CN111580855B - Policy issuing method and system based on full-flow gray level issuing and electronic equipment - Google Patents
Policy issuing method and system based on full-flow gray level issuing and electronic equipment Download PDFInfo
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Abstract
The invention provides a strategy release method based on full-flow gray release, which is used for automatically releasing strategies to be released in gray in a production system, and comprises the following steps: constructing a shadow system of the production system, wherein the shadow system comprises a plurality of flow nodes which are completely the same as the production system; releasing the strategy to be released to the corresponding flow node in the shadow system; executing user requests in parallel in the production system and the shadow system, and recording operation data in the production system and the shadow system respectively; automatically comparing the operation data of the production system and the shadow system, and judging whether the difference between the production system and the shadow system is within a preset range; and when the difference is within a preset range, releasing the strategy to be released into the production system according to a preset gray level release rule. The method can eliminate potential production problems, reduce the release risk of the production system and improve the release efficiency of the strategy.
Description
Technical Field
The invention relates to the field of computer information processing, in particular to a strategy release method, a strategy release system and electronic equipment based on full-flow gray level release.
Background
When a software or Application (APP) needs to release a new version to be online in a production environment, a gray-scale version can be added selectively, and a corresponding gray-scale rule (such as a flow weight, a header field in an http request, etc.) is configured, so that a part of access flow of a default version of the original production environment is drained to the gray-scale version. After the test is stable, the gray version can be switched into a default version, so that the gray version takes over the access flow on the default version of the original production environment.
In the prior art, when the gray rule is configured, the gray rule is configured only after the gray version is started normally by manpower. If the gray scale rule is configured prematurely, such as if the gray scale version is not started normally, then access traffic is introduced to the gray scale version, and the gray scale version cannot be accessed, so that some users cannot access the system. Moreover, if an exception occurs in the running process of the gray version, for example, the gray version is restarted or the core of the exception is dumped, the user traffic introducing the gray version cannot access the APP, so that the access traffic is interrupted during the running process of the gray version.
In the existing test version release method, after a developer sees a download link, the developer logs in a test machine with a corresponding test environment through a springboard machine, and the remote control test machine completes release of a new test version through the following process: and downloading new test version files from the integrated tool according to the download links, respectively deploying the downloaded test version files under corresponding catalogues on the testing machine, manually restarting corresponding services after deployment is completed, and completing release of the new test version after service restarting is successful. The release of the test version is manually completed by each developer, the operation process is very complicated, and the release efficiency of the test version is low. In addition, system or software gray scale distribution typically goes through a shunt to perform a/B testing, where problems can only be found when the gray scale distribution is initiated. The existing method is generally only applied to a single node, the difficult problem of relevance evaluation among all nodes in a complex flow cannot be solved, and the efficiency of the strategy release method is still to be improved.
Therefore, it is necessary to provide a policy issuing method based on full-flow gray level issue with higher efficiency.
Disclosure of Invention
In order to solve the above-mentioned problems, the present invention provides a policy issuing method based on full-process gray-scale issuing, for automatically gray-scale issuing a policy to be issued in a production system, the production system including a plurality of process nodes, the policy to be issued being a policy applied to at least one of the plurality of process nodes, the method comprising: constructing a shadow system of a production system, wherein the shadow system comprises a plurality of flow nodes which are completely identical with the production system; releasing the strategy to be released to a corresponding flow node in the shadow system; executing user requests in parallel with the shadow system in the production system, and recording operation data in the production system and the shadow system respectively; automatically comparing the operation data of the production system and the shadow system, and judging whether the difference between the production system and the shadow system is within a preset range; and when the difference is within a preset range, releasing the strategy to be released into the production system according to a preset gray level release rule.
Preferably, automatically comparing the operation data of the production system and the shadow system, and determining whether the difference between the two is within a predetermined range includes: and respectively and automatically comparing the operation data of the production system and the shadow system in each flow node, and judging whether the differences of the corresponding flow nodes are in respective preset ranges.
Preferably, the process node is a process point of a financial product, including at least one of: registration, credit, movable support, forehead lifting, repayment and collection.
Preferably, the operational data is a financial product indicator comprising at least one of: user passing rate, user registration probability, user credit rate or credit limit and repayment overdue rate.
Preferably, the policy to be issued is a policy set composed of policies on each flow node.
