CN115865924B - Cluster deployment method, device, equipment, medium and product - Google Patents
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Abstract
The embodiment of the application relates to the technical field of cloud computing, and provides a cluster deployment method, a device, equipment, a medium and a product, which comprise the following steps: acquiring command line information aiming at resource area deployment and input by a user as first deployment information; according to the first deployment information, deploying all available offline deployment dependent resources in the resource area; acquiring second deployment information, and acquiring deployment dependent resources required by the target cluster from the resource area according to the second deployment information; and deploying the target cluster according to the second deployment information based on the deployment dependent resources required by the target cluster. According to the method and the device, the offline resources of the acquired resource areas are called through command line information input by a user, so that dependence on online resources in the cluster deployment process is eliminated; the user can realize the cluster deployment by only filling command line information in the cluster deployment interface, so that the learning cost of the user for the cluster deployment is reduced, and the deployment of an available Kubernetes cluster is completed rapidly and efficiently.
Description
Technical Field
The embodiment of the application relates to the technical field of cloud computing, in particular to a cluster deployment method, a cluster deployment device, cluster deployment equipment, a cluster deployment medium and a cluster deployment product.
Background
Container technology is currently a popular technology, and is also the forefront technology. Since the advent of docker, deployment of application software has really been built once, and multiple environments are used. Until the Kubernetes (a portable, extensible, open-source container management platform) cluster is pushed out, its orchestration capability provides the application with load balancing, unified scheduling, batch publishing, multi-platform deployment capabilities.
However, the deployment process of Kubernetes clusters is complicated, just because of their strong container task orchestration capability. Specifically, on one hand, the Kubernete cluster configuration parameters are complex, and cluster deployment failure is easily caused by parameter configuration errors in the deployment process; on the other hand, the user needs to deeply understand and pay attention to the deployment details in the deployment process, and the user has higher learning cost on the cluster deployment flow, so that the experience is poor in deployment. Therefore, how to quickly and efficiently complete the deployment of an available Kubernetes cluster is a problem to be solved in the current field.
Disclosure of Invention
The embodiment of the application aims to provide a cluster deployment method, device, equipment, medium and product, which aims to solve the problem of how to quickly and efficiently complete the deployment of an available Kubernetes cluster.
A first aspect of an embodiment of the present application provides a cluster deployment method, including:
acquiring first deployment information, wherein the first deployment information is command line information aiming at resource area deployment and input by a user at a cluster deployment interface;
according to the first deployment information, deploying all available offline deployment dependent resources in the resource area;
acquiring second deployment information, namely acquiring deployment dependent resources required by a target cluster from the resource area according to the second deployment information, wherein the second deployment information is command line information which is input by a user at a cluster deployment interface and aims at cluster deployment;
and deploying the target cluster according to the second deployment information based on the deployment dependent resources required by the target cluster.
In an alternative embodiment, the resource area includes a load balancing node, and the deploying, according to the first deployment information, all available offline deployment-dependent resources in the resource area includes:
Analyzing the first deployment information to obtain load balancing deployment information;
based on the load balancing deployment information, configuring a load balancing node assembly, wherein the load balancing node assembly is used for supporting the operation of the load balancing nodes of the resource area;
configuring interaction paths of load balancing nodes of the resource areas aiming at a plurality of sub-resource areas;
according to the first deployment information, deploying offline deployment dependent resources in the plurality of sub-resource areas, wherein the offline deployment dependent resources comprise at least one of the following: software source, mirror source, cluster domain name, and time synchronization source.
In an alternative embodiment, the sub-resource area includes a software source area, and the deploying the software source area according to the first deployment information includes:
analyzing the first deployment information to obtain software source deployment information;
based on the software source deployment information, configuring an operating system path of the software source, wherein the software source is a binary package, and the format of the software source is an available format corresponding to the operating system;
and decompressing the software source according to the operating system path.
In an alternative embodiment, the sub-resource area includes a mirror source area, and the deploying the mirror source area according to the first deployment information includes:
analyzing the first deployment information to obtain mirror source deployment information;
deploying a master image source based on the image source deployment information, wherein the master image source comprises images required by cluster deployment;
and synchronously deploying the standby mirror image sources based on the main mirror image sources.
In an alternative embodiment, the sub-resource area includes a domain name resolution area and a time synchronization source area, and the deploying the domain name resolution area according to the first deployment information includes:
resolving the first deployment information to obtain domain name resolution deployment information;
generating a cluster domain name based on the domain name resolution deployment information, wherein the cluster domain name is used for identifying different clusters;
according to the first deployment information, deploying the time synchronization source region includes:
analyzing the first deployment information to acquire time synchronization source deployment information;
and generating the time synchronization source based on the time synchronization source deployment information, wherein the time synchronization source is used for providing time synchronization services of the clusters.
