CN113259447B - Cloud platform deployment method and device, electronic equipment and storage medium - Google Patents
Cloud platform deployment method and device, electronic equipment and storage medium Download PDFInfo
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- CN113259447B CN113259447B CN202110580934.7A CN202110580934A CN113259447B CN 113259447 B CN113259447 B CN 113259447B CN 202110580934 A CN202110580934 A CN 202110580934A CN 113259447 B CN113259447 B CN 113259447B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
Abstract
The present invention relates to the field of cloud computing technologies, and in particular, to a cloud platform deployment method and apparatus, an electronic device, and a storage medium. The cloud platform deployment method comprises the following steps: acquiring node information of a node of a cloud platform to be deployed; according to the node information, searching a deployment file packet for deploying the node in a deployment file packet database; and deploying the cloud platform at the node based on the deployment file package. According to the cloud platform deployment method, the cloud platform deployment device, the electronic equipment and the storage medium, the problem that the deployment task is difficult to complete quickly due to the fact that the number of nodes of the cloud platform is increased continuously can be solved, the nodes can be deployed by searching the deployment file package from the deployment file package database, and the cloud platform can be deployed quickly.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to the technical field of aviation fuel filling cloud computing, and particularly relates to a cloud platform deployment method and device, electronic equipment and a storage medium.
Background
With the continuous development of cloud computing technology, cloud platforms are widely applied in more and more business fields to achieve wireless, electronic, automatic and intelligent resource management and resource service.
Taking the field of airport refueling business as an example, the intelligent refueling system for refueling management is established in various layers of organizational structures such as a aviation refueling headquarters, a trunk airport aviation refueling station, a branch airport aviation refueling station and the like, application services of the intelligent refueling system relate to multiple departments such as production, finance, customer service, management and the like and are used for aviation refueling, oil charge settlement, personnel, vehicles, equipment management and the like, and a cloud platform can be established in physical equipment and application services of each internet of things edge node in the intelligent refueling system.
However, as the application range of the system is continuously expanded, more and more nodes such as a newly-added trunk airport aviation station and the like which need to deploy the cloud platform are provided, the burden of cloud platform deployment is increased, and the existing deployment method is difficult to rapidly complete a large number of deployment tasks, so a faster and more efficient cloud platform deployment mode is required.
Disclosure of Invention
In view of the fact that nodes needing to deploy cloud platforms are increased continuously and the existing cloud platform deployment method is difficult to complete deployment tasks quickly, the invention provides a cloud platform deployment method, a cloud platform deployment device, electronic equipment and a storage medium. According to the cloud platform deployment method, the cloud platform deployment device, the electronic equipment and the storage medium, the nodes can be deployed by searching the deployment file package from the deployment file package database, so that the cloud platform can be rapidly deployed.
According to a first aspect of the invention, a cloud platform deployment method is provided. The cloud platform deployment method comprises the following steps: acquiring node information of nodes of a cloud platform to be deployed; according to the node information, searching a deployment file packet for deploying the node in a deployment file packet database; and deploying the cloud platform at the node based on the deployment file package.
Optionally, searching for a deployment package for deploying the node in a deployment package database according to the node information includes: judging whether the node belongs to a pre-stored node list or not according to the node information, wherein the node list comprises node information of a plurality of nodes; and in response to judging that the node belongs to the node list, searching a deployment file packet for deploying the node in the deployment file packet database.
Optionally, according to the node information, searching a deployment package for deploying the node in a deployment package database, further including: and in response to the judgment that the node does not belong to the node list, adding the node information to the node list, establishing a new deployment file package according to the node information, and storing the new deployment file package in the deployment file package database.
Optionally, the nodes include a first node and a second node communicatively connected to the first node, and the deployment file includes a first deployment file for the first node and a second deployment file for the second node, where, based on the deployment file, the deploying the cloud platform at the nodes includes: dividing a first resource space and a second resource space from a resource space of the first node; loading the first deployment file into a first resource space of the first node; loading the second deployment file into a second resource space of the first node, and providing an interface component to the second node that accesses the second resource space.
Optionally, the resource space of the first node further includes a resource backup space, and the cloud platform deployment method further includes: and performing containerization copy backup on the running data in the first resource space and the running data in the second resource space, and storing the containerization copy in the resource backup space.
Optionally, deploying a cloud platform at the node based on the deployment file includes: reconstructing the deployment files in the deployment file package, and deploying the cloud platform on the nodes based on the reconstructed deployment files; and containerizing and storing the reconstructed deployment file.
Optionally, the deployment package includes an application component, and the cloud platform deployment method further includes: dividing the application service deployed at the node based on the application component into a plurality of micro services; and establishing a unified gateway for the plurality of micro services.
According to a second aspect of the present invention, a cloud platform deployment apparatus is provided. The cloud platform deployment device comprises: the acquiring unit acquires node information of a node of the cloud platform to be deployed; the searching unit is used for searching a deployment file packet for deploying the node in a deployment file packet database according to the node information; and the deployment unit is used for deploying the cloud platform at the node based on the deployment file package.
According to a third aspect of the invention, an electronic device is provided. The electronic device includes: a processor; a memory storing a computer program that, when executed by the processor, implements the cloud platform deployment method as described above in the first aspect.