Preferably, the gray scale release rule comprises an effective proportion of a gray scale deployment rule to be released, a user group to be released and release time.
Preferably, the method further comprises: the gray scale distribution rule includes: the effective proportion is gradually increased with time.
In addition, the invention also provides a strategy release system based on full-process gray release, which is used for automatically releasing strategies to be released in gray in a production system, wherein the production system comprises a plurality of process nodes, the strategies to be released are strategies applied to at least one node in the plurality of process nodes, and the system comprises: a building module for building a shadow system of a production system, the shadow system comprising a plurality of flow nodes identical to the production system; the processing module is used for issuing the strategy to be issued to a corresponding flow node in the shadow system; the recording module is used for executing user requests in parallel with the shadow system in the production system and recording operation data in the production system and the shadow system respectively; the comparison module is used for automatically comparing the operation data of the production system and the shadow system and judging whether the difference of the production system and the shadow system is in a preset range or not; and the release module is used for releasing the strategy to be released into the production system according to a preset gray level release rule when the difference is in a preset range.
Preferably, the policy issuing system further includes a judging module, where the judging module is configured to automatically compare operation data of the production system and the shadow system at each process node respectively, and judge whether differences of the corresponding process nodes are all within respective predetermined ranges.
Preferably, the process node is a process point of a financial product, including at least one of: registration, credit, movable support, forehead lifting, repayment and collection.
Preferably, the operational data is a financial product indicator comprising at least one of: user passing rate, user registration probability, user credit rate, credit limit and repayment overdue rate.
Preferably, the policy to be issued is a policy set composed of policies on each flow node.
Preferably, the gray scale release rule comprises an effective proportion of a gray scale deployment rule to be released, a user group to be released and release time.
Preferably, the method further comprises: the gray scale distribution rule includes: the effective proportion is gradually increased with time.
In addition, the invention also provides electronic equipment, wherein the electronic equipment comprises: a processor; and a memory storing computer executable instructions that, when executed, cause the processor to perform the full-flow gray scale issue-based policy issue method of the present invention.
In addition, the invention also provides a computer readable storage medium, wherein the computer readable storage medium stores one or more programs, and the strategy issuing method based on full-flow gray level issuing.
Advantageous effects
Compared with the prior art, the strategy release method based on full-flow gray release can discover the production problem of the strategy to be released before formal release, and can ensure the stability of the system; the method and the system can solve the problem that the influence of each flow node in the whole flow of high-coupling and multi-scene risk approval is difficult to evaluate relative to the whole flow, can judge the coupling influence among the flow nodes, can eliminate potential production problems, reduce the release risk of a production system and improve the release efficiency of strategies.
Drawings
In order to make the technical problems solved by the present invention, the technical means adopted and the technical effects achieved more clear, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted, however, that the drawings described below are merely illustrative of exemplary embodiments of the present invention and that other embodiments of the present invention may be derived from these drawings by those skilled in the art without undue effort.
Fig. 1 is a flowchart of an example of a policy issuing method based on full-flow gray level issue of the present invention.
Fig. 2 is a schematic block diagram of the application scenario of the policy issuing method based on full-flow gray level issue of the present invention.
Fig. 3 is a schematic block diagram of another example of the policy issuing method based on full-flow gray-scale issuing of the present invention.
Fig. 4 is a schematic block diagram of an example of a policy issuing system based on full-flow gray level issue of the present invention.
Fig. 5 is a schematic block diagram of another example of a policy issuing system based on full-flow gray scale issuing of the present invention.
Fig. 6 is a block diagram of an exemplary embodiment of an electronic device according to the present invention.
Fig. 7 is a block diagram of an exemplary embodiment of a computer readable medium according to the present invention.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art. The same reference numerals in the drawings denote the same or similar elements, components or portions, and thus a repetitive description thereof will be omitted.
The features, structures, characteristics or other details described in a particular embodiment do not exclude that may be combined in one or more other embodiments in a suitable manner, without departing from the technical idea of the invention.
In the description of specific embodiments, features, structures, characteristics, or other details described in the present invention are provided to enable one skilled in the art to fully understand the embodiments. However, it is not excluded that one skilled in the art may practice the present invention without one or more of the specific features, structures, characteristics, or other details.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
It should be understood that although the terms first, second, third, etc. may be used herein to describe various devices, elements, components or portions, this should not be limited by these terms. These words are used to distinguish one from the other. For example, a first device may also be referred to as a second device without departing from the spirit of the invention.