In an optional embodiment, after the target cluster is deployed according to the second deployment information, the method further includes:
detecting a deployment result of a target component, wherein the target component is each sub-resource region in the resource region and each component in all clusters;
when the deployment result of the target component is deployment failure, displaying deployment failure information on the cluster deployment interface, wherein the deployment failure information comprises at least one of the following components: target component information and error deployment information input by a user;
responding to the updated deployment information input by a user, and rolling back the target component;
and redeploying the target component based on the updated deployment information.
A second aspect of the present embodiment provides a cluster deployment apparatus, including:
the first deployment information acquisition module is used for acquiring first deployment information, wherein the first deployment information is command line information aiming at resource area deployment and input by a user at a cluster deployment interface;
the resource deployment module is used for deploying all available offline deployment dependent resources in the resource area according to the first deployment information;
the second deployment information acquisition module is used for acquiring second deployment information, deployment dependent resources required by the target cluster are acquired from the resource area according to the second deployment information, and the second deployment information is command line information for cluster deployment, which is input by a user at the cluster deployment interface;
And the cluster deployment module is used for deploying the target cluster according to the second deployment information based on the deployment dependent resources required by the target cluster.
In an alternative embodiment, the resource deployment module includes:
the first information analysis sub-module is used for analyzing the first deployment information and acquiring load balancing deployment information;
the node assembly configuration submodule is used for configuring a load balancing node assembly based on the load balancing deployment information, and the load balancing node assembly is used for supporting the operation of the load balancing nodes of the resource area;
an interaction path establishing sub-module, configured to configure interaction paths of load balancing nodes of the resource area for a plurality of sub-resource areas;
a sub-resource deployment sub-module, configured to deploy, according to the first deployment information, offline deployment dependent resources in the multiple sub-resource areas, where the offline deployment dependent resources include at least one of the following: software source, mirror source, cluster domain name, and time synchronization source.
In an alternative embodiment, the sub-resource deployment sub-module includes:
the second information analysis subunit is used for analyzing the first deployment information and acquiring software source deployment information;
A software source configuration subunit, configured to configure an operating system path of the software source based on the software source deployment information, where the software source is a binary package, and a format of the software source is an available format corresponding to the operating system;
and the software source decompression subunit is used for decompressing the software source according to the operating system path.
In an alternative embodiment, the sub-resource deployment sub-module includes:
the third information analysis subunit is used for analyzing the first deployment information and acquiring mirror source deployment information;
the main image source deployment subunit is used for deploying a main image source based on the image source deployment information, wherein the main image source comprises images required by cluster deployment;
and the multiple image source deployment subunit is used for synchronously deploying the standby image sources based on the main image source.
In an alternative embodiment, the sub-resource deployment sub-module includes:
a fourth information analysis subunit, configured to analyze the first deployment information to obtain domain name analysis deployment information;
the domain name generation subunit is used for generating cluster domain names based on the domain name resolution deployment information, wherein the cluster domain names are used for identifying different clusters;
In an alternative embodiment, the sub-resource deployment sub-module further includes:
a fifth information analysis subunit, configured to analyze the first deployment information and obtain time synchronization source deployment information;
and the time synchronization subunit is used for generating the time synchronization source based on the time synchronization source deployment information, and the time synchronization source is used for providing time synchronization service of the cluster.
In an alternative embodiment, the apparatus further comprises:
the detection module is used for detecting the deployment result of a target component, wherein the target component is each sub-resource region in the resource region and each component in all clusters;
the failure information display module is used for displaying deployment failure information on the cluster deployment interface when the deployment result of the target component is deployment failure, wherein the deployment failure information comprises at least one of the following items: target component information and error deployment information input by a user;
the rollback module is used for responding to the updated deployment information input by the user and rollback the target component;
and the redeployment module is used for redeploying the target component based on the updated deployment information.
A third aspect of the embodiments of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory, where the processor executes the computer program to implement the steps in a cluster deployment method according to any one of the first aspect.
A fourth aspect of the embodiments of the present application provides a computer-readable storage medium having stored thereon a computer program/instruction which, when executed by a processor, implements the steps of a cluster deployment method according to any of the first aspects.
A fifth aspect of the embodiments of the present application provides a computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of a cluster deployment method according to any of the first aspects.