According to a fourth aspect of the present invention, there is provided a computer-readable storage medium storing a computer program. The computer program, when executed by a processor, implements the cloud platform deployment method as described above in the first aspect.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 shows a schematic flow diagram of a cloud platform deployment method according to an exemplary embodiment of the invention;
FIG. 2 illustrates a schematic diagram of a node hardware resource deployment of a cloud platform in accordance with an exemplary embodiment of the present invention;
FIG. 3 illustrates a schematic diagram of multi-tenant isolation and access control for a cloud platform in accordance with an exemplary embodiment of the present invention;
fig. 4 shows a schematic block diagram of a cloud platform deployment apparatus according to an exemplary embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the term "comprising" is used in the embodiments of the present invention to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.
In order to enable a person skilled in the art to use the present invention, the following embodiments will be given in connection with the specific application scenario "smart refueling system for aviation refueling". It will be apparent to those skilled in the art that the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the invention. Although the invention is described primarily in the context of a cloud platform deployment of a smart fueling system for aviation fueling, it should be understood that this is but one exemplary embodiment.
One aspect of the invention relates to a cloud platform deployment method. The method can realize rapid deployment of the nodes by calling the pre-stored deployment file, and solves the problems of low deployment speed and low efficiency of the cloud platform caused by a large number of newly added nodes.
Fig. 1 shows a schematic flow diagram of a cloud platform deployment method according to an exemplary embodiment of the present invention.
The cloud platform network according to the embodiment of the present invention may include a plurality of nodes, and the cloud platform deployment method at the nodes includes the steps of:
s1, obtaining node information of nodes of the cloud platform to be deployed.
In this step, the node may be a physical device of the service center of the cloud platform to be deployed, for example, an electronic device such as a server, or may also be a virtual device, for example, a virtual machine in the electronic device, or the like. The service center may be an organization operating using or through a cloud platform, such as a trunk airport gas station or a branch airport gas station (hereinafter also referred to as "aviation station"), in the field of aviation fuel filling technology.
The node information may be information related to a service center of the cloud platform to be deployed or a service operated and managed by the service center. The node information may include, for example, the type of service center, the kind of service operated and managed by the service center, etc., and in the fuel filling technology, the node information may be, for example, the airport type of the trunk airport terminal or the branch airport terminal, the service type of the terminal, the geographical location of the terminal, etc.
The node may include a first node and a second node, and the first node may be communicatively connected with the second node, for example, the first node may be a master node and the second node may be a child node subordinate to the master node.
As an example, a first node, being a master node, may be arranged with computing resources, storage resources and network resources.
The computing resources may be resource allocation scheduled and managed through the cloud platform, thereby providing data processing and computing capabilities. The computing resources may include business servers, database servers, management clients, and scheduling clients.
In the embodiment of the present invention, the servers of the same type may be set to be at least two, and specifically, may include a main server and a standby server. For example, there may be provided 2 management service servers (primary management service server, backup management service server), 2 application service servers (primary application service server, backup application service server), and 2 database servers (primary database server, backup database server). In the operation process of the cloud platform, the main server can participate in cloud computing, and the standby server is only used for backing up data of the main server and can only communicate with the main server so as to ensure that the data cannot be lost when the main server fails.
The service server may include a management service server and an application service server. The management service server can manage the database server and the application service server. The application service server can be used for running an application program in the cloud platform so as to provide a corresponding application service. Here, the application program deployed on the cloud platform will be described in detail below.
The database server may be used to store data required for cloud computing. For example, keepalive technology may be used between the main database server and the standby database server, so as to ensure the high availability of the main database in the main database server to some extent, greatly reduce the influence of the failure of the main database on the business, reduce the pressure of the synchronization of the main database server and the standby database server on the online main database, and ensure the stability of the database and the reliability of data storage.
In the method of the embodiment of the invention, the main database of the main database server and the standby database of the standby database server can be automatically migrated and cleaned regularly. For example, when data exceeds a predetermined period of time without any service requesting access, the data may be marked as inactive data and migrated to a historical archive for archival storage. Here, the history archive may be provided to another additional database server, which may be communicatively connected with the primary database server and the backup database server for data migration. Therefore, effective data can be provided in the main database and the standby database, and when the data are invalid due to expiration, a regular automatic cleaning strategy is set, so that garbage data is reduced, and extra invalid occupation of storage space is prevented.
The management client may communicate with the management service server to operate the cloud platform management system, and is responsible for management of the cloud platform, such as grouping, authority management, mirror image deployment, and the like, for example, an add-to-air manager may manage, through the management client, an application installed on the cloud platform, such as program loading or unloading, authority management of a program visitor, and the like. The scheduling client may communicate with the application service server, for example, a user, such as a dispatcher for a fueling job, may operate an application in the application service server through the scheduling client.
Taking the aviation fuel filling technology as an example, the computing resources may provide services including at least one of: task services, alert services, tablet services, vehicle services, fuel order services, airline services, flight services, ground well services, oil well services, personnel services, department services, and rights management services.
The storage resources can provide data support for tasks and save related calculation results, and data is kept globally available. Specifically, the storage resources may include a disk array, which is used for storing the structured data and related data such as virtual machine systems in the cloud platform and cloud management. As an example, the disk array may use distributed RAID to construct a storage resource pool, and for example, the storage resource pool may include 6 hard disks, that is, 2 check disks, 1 hot spare disk, and 3 data disks, where the hard disks may be SAS hard disks. Each hard disk space is divided into a plurality of small-granularity data blocks, for example, the storage resource system may construct an RAID group based on the data blocks, so that data is uniformly distributed to all the hard disks in the storage resource pool, and at the same time, resource management is performed in units of the data blocks, which greatly improves the efficiency of resource management.
