the drawings
Fig. 1 is the centralized application system performance question synthesis analysis system configuration diagram of the present invention；
Fig. 2 is the circuit theory schematic diagram of data acquisition module of the present invention；
Fig. 3 is the circuit theory schematic diagram of data processing module of the present invention；
Fig. 4 is the circuit theory schematic diagram of data memory module of the present invention；
Fig. 5 is data of the present invention presentation and quick-searching schematic diagram；
Fig. 6 is data screening of the present invention and analysis schematic diagram；
Fig. 7 is summing up experience of the present invention, and files analysis report and update the data presentation schematic diagram.
Specific implementation mode
The invention will be further described with reference to the accompanying drawings and examples.
Fig. 1 is the centralized application system performance question synthesis analysis system configuration diagram of the present invention.
Fig. 1 is referred to, centralization application system performance question synthesis analysis system provided by the invention is broadly divided into data
Prepare, data analysis and end (filing) three phases, wherein data preparation include：Acquisition module, data processing module, storage
Module is presented in module.
Centralization application system performance question synthesis analysis method of the invention, main processes are as follows：
One, data preparation
1, data acquire：It will be dispersed in that performance indicator in each monitoring system, alarm is abnormal, daily record LOG is unified acquires,
It is transmitted to data processing module.
2, data processing：The data such as non-structured LOG daily records, performance indicator are carried out resolving to structured message, and
According to CMDB configuration informations, the data of acquisition are sorted out.
3, data store：Data are carried out High Availabitity storage by Interworking Data processing module.
4, data are presented：Statistics is carried out to data to summarize, data carry out end-to-end hierarchical data according to affiliated application system
Show, provide self-defining data show, two big function of data quick search, support user carry out application performance quickly analyze.
Two, data analysis
1, garbled data：The end-to-end level that module is presented using data shows function, and quickly screening was out of order in the period
Each hierarchical data.
2, analytical conclusions：The alarm data or abnormal data for checking each level are found out atom alarm or exception information, are rejected
Derivative alarm or exception information, find out question classification.
Three, terminate
Summing up experience, and file analysis report and update failure decision tree, analysis method.
The specific implementation of the present invention is illustrated in detail below
One, data preparation
1, data acquire
A) the original LOG daily records being stored in host, performance indicator, using passing through the light weight in each host
Grade client, acquisition are sent to data processing module.If capture program is needed, to daily record original contents, there are the feelings of multiline text
Condition then uses multirow to merge mode and handles, such as is merged to tomcat daily record call stack information, and multiline text is merged into
One.
B) unified date format is YYYY-MM-DD HH:MI:SS.SSS, such as 2017-12-03 23：43：53.125.
C) the abnormality alarming information being dispersed in each monitoring system, by changing program of supervisory control system, by abnormality alarming
Information is sent to data processing module by the format of JSON.
D) it is dispersed in the daily record of each network equipment, by the snmp protocol of the network equipment, network equipment daily record is sent to
Data processing module.
The Frame Design of the data acquisition module of the present invention is as shown in Fig. 2, the data content of acquisition is as follows：
2, data processing
A) non-structured daily record LOG data are carried out resolving to structured message, such as a line host log is parsed
For：Five logging time, logging level, daily record memonic symbol, daily record original contents fields.Wherein logging level uses keyword,
Daily record rank (info, warn, error etc.).
B) according to the data IP address of acquisition, it is associated with CMDB repository information, is sorted out according to the application system belonging to data
To each level (client layer, network layer, NGINX load balancing layer, WEB server layer, application-server layer, database layer), example
If host layer performance data can be classified as database host, NGINX hosts, application server host, as shown in Figure 3.
3, data store
A) function of the module is to establish different indexes according to different type and carry out high the data of data processing module
Storage, such as one index of host performance data, one index of host log can be used.
B) using the fragment clone method of index：Fragment：Data fragmentation is cut, and the data progress after fragment is standby
Part replicate, and store arrive different memory nodes, ensure when some memory node failure, can data from other nodes also
Original reaches the high availability purpose of data, as shown in Figure 4.
