CN110166278A - Kubernetes cluster building method, apparatus, computer equipment and storage medium - Google Patents
Kubernetes cluster building method, apparatus, computer equipment and storage medium Download PDFInfo
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- H—ELECTRICITY
- 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
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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
- H04L67/2866—Architectures; Arrangements
- H04L67/30—Profiles
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45595—Network integration; Enabling network access in virtual machine instances
Abstract
The invention discloses in a kind of Kubernetes cluster building method, apparatus, computer equipment and storage medium, by obtaining cluster building request, obtain preset configuration template again, according to cluster building request in profile information configure configuration template, obtain configuration file；And then it is disposed according to the modularization that configuration file carries out Kubernetes cluster；Modularization verifying finally is carried out to Kubernetes cluster, if being verified, Kubernetes cluster building is completed.By cluster building request in profile information can be automatically performed the deployment of Kubernetes cluster, and pass through the verifying to modules to better assure that the smooth configuration of Kubernetes cluster.
Description
Technical field
The present invention relates to distributed structure/architecture field more particularly to a kind of Kubernetes cluster building method, apparatus, calculate
Machine equipment and storage medium.
Background technique
Traditional virtualization technology, as hypervisor virtualization technology performance and in terms of exist not
Foot, and container (container) technology improves money by being divided into the resource of single operating management in isolated group
Source utilization rate, is increasingly becoming research hot topic.Container can be regarded as a kind of sandbox, and one application of operation, different in each container
Container is mutually isolated, but can establish communication mechanism between containers.The container technique that Docker is provided allows at same, each
Container is an independent virtual environment or application.
Kubernetes be open source container programming facility, may be implemented by several container combinations at one service and
The dynamically functions such as host of distribution container operation, are provided a great convenience for user using container.It uses
Kubernetes, needs to build Kubernetes cluster, and Kubernetes cluster includes host node and from two class node of node.
But when building Kubernetes cluster, each step in build process needs user to carry out manual configuration, builds efficiency
It is low.
Summary of the invention
The embodiment of the present invention provides a kind of Kubernetes cluster building method, apparatus, computer equipment and storage medium,
To solve the problems, such as that Kubernetes cluster building efficiency is lower.
A kind of Kubernetes cluster building method, comprising:
Cluster building request is obtained, the cluster configuration request includes profile information；
Preset configuration template is obtained, the configuration template is configured according to the profile information, obtains configuration file；
The modularization deployment of Kubernetes cluster is carried out according to the configuration file；
Modularization verifying is carried out to the Kubernetes cluster, if being verified, the Kubernetes cluster is taken
Build completion.
A kind of Kubernetes cluster building device, comprising:
Cluster building request module, for obtaining cluster building request, the cluster configuration request includes configuration text
Part information；
Configuration file configuration module, for obtaining preset configuration template, according to profile information configuration
Configuration template obtains configuration file；
Modularization deployment module, the modularization for carrying out Kubernetes cluster according to the configuration file are disposed；
Modularization authentication module, for carrying out modularization verifying, if being verified, institute to the Kubernetes cluster
State the completion of Kubernetes cluster building.
A kind of computer equipment, including memory, processor and storage are in the memory and can be in the processing
The computer program run on device, the processor realize above-mentioned Kubernetes cluster building when executing the computer program
Method.
A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, the meter
Calculation machine program realizes above-mentioned Kubernetes cluster building method when being executed by processor.
