CN108509230A - Fine intelligence gray scale delivery system - Google Patents
Fine intelligence gray scale delivery system Download PDFInfo
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- CN108509230A CN108509230A CN201810200944.1A CN201810200944A CN108509230A CN 108509230 A CN108509230 A CN 108509230A CN 201810200944 A CN201810200944 A CN 201810200944A CN 108509230 A CN108509230 A CN 108509230A
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- gray scale
- user
- uid
- identification information
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44536—Selecting among different versions
Abstract
The present invention relates to fine intelligence gray scale delivery systems, belong to gray scale delivery system；Whether advanced access customer has identification information module after system starts, and enters if having identification information and distributes Version module according to identification information；Enter system stable release module if without identification information, is then again introduced into and distributes Version module according to identification information, finally enter system latest edition module；Wherein user whether have identification information module in system judge user whether there is have corresponding user identifier；User is using web terminal or mobile terminal login system.By feedback information and data analysis information, this technology being capable of intelligent analysis publication prediction scheme；Gradually ensure that the version that user uses is consistent by orienting group in the case of unaware.
Description
Technical field
The present invention relates to fine intelligence gray scale delivery systems.
Background technology
Gray scale publication refers to a kind of published method that can seamlessly transit between black and white.AB test are exactly a kind of ash
Published method is spent, a part of user is allowed to continue to use A, a part of user starts to use B, if user does not have any opposing views to B,
So gradually expanded scope all moves to all users above B to come.Gray scale issues the stabilization that can ensure total system,
It can be found when initial gray, adjustment problem, to ensure its disturbance degree.
There are one features for internet product, are exactly ceaselessly to upgrade, upgrading, then upgrade.Many project team, are kept substantially
Publication frequency once a week, system upgrade invariably accompany risk, the risk of new and old edition compatibility, and user's use habit is unexpected
Change and cause the risk of customer loss, in order to avoid these risks, many products all use risk ... the .. of system down machines
The strategy of gray scale publication, main thought are exactly that influence is focused on a point, then diffuse to face again, are occurred unexpected
It is easy for retracting after situation.
Existing system distribution technology defect：It is all using user's progress version updating and upgrading that system can be directed to, after update
System the problem of be presented to comprehensively in face of all users, coverage is too wide, poor user experience, cannot meet and is
System durability requirements.
The gray scale delivery system in industry is issued for user area property at present, cannot hair required for fine-grained control again
The customer group of cloth.And conveniently can not be positive in system feedback, system feedback information not enough refines.
Invention content
In view of the defects and deficiencies of the prior art, the present invention intends to provide a kind of reasonable designs, easy to operate
Fine intelligence gray scale delivery system.
To achieve the above object, the technical solution adopted by the present invention is：Whether advanced access customer has identification after system starts
Information module enters if having identification information and distributes Version module according to identification information；Enter system if without identification information
Stable release module is then again introduced into and distributes Version module according to identification information, finally enters system latest edition module；Its
Middle user whether have identification information module in system judge user whether there is have corresponding user identifier；User is using web
End or mobile terminal login system are needed to judge that user whether there is user identity information, using uid, be carried out according to whether existing
The forwarding of back-end version；There are uid to also need to judge that uid issues shape in the distribution Version module according to identification information
State；After the request of existing uid enters, states of the uid in gray scale publication is judged, according to the uid progress of backstage distribution
Match, forwarding subsequent request to corresponding system；User identifier is not present in user in the system stable release module；User does not deposit
It identifying, user is then directly requested assignment to stable release by gray scale delivery system, and stable release can give one uid of the user,
Subsequent request to be forwarded according to there are the case where uid；If user uid, not in issued state, ask the visitor in by institute for gray scale system
It asks and is transmitted to stable versions and is handled, user will not perceive the publication of new version；The system latest edition module
In if user uid is there are in issued state, all requests are transmitted to latest versions and handled by gray scale system, and user will
Experience the system service of new most version.