The term "and/or" and/or "includes all combinations of any of the associated listed items and one or more.
In the prior art, system or software gray scale distribution is usually carried out by shunting for A/B test, and problems are found at the time of initial gray scale distribution. In addition, the existing method is generally only applied to a single node, and cannot solve the problem of relevance evaluation among all nodes in a complex flow. In particular, the whole risk approval process facing high coupling and multiple scenes does not have a corresponding strategy release method, and the strategy release efficiency is low.
In view of the above problems, the present invention provides a policy issuing method based on full-flow gray level issue.
The present invention will be further described in detail below with reference to specific embodiments and with reference to the accompanying drawings, in order to make the objects, technical solutions and advantages of the present invention more apparent.
Example 1
Next, an embodiment of a policy issuing method based on full-flow gradation issuing of the present invention will be described with reference to fig. 1 to 3.
Fig. 1 is a flowchart of an example of a policy issuing method based on full-flow gray level issue of the present invention.
As shown in fig. 1, a policy issuing method based on full-process gray-scale issuing is used for automatically issuing a policy to be issued in a production system, the production system includes a plurality of process nodes, the policy to be issued is a policy applied to at least one node in the plurality of process nodes, and the method includes:
in step S101, a shadow system of a production system is constructed, the shadow system comprising a plurality of flow nodes identical to the production system.
Step S102, the strategy to be issued is issued to the corresponding flow node in the shadow system.
And step S103, executing user requests in parallel with the shadow system in the production system, and recording operation data in the production system and the shadow system respectively.
Step S104, the operation data of the production system and the shadow system are automatically compared, and whether the difference between the two is within a preset range is judged.
And step S105, when the difference is within a preset range, releasing the strategy to be released into the production system according to a preset gray level release rule.
Fig. 2 is a schematic block diagram of the application scenario of the policy issuing method based on full-flow gray level issue of the present invention.
As shown in fig. 2, in an application scenario of a risk approval process with high coupling, the policy issuing system of the present invention includes a production system and a shadow system, where both systems include all process nodes of a wind control approval process, the production system is used for a production system for formal gray scale issuing, and the shadow system is used for testing the process nodes of a policy to be issued.
From fig. 2, it can be seen that the left to right refers to different time nodes, respectively, and is also a complete flow representing gray scale deployment. R0 refers to a rule in production before release of the R1 version, and R1 refers to a test version which needs to be released for the first time. The process node with the strategy R1 to be distributed is firstly placed at the corresponding process node of the shadow system, and after the test, the original strategy R0 in the production system is replaced. Further, when the deployment rule R1 is completed, the release production of R1 is successful, and at this time, the shadow system will become the last production version R0 of release R1, and the policy release test of the next flow node will be continued.
The policy issuing method for full-flow gray level issuing of the present invention will be specifically described below with reference to specific application examples.
Specifically, in step S101, a shadow system of a production system is constructed, the shadow system including a plurality of flow nodes that are identical to the production system.
In order to truly and completely test the influence of policy change of a certain flow node in full-flow gray level release on the whole flow (or the full flow), a shadow system of a production system is constructed, wherein the shadow system is provided with a plurality of flow nodes which are completely the same as the production system and used for testing the influence of the flow node of the policy to be released on the full flow node.
Further, the process node is a process point of a financial product, and includes at least one of the following: registration, credit, movable support, forehead lifting, repayment and collection.
Next, in step S102, the policy to be issued is issued to a corresponding flow node in the shadow system.
In this example, for example, the flow node with policy R1 to be issued is first placed at the corresponding flow node of the shadow system.
Specifically, the policy to be issued is a policy set composed of policies on each flow node. For example, the gray deployment rule (i.e. the policy R1 to be issued) corresponding to the flow node to be issued in the production system is uploaded to the corresponding flow node in the shadow system as a test node, and is used to simulate the execution of pre-issue by the production system.
Further, the strategy R1 to be released is tested through the shadow system and then applied to the production system after the testing, so that the release risk of the production system is reduced.
Next, in step S103, a user request is executed in parallel with the shadow system at the production system, and operation data in the production system and the shadow system are recorded, respectively.