The beneficial effects are that:
the embodiment of the application provides cluster deployment, which comprises the following steps: acquiring first deployment information, wherein the first deployment information is command line information aiming at resource area deployment and input by a user at a cluster deployment interface; according to the first deployment information, deploying all available offline deployment dependent resources in the resource area; acquiring second deployment information, namely acquiring deployment dependent resources required by a target cluster from the resource area according to the second deployment information, wherein the second deployment information is command line information which is input by a user at a cluster deployment interface and aims at cluster deployment; and deploying the target cluster according to the second deployment information based on the deployment dependent resources required by the target cluster. According to the embodiment of the application, the offline resources of the acquired resource areas are called through the command line information input by the user, so that dependence on the online resources in the cluster deployment process is eliminated; meanwhile, the detail of cluster deployment is shielded, a user can realize cluster deployment only by filling command line information in a cluster deployment interface, and the learning cost of the user for cluster deployment is reduced, so that the deployment of an available Kubernetes cluster is completed rapidly and efficiently.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments of the present application will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a cluster deployment method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a cluster deployment according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a resource region deployment procedure according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a load balancing node deployment according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a software source deployment according to an embodiment of the present application;
FIG. 6 is a schematic diagram of a mirror source deployment according to an embodiment of the present application;
FIG. 7 is a schematic diagram of a cluster deployment device according to an embodiment of the present application;
fig. 8 is a schematic diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
In the related technology, on one hand, the configuration parameters of the Kubernete cluster are complex, and the cluster deployment failure is easy to be caused by parameter configuration errors in the deployment process; on the other hand, the user needs to deeply understand and pay attention to the deployment details in the deployment process, and the user has higher learning cost on the cluster deployment flow, so that the experience is poor in deployment.
In view of this, an embodiment of the present application proposes a cluster deployment method, and fig. 1 shows a flowchart of the cluster deployment method, as shown in fig. 1, including the following steps:
s101, acquiring first deployment information.
And acquiring first deployment information, wherein the first deployment information is command line information aiming at resource area deployment and input by a user on a cluster deployment interface.
S102, according to the first deployment information, deploying all available offline deployment dependent resources in the resource area.
S103, acquiring second deployment information, and acquiring deployment dependent resources required by the target cluster from the resource area according to the second deployment information.
Acquiring second deployment information, namely, deployment dependent resources required by a target cluster are acquired from the resource area according to the second deployment information, wherein the second deployment information is command line information which is input by a user at a cluster deployment interface and aims at cluster deployment.
S104, based on deployment dependent resources required by the target cluster, deploying the target cluster according to the second deployment information.
In this embodiment of the present application, the first deployment information is command line information for resource area deployment, which is input by a user in a cluster deployment interface, and the second deployment information is command line information for cluster deployment, which is input by the user in the cluster deployment interface. The cluster deployment interface is a front-end interface displayed in a command line tool by a user, and the command line tool is an operation program for the user to execute corresponding commands by inputting relevant command line characters. In the resource area deployment process, a resource area deployment template for inputting first deployment information is displayed on the cluster deployment interface, and a user fills necessary information (such as domain name, IP, password and the like) required by resource area deployment according to the resource area deployment template on the cluster deployment interface to generate first deployment information for indicating the resource area deployment process; in the cluster deployment process, a cluster deployment template for inputting second deployment information is displayed on the cluster deployment interface, and a user fills necessary information (such as information of IP, mirror image source, CRI when a container runs, and the like) required by cluster deployment according to the cluster deployment template in the cluster deployment interface to generate second deployment information for indicating the cluster deployment process.
In the embodiment of the application, the resource area is used for providing the needed deployment-dependent resources of all clusters participating in cluster deployment. Wherein the deployment-dependent resources include at least one of: software source, mirror source, cluster domain name, and time synchronization source. The resources in the resource area are stored in the resource area in advance through the offline installation package, so that the dependence on online resources of an external network is relieved. And distributing deployment-dependent resources required by each cluster to the corresponding cluster through the resource region deployment, and performing one-key deployment when the clusters are deployed.
In the embodiment of the application, the target cluster is deployed by only acquiring offline deployment dependent resources required by the target cluster from the deployed resource area, and the automatic one-key deployment is triggered based on the deployment dependent resources and the second deployment information, so that the attention of a user to deployment details is omitted, and the learning cost of the user to cluster deployment is reduced.
For better understanding of the solution of the embodiments of the present application, fig. 2 shows a cluster deployment schematic, as shown in fig. 2, and in conjunction with the content shown in fig. 2, a detailed description of a cluster deployment method provided by the embodiments of the present application is described below:
When step S101 is implemented, a user enters a cluster deployment interface of a command line tool, and command line information aiming at resource area deployment is input in a resource area deployment template displayed by the cluster deployment interface; and then, generating corresponding first deployment information according to command line information which is input by a user and aims at the deployment of the resource area, wherein the first deployment information is used for indicating the deployment of the resource area. It should be noted that, the specific command line tool may use an existing command line tool (such as a cce-install tool, etc.), and the command line tool may be specific to the actual situation, which is not limited herein.