In above-mentioned Kubernetes cluster building method, apparatus, computer equipment and storage medium, taken by obtaining cluster
Build request, then obtain preset configuration template, according to cluster building request in profile information configure configuration template, obtain
Configuration file；And then it is disposed according to the modularization that configuration file carries out Kubernetes cluster；Finally to Kubernetes cluster
Modularization verifying is carried out, if being verified, Kubernetes cluster building is completed.By cluster building request in configuration text
Part information can be automatically performed the deployment of Kubernetes cluster, and be better assured that by the verifying to modules
The smooth configuration of Kubernetes cluster.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is an application environment schematic diagram of Kubernetes cluster building method in one embodiment of the invention；
Fig. 2 is an exemplary diagram of Kubernetes cluster building method in one embodiment of the invention；
Fig. 3 is another exemplary diagram of Kubernetes cluster building method in one embodiment of the invention；
Fig. 4 is another exemplary diagram of Kubernetes cluster building method in one embodiment of the invention；
Fig. 5 is another exemplary diagram of Kubernetes cluster building method in one embodiment of the invention；
Fig. 6 is another exemplary diagram of Kubernetes cluster building method in one embodiment of the invention；
Fig. 7 is another exemplary diagram of Kubernetes cluster building method in one embodiment of the invention；
Fig. 8 is a functional block diagram of Kubernetes cluster building device in one embodiment of the invention；
Fig. 9 is another functional block diagram of Kubernetes cluster building device in one embodiment of the invention；
Figure 10 is a schematic diagram of computer equipment in one embodiment of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Kubernetes cluster building method provided in an embodiment of the present invention, can be applicable in the application environment such as Fig. 1,
In, client (computer equipment) is communicated by network with server.Client signalling of bouquet builds request and arrives server-side,
After server-side obtains cluster building request, preset configuration template is obtained, configuration template is configured according to profile information, is obtained
Configuration file；The modularization deployment of Kubernetes cluster is carried out further according to configuration file；Mould is carried out to Kubernetes cluster
Block chemical examination card, if being verified, Kubernetes cluster building is completed.Wherein, client (computer equipment) can with but not
It is limited to various personal computers, laptop, smart phone, tablet computer and portable wearable device.Server-side can be with
It is realized with the server cluster of the either multiple server compositions of independent server.
In one embodiment, it as shown in Fig. 2, providing a kind of Kubernetes cluster building method, applies in this way
It is illustrated, includes the following steps: for server-side in Fig. 1
S10: obtaining cluster building request, and cluster configuration request includes profile information.
Wherein, cluster building request is the trigger request for the progress Kubernetes cluster building initiated by client.It should
Cluster building request by client input instruction, upload configuration the file information or can pass through client displaying by user
Interface carries out the input of corresponding information to generate cluster building request.
Profile information may include configuration system, ETCD parameter, host node parameter and from node parameter etc..Wherein,
Configuration system can be windows or linux etc..ETCD parameter includes cluster name, node storage catalogue and nodename etc..
Host node parameter may include the property parameters of Kubernetes host node, such as installation version, Kubernetes host node
Address, the node identification (title) for running Kubernetes host node and area identification etc..May include from node parameter
Kubernetes is from the property parameters of node, such as installation version, Kubernetes are from address of node, operation Kubernetes
From the node identification (title) of node and area identification etc..
Specifically, the operation behavior for the client that client obtains is adopted if getting preset instruction or trigger action
Collect or obtain corresponding information, generates cluster building request.Illustratively, user can be uploaded by client comprising configuration
The file of the file information, the generation or pass through preset finger that the automatic trigger cluster building is requested after file uploads successfully
It enables or key triggers.Alternatively, client provides the visual edit interface comprising various configuration parameters, user can at this
The editor of configuration parameter is carried out depending on changing editing interface, the generation or logical that the automatic trigger cluster building is requested after editor completes
Preset instruction or key are crossed to trigger.
S20: obtaining preset configuration template, configures the configuration template according to profile information, obtains configuration file.
The content format of creation parameter can predefine, therefore can preset configuration according to the content format of creation parameter
Template, the title comprising the creation each content format of parameter in configuration template are corresponding with each title interior convenient for user's input
Hold, to improve the normalization of creation parameter input, reduces the possibility of creation parameter input error.By profile information
After being added to configuration template, configuration file is produced.
S30: it is disposed according to the modularization that configuration file carries out Kubernetes cluster.
After obtaining configuration file, modularization deployment is carried out to Kubernetes cluster.Specifically, according to configuration file
In relevant configured parameter realize the deployment to Kubernetes cluster, installation, host node installation including ETCD database,
From node installation and the deployment of system component etc..ETCD database is that the storage system of default is provided for Kubernetes cluster
System, for saving company-data, the main perdurable data for storing modules, such as information on services, Kubernetes cluster
Essential information, the scheduling result of scheduler module, service and cluster corresponding relationship etc. required for across cluster service discovery module.
Host node (master) is also known as control node, provides the control panel of cluster, and the control of entire Kubernetes cluster
Center.And it is responsible for support container operation from node, it is the host of container.The deployment of system component may include the portion registry
Administration, dns deployment and traefik deployment etc..