As shown in fig. 2, the primary database server and the backup database server as described above may be connected to mesh channel (FC) ports of two controllers in a disk array through host bus adapters (also referred to as HBA cards) respectively to implement data storage and backup functions. Here, the disk array may be configured with dual controllers to ensure reliability of the storage system.
In the storage system, a storage resource pool is constructed by adopting a distributed RAID, each hard disk space is divided into data blocks with small granularity, the system constructs an RAID group based on the data blocks, so that the data are uniformly distributed on all the hard disks in the storage pool, and meanwhile, the resource management is carried out by taking the data blocks as units, thereby greatly improving the efficiency of the resource management.
Network resources may include firewalls and core switches.
As an example, the firewalls may be deployed in at least two, for example, the firewall may include a main firewall and a backup firewall deployed in a dual-computer hot-standby mode, and the two firewalls may be connected through a heartbeat port, and when the main firewall fails, the backup firewall is automatically switched to, so as to improve the stability and reliability of the network.
In addition, the firewall can be deployed in a gateway mode, and can isolate the internal network from the external network through a VPN function, so that the safe transmission of data is ensured. The two firewalls are used as network outlet safety equipment, network isolation is realized through issuing of a safety strategy, access and attack of an un-trusted network and a port are avoided, and the safety of the network is ensured.
The core switches may be deployed in at least two, for example, the core switches may include 2 core switches, such as a primary core switch and a standby core switch, and the primary core switch and the standby core switch may be deployed in a stack to implement link redundancy. In addition, the data exchange of the main core switch and the standby core switch can be synchronously carried out, so that when a single link (such as the main core switch) fails, the other link (such as the standby core switch) can be in no-delay butt joint, the whole system can be ensured to continue to keep normal operation, the network reliability can be improved, and the network bandwidth can be increased.
In particular, the Master switch (Master) is responsible for managing the entire stack, with only one Master switch in each stack; the Standby switch (Standby) is a backup switch of the main switch, and when the main switch fails, the Standby switch can take over all the services of the original main switch without delay.
Here, the stacking supports cross-device link aggregation techniques, which may be implemented by configuring a cross-device Eth-Trunk interface. The user can configure the physical Ethernet ports on different member switches into an aggregation port to be connected to the upstream or downstream equipment, and link aggregation among a plurality of pieces of equipment is realized. When one aggregation link in a plurality of aggregation links fails or one member switch in the stack fails, the Eth-Trunk interface redistributes the flow to other aggregation links through the stack cables, so that the backup between the links and the backup between the devices is realized, and the reliable transmission of the data flow is ensured.
In the above embodiment of the present invention, 2 firewalls may use 2 core switches for gigabit port dual-peering, 4 service servers perform dual network card binding, and 2 core switches for gigabit port dual-peering are used, and 2 database servers are connected to the disk array through FC light, so as to implement high-speed processing and storage of network data.
And S2, searching a deployment file for deploying the node in the deployment file packet database according to the node information.
In this step, the deployment package database may have a deployment file pre-stored therein, and the deployment package database may be managed by adding a type tag and a version tag to the deployment file, for example, so that a quick query and call of the deployment file may be provided.
The deployment file may include system files, application components, and configuration files of the deployment cloud platform.
The system file can be used for building an overall architecture supporting application component operation and data management on the cloud platform, the application component can be an application program installation file of an application service provided by the cloud platform for a user, the application service can refer to functions or tasks which can be realized through the application program, and the configuration file can be used for configuring the system file and the application component on hardware of the node, such as operation environment configuration, communication relation configuration between the application programs and the like.
In an example, searching for a deployment file for deploying a node in pre-stored deployment files according to the node information may include: judging whether the node belongs to a pre-stored node list or not according to the node information, wherein the node list comprises node information of a plurality of nodes; and searching a deployment file packet for deploying the node in a deployment file packet database in response to judging that the node belongs to the node list.
Specifically, different types of nodes of the cloud platform that need to be deployed can be determined according to actual application needs, a node list containing information of each type of node is established, and a packaged deployment file for each type of node can be prestored.
Specifically, the system files, the application components and the configuration files may be multiple, and different types of nodes may only need a part of the multiple system files, the multiple application components and the multiple configuration files. Such a deployment process needs to be repeatedly executed each time a node is deployed, and when the number of nodes to be deployed is large, it is not beneficial to improve the deployment speed and efficiency.
According to the embodiment of the invention, the required system files, application components and configuration files can be constructed or selected according to the type of the node, and the constructed or selected system files, application components and configuration files can be compressed into a deployment file package. The deployment package may be, for example, an image file obtained based on system files, application components, and configuration files corresponding to the respective nodes. When a new node needs to be accessed, whether the node belongs to a known node type in a node list or not can be judged firstly, if the node belongs to the node list, a packaged deployment file package (for example, an image file) corresponding to the type of the node can be directly provided for the node for platform deployment, and files related to the new node do not need to be searched from all deployment files each time the new node is accessed.
In another example, according to the node information, finding a deployment file package for deploying the node in a pre-stored deployment file may further include: and responding to the judgment that the node does not belong to the node list, adding the node information into the node list, establishing a new deployment file package according to the node information, and storing the new deployment file package in a deployment file package database.