Fig. 3 shows a schematic diagram of a resource area deployment flow, and as shown in fig. 3, when step S102 is implemented, the resource area is deployed according to the flow shown in fig. three. First, deploying load balancing nodes in the resource area, and fig. 4 shows a schematic diagram of deploying load balancing nodes. The load balancing nodes of the resource areas are used for interacting with the load balancing nodes in each cluster in the cluster deployment process, so that needed deployment dependent resources are provided for target components of each target cluster. Specifically, first, responding to first deployment information input by a user, analyzing the first deployment information, and acquiring load balancing deployment information for indicating a load balancing node deployment process; and then, determining a load balancing node of the resource area based on the virtual IP of the resource area, wherein the load balancing node at least comprises an initial load balancing node, in an optional implementation manner, the load balancing node also comprises one or more backup load balancing nodes which are the same as the initial load balancing node, and when the initial load node fails to work normally due to the fact that the backup load balancing node is arranged, resource interaction is realized between the resource area and the target cluster through the backup load node which is the same as the initial load node, so that the problem of interaction obstacle between the resource area and the target cluster when the initial load node fails to work normally is avoided.
After determining the load balancing node of the resource area, configuring a load balancing node component based on the load balancing deployment information, wherein the load balancing node component is used for supporting the operation of the load balancing node of the resource area, specifically, configuring switching mechanism software (keepalive) and a reverse proxy Web server (Nginx) based on the load balancing deployment information, wherein keepalive is used for detecting the state of the server, and Nginx is used as a node component of load balancing service, and can directly support program external service or proxy service external service.
Because the load balancing node of the resource area is used for interacting with the load balancing node in each cluster in the cluster deployment process, so as to provide the required deployment dependent resources for the target component of each target cluster, after completing the configuration of the load balancing node component, the interaction path of the load balancing node of the resource area aiming at a plurality of sub-resource areas needs to be configured, specifically, the resource area comprises a plurality of sub-resource areas, and the sub-resource areas comprise at least one of the following: a software source region, a mirror source region, a domain name resolution region and a time synchronization source region.
In an optional implementation manner, the interaction path of the load balancing node of the resource area for a plurality of sub-resource areas is configured, which specifically includes: according to the first deployment information, configuring a software source route to realize configuration of an interaction path of a load balancing node of the resource area for the software source area; according to the first deployment information, configuring a mirror image source route, and realizing configuration of an interaction path of a load balancing node of the resource area aiming at the mirror image source area; and configuring a domain name resolution route according to the first deployment information, and realizing the configuration of the interaction path of the load balancing node of the resource area for the domain name resolution area. And realizing the resource transmission of deployment dependent resources of each sub-resource region and the target cluster through the interaction path of the load balancing node of the resource region and each sub-resource region and the interaction of the load balancing node of the resource region and the load balancing node of the target cluster.
After establishing the interaction path of the load balancing node of the resource area for a plurality of sub-resource areas, completing the deployment of the load balancing node of the resource area, and then deploying offline deployment dependent resources in the plurality of sub-resource areas according to the first deployment information, wherein the offline deployment dependent resources comprise at least one of the following: software source, mirror source, cluster domain name, and time synchronization source.
In an alternative embodiment, the sub-resource area includes a software source area, where the software source area is used to provide a software source required for the deployment of the target cluster, and illustratively, the software source area is YUM (YellowdogUpdater Modified, front-end package manager), where the foregoing example is merely an alternative case given for better understanding of the solution proposed in the present application by those skilled in the art, and the manager of a specific software source area may be determined according to the actual situation, and this application is not limited thereto.
FIG. 5 shows a schematic view of a software source deployment, as shown in FIG. 5, according to the following steps: and acquiring an offline installation package of a software source of the resource area, wherein the software source is a binary offline installation package. Then acquiring an installation path of an offline installation package of the software source, specifically, analyzing the first deployment information to acquire deployment information of the software source; configuring an operating system path of the software source based on the software source deployment information; and finally, decompressing the software source according to the path of the operating system to realize the deployment of the software source region.
Because the operating systems used by each cluster may be different in the cluster deployment process, the offline installation package of the software source can not be used in the cluster deployment process of the target cluster due to the problem of incompatibility of the systems, and the success rate of cluster deployment is affected. Therefore, in the embodiment of the present application, the format of the software source is an available format corresponding to the operating system, taking the software source deployment flow shown in fig. 5 as an example, the offline installation package of the software source provides software sources with corresponding formats for a CenOS (CommunityEnterprise Operating System ) system, a red flag operating system and a CtyunOS system, where it is noted that the operating system corresponding to the software source is not limited to the above-mentioned operating system, and the specific format of the software source is determined according to the available format of the operating system. The format of the software source provided by the resource area corresponds to the available format of the operating system of each cluster, so that when a plurality of clusters exist with multiple operating systems, different operating systems can be compatible, and the success rate and efficiency of cluster deployment are improved.
In addition, the software source is an offline installation package which is arranged in the resource area in advance, and in the cluster deployment process, the software source required by the target cluster is not required to be acquired online through network connection, so that the dependence of the cluster deployment on the external network environment can be relieved, and the binary package of the software source can be acquired under the condition of limited network environment.