It is alternatively possible to which the modularization for calling Ansible tool to carry out Kubernetes cluster is disposed.Ansible tool
It is the automation O&M management tool realized based on Python, compared to other such as the work of server/customer end constitution
Tool, Ansible tool do not need disposing Client Agent on node wait dispose.
S40: modularization verifying is carried out to Kubernetes cluster, if being verified, Kubernetes cluster building is complete
At.
After modularization deployment is completed, modularization verifying is carried out to Kubernetes cluster, i.e. verifying Kubernetes
Modules are whether normal operation in cluster.Specifically, carrying out modularization verifying to Kubernetes cluster includes to ETCD number
According to the verifying in library, verifying to host node and to the verifying from node.Can by operating status to each clustered node or
The process operation conditions of person's urgency masses' key component realizes the verifying to modules.Such as: the kube- in host node
Apsserver, kube-controller-manager, kube-scheduler process, or from node Flanneld,
Kubelet, kube-proxy process.If the verifying of modules passes through, Kubernetes cluster building is completed.
In a specific embodiment, if the verifying of operational blocks which partition system does not pass through, prompt information is exported.Specifically, will
Prompt information is formed in the presence of abnormal module or specific component Name, and feeds back and arrives client.
Optionally, which is also sent in preset mobile terminal, to realize remote prompting.In this reality
It applies in mode, the identity information of user can be obtained when client signalling of bouquet builds request, which can pass through
Account verification, client identification or user generate in such a way that client directly inputs.Wherein, account verification be
Client or server-side preset an Account Logon link, and user inputs account information, server-side pair by client
The account information of user's input is verified, if being verified, the identity information of the user is obtained according to account information.Client
End identification is that different users is identified according to client, specifically can be by obtaining the identification code of different clients come real
It is existing.Client directly inputs, and to be user voluntarily input an information of mobile terminal by client, and server-side is according to the movement
End message sends corresponding prompt information.
In the present embodiment, it is requested by obtaining cluster building, then obtains preset configuration template, asked according to cluster building
Profile information in asking configures configuration template, obtains configuration file；And then Kubernetes collection is carried out according to configuration file
The modularization deployment of group；Modularization verifying, if being verified, Kubernetes cluster finally are carried out to Kubernetes cluster
Build completion.By cluster building request in profile information can be automatically performed the deployment of Kubernetes cluster, and
And the smooth configuration by better assuring that cluster to the verifying of modules.
In one embodiment, as shown in figure 3, being disposed according to the modularization that configuration file carries out Kubernetes cluster,
Include:
S31: corresponding script file is obtained from database according to configuration file；
S32: calling Ansible tool, is disposed according to the modularization that script file carries out Kubernetes cluster.
In this embodiment, it has been pre-configured with different script files, for the carry out module to Kubernetes cluster
Change deployment.Specifically, different script files is obtained according to parameter different in configuration file.Illustratively, in advance for not
Same installation system is configured with different script files.After obtaining script file, by calling Ansible tool, and root
The modularization deployment of Kubernetes cluster is carried out according to script file.Optionally, modularization deployment includes to the library ETCD, main section
Point, from the deployment of node and system component.
In the present embodiment, it by obtaining corresponding script file from database according to configuration file, and calls
Ansible tool is disposed according to the modularization that script file carries out Kubernetes cluster, improves Kubernetes cluster
The efficiency of modularization deployment.
In one embodiment, as shown in figure 4, carrying out modularization verifying to Kubernetes cluster, comprising:
S41: preset instruction is used, corresponding cluster Running Status Table is obtained.
Wherein, preset instruction can be inquiry instruction, for inquiring corresponding cluster Running Status Table.Cluster operation
State table can run plan etc. for cluster state table, cluster member table or cluster.It illustratively, can be by checking collection
Group's state table detects whether the library ETCD is in normal condition (healthy), or checks that cluster member table checks that the library ETCD is
It is no within cluster member table.Detect whether the associated process in host node is in operation by checking cluster operation plan
In state, such as kube-apsserver, kube-controller-manager and kube-scheduler process.By looking into
See cluster operation plan detect from the associated process of node it is whether in operating status in, such as Flanneld, kubelet
With kube-proxy process.
S42: information to be verified is obtained from cluster Running Status Table according to preset extracting rule.
