CN104636237A - Monitoring method for Web application system service performance based on Java platform - Google Patents
Monitoring method for Web application system service performance based on Java platform Download PDFInfo
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Abstract
The invention discloses a monitoring method for Web application system service performance based on a Java platform. The method comprises the following steps: (1) conducting real-time collection to Web application system service performance data through a network bypass method; (2) presetting service indicator alarm types and an alarm threshold value, and if a service exceeding the alarm threshold value is found, conducting exceptional situation alarming; (3) conducting classified statistics to the collected service performance data through a bed-delineating method and a transverse domain partition method. According to the method, the service performance data are collected in real time through the network bypass method; the service indicator alarm types and the alarm threshold value are preset to conduct exceptional situation treatment; statistics and analysis are conducted to the collected service performance data by the adoption of the bed-delineating method and the transverse domain partition method, so that user real experience data can be collected actively, service performance can be alarmed in advance, and service logic and sql problem are located rapidly, and the service processing efficiency of existing performance problems is improved greatly.
Description
Technical field
The present invention relates to a kind of software systems service feature monitoring method, particularly relate to a kind of Web application system service feature monitoring method based on Java platform.
Background technology
Along with the IT application complicacy of day by day increasing sharply, enterprise faces business demand simultaneously and changes faster, user expects to continue to rise, need the impact of the aspects such as higher cost performance, under the impact of these factors, the possibility that IT application such as hydraulic performance decline occurs in operational process or serves the fault such as unavailable increases greatly, thus affects the normal operation of business service.
Regrettably, enterprise IT O&M rests on the management mode of " centered by resource " for a long time, concern be availability and the technology properties index of IT resource, IT user behavior and service feature (experience situation) are but known nothing.Such as user is from where, and done what operation, run into which mistake, business processing consumption how long, and service feature is consuming time at network, or server (programmed logic and SQL logic) ... Deng, so these Consumer's Experience seem particularly important.Therefore effectively manage these application, promote Consumer's Experience, need to carry out ensureing in many aspects such as system performance, effective utilization, availability monitorings and promote, be business development in the urgent need to.
For large-scale application system, business function module at least tens, each functional module is according to business actual conditions, performance presents and there are differences, how effective automatic monitoring and analysis management are carried out to business module performance, understand real user to experience, lack problem fine positioning and analysis to the bad business of Consumer's Experience, main point following three kinds of modes perform:
1) user reports barrier mode: depend on user and report barrier, as user use a certain function or perform a certain operation respond slack-off, exceed many during execution time compared with normal.Report barrier to service maintenance department by user, maintainer notifies that developer and database personnel carry out follow-up process to performance issue business.
2) log recording mode: in applied system design, development phase, or before Added Business is formally reached the standard grade, designer, developer etc. are by means of the standard logs form set, record consuming time to each step of business function point, by log recording mode supervision and analysis service process performance; In system commencement of commercial operation process, when finding that business function is slower, by the reason that manual analysis log mode passive analysis service feature is poor, advantage can obtain user's actual experience data.
3) active analog form: initiatively simulation obtains transactional availability and response time by regularly performing predefine script analog subscriber access application system, initiatively analogue means disposed by general needs near user side position, advantage can continue for 7x24 hour carry out monitoring to application incessantly and can pinpoint the problems early than user, maintainer relies on each step of personal experience's Manual analysis business situation consuming time, as unreasonable in judged service logic design, cause poor-performing, notify that developer revises service logic and backstage SQL.
The major defect that prior art exists is as follows:
1) barrier is reported by user, at this moment business is affected, it is individual user's performance issue, or ubiquity is poor, cannot unify to judge, at this moment service feature analysis takes passive mode to carry out end-to-end analytic process, and often problem is really resolved needs to spend the plenty of time, causes immeasurable impact to business.
2) log recording mode, although can each step behavior pattern of register system business function very well, but there is good log recording mode at the beginning of depending on system, if there is no respective standard log recording mode, then need to spend a large amount of manpower and financial resources, transform system, effect is unsatisfactory.