In an alternative embodiment, the sub-resource area includes a mirror source area, where the mirror source area is used to provide a required mirror for deployment of the target cluster, and illustratively, the mirror source area is a Harbor mirror warehouse, where the foregoing example is merely an alternative case given for better understanding of the solution proposed in the present application by those skilled in the art, and the specific mirror source area may be determined according to the actual situation, and this application is not limited thereto.
FIG. 6 shows a schematic view of the deployment of the mirror source, as shown in FIG. 6, according to the following steps: analyzing the first deployment information to obtain mirror source deployment information; and deploying a master image source based on the image source deployment information, wherein the master image source comprises images required by cluster deployment. Specifically, firstly, acquiring an offline installation package of a mirror image source of a resource area, and installing the mirror image source; then pushing the mirror image required by the cluster deployment; and finally, configuring an LDAP (LightweightDirectory Access Protocol ) account service to complete the configuration of the master image source. After the configuration of the master image source is completed, synchronously deploying the standby image source based on the master image source, specifically, firstly acquiring an offline installation package of the image source of the resource area, and installing the image source; and then configuring LDAP account service to complete the configuration of the backup image source.
In an alternative embodiment, the sub-resource region includes a domain name resolution region for providing domain name services for the clusters to identify the different clusters. Illustratively, the domain name resolution area is DNS (DomainName System ), and it should be noted that the foregoing examples are merely an optional case given to those skilled in the art to better understand the solution proposed in the present application, and the specific domain name resolution area may be determined according to the actual situation, which is not limited herein.
The deployment of the domain name resolution area is carried out according to the following steps: resolving the first deployment information to obtain domain name resolution deployment information; and generating cluster domain names based on the domain name resolution deployment information, wherein the cluster domain names are used for identifying different clusters. As shown in fig. 2, the resource area and the clusters are in one-to-many relationship, so in order to distinguish different clusters, different domain names need to be provided for different clusters, so as to prevent transmission errors when the deployment dependent resource of the resource area is transmitted to different clusters.
In an alternative embodiment, the sub-resource region further includes a time synchronization source region, and the event synchronization source region is configured to provide a time synchronization service for the cluster. Illustratively, the time synchronization source is NTP (NetworkTime Protocol ), and it should be noted that the foregoing examples are merely an optional case given to those skilled in the art to better understand the solution proposed in the present application, and the specific time synchronization source may be determined according to the actual situation, which is not limited herein.
The deployment of the time synchronization source region is carried out according to the following steps: analyzing the first deployment information to acquire time synchronization source deployment information; and determining a time synchronization source based on the time synchronization source deployment information, wherein the time synchronization source is used for providing time synchronization service of the cluster.
The deployment of a plurality of different sub-resource areas in the resource area is completed, and the deployed resource area can transmit deployment dependent resources in each sub-resource to the target cluster through a load balancing node of the resource area. It should be noted that, the deployment of the different sub-resource areas is not limited in sequence, for example, the deployment may be performed according to the sequence of the software source area, the mirror source area, the domain name resolution area and the time synchronization source area, or may be performed according to other sequences, where the deployment sequence of the different sub-resource areas may be set according to the actual situation, which is not limited in this application.
When step S103 is implemented, a user enters a cluster deployment interface of a command line tool, and command line information aiming at cluster deployment is input in a cluster deployment template displayed on the cluster deployment interface; and then, generating corresponding second deployment information according to command line information which is input by a user and aims at cluster deployment, wherein the second deployment information is used for indicating the deployment of the cluster. It should be noted that, the specific command line tool may use an existing command line tool (such as a cce-install tool, etc.), and the command line tool may be specific to the actual situation, which is not limited herein.
When step S104 is specifically implemented, the load balancing nodes of the target cluster are deployed first, and the deployment process of the load balancing nodes of the target cluster is similar to that of the load balancing nodes of the resource area, and details of the deployment process can be found in the content of step S102, and the embodiments of the present application will not be repeated here. Wherein the components of the target cluster comprise an ETCD, a cluster control Node (Master) and a working Node (Node), and particularly the ETCD is a distributed and reliable key-value storage system which is used for storing key data in the distributed system; a cluster control node (Master) is responsible for the management and control of the whole target cluster; the working nodes (nodes) are working nodes in the target cluster, typically a virtual machine or a physical machine, and each working Node is managed by a cluster control Node. And configuring the interaction path of the components of the target cluster in the deployment process of the load balancing node of the target cluster.
After the load balancing nodes of the target cluster are deployed, sequentially deploying the components in the Kubernetes cluster; then, through the interaction path between the load balancing node of the target cluster and the load balancing node of the resource area, the deployment dependent resource required by each component in the target cluster is obtained from the resource area; and finally, deploying the target cluster according to the second deployment information based on the deployment dependent resources required by the target cluster. The resources required by the whole cluster deployment are offline resources acquired from a deployed resource area, the cluster deployment process does not need users to participate in target cluster deployment details, and the target cluster deployment is automatically completed through the second deployment information and the deployment dependent resources required by the target cluster. Therefore, for the user, the detailed flow of cluster deployment is shielded, the cluster deployment can be completed only by inputting the required deployment information in the template at the cluster deployment interface, the learning cost of the user for the cluster deployment is reduced, and the deployment experience of the user is improved.