Wherein, extracting rule is the extraction strategy being arranged according to different cluster Running Status Table and detection field, is led to
Information to be verified can be obtained from cluster Running Status Table to carry out to Kubernetes cluster by crossing the preset extracting rule
Modularization verifying.Optionally, information to be verified includes the library ETCD verification information, host node verification information and believes from node verification
Breath.It illustratively, then can be first from cluster state to detect whether the library ETCD is in normal condition by cluster state table
The title in the corresponding library ETCD is navigated in table, then obtain the ETCD library name position relevant character string (such as: set
The character string of fixed front and back predetermined quantity) it is used as information to be verified.To by cluster run plan come detect host node and from
Whether node is normal, then can be run by string matching or the matched mode of canonical from cluster and detect correspondence in plan
Process it is whether in operating status in, and will test result as information to be verified.It is possible to further by each detection
The testing result of process is as information to be verified.Information to be verified may include true and false.
S43: information to be verified and preset standard information are matched, and obtain modularization verifying knot according to matching result
Fruit.
After obtaining information to be verified, information to be verified and preset standard information are matched.Standard information is
Preset accurate information, for example, corresponding standard information is healthy for the information to be verified in the library ETCD.For
Host node and information to be verified from node, corresponding standard information are true.In this step, when all information to be verified
With standard information all successful match, then matching result is to be verified.Otherwise, matching result is that verifying does not pass through.Further,
The corresponding modularization verification result of the matching result being verified is to be verified.Verify the corresponding mould of unacceptable matching result
Block verification result is that verifying does not pass through.
In the present embodiment, by using preset instruction, corresponding cluster Running Status Table is obtained；Further according to preset
Extracting rule obtains information to be verified from the cluster Running Status Table, finally by information to be verified and preset standard information
It is matched, modularization verification result is obtained according to matching result.By extracting information to be verified from accordingly state table,
And it is matched with standard information, improves the accuracy and efficiency of modularization verifying.
In one embodiment, as shown in figure 5, before obtaining cluster building request, the Kubernetes cluster building
Method further include:
S11: get parms configuring request, obtains recommended configuration information based on parameter-configuring request.
Wherein, parameter-configuring request refers to the trigger request configured to the parameter in Kubernetes cluster.And it pushes away
Recommend the recommendation information that configuration information refers to the parameter configuration for the Kubernetes cluster building and provides.Server-side is being got
After parameter-configuring request, recommended configuration information is obtained according to the parameter-configuring request.Preferably, recommended configuration information can be with
To be according to the characteristics of parameter in the configuration file for having Kubernetes cluster be and the recommended configuration information that is formed, with convenient
User configures the parameter of Kubernetes cluster building, improves the allocative efficiency of parameter.Illustratively, will have
The higher parameter of number of repetition forms recommended configuration information in the configuration file of Kubernetes cluster.The number of repetition can root
It is set according to actual needs.Optionally, which can be according to the number of the configuration file of existing Kubernetes cluster
Amount is to be arranged, for example, 100%, the 90% of the quantity for the configuration file that the number of repetition is existing Kubernetes cluster is arranged
Or 85% etc..
S12: recommended configuration information is shown on visual configuration interface.
After getting recommended configuration information, by showing the recommended configuration information on visual configuration interface, use
Family can be configured the parameter of Kubernetes cluster based on the recommended configuration information shown on visual configuration interface
Or adjustment.Visual configuration interface is the interface that the parameter of the Kubernetes cluster is carried out to visualization display, and user can be with
The parameter of the Kubernetes cluster is configured and is adjusted by the visual configuration interface.
In a specific embodiment, show that recommended configuration information may include: can on visual configuration interface
Recommended configuration information is highlighted on configuration interface depending on changing.Specifically, highlighting can embody are as follows: by recommended configuration
Information is highlighted；Alternatively, the region of a concentration is shown on visual configuration interface by recommended configuration information configuration,
And prompting is identified or protruded to the region of the concentration.For example, the region to the concentration is identified using different colors
Or it is reminded etc. with text.
S13: target configuration information is obtained, target configuration information is matched with corresponding configuration parameter format.
Target configuration information refers to that user is based on recommended configuration information, is configured on visual configuration interface
The configuration information of Kubernetes cluster.On visual configuration interface, user is based on recommended configuration information to this
The parameter of Kubernetes cluster is configured, all parameters are formed after setting completed on visual configuration interface
Target configuration information.