Specifically, when the new node does not belong to the node list, it may be considered that the node type has not been deployed previously, and according to the node information of the node, the system file, the application component, the configuration file and the like required for deploying the node may be searched from all the deployment files and packaged to form a new deployment file package to be stored in the deployment file package database.
And S3, deploying the cloud platform at the node based on the deployment file package.
In this step, the cloud platform may be deployed at the node based on the deployment package obtained by querying the deployment database.
In an example, the cloud platform may be deployed at the node based on the deployment file in the obtained deployment file package. For example, a corresponding application component may be selected from a deployment file in a deployment file package for installation to a node through a console of the cloud platform.
In another example, a deployment file in the acquired deployment files may be reconstructed, then the cloud platform may be deployed at a node based on the reconstructed deployment file, and the reconstructed deployment file may be containerized and stored. For example, taking the deployment file of the application as an example, the developer may rebuild the newly developed code into the base image file by taking the base image file of the application component included in the deployment package as a support, for example, add a new application plug-in or component to the base image file or modify an existing application, and deploy the corresponding application based on the deployment file after adding the new application plug-in or component or modifying the existing application. The reconstructed deployment file may be containerized and stored for later invocation, for example, the containerized reconstructed deployment file may be sent to other nodes for deployment. In this way, addition or modification can be performed on the basis of the deployment files (e.g., application components) in the deployment file package, and the efficiency of system or application development is improved.
Through the deployment modes of the two examples, the application can be constructed quickly, and the automatic operation process of constructing and deploying the application on the cloud platform can be realized.
The application services described above may include BFF (backups For Frontends) services and background services. The BFF service may refer to a backend service serving the front end, which may be a middleware between the front end and the backend, so that the front end and the backend do not affect each other, and when the backend service migrates, only the BFF service may be modified without adjusting the front end. Here, the BFF service may not require token authority authentication, while the background service may require token authority authentication.
Taking the aviation fuel filling technology as an example, the BFF service may include Zuul gateway service, webSocket service, login service, scheduling Web service, map display Web service, map Web service, digital large screen service, and APP service.
In particular, the Zuul gateway service may provide gateway services over Zuul. Vehicle management services may manage the vehicle, including the vehicle's state, location, path planning, etc. The WebSocket service may perform messaging through WebSocket. The login service may provide login functionality. The scheduling Web service can realize scheduling service in the Web interface and can perform scheduling in the scheduling Web interface. The map display Web service displays a map in a Web interface. The map Web service implements functions including map management and the like in addition to map display. The digital large-screen service displays key information such as flights, oil quantity, tasks and the like through a large screen, so that a manager can conveniently observe the information. The APP service may be implemented in a filler client, such as a handheld tablet computer, for the filler to procure, confirm, perform tasks.
Taking the aviation fuel filling technology as an example, the background services may include flight service, aviation display analysis service, flight change log service, map background service, task change log service, aviation display writing service, airline docking service, ERP docking service, airport docking service, and statistical analysis service.
In particular, the flight service may be used to manage all data related to flights. The navigation display analysis service can analyze and display the information required to be displayed on a large screen. The flight change logging service can log when the flight has artificial changes. The map background service can be a support service of the map system background. The task change logging service may log when a task is artificially changed. The avionics write service may write the processed data to the avionics system. The airline docking service can export the processed data to the airline. The ERP docking service may output the processed data to a headquarters Enterprise Resource Planning (ERP) system. The airport docking service may output the processed data to the airport. And the statistical analysis service performs statistical analysis on people, objects and resources in the whole scheduling process.
According to the embodiment of the invention, the cloud platform can adopt a unified multi-cluster architecture, namely, a center cluster and a service cluster can be deployed, the center cluster can uniformly manage and schedule all the service clusters, and the service clusters can deploy service application services.
As an example, the service cluster may include a plurality of first nodes, each of which may be communicatively connected with one or more second nodes, and the cloud platform deployment method according to the embodiment of the present invention may deploy the cloud platform only at the first nodes without deploying the cloud platform at the second nodes.
Specifically, the deployment package may include a first deployment file for a first node and a second deployment file for a second node, wherein the step of deploying the cloud platform of the nodes may include: dividing a first resource space and a second resource space from a resource space of a first node; loading a first deployment file into a first resource space of the first node; the second deployment file is loaded into a second resource space of the first node and an interface component that accesses the second resource space is provided to the second node.
Taking the aviation fuel filling technology as an example, the cloud platform can comprise a center cluster deployed at an aviation fuel filling headquarters and a business cluster deployed at a trunk airport aviation station, and can be independently deployed with a smart fuel filling system cloud platform at the trunk airport aviation station so as to realize the production functions of fuel filling guarantee scheduling, data acquisition, fuel sheet uploading, vehicle management, personnel management and the like of the trunk airport aviation station and the adjacent branch airport aviation station facing the airport aviation station. Each trunk airport navigational station may be communicatively coupled to a feeder airport navigational station, where a first node may be deployed at the trunk airport navigational station and a second node may be deployed at the feeder airport navigational station. The nodes of the trunk airport aviation station can comprise a server, a PC client and the like, and the nodes of the branch airport aviation station can comprise a handheld communication terminal, a refueling truck vehicle-mounted communication device and the like.
