CN112069150B - System architecture of flexible employment service platform - Google Patents
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Abstract
The invention discloses a system architecture of a flexible employment service platform, which is built based on Kubernets and Docker. Wherein, the system architecture comprises: the front end comprises a flexible employment enterprise end, a flexible employment personnel end, a flexible employment supervision end and a flexible employment platform management end; the business middle desk at least comprises a product management service module, a user service module, an order service module, a financial service module and other support service modules; the data center station at least comprises product information, order information, financial information, operation information and marketing information; and the real-time warehouse is used for analyzing and calculating the real-time service data generated by the service middling station. The system architecture of the flexible employment service platform provided by the embodiment of the invention can provide comprehensive and complete flexible employment service, and the flexibility and the stability of the employment platform built by the system architecture are higher.
Description
Technical Field
The embodiment of the invention relates to the technical field of system architectures of platforms, in particular to a system architecture of a flexible employment service platform.
Background
Under the background of new economy and new business states, as the flexible employment of new employment states, the market demand is large at present, and therefore a large number of flexible employment platform systems are derived.
Other solutions aiming at flexible employment in the current market only solve the finance and tax risk problem of enterprises, and do not solve the problems of flexible employment personnel guarantee and government supervision at all. Moreover, the existing system architecture of the flexible employment service platform is generally built based on a vertical architecture system built on J2EE, all functions of the system architecture built based on the method are integrated in one project, along with the development of services, the development, the expansion and the maintenance of the functions become more and more difficult, and meanwhile, the expansion cost of the system performance is too high, so that the normal operation of the services is seriously influenced.
Disclosure of Invention
The invention provides a system architecture of a flexible employment service platform, which is more comprehensive in service and stronger in system availability.
The system architecture of the flexible employment service platform provided by the embodiment of the invention is built based on Kubernets and Docker, and comprises the following components:
the front end comprises a flexible employment enterprise end, a flexible employment personnel end, a flexible employment monitoring end and a flexible employment platform management end and is used for providing service information for corresponding target objects through different front ends;
the business center at least comprises a product management service module, a user service module, an order service module, a financial service module and other support service modules and is used for providing service information for the front end;
the data center station at least comprises product information, order information, financial information, operation information and marketing information and is used for integrating and analyzing data;
and the real-time warehouse is used for analyzing and calculating the real-time service data generated by the service middling station.
Optionally, the system architecture further includes a gateway, and the gateway is an API gateway module built based on Kong.
Optionally, the system architecture further includes a data storage module built based on a storage database, and the data storage module is used for supporting the operation of the service center station.
Optionally, the front end is built by adopting a large front end technology.
Optionally, the service modules of the service center are built by using a spring boot and a Dubbo distributed architecture, and each service module is split into at least one subsystem service based on a micro-service architecture.
Optionally, the real-time data warehouse is built based on big data.
Optionally, all subsystems in the system architecture are Docker-ized, and kubernets are used for container management, so as to implement resource isolation between services.
Optionally, a gray rule is configured for each service module in the system architecture, so as to implement automatic testing and automatic delivery of the system.
Optionally, the service module in the system architecture continuously delivers the service data in a hot update manner, so that the service is not interrupted when the system is updated.
Optionally, the system architecture further includes a monitoring center, where the monitoring center is configured to monitor resource conditions of each micro service system in the system architecture in real time, and generate a warning alert when resources of the micro service system are smaller than a resource early warning threshold.
The invention builds a system architecture of a flexible employment service platform based on Kubernetes and Docker, the architecture comprises a front end, a business middle station, a data middle station and a real-time data warehouse, wherein the front end comprises a flexible employment enterprise end, a flexible employment personnel end, a flexible employment monitoring end and a flexible employment platform management end, and is used for providing service information for corresponding target objects through different front ends; the business center station at least comprises a product management service module, a user service module, an order service module, a financial service module and other support service modules and is used for providing service information for the front end; the data center station at least comprises product information, order information, financial information, operation information and marketing information and is used for integrating and analyzing data; and the real-time warehouse is used for analyzing and calculating the real-time service data generated by the service center station. The system architecture of the flexible employment service platform provided by the embodiment of the invention can provide comprehensive and complete flexible employment service, and the employment platform built by the system architecture has higher flexibility and stability.