Configuration parameter format refers to the corresponding format of each parameter in Kubernetes cluster.Target is being got with confidence
After breath, server-side can in target configuration information parameter and corresponding configuration parameter format match, to examine the ginseng
Whether several formats is wrong.Each parameter has its corresponding format in target configuration information, such as IP address is usual
Format is XXX.XXX.XXX.XXX.If user is when configuring IP address, in the corresponding parameter of IP address in target configuration information
There is Chinese character, then the format of this parameter is probably exactly mistake.In this step, by target configuration information with it is right
The configuration parameter format answered is matched, and the accuracy for improving parameter configuration is conducive to.It is to be appreciated that can be set target
Partial parameters in configuration information carry out parameter format matching or whole parameters in target configuration information are carried out parameter lattice
Formula matching, can specifically be configured according to actual needs.
S14: if target configuration information does not meet configuration parameter format, matched based on the target for not meeting configuration parameter format
Confidence breath generates prompt information.
Corresponding parameter in target configuration information is matched by configuration parameter format, if being deposited in target configuration information
In the parameter for not meeting configuration parameter format, then prompt information is generated based on the parameter for not meeting configuration parameter format, to use
Family modifies to the parameter in target configuration information based on the prompt information, to guarantee the accuracy of parameter configuration.
It is preferably based on the parameter generation prompt information for not meeting configuration parameter format, is specifically included: in visual configuration
In interface, the parameter for not meeting configuration parameter format is highlighted.It highlights and is specifically as follows: configuration will not met
The parameter of parameter format is shown with different colors；Alternatively, a concentrated area is arranged in visual configuration interface, to not meeting
The parameter of configuration parameter format carries out centralized displaying.It is to be appreciated that if there is highlighted side in step S12 and the step
Formula, then the highlighted concrete mode of the step and the concrete mode of step S12 are different.For example, being used in step S12
Different colors, which is shown, to be highlighted, and the step is highlighted by the way of highlighted.
S15: obtaining the target configuration information of update, until the target configuration information updated meets corresponding configuration parameter
Format, then the target configuration information based on update generates cluster building request.
If target configuration information does not meet configuration parameter format, terminal can generate corresponding prompt information, and user is seeing
After prompt information, need to be adjusted the parameter for not meeting configuration parameter format.User is not to meeting configuration parameter format
Parameter adjustment finish after, terminal obtain update target configuration information, by the target configuration information and configuration parameter of update
Format is matched.If successful match, i.e., all parameters all meet corresponding configuration parameter format, then based on the target of update
The target configuration file of configuration information generation Kubernetes cluster.Wherein, configuration file refers to based on a Kubernetes
The parameter of cluster is configured and the file that is formed, and target configuration file is the corresponding configuration file of Kubernetes cluster.
If in the configuration information updated at this time or there is the parameter for not meeting configuration parameter format, server-side can be directed to
The parameter that this part does not meet configuration parameter format regenerates corresponding prompt information, and then repeat acquisition update matches confidence
Breath, until parameter all in the target configuration information updated meets corresponding configuration parameter format, then based on the mesh of update
Mark the target configuration file that configuration information generates Kubernetes cluster.
In a specific embodiment, the target that the target configuration information based on update generates Kubernetes cluster is matched
Set file, further includes: the configure-ack that gets parms instruction, the target configuration information based on update generate Kubernetes cluster
Target configuration file.
It, can be at visual configuration interface after the target configuration information of update meets corresponding configuration parameter format
Upper correspondingly to be prompted, the format for the parameter of target configuration information for prompting user currently to update is errorless, then etc. to be obtained
Parameter configuration confirmation instruction.After getting parameter configuration confirmation instruction, the target configuration information based on update generates terminal
The target configuration file of Kubernetes cluster.Specifically, can by visual configuration interface be arranged a control, when
When user triggers the control, then parameter configuration confirmation instruction is issued.
In one embodiment, as shown in fig. 6, matching target configuration information with corresponding obtaining target configuration information
Before setting the step of parameter format is matched, the Kubernetes cluster building method further include:
S131: obtaining the configuration file of existing Kubernetes cluster, and each configuration file includes existing configuration parameter name
With existing configuration parameter value.