3) initiatively analog form, usually only for carrying out detection analysis to key business performance in reality, if cover full-service function, extensive detection can EVAC (Evacuation Network Computer Model) overall performance, and what obtain is not that real user experience data lacks business diagnosis and is worth.
4) when slow phenomenon appears in system business overall performance, database personnel, developer, middleware personnel separately responsible technology carry out performance investigation, belong to the way of looking for a needle in a haystack, need to spend a large amount of manpower and materials to go to location and analyze, lacking effective ment goes to location to be which request and backstage SQL exist performance problems affect to business overall performance situation, institute is in investigating afterwards, and effect is also not obvious.
Therefore, although prior art has in advance and thing latter two emergency processing mode, but all existing defects, cannot precisely monitor (real user experience information) service feature, service feature location needs to spend a large amount of manpower with analysis, the time processes, and there is certain passivity and blindness.O&M practical experiences a large amount of at present shows, even if when backend resources is monitored fairly perfect, the problem of quite a lot of ratio is still had still first to be found by user and report, not only reduce the satisfaction of user, also make IT maintenance work quite passive, therefore be necessary that finding a kind of appropriate technology means directly monitors service feature, to make up deficiency and the defect of existing IT monitoring resource instrument, help enterprise to grasp behavior and the experience situation of IT terminal user comprehensively, promote that IT O&M service-oriented and user oriented are experienced.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of Web application system service feature monitoring method based on Java platform, can initiatively gather user's actual experience data, service feature is given warning in advance, and quick position service logic and sql problem, greatly promote the business processing efficiency that there is performance issue.
The present invention solves the problems of the technologies described above the technical scheme adopted to be to provide a kind of Web application system service feature monitoring method based on Java platform, comprises the steps: a) first to carry out Real-time Collection to Web application system service feature data acquisition network bypass mode; B) pre-set business index alarm type and alarm threshold value, finds that there is the business exceeding alarm threshold value, carries out abnormal conditions alarm; C) method in longitudinal layered and horizontal point territory is adopted to carry out statistic of classification to the service feature data gathered.
The above-mentioned Web application system service feature monitoring method based on Java platform, wherein, described step a) comprises following process: a1) adopt application server switch to be carried out being mirrored to another one port by Web Application Server port; A2) port of mirror image is connected with bypass snooping equipment server; A3) utilize bypass snooping equipment server automatically to collect all message informations of application server switch, and put information in storage system database.
The above-mentioned Web application system service feature monitoring method based on Java platform, wherein, described message information comprises the applied function module of user's access, cookie/session-id, GET/POST parameter, client ip, server ip, visit capacity, browser type, server answer code, server response time and network latency.
The above-mentioned Web application system service feature monitoring method based on Java platform, wherein, described step b) based on system monitoring dimension definition operational indicator alarm type, described operational indicator alarm type comprises application performance killer rank, the slowest page rank, system resource overhead rank and application large objects rank.
The above-mentioned Web application system service feature monitoring method based on Java platform, wherein, described step b) based on districts and cities' operation dimension definition operational indicator alarm type, described operational indicator alarm type comprises real-time system total satisfactory grade, districts and cities' total satisfactory grade, the overall error rate of real-time system, the distribution of customer access area territory, the page fault classification made a mistake and ratio.
The above-mentioned Web application system service feature monitoring method based on Java platform, wherein, described step b) based on user awareness dimension definition operational indicator alarm type, described operational indicator alarm type comprises service response time, interface processing time, service stability and service operability, and whether exceed alarm threshold value by more corresponding SQL statement is consuming time, carry out abnormal conditions alarm.
The above-mentioned Web application system service feature monitoring method based on Java platform, wherein, described step c) in longitudinal layeredly comprise hardware layer, podium level and application layer, a described transverse direction point territory comprises inquiry field, interface territory, process domain, represents territory, framework territory and demand territory.
The above-mentioned Web application system service feature monitoring method based on Java platform, wherein, the URL also comprised by asking user carries out identification definition business relations, statistical service code relates to response time of function or method, SQL statement is consuming time, quick identification with review service feature bottleneck, and the service feature bottleneck collected is filtered, finally form closed operation flow and carry out follow-up optimization process.