4, data are presented
The function of the module be will parse sort out after data, calculating pretreatment is carried out according to certain rule, will apply be
End-to-end each hierarchical data of uniting uniformly shows (client layer, network layer, NGINX load balancing layer, WEB server layer, application service
Device layer, database layer), while the function of User Defined data exhibiting, data quick-searching being provided.
A) data prediction：
I. data according to the time count and summarize, such as CPU usage average value, daily record in the period in the period
The record sum of ERROR ranks.
Ii. according to the failure Decision Tree Rule of certain predetermined, mass data is filtered, user does not have to check all numbers
According to and reducing the professional threshold of data, such as when there is the pent alarm of application service, in failure decision tree
The daily record that corresponding host is restarted in the period is found, then can determine whether that the alarm that the service is closed is to be restarted to cause by host, without
With going to check other daily record datas again.
B) end-to-end data are unified is presented：
Data that treated are unified in an interface and present, reach user according to the affiliated end-to-end level of application system
Fast browsing data.
C) self-defining data shows：
User can be with self-defined all kinds of charts：The charts such as block diagram, pie chart, line chart carry out data exhibiting.
D) data quick-searching：
It is uniformly acquired due to being dispersed in the data in each monitoring system before, it is unified to store, it is unified to present, so with
Family can be with quick-searching Various types of data, and does not have to remove retrieval and inquisition across monitoring system, as shown in Figure 5.
Two, data analysis
1, garbled data
The end-to-end level that module is presented using data shows function, quickly screens each number of levels being out of order in the period
According to.
2, analytical conclusions
The alarm data or abnormal data for checking each level find out atom alarm or exception information, reject derivative alarm
Or exception information, question classification is found out, as shown in Figure 6.
Three, terminate
Summing up experience, and file analysis report and update the data and present in module about preprocessing rule and analysis side
Method, as shown in Figure 7.
In conclusion all kinds of monitoring of dispersion are carried out unified acquisition with alarm data, unified storage, are in uniformly by the present invention
It is existing, the efficiency of application performance problems analysis is improved, and reduce and carrying out data point using the independent monitoring system for each component
Cause the risk of analytical conclusions mistake when analysis.The present invention, by the process automation, matches confidence in data processing module according to CMDB
Collected data are carried out classification processing by breath according to affiliated application system level grade, it is no longer necessary to which O＆M team carries out by hand
Classification is handled.In addition, it is professional higher for the monitoring system of each component of application system at present, need professional on behalf of looking into
It sees；The present invention uniformly pre-processes data, and shows according to the sequence of each level of application system, reduces monitoring data point
The professional threshold of analysis improves application performance problems analysis efficiency.Compared with prior art, the present invention specific advantage is as follows：
1. the present invention can greatly improve positioning and the treatment effeciency of performance issue, it was reduced to from 10 minutes from 1-2 hours
Manage the time.
2. after pretreatment, each operation maintenance personnel needs professional to analyze and carry before can clearly viewing
The data taken reduce the overlapping investment of personnel.
3. the present invention carries out unified integration by the data in each monitoring system are dispersed in before, reduce for each component
Risk of the analyzing and positioning less than question classification is carried out using independent monitoring system.
Although the present invention is disclosed as above with preferred embodiment, however, it is not to limit the invention, any this field skill
Art personnel, without departing from the spirit and scope of the present invention, when can make a little modification and it is perfect, therefore the present invention protection model
It encloses to work as and is subject to what claims were defined.
Claims (5)
1. a kind of centralization application system performance question synthesis analysis method, which is characterized in that include the following steps：
S1, data acquisition：Performance indicator, alarm exception and the LOG daily records that will be dispersed in each monitoring system are uniformly adopted
Collection, and it is transmitted to data processing module；
S2, non-structured LOG daily records, performance indicator are resolved into structured message using data processing module, and according to
CMDB configuration informations, the data after acquisition is parsed are sorted out；
S3, data storage：Interworking Data processing module stores the data after classification；
S4, module is presented using data, data count and summarize, data carry out end-to-end level according to affiliated application system
Data exhibiting, and self-defining data is provided and is showed and data quick search function；
S5, garbled data：The end-to-end level that module is presented using data shows function, and quickly screening is out of order each in the period
Hierarchical data；
S6, analytical conclusions：The alarm data or abnormal data for checking each level are found out atom alarm or exception information, and are rejected
Derivative alarm or exception information, find out question classification.