In an alternative embodiment, after completing the deployment of the target cluster, it is necessary to detect whether there is an error in the deployment of the resource area and the cluster deployment process, and timely report the error to ensure the success rate and efficiency of the cluster deployment. Therefore, after the target cluster is deployed according to the second deployment information, a deployment result of a target component is detected, wherein the target component is each sub-resource area in the resource area and each component in all clusters, and specifically, the sub-resource area of the resource area is at least one of the following: a software source region, a mirror image source region, a domain name resolution region and a time synchronization source region; the components of the target cluster deployment are at least one of the following: ETCD, cluster control Node (Master), and working Node (Node).
And when the deployment result of the target component is that the deployment is successful, displaying deployment success information on the cluster deployment interface, ending the cluster deployment, triggering a cluster automatic test function, and ensuring that the basic functions of the clusters are available.
When the deployment result of the target component is deployment failure, deployment failure information is required to be displayed for a user, and the deployment failure information is used for the user to timely debug and update information and to carry out cluster deployment again. Specifically, when the deployment result of the target component is deployment failure, displaying deployment failure information on the cluster deployment interface, wherein the deployment failure information comprises at least one of the following items: target component information and user-entered incorrect deployment information. The target component information is used for displaying deployment process information of the target component in the cluster deployment process which fails at this time, and the error deployment information is the deployment information with errors in the first deployment information and/or the second deployment information input by the user, and is used for the user to timely determine and update the problems in the first deployment information and/or the second deployment information. Then, responding to the updated deployment information input by a user, rolling back the target component, and restoring the state of the target component until the deployment; and then, redeploying the target component based on the updated deployment information.
The embodiment of the application provides a cluster deployment method, which comprises the following steps: acquiring first deployment information, wherein the first deployment information is command line information aiming at resource area deployment and input by a user at a cluster deployment interface; according to the first deployment information, deploying all available offline deployment dependent resources in the resource area; acquiring second deployment information, namely acquiring deployment dependent resources required by a target cluster from the resource area according to the second deployment information, wherein the second deployment information is command line information which is input by a user at a cluster deployment interface and aims at cluster deployment; and deploying the target cluster according to the second deployment information based on the deployment dependent resources required by the target cluster. According to the embodiment of the application, the offline resources of the acquired resource areas are called through the command line information input by the user, so that dependence on the online resources in the cluster deployment process is eliminated; meanwhile, the detail of cluster deployment is shielded, a user can realize cluster deployment only by filling command line information in a cluster deployment interface, and the learning cost of the user for cluster deployment is reduced, so that the deployment of an available Kubernetes cluster is completed rapidly and efficiently.
Based on the same inventive concept, an embodiment of the present application discloses a cluster deployment device, and fig. 7 shows a schematic diagram of the cluster deployment device, as shown in fig. 7, including:
the first deployment information acquisition module is used for acquiring first deployment information, wherein the first deployment information is command line information aiming at resource area deployment and input by a user at a cluster deployment interface;
the resource deployment module is used for deploying all available offline deployment dependent resources in the resource area according to the first deployment information;
the second deployment information acquisition module is used for acquiring second deployment information, deployment dependent resources required by the target cluster are acquired from the resource area according to the second deployment information, and the second deployment information is command line information for cluster deployment, which is input by a user at the cluster deployment interface;
and the cluster deployment module is used for deploying the target cluster according to the second deployment information based on the deployment dependent resources required by the target cluster.
In an alternative embodiment, the resource deployment module includes:
the first information analysis sub-module is used for analyzing the first deployment information and acquiring load balancing deployment information;
The node assembly configuration submodule is used for configuring a load balancing node assembly based on the load balancing deployment information, and the load balancing node assembly is used for supporting the operation of the load balancing nodes of the resource area;
an interaction path establishing sub-module, configured to configure interaction paths of load balancing nodes of the resource area for a plurality of sub-resource areas;
a sub-resource deployment sub-module, configured to deploy, according to the first deployment information, offline deployment dependent resources in the multiple sub-resource areas, where the offline deployment dependent resources include at least one of the following: software source, mirror source, cluster domain name, and time synchronization source.
In an alternative embodiment, the sub-resource deployment sub-module includes:
the second information analysis subunit is used for analyzing the first deployment information and acquiring software source deployment information;
a software source configuration subunit, configured to configure an operating system path of the software source based on the software source deployment information, where the software source is a binary package, and a format of the software source is an available format corresponding to the operating system;
and the software source decompression subunit is used for decompressing the software source according to the operating system path.