In order to optimize resource management and scheduling between the trunk airport navigational station and the branch airport navigational station, the resource space of the nodes of the trunk airport navigational station can be divided into a trunk resource space and a branch resource space. In this example, the first deployment file may include system files for deploying the smart fueling system and application components for deploying application services at a trunk airport, and the second deployment file may include application components for deploying application services at a branch airport.
When a cloud platform is deployed at a node of a trunk airport augmentative station, a first deployment file may be deployed in the trunk resource space for overall management and traffic scheduling of the trunk airport augmentative station, and a second deployment file may be deployed in the spur resource space for traffic scheduling of the spur airport augmentative station. Accordingly, an interface component of a feeder field augmentative station may be generated and provided, through which a node of the feeder field augmentative station may access a feeder resource space located in a resource space of a trunk field augmentative station via a communication connection, and may read and write data.
Here, the interface component may be, for example, an API interface with authority verification, and a node of the feeder airport station may provide identity information through the interface component for verification to enable access to the feeder resource space.
Furthermore, according to an embodiment of the present invention, the resource space of the first node may include a resource backup space, and the cloud platform deployment method further includes: and performing containerization copy backup on the running data in the first resource space and the running data in the second resource space, and storing the containerization copy in the resource backup space. Here, the run data may refer to data generated during the run of a system and/or application deployed in the resource space. Resource space may refer to space used to run and store data for systems and applications, e.g., it may refer to space in a resource facility such as the computing, storage, and network resources described above.
For example, the systems deployed in the first resource space and the second resource space and used for the first node and the second node may continuously generate operating data during the operation process, and the operating data may be containerized and backed up in the resource backup space of the first resource space as a containerized copy, so that the systems can normally operate by calling the backed-up containerized copy when a system error occurs and is down. Here, the number of containerized copies may be multiple, and thus may not affect the basic service capabilities of the system software when a single container is down. In addition, the running data for the second node in the second resource space is backed up to the resource backup space of the first resource space, so that the integrity of the data of the second node can be further guaranteed.
In a traditional application delivery mode, a large amount of coupling exists between an application program and a bottom layer system environment, so that the deployment and operation and maintenance work of the application program in different environments have different degrees of difference, and various unexpected problems are easy to occur, so that the delivery operation and maintenance difficulty is increased. According to the cloud platform deployment method, the operation data of different systems or applications can be containerized respectively and stored in the resource backup space. As an example, the operational data may be containerized by a docker container solution. According to the embodiment of the invention, the application program and the middleware thereof can be packaged to be used as the containerized image file delivered in a standardized manner so as to carry out unified management on the cloud platform, the transparent application of the bottom environment is realized, and the containerized image file can be repeatedly deployed at any height by only once construction.
Moreover, the virtualization of the running data facilitates automatic migration and automatic recovery of the system. In particular, since the application may be executed in a container virtualization manner, when migration of the application is required, the containerized execution data may support arbitrary scheduling migration of the application within the system environment, for example, when a server on which the application is executed (e.g., the above-mentioned main application management server) is down, the containerized execution data may automatically drift to other servers (e.g., the above-mentioned standby application management server) to be continuously executed, so as to implement automatic migration and automatic recovery of the application.
In addition, the cloud platform deployment method according to the embodiment of the present invention may further include: and carrying out mirror image backup on the deployment file package of the node.
Specifically, as described above, the cloud platform may be deployed at the node based on the deployment files in the deployment file package, wherein an image backup file of the deployment files for deploying the node and a configuration information backup file for deployment may be generated, and the image backup file and the configuration information backup file may also be stored in the resource backup space. In this example, when all containerized copies of containerized system software are down, the system container may be restarted by starting the image backup file and adding configuration according to the configuration information backup file.
In addition, the cloud platform deployment method according to the embodiment of the present invention may further include: and distributing authority levels for service requesters of the cloud platform, and dividing resources of the cloud platform according to the authority levels.
Specifically, the cloud platform may provide a multi-level authority management mechanism, and divide resources of the cloud platform according to authority levels, so that resource contents that service requesters with different levels of authority can access are different. As an example, the classification may be performed by RBAC grouping, and taking the aviation fuel filling process as an example, the authority of the aviation fuel filling headquarters, the aviation fuel filling provincial companies, the trunk airport aviation filling stations, and the branch airport filling stations may be sequentially lowered, that is, the accessible resource range becomes smaller. An administrator of the aviation fuel filling headquarters can be matched with RBAC authority authentication through cluster management and partition management.
As an example, resources deployed at a node may be grouped from at least one of a tenant dimension, a team dimension, a user dimension, a role dimension, and a permission dimension.
Specifically, a tenant may represent a fully isolated right allocation to platform resources, that is, applications and supporting resources between different tenants are isolated on the platform, and the tenant cannot access resources of other tenants. As shown in fig. 3, resources accessible to tenant a and tenant B are completely isolated from each other, and cannot access resources of each other. Taking the aviation fuel filling technology as an example, the tenant may be a feeder airport aviation filling station. In addition, as shown in fig. 3, a system administrator, a tenant administrator, and an application administrator may be allocated to the cloud platform, where the system administrator may have the highest authority, which may manage all resources in the cloud platform, the tenant administrator may manage and schedule resources of at least a part of tenants, and the application administrator may manage and maintain only applications running in the cloud platform without access to relevant information of users or tenants. In addition, the cloud platform can be configured with read-only permission, and when the platform is logged in at the permission level, the resources on the platform can only be read, and the editing cannot be performed.