Under the condition that the process nodes except for the strategy R1 to be issued are the same, based on the user request, the production system and the shadow are executed in parallel, and the operation data in the production system and the shadow system are recorded respectively to judge the influence of the process nodes on the whole process, so that potential production problems are eliminated, and the issuing risk of the production system is reduced.
It should be noted that the above recorded operation data includes policy results, such as decision engine output items.
In order to judge the influence of the flow node of the strategy R1 to be issued on the whole flow, the recorded operation data is analyzed.
Next, in step S104, the operation data of the production system and the shadow system are automatically compared, and it is determined whether the difference between the two is within a predetermined range.
Specifically, the operation data of the production system and the shadow system in each flow node are respectively and automatically compared, and whether the differences of the corresponding flow nodes are in the respective preset ranges is judged.
Further, the operational data is a financial product indicator including at least one of: user passing rate, user registration probability, user credit rate, credit limit and repayment overdue rate.
It should be noted that the specific comparison content is determined according to the test policy content, such as the user passing rate, the average credit limit of the credit limit, and other indexes.
Further, the comparison method performs comparison analysis by, for example, a strategic person through data base pulling data, or monitors various indexes of the production system and the shadow system observed by the system according to the decision engine.
In this example, for automatic comparison of the monitoring system, before the actual gray distribution or before the gray distribution test is performed, the policy personnel may set the index change range in the policy requirement, for example, the absolute value of the production passing rate ranges from (1% to 2%), and after the gray distribution test, the policy distribution system of the present invention automatically compares whether the passing rate in the production system and the shadow system is within the set change range. And then, the strategy personnel determines whether to issue formally according to the automatic comparison result of the system.
Next, in step S105, when the difference is within a predetermined range, the policy to be issued is issued into the production system according to a predetermined gradation issue rule.
In this example, as shown in fig. 3, the method further presets step S301 of the gray scale distribution rule.
In step S301, a gray level distribution rule is preset according to the specific content of the distribution policy.
Specifically, the gray scale release rule includes an effective proportion of a gray scale deployment rule to be released, a user group to be released and release time.
Further, the gray scale distribution rule includes: the effective proportion is gradually increased with time.
In this example, the production system is a risk approval system, the shadow system is part of a greyscale deployment, and the greyscale deployment is implemented based on adjusting the effective proportions of the shadow system and the production system. The purpose is to reduce the various risks before the test version becomes fully effective.
For example, when 10000 new clients enter the risk approval system, under the condition that the current effective proportion of gray deployment is 100%, 10000 new clients execute the production system and the shadow system in parallel, and after execution is finished, the results executed by each user in the production system and the shadow system are respectively saved. However, if the efficiency ratio is 20%, 10000 clients execute the production system, 2000 execute the shadow system, and the results of the execution of the users in the production system and the shadow system are stored.
The gradation release method of the present invention is applied to at least one terminal device, a gradation release production system composed of a server, and a shadow system. And the terminal equipment and the server perform data transmission according to a preset protocol. Preferably, the preset protocol includes, but is not limited to, any one of the following: HTTP protocol (Hyper Text Transfer Protocol ), HTTPs protocol (Hyper Text Transfer Protocol over Secure Socket Layer, HTTP protocol targeted for security), etc. In at least one embodiment of the present invention, the server may be a single server, or may be a server group formed by several functional servers together. The terminal device may be any terminal having a network connection function, for example, the terminal device may be a mobile device of a personal computer, a tablet computer, a smart phone, a personal digital assistant (Personal Digital Assistant, PDA), a game machine, an interactive internet protocol television (Internet Protocol Television, IPTV), an intelligent wearable device, a navigation apparatus, or the like, or a stationary device of a desktop computer, a digital TV, or the like. Furthermore, the foregoing is illustrative only of the preferred embodiments and is not to be construed as limiting of the present invention.
In another example, determining flow nodes associated with policy nodes to be published, the number of associated flow nodes, etc. to determine coupling effects between associated flow nodes is also included.
In yet another example, the policy node to be issued carries out quantization calculation on the issue risk of the policy node relative to the whole flow node, and the gray level policy rule and the policy set of the flow test node to be issued are optimized and adjusted based on the calculation result.
Further, according to the content of the test policy and the policy nodes to be issued, a user group and the preset number thereof are set, access requests of the set user group are screened, and the screened access requests are executed in parallel in the production system and the shadow system so as to carry out issuing risk assessment.