The present invention contrasts prior art following beneficial effect: the Web application system service feature monitoring method based on Java platform provided by the invention, by adopting network bypass mode Real-time Collection service feature data; Pre-set business index alarm type and alarm threshold value carry out abnormality processing; The method in longitudinal layered and horizontal point territory is adopted to carry out statistical study to the service feature data gathered, thus can initiatively gather user's actual experience data, service feature is given warning in advance, and quick position service logic and sql problem, greatly promote the business processing efficiency that there is performance issue.
Accompanying drawing explanation
Fig. 1 is the Web application system service feature monitoring schematic flow sheet that the present invention is based on Java platform
Fig. 2 is the Web application system service feature monitoring system layering schematic diagram that the present invention is based on Java platform;
Fig. 3 is the connection diagram that the present invention adopts network bypass mode Real-time Collection related service performance data;
Fig. 4 is that the present invention adopts the method in layering point territory to carry out statistic of classification schematic diagram to the service feature data gathered.
Embodiment
Below in conjunction with drawings and Examples, the invention will be further described.
Fig. 1 is the Web application system service feature monitoring schematic flow sheet that the present invention is based on Java platform; Fig. 2 is the Web application system service feature monitoring system layering schematic diagram that the present invention is based on Java platform.
Refer to Fig. 1 and Fig. 2, the Web application system service feature monitoring method based on Java platform provided by the invention comprises the steps:
Step S1: first Real-time Collection is carried out to Web application system service feature data acquisition network bypass mode;
Step S2: pre-set business index alarm type and alarm threshold value, finds that there is the business exceeding alarm threshold value, carries out abnormal conditions alarm;
Step S3: adopt the method in longitudinal layered and horizontal point territory to carry out statistic of classification to the service feature data gathered; Describedly longitudinal layeredly comprise hardware layer, podium level and application layer, a described transverse direction point territory comprises inquiry field, interface territory, process domain, represents territory, framework territory and demand territory.
Web application system service feature monitoring method based on Java platform provided by the invention, is mainly divided into three layers to realize, each layer specific implementation and function as follows:
1) acquisition layer:
The correlated performance data of this module in charge to entire system and key business carries out Real-time Collection, for large business system, business access itself is busier, the all business module performance datas of frequent collection, business certainly will be disturbed normally to use, network bypass can be utilized to intercept technology and carry out collection and can solve problems very well.
Network bypass intercept technology mainly by SPAN pattern (switch ports themselves mirror image) or TAP pattern (network shunt device copies) need monitor application system network traffics (comprising uplink and downlink flow) access be responsible for specially in the bypass snooping equipment of packet parsing, based in B/S framework applications, when user's access application, user's request can pass to WEB server by networking, then WEB server processes user's request, and result is returned to client, as shown in Figure 3, the present invention adopts network bypass mode to carry out Real-time Collection to comprise following process:
A1) application server switch is adopted to be carried out being mirrored to another one port by Web Application Server port;
A2) port of mirror image is connected with bypass snooping equipment server;
A3) bypass snooping equipment server is utilized automatically to collect all message informations of application server switch, and put information in storage system database, described message information comprises the applied function module of user's access, cookie/session-id, GET/POST parameter, client ip, server ip, visit capacity, browser type, server answer code, server response time and network latency.Described message information, bound by the Business Name corresponding with actual core business logic request URL, filter inessential request URL address, pay close attention to emphatically the visit capacity of key business, server answer code, server response time and network latency.
The present invention intercepts technology by network bypass the mutual message of conveniently catching between user and WEB server can analyze Consumer's Experience behavior, and can have a clear understanding of user and each mutual details of WEB server.Such as user have accessed that function, cookie/session-id, GET/POST parameter, client ip, server ip, visit capacity, browser type, server answer code, server response time, network latency etc. of application.By carrying out multi dimensional analysis to these data, just can provide the Consumer's Experience situation and various valuable multi dimensional analysis form that obtain application, business of can also excavating further except having break-up value to IT O&M is worth.