For the entrance of HTTP request all on request debugger, request debugger can be according to location in the system of the present invention
Configuration carry out uri selection.Request data can judge whether current application has been switched on gray scale at this time, judge to be application again
Then the gray scale of rank or the gray scale of service class carry out gray scale, currently according to the gray scale strategy of gray scale control platform configuration
Support designated user uid, regular expression etc..Gray scale control platform can call engine management to execute corresponding instruction, be closed
It closes, open, more new strategy and uid setting etc., each nginx reload and can manage system calling when restarting from gray scale and connect again
Mouth reads the information of configuration application, is added and caches.
The present invention is for improving performance, and whether the data buffer storages such as gray scale exist by the essential information of application, gray scale strategy, uid
In the shared drive block of nginx, each worker processes of nginx share this data, are carried out under the manipulation of engine management
Data cached update.
Debugger in present system cooperates with debugging core；Include current reference wherein in debugging core, draw
Hold up management, the villages caching gray scale list He Hua gray scale strategy；Comprising receiving, front end is asked, grey states are sentenced in the current reference
Disconnected, gray scale strategy judges and the forwarding of gray scale strategy；The engine management includes load gray scale strategy, update gray scale strategy, safeguards
Gray scale list and the forwarding of gray scale strategy；Gray scale strategy is forwarded to stable application system or gray scale application system by the debugger.
One completely new correcting system of fine intelligence gray scale delivery system of the present invention or website are formal not yet
Small category is first carried out before publication, screening designated user issues, by the summary of announced user data go wrong with
And area for improvement, a kind of orientable intelligent gray scale distribution technology carried out comprehensively again after improving.
Corresponding adjustment and perfect can be made to system according to the feedback of the user of latest versions, improving stability
Meanwhile the use system processing relevant work that a user for being mostly in stable versions stablizes can be thought deeply.
With the above structure, fine intelligence gray scale delivery system of the present invention, has the advantages that：Change
Being reduced in kind tradition gray scale issuing process again can be to highdensity collection feedback information while reaching the standard grade risk；Reducing influences model
It encloses, and range-controllable is in simple grain degree group；The dependence to test is reduced, the data configuration cost tested oneself under line is reduced；It is specific
Request can point at specific server, facilitate Centralized Monitoring daily record, facilitate tracking is complete to call link；Facilitate system stream
Amount incision；Facilitate rollback；Specified specific crowd, facilitates system to pay a return visit, product demand is facilitated to collect, improve product function, is promoted
Product quality；By feedback information and data analysis information, this technology being capable of intelligent analysis publication prediction scheme；In the feelings of unaware
Gradually ensure that the version that user uses is consistent by orienting group under condition.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without having to pay creative labor, may be used also for those of ordinary skill in the art
With obtain other attached drawings according to these attached drawings.
Fig. 1 is the flow chart of the present invention；
Fig. 2 is the system diagram of the present invention；
Fig. 3 is the internal module block diagram that core is debugged in the present invention.
Specific implementation mode
The present invention will be further described below with reference to the drawings.
Referring to such as Fig. 1 -- shown in Fig. 3, whether advanced access customer has identification information after the system startup of present embodiment
Module, whether the user, which has in identification information module, is equipped with S10, enters if having identification information and distributes version according to identification information
This module, described distributed according to identification information are equipped with S20 in Version module；Enter system stable release if without identification information
Module is equipped with S11 and S21 in the system stable release module, is then again introduced into and distributes Version module according to identification information,
System latest edition module is finally entered, S30 is equipped in the system latest edition module；
Wherein, S10：Judge user with the presence or absence of there is corresponding user identifier；User is logging in system using web terminal or mobile terminal
System needs to judge that user whether there is user identity information, using uid, according to whether there is the forwarding for carrying out back-end version；
S20：There are uid to also need to carry out judging uid issued states；After the request of existing uid enters, judge the uid in ash
State in degree publication is matched, forwarding subsequent request to corresponding system according to the uid of backstage distribution；
S11：User identifier is not present in user；There is no mark, gray scale delivery systems then directly to request assignment to user by user
Stable release, stable release can give one uid of the user, subsequent request to be forwarded according to there are the case where uid；
S21：If user uid, not in issued state, all requests are transmitted to stable versions and handled by gray scale system,
User will not perceive the publication of new version；
S30：If user uid is there are in issued state, all requests are transmitted to latest versions and handled by gray scale system,
User will experience the system service of new most version.