Wherein, have Kubernetes cluster and refer to the Kubernetes cluster for completing parameter configuration, one newly-built
For Kubernetes cluster after through parameter configuration, server-side can form the Kubernetes cluster based on corresponding parameter
Configuration file, formed configuration file after Kubernetes cluster be exactly an existing Kubernetes cluster.Optionally,
There is Kubernetes cluster to may also mean that the Kubernetes cluster for implementing to complete.In existing Kubernetes cluster, match
Setting file includes existing configuration parameter name and existing configuration parameter value.For example, existing configuration parameter name can be Kubernetes
Cluster name, Kubernetes cluster classification, IP address etc..And existing configuration parameter value is exactly that configuration parameter name is corresponding specific
Content.
S132: being converted to picture format for the existing configuration parameter value in existing Kubernetes cluster, and with corresponding
Existing configuration parameter name is labeled existing configuration parameter value, obtains training atlas.
Existing configuration parameter value in configuration file is converted into picture format, and right with corresponding existing configuration parameter name
Existing configuration parameter value is labeled.For example, the existing configuration parameter value 01,02,03,04 etc. in table 1 is converted to picture lattice
Formula, and (A, B, C etc.) is labeled with their corresponding existing configuration parameter names.Specifically, it can use
Range.CopyPicture and Clipboard.GetImage () turns the existing configuration parameter value in configuration file to realize
It is changed to picture format.By Range.CopyPicture by selected object (existing configuration parameter value) as picture reproduction to cutting
Pasting board recycles Clipboard.GetImage () function to obtain the picture on clipbook.In this way to matching
All existing configuration parameter values set in file are converted and are marked, and obtain training atlas.
Alternatively it is also possible to when configuration file formation in existing Kubernetes cluster, just protected with picture format
Deposit the existing configuration parameter value of the configuration file.
Table 1 has configuration file example table
S133: training atlas is trained using convolutional neural networks model, obtains configuration parameter format identification model.
Wherein, convolutional neural networks (Convolutional Neural Network, abbreviation CNN) model, before being one kind
Neural network is presented, its artificial neuron can respond the surrounding cells in a part of coverage area, be commonly applied to large-scale image
Processing.Convolutional neural networks generally include at least two nonlinear convolutional layers, at least two nonlinear pond layers and extremely
A few full articulamentum includes at least five hidden layers, additionally include input layer and output layer.It will training atlas input volume
The convolutional layer of product neural network, convolutional neural networks carries out convolutional calculation to training atlas, according to the filter of setting
(Filter) quantity obtains the characteristic pattern (Feature Map) of corresponding number.It is obtained by convolutional neural networks model training
Configuration parameter format identification model, can the format more precisely to target configuration information verify.
In one embodiment, target configuration information includes target configuration parameter name and target configuration parameter value；
In this embodiment, as shown in fig. 7, target configuration information is matched with corresponding configuration parameter format,
Specifically includes the following steps:
S134: being converted into picture format for each target configuration parameter value in target configuration information, and with corresponding mesh
Standard configuration is set parameter name and is labeled to target configuration parameter value, and identification atlas is obtained.
Each target configuration parameter value in target configuration information is converted into picture format, and with it is corresponding have match
It sets parameter name to be labeled existing configuration parameter value, obtains identification atlas.Specifically, it can use
Range.CopyPicture and Clipboard.GetImage () turns the existing configuration parameter value in configuration file to realize
It is changed to picture format.By Range.CopyPicture by selected object (target configuration parameter value) as picture reproduction to cutting
Pasting board recycles Clipboard.GetImage () function to obtain the picture on clipbook.
S135: identification atlas being input in configuration parameter format identification model and is identified, obtains each target configuration
The matching probability of corresponding existing configuration parameter name in parameter value and configuration parameter format identification model.
Identification atlas is input in configuration parameter format identification model and is identified, the configuration parameter format identification model
Each classification in each target configuration parameter value and configuration parameter format identification model that identify in atlas can be matched,
And export corresponding matching degree.Obtain in each target configuration parameter value and configuration parameter format identification model it is corresponding have match
The matching degree for setting parameter name, as matching probability.Wherein, in each target configuration parameter value and configuration parameter format identification model
The matching degree of corresponding existing configuration parameter name refers to: in target configuration parameter value and configuration parameter format identification model with it is corresponding
The identical existing configuration parameter name of target component name matching degree.Above-mentioned corresponding matching degree is got, is matched as the target
Set the matching probability of parameter value.