The above-described procedure of the policy issuing method based on full-flow gray level issue is merely for explaining the present invention, wherein the order and the number of steps are not particularly limited. In addition, the steps in the method can be split into two, three or some steps can be combined into one step, and the adjustment is performed according to practical examples.
Compared with the prior art, the strategy release method based on full-flow gray release can discover the production problem of the strategy to be released before formal release, and can ensure the stability of the system; the method and the system can solve the problem that the influence of each flow node in the whole flow of high-coupling and multi-scene risk approval is difficult to evaluate relative to the whole flow, can judge the coupling influence among the flow nodes, can eliminate potential production problems, reduce the release risk of a production system and improve the release efficiency of strategies.
Those skilled in the art will appreciate that all or part of the steps implementing the above-described embodiments are implemented as a program (computer program) executed by a computer data processing apparatus. The above-described method provided by the present invention can be implemented when the computer program is executed. Moreover, the computer program may be stored in a computer readable storage medium, which may be a readable storage medium such as a magnetic disk, an optical disk, a ROM, a RAM, or a storage array composed of a plurality of storage media, for example, a magnetic disk or a tape storage array. The storage medium is not limited to a centralized storage, but may be a distributed storage, such as cloud storage based on cloud computing.
Embodiments of the policy issuing system of the present invention are described below, which may be used to perform method embodiments of the present invention. Details described in relation to the system embodiments of the present invention should be considered as additions to the method embodiments described above; for details not disclosed in the system embodiments of the present invention, reference may be made to the method embodiments described above.
Example 2
Referring to fig. 4 and 5, the present invention further provides a policy issuing system 400 based on full-process gray-scale issuing, for automatically gray-scale issuing a policy to be issued in a production system, the production system including a plurality of process nodes, the policy to be issued being a policy applied to at least one of the plurality of process nodes, the system 400 including: a building block 401 for building a shadow system of a production system, the shadow system comprising a plurality of flow nodes that are identical to the production system; a processing module 402, configured to publish the policy to be published to a corresponding flow node in the shadow system; a recording module 403, configured to execute a user request in parallel with the shadow system in the production system, and record operation data in the production system and the shadow system, respectively; a comparison module 404 for automatically comparing the operation data of the production system and the shadow system, and judging whether the difference between the two is within a predetermined range; and the release module 405 is configured to release the policy to be released into the production system according to a predetermined gray level release rule when the difference is within a predetermined range.
As shown in fig. 5, the policy issuing system 400 further includes a determining module 501, where the determining module 501 is configured to automatically compare operation data of the production system and the shadow system at each process node, and determine whether differences between the corresponding process nodes are all within respective predetermined ranges.
Preferably, the process node is a process point of a financial product, including at least one of: registration, credit, movable support, forehead lifting, repayment and collection.
Preferably, the operational data is a financial product indicator comprising at least one of: user passing rate, user registration probability, user credit rate, credit limit and repayment overdue rate.
Preferably, the policy to be issued is a policy set composed of policies on each flow node.
Preferably, the gray scale release rule comprises an effective proportion of a gray scale deployment rule to be released, a user group to be released and release time.
Preferably, the gray scale distribution rule includes: the effective proportion is gradually increased with time.
In example 2, the same parts as those in example 1 are omitted.
Compared with the prior art, the strategy release system based on full-flow gray release is particularly suitable for the strategy release method of the embodiment 1, can find out the production problem of the strategy to be released before formal release, and can ensure the stability of the system; the coupling influence among the process nodes can be judged, potential production problems can be eliminated, the release risk of the production system is reduced, and the policy release efficiency is improved.
Those skilled in the art will appreciate that the modules in the above-described embodiments of the system may be distributed throughout a system as described, or may be distributed in one or more systems other than the above-described embodiments with corresponding variations. The modules of the above embodiments may be combined into one module, or may be further split into a plurality of sub-modules.
Example 3
The following describes an embodiment of an electronic device of the present invention, which may be regarded as a specific physical implementation of the above-described embodiment of the method and system of the present invention. Details described in relation to the electronic device embodiments of the present invention should be considered supplementary to the above-described method or system embodiments; for details not disclosed in the embodiments of the electronic device of the present invention, reference may be made to the above-described method or system embodiments.
Fig. 6 is a block diagram of an exemplary embodiment of an electronic device according to the present invention. An electronic device 200 according to the present invention will be described below with reference to fig. 6. The electronic device 200 shown in fig. 6 is only an example and should not be construed as limiting the functionality and scope of use of embodiments of the invention.