2) alarm layer:
By to the definition of operational indicator alarm and the definition of alarm threshold value, find that there is the business exceeding threshold values KPI index, carry out abnormal conditions alarm, such as so-and-so business average response time produces alarm event when being greater than N second, support alarm association and alarm index user-defined m odel simultaneously, support self-defined alarm.
3) analysis module:
One, business diagnosis angle
Key Performance Indicator (KPI) is the measurable metric for Analytical system performance quality, often can assess KPI within a period of time.This point is extremely important, if the quality of performance relies on merely the sense organ of user, Optimization Work will be made to mire down in mud.Optimizing index that is quantifiable, that can refer to is the important measure that optimization achievement gets the nod, and is also the driving source of performance optimization.So how to formulate the performance KPI obtaining each side's accreditation, by the best practices of extensively approval in industry specific area, formulate the KPI dimension that a series of Consumer's Experience is relevant, mainly comprise the contrast of efficiency, benefit and total satisfactory grade and service quality expectations, assess web system performance:
1) system monitoring dimension
Application performance killer rank, the slowest page rank, system resource overhead rank, real-time system performance evaluation, the monitoring of application large objects, middleware and database performance monitoring etc.
2) districts and cities' operation dimension
Real-time system total satisfactory grade, districts and cities' total satisfactory grade, districts and cities' key business satisfaction, the overall error rate of real-time system, the distribution of customer access area territory, the page fault classification made a mistake and ratio, customer satisfaction real-time tendency are analyzed, user behavior analysis.
3) user awareness dimension
Service response time, interface processing time, service stability, service operability etc.Different and three monitoring dimensions monitoring practical business behavior pattern above according to development language, type of service, a variety of performance index of definable.Usual in the industry less than 2 seconds is outstanding using 2/5/8 as the separation of performance quality, and 2-5 second is good, 5-8 second for accepting, not tolerable in more than 8 seconds.
Two, code analysis angle
Mention above and use network bypass to intercept technology, mainly service feature is monitored, can be closely linked with business conduct, but can not be real carry out fault analysis and location, code level can not analyze, and utilize java platform JVM virtual machine (agent) agent skill group to realize.Under just can revising original application code situation by java agent technology, realize comprising the observability (affairs Traces record) of code rank performance issue, performance bottleneck quick identification and review (service code relates to response time of function or method, SQL statement is consuming time), server performance monitor (thread Profiler) and end to end application performance manage.
Three, layering divides territory, closed-loop optimization angle
Optimize the multiple parts comprising server end, as main frame, storage, operating system, middleware, code, database, sql etc.Problem may be present in many aspects, how should optimization personnel start with? take user awareness as guiding, user only need point out where is it problem, layering is adopted to divide optimization means and the closed-loop optimization flow process in territory, improve effect of optimization and optimization efficiency, refer to Fig. 4, longitudinal layeredly comprise hardware layer, podium level and application layer, a described transverse direction point territory comprises inquiry field, interface territory, process domain, represents territory, framework territory and demand territory.
Layering: the ingredient layering namely longitudinally to application system, usually we are divided into hardware layer, podium level and application layer, first decision problem occurs in there aspect, analyzing and processing is carried out again by the slip-stick artist of different majors, this way can make full use of the professional ability of slip-stick artist, improves and optimizes quality.
Point territory: namely laterally the problem that user proposes is classified by optimization rank, which is Important Problems territory, important scenes territory, common problem territory, similar to the question analysis process method of some identical types, utilize existing Optimization Experience can accelerate issue handling efficiency.
In addition, the present invention URL also comprised by asking user carries out identification definition business relations, statistical service code relates to response time of function or method, SQL statement is consuming time, quick identification with review service feature bottleneck, and the service feature bottleneck collected is filtered, finally form closed operation flow and carry out follow-up optimization process.So-called closed-loop optimization, mainly implement controllable closed-loop optimization flow process to each Optimum Points that user proposes, performance KPI runs through the process of haveing suffered, and optimizes achievement and stands deliberation.