For the entrance of HTTP request all on request debugger, request debugger can basis in the system of present embodiment
The configuration of location carries out the selection of uri.Request data can judge whether current application has been switched on gray scale at this time, sentence again
Disconnected is the gray scale of the gray scale of application level or service class, then carries out ash according to the gray scale strategy of gray scale control platform configuration
Degree, it is current to support designated user uid, regular expression etc..Gray scale control platform can call engine management to execute corresponding instruction,
It closed, opened, more new strategy and uid setting etc., each nginx reload and can manage system when restarting from gray scale again
Calling interface reads the information of configuration application, and caching is added.
Present embodiment for improving performance, the essential information of application, gray scale strategy, uid whether the data such as gray scale
It is buffered in the shared drive block of nginx, each worker processes of nginx share this data, in the manipulation of engine management
It is lower to carry out data cached update.
Debugger in present embodiment system cooperates with debugging core；Wherein debug in core includes engine
Core, engine management, the villages caching gray scale list He Hua gray scale strategy；Include to receive front end request, gray scale in the current reference
Condition adjudgement, gray scale strategy judge and the forwarding of gray scale strategy；The engine management includes load gray scale strategy, update gray scale plan
Slightly, gray scale list and the forwarding of gray scale strategy are safeguarded；Gray scale strategy is forwarded to stable application system to the debugger or gray scale is answered
Use system.
One completely new correcting system of fine intelligence gray scale delivery system of present embodiment or website are also
Without first carrying out small category before formally publication, screening designated user issues, is summarized by announced user data
It goes wrong and area for improvement, a kind of orientable intelligent gray scale distribution technology carried out comprehensively again after improving.
Corresponding adjustment and perfect can be made to system according to the feedback of the user of latest versions, improving stability
Meanwhile the use system processing relevant work that a user for being mostly in stable versions stablizes can be thought deeply.
With the above structure, present embodiment has the advantages that：
1, being reduced in the traditional gray scale issuing process of improvement again can be to highdensity collection feedback information while reaching the standard grade risk；
2, coverage is reduced, and range-controllable is in simple grain degree group；
3, the dependence to test is reduced, the data configuration cost tested oneself under line is reduced；
4, specific request can point at specific server, facilitate Centralized Monitoring daily record, facilitate tracking is complete to call link；
5, flow system flow is facilitated to cut；
6, facilitate rollback；
7, specific crowd is specified, facilitates system to pay a return visit, product demand is facilitated to collect, improve product function, Improving The Quality of Products；
8, by feedback information and data analysis information, this technology being capable of intelligent analysis publication prediction scheme；
9, gradually ensure that the version that user uses is consistent by orienting group in the case of unaware；
10, it avoids stopping servicing bringing bad experience to user.
The above is merely illustrative of the technical solution of the present invention and unrestricted, and those of ordinary skill in the art are to this hair
The other modifications or equivalent replacement that bright technical solution is made, as long as it does not depart from the spirit and scope of the technical scheme of the present invention,
It is intended to be within the scope of the claims of the invention.
Claims (4)
1. fine intelligence gray scale delivery system, it is characterised in that：Whether advanced access customer has identification information mould after system starts
Block enters if having identification information and distributes Version module according to identification information；Enter system if without identification information and stablizes version
This module is then again introduced into and distributes Version module according to identification information, finally enters system latest edition module；Wherein user
Whether have identification information module in system judge user whether there is have corresponding user identifier；User is using web terminal or shifting
Moved end login system needs to judge that user whether there is user identity information, and using uid, rear end version is carried out according to whether existing
This forwarding；There are uid to also need to carry out judging uid issued states in the distribution Version module according to identification information；It has deposited
After the request of uid enters, judges states of the uid in gray scale publication, matched, forwarded according to the uid of backstage distribution
Subsequent request is to corresponding system；User identifier is not present in user in the system stable release module；Mark is not present in user,
User is then directly requested assignment to stable release by gray scale delivery system, and stable release can give one uid of the user, subsequent request
It to be forwarded according to there are the case where uid；If user uid, not in issued state, all requests are transmitted to by gray scale system
Stable versions are handled, and user will not perceive the publication of new version；In the system latest edition module if with
Family uid is there are in issued state, and all requests are transmitted to latest versions and handled by gray scale system, and user will experience newly
The system service of most version.