As shown in fig. 6, the electronic device 200 is in the form of a general purpose computing device. The components of the electronic device 200 may include, but are not limited to: at least one processing unit 210, at least one memory unit 220, a bus 230 connecting the different system components (including the memory unit 220 and the processing unit 210), a display unit 240, and the like.
Wherein the storage unit stores program code that is executable by the processing unit 210 such that the processing unit 210 performs the steps according to various exemplary embodiments of the present invention described in the above-mentioned electronic device processing method section of the present specification. For example, the processing unit 210 may perform the steps shown in fig. 1.
The memory unit 220 may include readable media in the form of volatile memory units, such as Random Access Memory (RAM) 2201 and/or cache memory 2202, and may further include Read Only Memory (ROM) 2203.
The storage unit 220 may also include a program/utility 2204 having a set (at least one) of program modules 2205, such program modules 2205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 230 may be a bus representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 200 may also communicate with one or more external devices 300 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 200, and/or any device (e.g., router, modem, etc.) that enables the electronic device 200 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 250. Also, the electronic device 200 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through a network adapter 260. Network adapter 260 may communicate with other modules of electronic device 200 via bus 230. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 200, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the exemplary embodiments described herein may be implemented in software, or may be implemented in software in combination with necessary hardware. Thus, the technical solution according to the embodiments of the present invention may be embodied in the form of a software product, which may be stored in a computer readable storage medium (may be a CD-ROM, a usb disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, or a network device, etc.) to perform the above-mentioned method according to the present invention. The computer program, when executed by a data processing device, enables the computer readable medium to carry out the above-described method of the present invention.
As shown in fig. 7, the computer program may be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable storage medium may also be any readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
In summary, the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components in accordance with embodiments of the present invention may be implemented in practice using a general purpose data processing device such as a microprocessor or Digital Signal Processor (DSP). The present invention can also be implemented as an apparatus or system program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present invention may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
The above-described embodiments further describe in detail the objects, technical solutions and advantageous effects of the present invention, and it should be understood that the present invention is not inherently related to any particular computer, virtual system or electronic apparatus, and various general-purpose devices may also implement the present invention. The foregoing description of the embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (16)
1. A policy issuing method based on full-process gray level issue, for automatically gray level issue of a policy to be issued in a production system, the production system including a plurality of process nodes, the policy to be issued being a policy applied to at least one node of the plurality of process nodes, the method comprising:
the production system is used for formally releasing gray scales, and a shadow system of the production system is constructed in a high-coupling risk approval process, the shadow system comprises a plurality of process nodes which are completely the same as the production system, and the shadow system is used for testing the influence of the process nodes of a strategy to be released on the whole process nodes;
the method comprises the steps that the strategy to be released is released to corresponding flow nodes in the shadow system, the flow nodes with the strategy to be released are firstly placed in the corresponding flow nodes of the shadow system to serve as test nodes, the number of the flow nodes and the number of the associated flow nodes which are associated with the flow nodes of the strategy to be released are determined to judge the coupling influence among the associated flow nodes, so that the production system is simulated to execute pre-release, and the strategy to be released is tested and then applied to the production system;
setting a user group and the preset number thereof according to the content of the test strategy and the flow nodes of the strategy to be issued, screening user requests of the set user group, executing the screened user requests in parallel with the shadow system in the production system under the conditions of the same and the same flow nodes except for the flow nodes of the strategy to be issued, and recording operation data in the production system and the shadow system respectively;
automatically comparing the operation data of the production system and the shadow system, and judging whether the difference between the production system and the shadow system is within a preset range; the automatic comparison includes: comparing and analyzing the data pulled by the database or automatically comparing various indexes of the production system and the shadow system observed by the decision engine monitoring system; before the gray level release is performed or before the gray level release test is performed, setting an index change range in the strategy requirement as a preset range;
and when the difference is within a preset range, releasing the strategy to be released into the production system according to a preset gray level release rule.
2. The method of claim 1, wherein automatically comparing the operational data of the production system and the shadow system and determining if the difference is within a predetermined range comprises:
and respectively and automatically comparing the operation data of the production system and the shadow system in each flow node, and judging whether the differences of the corresponding flow nodes are in respective preset ranges.