In an alternative embodiment, the sub-resource deployment sub-module includes:
the third information analysis subunit is used for analyzing the first deployment information and acquiring mirror source deployment information;
the main image source deployment subunit is used for deploying a main image source based on the image source deployment information, wherein the main image source comprises images required by cluster deployment;
and the multiple image source deployment subunit is used for synchronously deploying the standby image sources based on the main image source.
In an alternative embodiment, the sub-resource deployment sub-module includes:
a fourth information analysis subunit, configured to analyze the first deployment information to obtain domain name analysis deployment information;
the domain name generation subunit is used for generating cluster domain names based on the domain name resolution deployment information, wherein the cluster domain names are used for identifying different clusters;
in an alternative embodiment, the sub-resource deployment sub-module further includes:
a fifth information analysis subunit, configured to analyze the first deployment information and obtain time synchronization source deployment information;
and the time synchronization subunit is used for generating the time synchronization source based on the time synchronization source deployment information, and the time synchronization source is used for providing time synchronization service of the cluster.
In an alternative embodiment, the apparatus further comprises:
the detection module is used for detecting the deployment result of a target component, wherein the target component is each sub-resource region in the resource region and each component in all clusters;
the failure information display module is used for displaying deployment failure information on the cluster deployment interface when the deployment result of the target component is deployment failure, wherein the deployment failure information comprises at least one of the following items: target component information and error deployment information input by a user;
the rollback module is used for responding to the updated deployment information input by the user and rollback the target component;
and the redeployment module is used for redeploying the target component based on the updated deployment information.
Based on the same inventive concept, an embodiment of the present application discloses an electronic device, fig. 8 shows a schematic diagram of the electronic device disclosed in the embodiment of the present application, and as shown in fig. 8, the electronic device 100 includes: the system comprises a memory 110 and a processor 120, wherein the memory 110 and the processor 120 are in communication connection through a bus, and a computer program is stored in the memory 110 and can be run on the processor 120 to realize the steps in the cluster deployment method disclosed by the embodiment of the application.
Based on the same inventive concept, the embodiments of the present application disclose a computer readable storage medium having stored thereon a computer program/instructions which, when executed by a processor, implement the steps in the cluster deployment method disclosed in the embodiments of the present application.
Based on the same inventive concept, the present application also provides a computer program product comprising a computer program/instruction which, when executed by a processor, implements the steps in the cluster deployment method disclosed in the embodiments of the present application.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus, electronic devices, and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The above description of the cluster deployment method, apparatus, device, medium and product provided by the present invention applies specific examples to illustrate the principles and embodiments of the present invention, and the above examples are only used to help understand the method and core ideas of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (14)
1. A cluster deployment method, comprising:
acquiring first deployment information, wherein the first deployment information is command line information aiming at resource area deployment and input by a user at a cluster deployment interface;
according to the first deployment information, deploying all available offline deployment dependent resources in the resource area;
acquiring second deployment information, namely acquiring deployment dependent resources required by a target cluster from the resource area according to the second deployment information, wherein the second deployment information is command line information which is input by a user at a cluster deployment interface and aims at cluster deployment;
and deploying the target cluster according to the second deployment information based on the deployment dependent resources required by the target cluster.
2. The cluster deployment method of claim 1, wherein the resource region includes a load balancing node, and deploying all available offline deployment-dependent resources in the resource region according to the first deployment information includes:
analyzing the first deployment information to obtain load balancing deployment information;
based on the load balancing deployment information, configuring a load balancing node assembly, wherein the load balancing node assembly is used for supporting the operation of the load balancing nodes of the resource area;
Configuring interaction paths of load balancing nodes of the resource areas aiming at a plurality of sub-resource areas;
according to the first deployment information, deploying offline deployment dependent resources in the plurality of sub-resource areas, wherein the offline deployment dependent resources comprise at least one of the following: software source, mirror source, cluster domain name, and time synchronization source.
3. The cluster deployment method according to claim 2, wherein the sub-resource area includes a software source area, and deploying the software source area according to the first deployment information includes:
analyzing the first deployment information to obtain software source deployment information;
based on the software source deployment information, configuring an operating system path of the software source, wherein the software source is a binary package, and the format of the software source is an available format corresponding to the operating system;
and decompressing the software source according to the operating system path.
4. The cluster deployment method according to claim 2, wherein the sub-resource area includes a mirror source area, and the deploying the mirror source area according to the first deployment information includes:
analyzing the first deployment information to obtain mirror source deployment information;
Deploying a master image source based on the image source deployment information, wherein the master image source comprises images required by cluster deployment;
and synchronously deploying the standby mirror image sources based on the main mirror image sources.