Drawings
Fig. 1 is a schematic diagram of a system architecture of a flexible employment service platform according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1 is a schematic diagram of a system architecture of a flexible employment Service platform according to an embodiment of the present invention, and the system architecture is built based on kubernets and Docker, and provides a complete Service platform for sharing economic and flexible employment integrated Software as a Service (SaaS) that helps an employment enterprise to solve compliance of a employment enterprise, solve guarantee of flexible employment personnel, and help a government to realize supervision. Referring to fig. 1, the system architecture includes a front end, a business intermediate station, a data intermediate station, and a real-time bin.
Among them, Kubernetes, abbreviated as K8s, is an abbreviation in which 8 characters "ubernet" are replaced with 8. The Kubernets are open-source and used for managing containerized applications on a plurality of hosts in a cloud platform, the Kubernets aim to enable the containerized applications to be simply and efficiently deployed, and the Kubernets provide a mechanism for deploying, planning, updating and maintaining the applications. Docker is an open source application container engine that allows developers to package their applications and dependencies into a portable image and then release it to any popular Linux or Windows machine, as well as to implement virtualization.
The front end comprises a flexible employment enterprise end, a flexible employment personnel end, a flexible employment monitoring end and a flexible employment platform management end and is used for providing service information for corresponding target objects through different front ends. The front end in the embodiment adopts a large front end technology, and builds the Saas service platform for the managers of the flexible employment enterprises, the flexible employment personnel, the governments and the like and the employment platform, so that the problems of low guarantee of the flexible employment personnel and government supervision in the prior art are solved, and the development of the flexible employment industry can be better supported. The big front end is a general name of all front ends, and is characterized by being developed at one time and being suitable for all platforms.
The business center in this embodiment at least includes a product management service module, a user service module, an order service module, a financial service module, and other support service modules, and is configured to provide service information for the front end.
In this embodiment, the service modules of the service center are built by adopting a spring boot and a Dubbo distributed architecture, and each service module is split into at least one subsystem service based on a micro-service architecture.
Illustratively, the product management service module may include, but is not limited to, compliance product service, creative product service, security product service, financial product service subsystem service, among others; the user service module can include but is not limited to subsystem services such as client service, contract service, certificate service and authority service; the order service module can comprise subsystem services such as but not limited to order service and transaction service; the financial service module includes but is not limited to account service, bank interface service and bill service.
Furthermore, each service in the service center platform utilizes Kubernets and Dockers to carry out containerization management, all subsystems in the system architecture are Dockered, Kubernets are utilized to carry out container management, resource isolation among services is realized, and each service module is ensured to run independently without mutual influence; meanwhile, the services can be flexibly combined, and differential Saas services are provided.
Further, in the embodiment, the gray scale rule is configured for each service module in the framework, so that the automatic test and the automatic delivery of the system are realized. By configuring the gray rule, when the system version is updated, the service conforming to the gray rule uses the function of the new version, and the online of all services is completed after the new version is used stably. Therefore, the whole process from testing to online can be automatically completed without manual operation after the code development of the system architecture is completed.
Optionally, the service module in the system architecture performs continuous delivery by using a hot update mode, so as to implement uninterrupted service during system update, thereby ensuring stable operation of the service.
The architecture also comprises a monitoring center, wherein the monitoring center is used for monitoring the resource condition of each micro service system in the architecture in real time, generating a warning prompt when the resource of the micro service system is smaller than a resource early warning threshold value, and further executing operations such as automatic capacity expansion and automatic resource release by the system so as to ensure that each micro service system in the system architecture works normally.
The data center station in this embodiment at least includes product information, order information, financial information, operation information, and marketing information, and is used for data integration and analysis. Furthermore, the data center station also comprises analysis data such as financial analysis, operation analysis and marketing analysis, risk early warning can be carried out according to the analysis data generated by the data center station, the problems that the platform per se is not qualified and cannot effectively early warn in the existing scheme are solved, and meanwhile, the problems that the government cannot supervise and the like in a flexible employment scene are solved.