3. The method of claim 2, wherein the process node is a process point of a financial product comprising at least one of: registration, credit, movable support, forehead lifting, repayment and collection.
4. A method according to claim 3, wherein the operational data is a financial product indicator comprising at least one of: user passing rate, user registration probability, user credit rate or credit limit and repayment overdue rate.
5. The method according to any of claims 1 to 4, wherein the policy to be issued is a set of policies consisting of policies on individual flow nodes.
6. The method according to any one of claims 1 to 4, wherein the greyscale distribution rule comprises an effective proportion of greyscale deployment rules to be distributed, a population of users to be distributed, and a distribution time.
7. The policy issuing method according to claim 6, further comprising:
the gray scale distribution rule includes: the effective proportion is gradually increased with time.
8. A policy issuing system based on full-process gray-scale issuing for automatically gray-scale issuing a policy to be issued in a production system, the production system including a plurality of process nodes, the policy to be issued being a policy applied to at least one of the plurality of process nodes, the system comprising:
the system comprises a construction module, a control module and a control module, wherein the construction module is used for the production system to be used for officially gray release, and a shadow system of the production system is constructed in a high-coupling risk approval process, the shadow system comprises a plurality of process nodes which are completely the same as the production system, and the shadow system is used for testing the influence of the process nodes of a strategy to be released on the whole process nodes;
the processing module is used for publishing the strategy to be published to the corresponding flow nodes in the shadow system, wherein the process module is used for firstly placing the flow nodes with the strategy to be published in the corresponding flow nodes of the shadow system as test nodes, determining the number of the flow nodes and the associated flow nodes associated with the flow nodes of the strategy to be published to judge the coupling influence among the associated flow nodes so as to simulate the production system to execute pre-publishing and apply the strategy to the production system after testing the strategy to be published;
the recording module is used for setting a user group and the preset number of the user group according to the content of the test strategy and the flow nodes of the strategy to be issued, screening user requests of the set user group, executing the screened user requests in parallel with the shadow system in the production system except for the flow nodes of the strategy to be issued and the same as the flow nodes of the strategy to be issued, and recording operation data in the production system and the shadow system respectively;
the comparison module is used for automatically comparing the operation data of the production system and the shadow system and judging whether the difference of the production system and the shadow system is in a preset range or not; the automatic comparison includes: comparing and analyzing the data pulled by the database or automatically comparing various indexes of the production system and the shadow system observed by the decision engine monitoring system; before the gray level release is performed or before the gray level release test is performed, setting an index change range in the strategy requirement as a preset range;
and the release module is used for releasing the strategy to be released into the production system according to a preset gray level release rule when the difference is in a preset range.
9. The system of claim 8, wherein the policy issuing system further comprises a judging module, the judging module is configured to automatically compare operation data of the production system and the shadow system at each process node respectively, and judge whether differences of the corresponding process nodes are all within respective predetermined ranges.
10. The system of claim 9, wherein the process node is a process point of a financial product comprising at least one of: registration, credit, movable support, forehead lifting, repayment and collection.
11. The system of claim 10, wherein the operational data is a financial product indicator comprising at least one of: user passing rate, user registration probability, user credit rate, credit limit and repayment overdue rate.
12. The system according to any of claims 8 to 11, wherein the policy to be issued is a set of policies consisting of policies on individual flow nodes.
13. The system of any one of claims 8 to 11, wherein the greyscale publication rule comprises an effective proportion of greyscale deployment rules to be published, a population of users to be published, and a publication time.
14. The system of claim 13, further comprising:
the gray scale distribution rule includes: the effective proportion is gradually increased with time.
15. An electronic device, wherein the electronic device comprises:
a processor; the method comprises the steps of,
a memory storing computer executable instructions that, when executed, cause the processor to perform the method of any one of claims 1 to 7.
16. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1 to 7.
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| CN112306860A (en) * | 2020-09-24 | 2021-02-02 | 上海趣蕴网络科技有限公司 | Product gray level packet access evaluation method and system |
| CN114253600B (en) * | 2021-12-28 | 2023-11-28 | 上海淇玥信息技术有限公司 | Feature comparison method and device based on shadow system and electronic equipment |
| CN114356401A (en) * | 2022-01-12 | 2022-04-15 | 江苏安超云软件有限公司 | Gray scale distribution method and device, electronic equipment and computer readable storage medium |
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