The users may be operational entities of an operational platform, a team may represent a collection of a group of users, a particular application and corollary resources may be open only to a particular team, and applications within one team may not be visible to other teams. As shown in fig. 3, the users a, B, and C may be personnel logging in a platform to perform service operations, taking aviation fuel filling communication as an example, the users may be refueling personnel performing on-site refueling operations, or may be dispatcher performing fuel filling scheduling, the users may access a cloud service center and use cloud services, and the cloud services accessible by different users may be different.
Roles may be bound to a user, which may represent the ability of the user to be authorized to perform some set of permissions contained by the role, which may be temporary or staged. The permissions can be resource objects that can be managed specifically, and a set of permissions is bound to a certain role to authorize the user to access the set of permissions resources.
In addition, the cloud platform deployment method according to the embodiment of the present invention may further include: and establishing a dependency relationship between the application programs deployed based on the deployment files in the deployment file package.
Specifically, in the case that the deployment file package includes application components, after the application programs are deployed on the node based on the application components, the dependency relationship between the application programs may be established, and a topology structure between the application programs is formed, so that discrete application components are connected into an overall system engineering.
For example, a cloud platform may implement large-scale service orchestration capabilities for containers of application components using a kubernets solution, which may define application lifecycle, scheduling rules, component dependencies, etc. in a single configuration file via declarative language YAML. In this case, once deployed in a node, the application component can continue to monitor the application instance through kubernets, causing the application to automatically attempt to maintain the state defined in the orchestration file in any event.
In addition, the cloud platform deployment method according to the embodiment of the present invention may further include: and carrying out load balancing on the flow of the application program deployed on the cloud platform based on the deployment file in the deployment file package.
Specifically, as the number of applications loaded in the cloud platform increases, the load of cloud computing increases, and in this case, the traffic of the cloud platform may be load-balanced. By way of example, 4-layer load balancing may be employed to distribute traffic to different application instances according to specified rules and to map load balancing ports onto host ports to provide external access capabilities. As another example, 7-layer load balancing may also be employed, which may be implemented using a software or hardware load balancing scheme such as Nginx, F5, etc., and may provide dynamic load balancing distribution capability in conjunction with application health checking.
In addition, the cloud platform deployment method according to the embodiment of the present invention may further include: and elastically expanding a plurality of application programs deployed on the cloud platform based on the deployment files in the deployment file package.
Specifically, the elastic expansion may refer to that, when an access traffic peak is encountered, the number of applications may be quickly expanded by setting the number of container instances in a management console through an administrator, so as to achieve the purpose of laterally expanding processing performance, and thus, physical computing resources of the cloud platform may be effectively and reasonably utilized.
In addition, the cloud platform deployment method according to the embodiment of the present invention may further include: dividing application services deployed on the nodes based on the application components included in the deployment file package into a plurality of micro services; and establishing a unified gateway for the plurality of micro services.
Specifically, a plurality of micro services may be included in the Cloud platform, and a micro service may refer to a service that constructs an application service as a set of loosely coupled services, each application service is composed of a plurality of loosely coupled and independently deployable micro services, and as an example, a micro service application architecture may be implemented based on a Java Spring Cloud technology stack. Different micro services have different network addresses, and as the number of the micro services can usually reach dozens or even hundreds, a client needs to remember dozens or even hundreds of network addresses respectively corresponding to the micro services when accessing the micro services.
By way of example, the microservice gateway may be an Application Program Interface (API) gateway that may act as the only portal to the outside of the system. The API gateway may comprise a server. The API gateway may encapsulate the system internal architecture, providing a customized API for each client. For the micro-services, all application access capabilities can be uniformly defined and managed through the application gateway, so that the centralized encapsulation of all the APIs of the micro-services at the API gateway is facilitated, the internal structure of the system is protected, the security check and the flow control of the request are realized, and the system avalanche caused by abnormal pressure is avoided.
The step of setting up a gateway for the microservice of the cloud platform may comprise at least one of:
defining interface rules by which each of the microservices is exposed to a gateway,
setting a security policy at the gateway and authenticating the request for each of the microservices at the gateway;
defining a flow rule, and monitoring real-time flow according to the flow rule;
carrying out controllable forwarding on the request route at the gateway side according to a preset load algorithm;
a timeout processing mechanism: in order to prevent the system from being blocked due to no response of a certain request, a default threshold value is set for the overtime of an interface so as to ensure the overall performance stability of the system;
and setting a visitor blacklist/white list, wherein visitors in the blacklist are refused to access the micro service interface through the gateway, and visitors in the white list can directly access the micro service interface through the gateway without authentication.
In the above steps, the security policy may include various modes such as password, key, JWT, OAuth, and the like, and request authentication is performed uniformly at the gateway side, so that a large amount of repeated work caused by authentication for each service interface can be reduced. The flow rule can be defined through software, when the real-time flow is monitored to be abnormal (for example, the flow exceeds a preset flow value), alarm information can be generated and sent to a console of the cloud platform, and therefore the adverse effect of the abnormal flow on the occupation of system resources can be eliminated in time.
In addition, the cloud platform deployment method according to the embodiment of the present invention may further include: grouping the micro-services; the group of micro-services is published in one of a hot publishing manner, a blue-green publishing manner, and an online rollback manner.