5. The cluster deployment method according to claim 2, wherein the sub-resource region includes a domain name resolution region and a time synchronization source region, and the deploying the domain name resolution region according to the first deployment information includes:
resolving the first deployment information to obtain domain name resolution deployment information;
generating a cluster domain name based on the domain name resolution deployment information, wherein the cluster domain name is used for identifying different clusters;
according to the first deployment information, deploying the time synchronization source region includes:
analyzing the first deployment information to acquire time synchronization source deployment information;
and generating the time synchronization source based on the time synchronization source deployment information, wherein the time synchronization source is used for providing time synchronization services of the clusters.
6. The cluster deployment method according to any one of claims 1-5, wherein after deploying the target cluster according to the second deployment information, the method further comprises:
Detecting a deployment result of a target component, wherein the target component is each sub-resource region in the resource region and each component in all clusters;
when the deployment result of the target component is deployment failure, displaying deployment failure information on the cluster deployment interface, wherein the deployment failure information comprises at least one of the following components: target component information and error deployment information input by a user;
responding to the updated deployment information input by a user, and rolling back the target component;
and redeploying the target component based on the updated deployment information.
7. A cluster deployment apparatus, comprising:
the first deployment information acquisition module is used for acquiring first deployment information, wherein the first deployment information is command line information aiming at resource area deployment and input by a user at a cluster deployment interface;
the resource deployment module is used for deploying all available offline deployment dependent resources in the resource area according to the first deployment information;
the second deployment information acquisition module is used for acquiring second deployment information, deployment dependent resources required by the target cluster are acquired from the resource area according to the second deployment information, and the second deployment information is command line information for cluster deployment, which is input by a user at the cluster deployment interface;
And the cluster deployment module is used for deploying the target cluster according to the second deployment information based on the deployment dependent resources required by the target cluster.
8. The cluster deployment apparatus of claim 7, wherein the resource deployment module comprises:
the first information analysis sub-module is used for analyzing the first deployment information and acquiring load balancing deployment information;
the node assembly configuration submodule is used for configuring a load balancing node assembly based on the load balancing deployment information, and the load balancing node assembly is used for supporting the operation of the load balancing nodes of the resource area;
an interaction path establishing sub-module, configured to configure interaction paths of load balancing nodes of the resource area for a plurality of sub-resource areas;
a sub-resource deployment sub-module, configured to deploy, according to the first deployment information, offline deployment dependent resources in the multiple sub-resource areas, where the offline deployment dependent resources include at least one of the following: software source, mirror source, cluster domain name, and time synchronization source.
9. The cluster deployment apparatus of claim 8, wherein the sub-resource deployment sub-module comprises:
The second information analysis subunit is used for analyzing the first deployment information and acquiring software source deployment information;
a software source configuration subunit, configured to configure an operating system path of the software source based on the software source deployment information, where the software source is a binary package, and a format of the software source is an available format corresponding to the operating system;
and the software source decompression subunit is used for decompressing the software source according to the operating system path.
10. The cluster deployment apparatus of claim 8, wherein the sub-resource deployment sub-module comprises:
the third information analysis subunit is used for analyzing the first deployment information and acquiring mirror source deployment information;
the main image source deployment subunit is used for deploying a main image source based on the image source deployment information, wherein the main image source comprises images required by cluster deployment;
and the standby image source deployment subunit is used for synchronously deploying the standby image sources based on the main image source.
11. The cluster deployment apparatus of claim 8, wherein the sub-resource deployment sub-module comprises:
a fourth information analysis subunit, configured to analyze the first deployment information to obtain domain name analysis deployment information;
The domain name generation subunit is used for generating cluster domain names based on the domain name resolution deployment information, wherein the cluster domain names are used for identifying different clusters;
the sub-resource deployment sub-module further comprises:
a fifth information analysis subunit, configured to analyze the first deployment information and obtain time synchronization source deployment information;
and the time synchronization subunit is used for generating the time synchronization source based on the time synchronization source deployment information, and the time synchronization source is used for providing time synchronization service of the cluster.
12. The cluster deployment device of any of claims 7-11, comprising:
the detection module is used for detecting the deployment result of a target component, wherein the target component is each sub-resource region in the resource region and each component in all clusters;
the failure information display module is used for displaying deployment failure information on the cluster deployment interface when the deployment result of the target component is deployment failure, wherein the deployment failure information comprises at least one of the following items: target component information and error deployment information input by a user;
the rollback module is used for responding to the updated deployment information input by the user and rollback the target component;
And the redeployment module is used for redeploying the target component based on the updated deployment information.
13. An electronic device comprising a memory, a processor and a computer program stored on the memory, the processor executing the computer program to perform the steps of a cluster deployment method according to any of claims 1-6.
14. A computer readable storage medium having stored thereon a computer program/instruction, which when executed by a processor, implements the steps of a cluster deployment method according to any of claims 1-6.
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| PCT/CN2023/140006 WO2024169385A1 (en) | 2023-02-16 | 2023-12-19 | Cluster deployment method and apparatus, and device, medium and product |
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