2. centralization application system performance question synthesis analysis method as described in claim 1, which is characterized in that the step
S1 includes：
S11：By the lightweight client in each host, by the original LOG daily records being stored in host and property
Energy index collection is sent to data processing module, and is merged at mode to multiline text present in daily record original contents
Reason；
S12：Unified date format is YYYY-MM-DD HH:MI:SS.SSS；
S13：By changing program of supervisory control system, the lattice that the abnormality alarming information that will be dispersed in each monitoring system passes through JSON
Formula is sent to data processing module；
S14：Network equipment daily record, which is will be dispersed in, by the snmp protocol of the network equipment is sent to data processing module.
3. centralization application system performance question synthesis analysis method as described in claim 1, which is characterized in that the step
S2 includes：
A line host log is resolved to：Five logging time, logging level, daily record memonic symbol, daily record original contents fields；And
According to the data IP address of acquisition, it is associated with CMDB repository information, is sorted out to client layer, net according to the application system belonging to data
Network layers, NGINX load balancing layer, WEB server layer, application-server layer or database layer.
4. centralization application system performance question synthesis analysis method as described in claim 1, which is characterized in that the step
S3 includes：
Different indexes is established to the data after classification according to different type to store；Data fragmentation is cut simultaneously, to dividing
Data after piece carry out backup copy, and store and arrive different memory nodes.
5. centralization application system performance question synthesis analysis method as described in claim 1, which is characterized in that the step
S4 includes：
S41, data prediction：
I. data are carried out statistics according to the time to summarize, obtains CPU usage average value and daily record ERROR ranks in a certain period
Record sum；
Ii. according to preset failure Decision Tree Rule, mass data is filtered；When there is the pent alarm of application service
When, if having found the daily record that corresponding host is restarted in the period failure decision tree, it can directly judge that the service is closed
Alarm be to be restarted to cause by host；
S42, end-to-end data are unified to be presented：
Data that treated are unified in an interface and present according to the affiliated end-to-end level of application system, so that user carries out
Fast browsing data；
S43, self-defining data show：Using customized block diagram, pie chart or line chart, data exhibiting is carried out.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109542960A (en) * | 2018-10-18 | 2019-03-29 | 国网内蒙古东部电力有限公司信息通信分公司 | A kind of data analysis domain system |
| CN110677304A (en) * | 2019-10-11 | 2020-01-10 | 广州趣丸网络科技有限公司 | Distributed problem tracking system and equipment |
| CN112052139A (en) * | 2020-08-31 | 2020-12-08 | 河南中烟工业有限责任公司 | Application program consumption and quality evaluation system |
| CN112291302A (en) * | 2020-09-28 | 2021-01-29 | 北京京东尚科信息技术有限公司 | Internet of things equipment behavior data analysis method and processing system |
| CN116991619A (en) * | 2023-08-02 | 2023-11-03 | 中国舰船研究设计中心 | Integrated management system and method for digital model of ship information system |
-
2018
- 2018-02-12 CN CN201810146227.5A patent/CN108390782A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109542960A (en) * | 2018-10-18 | 2019-03-29 | 国网内蒙古东部电力有限公司信息通信分公司 | A kind of data analysis domain system |
| CN110677304A (en) * | 2019-10-11 | 2020-01-10 | 广州趣丸网络科技有限公司 | Distributed problem tracking system and equipment |
| CN112052139A (en) * | 2020-08-31 | 2020-12-08 | 河南中烟工业有限责任公司 | Application program consumption and quality evaluation system |
| CN112052139B (en) * | 2020-08-31 | 2022-12-27 | 河南中烟工业有限责任公司 | Application program consumption and quality evaluation system |
| CN112291302A (en) * | 2020-09-28 | 2021-01-29 | 北京京东尚科信息技术有限公司 | Internet of things equipment behavior data analysis method and processing system |
| CN116991619A (en) * | 2023-08-02 | 2023-11-03 | 中国舰船研究设计中心 | Integrated management system and method for digital model of ship information system |
| CN116991619B (en) * | 2023-08-02 | 2024-03-12 | 中国舰船研究设计中心 | Integrated management system and method for digital model of ship information system |
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