Specifically, for the micro-services belonging to the same business domain, grouping can be performed on the platform to reduce the micro-service management range of each business domain. For grouped micro-services, the micro-services can be supported by one mechanism of hot publishing, blue-green publishing and online rollback to carry out online and offline operations so as to maintain the continuity of the service.
In the aviation fuel filling technology, since the application scene is a form of data allopatric distribution (for example, a trunk airport and a branch airport are located at different positions), service distribution can be controlled through a blue-green distribution mechanism. The blue-green publication may have efficient upgrade and rollback, and the traffic may be full direct switchover.
In addition, the cloud platform deployment method according to the embodiment of the present invention may further include: and grouping the application services deployed at the nodes, and establishing a configuration center for storing application configuration files for each group of application services.
Specifically, the cloud platform may include a plurality of application services, each application service is configured with a corresponding configuration item, and as the number of the application services increases, the number of configuration files increases, in this case, the application services may be grouped, a configuration center may be established for each group of application services, and the configuration files of a group of application services are stored in the corresponding configuration center.
In addition, the cloud platform deployment method according to the embodiment of the present invention may further include: link monitoring is designed between application services deployed to nodes based on deployment files in a deployment file package.
In an example, link monitoring can be designed by establishing a topological structure of application services deployed at nodes, and operation and maintenance personnel can perform operation and maintenance management through the relevance between the application services displayed in the topological structure, so that system errors can be quickly positioned, and error troubleshooting time is reduced.
The application monitoring design is based on a non-invasive probe to realize rapid application access, multi-dimensional monitoring can be carried out on service performance, JVM (Java virtual machine) running state, thread state, environment state and log information, resource utilization state monitoring is provided, and the service state of the application is monitored all the time.
In another example, an event trigger may be configured for an application service, which may push alert notifications (platform messages and emails) to designated principals in response to the occurrence of an exception event when any undesirable running state of the application occurs. Here, the event trigger may be bound to the application probe.
In addition, the cloud platform deployment method according to the embodiment of the present invention may further include: and establishing a cloud platform operation audit log.
Specifically, in the deployment of the cloud platform, an audit log for recording cloud platform operation events can be established, after the cloud platform is put into use, the audit log can automatically record application fault events, platform abnormal events and manual operation events, and when an operation error is reported, operation and maintenance personnel can inquire the audit log to check the error reason and timely maintain the operation and maintenance. In addition, the audit logs can be analyzed periodically to evaluate the health state of the cloud platform, so that the framework of the cloud platform can be optimized conveniently.
The cloud platform is used as a core part of the project support platform, and the platform operation can directly define the application state. Although the design of tenants and authorities reduces the authority operation range, application failures caused by unexpected manual operations are inevitable.
In addition, the cloud platform deployment method according to the embodiment of the present invention may further include: and establishing a cloud platform monitoring instrument panel.
Specifically, in actual operation, the operation state of all the capabilities of the cloud platform load-bearing system facing the application operation and maintenance is usually very complex, and an administrator needs to quickly and intuitively know the real-time state of operation of each application component on the whole platform and perform maintenance in time. Here, the monitoring dashboard may be a web interface that may provide dashboard views of the operating conditions of the application components and the micro-service operating conditions, the dashboard views may contain platform major key information such as instance health, micro-service interface response conditions, resource analysis, performance analysis, exception alerts, and the like.
In addition, the cloud platform deployment method according to the embodiment of the present invention may further include: and establishing middleware between the application services deployed in the nodes based on the deployment files in the deployment file package, and designing management plug-ins for the middleware.
In particular, middleware may provide interaction between application services and may provide an interface with application services at the operating system. Management plug-ins can be designed for the middleware, for example, a plurality of middleware can be classified according to the functions of the middleware or the positions of the middleware in the system topology, and the management plug-ins can be designed for each type of middleware so as to facilitate maintenance and monitoring of the middleware by operation and maintenance personnel.
According to the cloud platform deployment method provided by the embodiment of the invention, the deployment file package can be searched from the deployment file package database to deploy the node, so that the rapid deployment of the cloud platform can be realized. For example, in the oil refueling technology, an existing intelligent refueling system platform for oil refueling can be rapidly deployed at a node (e.g., a trunk airport refueling station) at the edge of each internet of things, so as to be capable of adapting to a deployment task in a situation that a plurality of nodes need to be newly accessed.
Fig. 4 shows a schematic block diagram of a cloud platform deployment apparatus according to an exemplary embodiment of the present invention.
As shown in fig. 4, the cloud platform deployment apparatus according to the exemplary embodiment of the present invention includes an acquisition unit 100, a search unit 200, and a deployment unit 300.
The obtaining unit 100 may obtain node information of a node where the cloud platform is to be deployed.
The search unit 200 may search the deployment package for deploying the node in the deployment package database according to the node information.
The deployment unit 300 may deploy the cloud platform at the node based on the deployment package.
The obtaining unit 100, the searching unit 200, and the deploying unit 300 may execute corresponding steps in the method according to the cloud platform deployment method in the method embodiment shown in fig. 1 to fig. 4, for example, the steps are implemented by machine readable instructions executable by the obtaining unit 100, the searching unit 200, and the deploying unit 300, and specific implementation manners of the obtaining unit 100, the searching unit 200, and the deploying unit 300 may refer to the method embodiment described above, and are not described herein again.