In sum, the present invention proposes a whole set of based on java platform web application system service feature supervision and analysis method, creationary proposition " layering divides territory, closed-loop optimization " mode, take user awareness as guiding, greatly improve accuracy and the promptness of Optimization Work.Concrete advantage is as follows: 1) adopt monitor bypass technology to gather service feature data, need not revise existing application, drop into without the need to additional finance.Identified by the URL asked user, definable business relations, fast and easy, be irrelevant with application, meanwhile fast and easy effectively judges performance consumption reason.2) mode utilizing network bypass monitoring technique to combine with Java platform JVM virtual machine (agent) agent skill group really can be done to monitor with service feature and be closely linked with business, and accomplishes the optimization of code rank end-to-end performance monitoring.3) perfect service feature failure detecting method, can detect the problem that traditional resource monitoring tools cannot find, and can understand existing problems before user report, makes IT O&M more initiatively.4) achieve the direct monitoring to service feature, help client's foundation based on the Service level management system of Consumer's Experience, promote the degree that becomes more meticulous of IT operation management.
Although the present invention discloses as above with preferred embodiment; so itself and be not used to limit the present invention, any those skilled in the art, without departing from the spirit and scope of the present invention; when doing a little amendment and perfect, therefore protection scope of the present invention is when being as the criterion of defining with claims.
Claims (8)
1., based on a Web application system service feature monitoring method for Java platform, it is characterized in that, comprise the steps:
A) first Real-time Collection is carried out to Web application system service feature data acquisition network bypass mode;
B) pre-set business index alarm type and alarm threshold value, finds that there is the business exceeding alarm threshold value, carries out abnormal conditions alarm;
C) method in longitudinal layered and horizontal point territory is adopted to carry out statistic of classification to the service feature data gathered.
2., as claimed in claim 1 based on the Web application system service feature monitoring method of Java platform, it is characterized in that, described step a) comprises following process:
A1) application server switch is adopted to be carried out being mirrored to another one port by Web Application Server port;
A2) port of mirror image is connected with bypass snooping equipment server;
A3) utilize bypass snooping equipment server automatically to collect all message informations of application server switch, and put information in storage system database.
3. as claimed in claim 2 based on the Web application system service feature monitoring method of Java platform, it is characterized in that, described message information comprises the applied function module of user's access, cookie/session-id, GET/POST parameter, client ip, server ip, visit capacity, browser type, server answer code, server response time and network latency.
4. as claimed in claim 1 based on the Web application system service feature monitoring method of Java platform, it is characterized in that, described step b) based on system monitoring dimension definition operational indicator alarm type, described operational indicator alarm type comprises application performance killer rank, the slowest page rank, system resource overhead rank and application large objects rank.
5. as claimed in claim 1 based on the Web application system service feature monitoring method of Java platform, it is characterized in that, described step b) based on districts and cities' operation dimension definition operational indicator alarm type, described operational indicator alarm type comprises real-time system total satisfactory grade, districts and cities' total satisfactory grade, the overall error rate of real-time system, the distribution of customer access area territory, the page fault classification made a mistake and ratio.
6. as claimed in claim 1 based on the Web application system service feature monitoring method of Java platform, it is characterized in that, described step b) based on user awareness dimension definition operational indicator alarm type, described operational indicator alarm type comprises service response time, interface processing time, service stability and service operability, and whether exceed alarm threshold value by more corresponding SQL statement is consuming time, carry out abnormal conditions alarm.
7. as claimed in claim 1 based on the Web application system service feature monitoring method of Java platform, it is characterized in that, described step c) in longitudinal layeredly comprise hardware layer, podium level and application layer, a described transverse direction point territory comprises inquiry field, interface territory, process domain, represents territory, framework territory and demand territory.
8. the Web application system service feature monitoring method based on Java platform as described in any one of claim 1 ~ 7, it is characterized in that, the URL also comprised by asking user carries out identification definition business relations, statistical service code relates to response time of function or method, SQL statement is consuming time, quick identification with review service feature bottleneck, and the service feature bottleneck collected is filtered, finally form closed operation flow and carry out follow-up optimization process.
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