Further, the system architecture further comprises a data storage module built based on a storage database, and the data storage module is used for supporting the operation of the service center station. Illustratively, the storage database may be a MySql, Redis, Oss, or the like storage database.
The real-time warehouse in this embodiment is used for performing analysis and calculation according to the real-time service data generated by the service middlebox. Specifically, the real-time warehouse is built by means of large data such as MySql, Redis, Oss and the like, real-time service data generated by the service center station is analyzed and calculated through the real-time warehouse, and an analysis calculation result is output to the data center station.
Further, the system architecture further includes a gateway, and the gateway is an Application Programming Interface (API) gateway module built based on Kong. The API gateway isolates external requests and internal services, and realizes the control of system monitoring, current limiting, fusing, authentication, authority and the like by using the safety mechanism of the gateway, thereby ensuring the safety and stability of the system.
Further, the technical support in the embodiment of the present invention includes some third-party middleware, such as kafka, Redis, and the like.
The embodiment of the invention provides a system architecture for establishing Saas service for flexible employment based on Kubernets and Docker, which utilizes big data means such as AirFlow, Kafka, FLink and the like to establish a real-time computing platform, and establishes an applicable service center station and data center station based on corresponding service requirements and industrial characteristics in a flexible employment scene, thereby meeting the service requirements in the flexible employment scene, having higher flexibility and lower development and maintenance costs.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. Those skilled in the art will appreciate that the present invention is not limited to the particular embodiments described herein, and that various obvious changes, rearrangements and substitutions will now be apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (7)
1. A system architecture of a flexible employment service platform is built based on Kubernets and Docker, and comprises the following components:
the system comprises front ends, a system management end and a system management end, wherein the front ends comprise a flexible employment enterprise end, a flexible employment personnel end, a flexible employment monitoring end and a flexible employment platform management end and are used for providing service information for corresponding target objects through different front ends;
the business center at least comprises a product management service module, a user service module, an order service module, a financial service module and other support service modules and is used for providing service information for the front end;
the data center station at least comprises product information, order information, financial information, operation information and marketing information and is used for integrating and analyzing data;
the real-time warehouse is used for analyzing and calculating the real-time service data generated by the service middlebox;
the system architecture also comprises a gateway, wherein the gateway is an API gateway module built based on Kong;
the front end is built by adopting a large front end technology;
docker is carried out on all subsystems in the system architecture, and Kubernets are used for container management so as to realize resource isolation among services.
2. The system architecture of claim 1, further comprising a data storage module built based on a storage database, for supporting the operation of the service center.
3. The system architecture of claim 1, wherein the service modules of the business center are built using a spring boot and Dubbo distributed architecture, and each service module is split into at least one subsystem service based on a micro-service architecture.
4. The system architecture according to claim 1, wherein the real-time bins are built based on big data.
5. The system architecture of claim 1, wherein gray scale rules are configured for each service module in the system architecture to enable automated testing and automated delivery of systems.
6. The framework of claim 1, wherein the service module in the framework performs continuous delivery by means of hot update, so that service is not interrupted when a system is updated.
7. The system architecture of claim 1, further comprising a monitoring center configured to monitor resource status of each micro service system in the architecture in real time and generate a warning alert when the resource of the micro service system is smaller than a resource warning threshold.
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| CN105096100A (en) * | 2015-07-01 | 2015-11-25 | 河南中欧企业咨询有限公司 | Talent mall platform based on O2O mode and method |
| CN109409845A (en) * | 2018-11-15 | 2019-03-01 | 莆田市安盾保安服务有限公司 | Security service block chain big data cloud platform system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105096100A (en) * | 2015-07-01 | 2015-11-25 | 河南中欧企业咨询有限公司 | Talent mall platform based on O2O mode and method |
| CN109409845A (en) * | 2018-11-15 | 2019-03-01 | 莆田市安盾保安服务有限公司 | Security service block chain big data cloud platform system |
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