2. fine intelligence gray scale delivery system according to claim 1, it is characterised in that：HTTP request enters in system
For mouth all on request debugger, request debugger can carry out the selection of uri according to the configuration of location；Request data meeting at this time
Judge whether current application has been switched on gray scale, again judge be application level gray scale or service class gray scale, then
Gray scale is carried out according to the gray scale strategy of gray scale control platform configuration, it is current to support designated user uid, regular expression etc.；Gray scale
Control platform can call engine management to execute corresponding instruction, closed, opened, more new strategy and uid setting etc., every time
Again reload and the information that can read configuration application when restarting from gray scale management system call interfaces, addition cache nginx.
3. fine intelligence gray scale delivery system according to claim 2, it is characterised in that：Debugger in system and tune
Core is tried to cooperate；It wherein debugs in core comprising current reference, engine management, the villages caching gray scale list He Hua gray scale plan
Slightly；Comprising receiving, front end request, grey states judgement, gray scale strategy judges and the forwarding of gray scale strategy in the current reference；Institute
Engine management is stated to include load gray scale strategy, update gray scale strategy, safeguard gray scale list and the forwarding of gray scale strategy；The debugger
Gray scale strategy is forwarded to stable application system or gray scale application system.
4. fine intelligence gray scale delivery system according to claim 2, it is characterised in that：The essential information of its application,
Gray scale strategy, uid whether the data buffer storages such as gray scale in the shared drive block of nginx, each worker processes of nginx are total
This data is enjoyed, data cached update is carried out under the manipulation of engine management.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810200944.1A CN108509230B (en) | 2018-03-12 | 2018-03-12 | High-precision intelligent gray scale release system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810200944.1A CN108509230B (en) | 2018-03-12 | 2018-03-12 | High-precision intelligent gray scale release system |
Publications (2)
| Publication Number | Publication Date |
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| CN108509230A true CN108509230A (en) | 2018-09-07 |
| CN108509230B CN108509230B (en) | 2021-03-23 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201810200944.1A Active CN108509230B (en) | 2018-03-12 | 2018-03-12 | High-precision intelligent gray scale release system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109739537A (en) * | 2018-12-29 | 2019-05-10 | 中电福富信息科技有限公司 | A kind of gray scale release management platform and gray scale method for release management |
| CN110784409A (en) * | 2019-10-31 | 2020-02-11 | 湖南御家科技有限公司 | Spring Cloud-based micro-service gray level publishing method |
| CN112181475A (en) * | 2019-07-04 | 2021-01-05 | 深圳市观麦网络科技有限公司 | Gray scale publishing method and device |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103176790A (en) * | 2011-12-26 | 2013-06-26 | 阿里巴巴集团控股有限公司 | Application releasing method and application releasing system |
| CN105099988A (en) * | 2014-04-24 | 2015-11-25 | 阿里巴巴集团控股有限公司 | Method used for supporting gray releasing, access method, devices and system |
-
2018
- 2018-03-12 CN CN201810200944.1A patent/CN108509230B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103176790A (en) * | 2011-12-26 | 2013-06-26 | 阿里巴巴集团控股有限公司 | Application releasing method and application releasing system |
| CN105099988A (en) * | 2014-04-24 | 2015-11-25 | 阿里巴巴集团控股有限公司 | Method used for supporting gray releasing, access method, devices and system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109739537A (en) * | 2018-12-29 | 2019-05-10 | 中电福富信息科技有限公司 | A kind of gray scale release management platform and gray scale method for release management |
| CN112181475A (en) * | 2019-07-04 | 2021-01-05 | 深圳市观麦网络科技有限公司 | Gray scale publishing method and device |
| CN110784409A (en) * | 2019-10-31 | 2020-02-11 | 湖南御家科技有限公司 | Spring Cloud-based micro-service gray level publishing method |
| CN110784409B (en) * | 2019-10-31 | 2022-08-09 | 长沙水羊网络科技有限公司 | Spring Cloud-based micro-service gray level publishing method |
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| Publication number | Publication date |
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| CN108509230B (en) | 2021-03-23 |
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