The embodiment of the invention also provides electronic equipment, which comprises a processor and a memory. The memory stores a computer program. When the computer program is executed by a processor, the cloud platform deployment method implemented in the method embodiments shown in fig. 1 to fig. 4 described above performs corresponding steps in the method, for example, by machine readable instructions executable by an electronic device, and specific implementation manners of the electronic device may refer to the above-described method embodiments, which are not described herein again.
An embodiment of the present invention further provides a computer-readable storage medium storing a computer program, where the computer program can execute the steps of the cloud platform deployment method in the method embodiments shown in fig. 1 to 4 when executed by a processor, and specific implementation manners may refer to the method embodiments and are not described herein again.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme of the invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
According to the cloud platform deployment method, the cloud platform deployment device, the electronic equipment and the storage medium, the nodes can be deployed by searching the deployment file package from the deployment file package database, so that the cloud platform can be rapidly deployed.
In addition, according to the cloud platform deployment method, the cloud platform deployment device, the electronic equipment and the storage medium, the customized deployment files of different types of nodes can be established by establishing the node list and updating the node list and the corresponding deployment files according to new node types.
In addition, according to the cloud platform deployment method, the cloud platform deployment device, the electronic device and the storage medium of the present invention, the resource space of the node can be divided so as to manage the resources belonging to different nodes.
In addition, according to the cloud platform deployment method, the cloud platform deployment device, the electronic equipment and the storage medium, the containerized copy can be performed on the running data so as to maintain the running continuity of the system when the system fails.
In addition, according to the cloud platform deployment method, the cloud platform deployment device, the electronic equipment and the storage medium, a unified gateway can be set up for a plurality of micro services, network addresses required by the clients for accessing the micro services are reduced, and the storage pressure of the clients is relieved.
In addition, according to the cloud platform deployment method, the cloud platform deployment device, the electronic device and the storage medium, the cloud platform can be deployed in a container virtualization mode, and can be operated in a container virtualization management mode, so that resources are effectively saved, and the utilization rate of the resources is improved.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A cloud platform deployment method, comprising:
acquiring node information of a node of a cloud platform to be deployed;
according to the node information, searching a deployment file packet for deploying the node in a deployment file packet database;
deploying a cloud platform at the node based on the deployment file package;
according to the node information, searching a deployment file package for deploying the node in a deployment file package database, wherein the method comprises the following steps:
judging whether the node belongs to a pre-stored node list or not according to the node information, wherein the node list comprises node information of a plurality of nodes;
in response to the judgment that the node belongs to the node list, searching a deployment file packet for deploying the node in the deployment file packet database; the deployment file package is obtained by constructing or selecting required system files, application components and configuration files according to the type of the node and compressing the system files, the application components and the configuration files.
2. The cloud platform deployment method of claim 1, wherein finding a deployment package for deploying the node in a deployment package database based on the node information further comprises:
and in response to the judgment that the node does not belong to the node list, adding the node information to the node list, establishing a new deployment file package according to the node information, and storing the new deployment file package in the deployment file package database.
3. The cloud platform deployment method of claim 1, wherein a node comprises a first node and a second node communicatively connected to the first node, the deployment files comprising a first deployment file for the first node and a second deployment file for the second node,
wherein deploying a cloud platform at the node based on the deployment file comprises:
partitioning a first resource space and a second resource space from a resource space of the first node;
loading the first deployment file into a first resource space of the first node;
loading the second deployment file into a second resource space of the first node, and providing an interface component to the second node that accesses the second resource space.
4. The cloud platform deployment method of claim 3, wherein the resource space of the first node further comprises a resource backup space, the cloud platform deployment method further comprising:
and performing containerization copy backup on the running data in the first resource space and the running data in the second resource space, and storing the containerization copy in the resource backup space.
5. The cloud platform deployment method of claim 1, wherein deploying a cloud platform at the node based on the deployment file comprises:
reconstructing the deployment files in the deployment file package, and deploying the cloud platform on the nodes based on the reconstructed deployment files;
and containerizing and storing the reconstructed deployment file.
6. The cloud platform deployment method of claim 1, wherein the deployment package includes application components therein, the cloud platform deployment method further comprising:
dividing the application service deployed at the node based on the application component into a plurality of micro services;
and establishing a unified gateway for the plurality of micro services.
7. A cloud platform deployment device, the cloud platform deployment device comprising:
the acquiring unit acquires node information of a node of the cloud platform to be deployed;
the searching unit searches a deployment file packet for deploying the node in a deployment file packet database according to the node information;
the deployment unit is used for deploying the cloud platform at the node based on the deployment file package;
when the search unit is configured to search, according to the node information, a deployment package for deploying the node in a deployment package database, the search unit is specifically configured to:
judging whether the node belongs to a pre-stored node list or not according to the node information, wherein the node list comprises node information of a plurality of nodes;
in response to determining that the node belongs to the node list, searching a deployment file package for deploying the node in the deployment file package database; the deployment file package is obtained by constructing or selecting required system files, application components and configuration files according to the type of the node and compressing the system files, the application components and the configuration files.
8. An electronic device, characterized in that the electronic device comprises:
a processor;
a memory storing a computer program that, when executed by the processor, implements the cloud platform deployment method of any one of claims 1 to 6.
9. A computer-readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the cloud platform deployment method of any one of claims 1 to 6.
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