S136: if matching probability is less than probability threshold value, the target configuration parameter value in target configuration information, which is not met, matches
Set parameter format.
By way of presetting probability threshold value for each target configuration parameter value, to judge in target configuration information
Whether target configuration parameter value meets configuration parameter format.Specifically, if the matching probability of a target configuration parameter value be less than pair
The matching threshold answered, then the target configuration parameter value does not meet configuration parameter format.
In this embodiment, by trained configuration parameter format identification model to the lattice of target configuration parameter information
Formula is verified, and automatic output verification is as a result, it is possible to quickly and efficiently carry out the format check of configuration parameter.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
In one embodiment, a kind of Kubernetes cluster building device is provided, the Kubernetes cluster building device
It is corresponded with Kubernetes cluster building method in above-described embodiment.As shown in figure 8, the Kubernetes cluster building fills
It sets and is verified including cluster building request module 10, configuration file configuration module 20, modularization deployment module 30 and modularization
Module 40.Detailed description are as follows for each functional module:
Cluster building request module 10, for obtaining cluster building request, the cluster configuration request includes configuration
The file information；
Configuration file configuration module 20 configures institute according to the profile information for obtaining preset configuration template
Configuration template is stated, configuration file is obtained；
Modularization deployment module 30, the modularization for carrying out Kubernetes cluster according to the configuration file are disposed；
Modularization authentication module 40, for carrying out modularization verifying to the Kubernetes cluster, if being verified,
The Kubernetes cluster building is completed.
Preferably, modularization deployment module 30 includes script file acquiring unit and modularization deployment unit.
Script file acquiring unit, for obtaining corresponding script file from database according to configuration file；
Modularization deployment unit carries out the mould of Kubernetes cluster according to script file for calling Ansible tool
Blockization deployment.
Preferably, as shown in figure 9, modularization authentication module 40 includes cluster Running Status Table acquiring unit 41, to be verified
Information acquisition unit 42 and verification result acquiring unit 43.
Cluster Running Status Table acquiring unit 41 obtains corresponding cluster Running Status Table for using preset instruction；
Information acquisition unit 42 to be verified, for being obtained from the cluster Running Status Table according to preset extracting rule
Information to be verified；
Verification result acquiring unit 43, for the information to be verified and preset standard information to be matched, according to
Matching result obtains modularization verification result.
Preferably, which further includes that parameter-configuring request obtains module, recommended configuration letter
It ceases display module, format parameter matching module, prompt information generation module and cluster building and requests generation module.
Parameter-configuring request obtains module, for the configuring request that gets parms, is obtained based on parameter-configuring request and recommends to match
Confidence breath；
Recommended configuration information display module, for showing recommended configuration information on visual configuration interface；
Format parameter matching module, for obtaining target configuration information, by target configuration information and corresponding configuration parameter
Format is matched；
Prompt information generation module is not met for when target configuration information does not meet configuration parameter format, being then based on
The target configuration information of configuration parameter format generates prompt information；
Cluster building requests generation module, for obtaining the target configuration information updated, until the target updated matches confidence
Breath meets corresponding configuration parameter format, then the target configuration information based on update generates cluster building request.
Preferably, which further includes that configuration file obtains module, training atlas obtains mould
Block and training atlas training module.
Configuration file obtains module, for obtaining the configuration file of existing Kubernetes cluster, each configuration file packet
Include existing configuration parameter name and existing configuration parameter value；
Training atlas obtains module, for the existing configuration parameter value in existing Kubernetes cluster to be converted to picture
Format, and existing configuration parameter value is labeled with corresponding existing configuration parameter name, obtain training atlas；
Training atlas training module obtains configuration for being trained using convolutional neural networks model to training atlas
Parameter format identification model.
Preferably, target configuration information includes target configuration parameter name and target configuration parameter value.Format parameter matching
Module further includes identification atlas acquiring unit, matching probability acquiring unit and matching unit.
Atlas acquiring unit is identified, for each target configuration parameter value in target configuration information to be converted into picture lattice
Formula, and target configuration parameter value is labeled with corresponding target configuration parameter name, obtain identification atlas；
Matching probability acquiring unit identifies for that will identify that atlas is input in configuration parameter format identification model,
Obtain the matching probability of corresponding existing configuration parameter name in each target configuration parameter value and configuration parameter format identification model；
Matching unit, if being less than probability threshold value for matching probability, the target configuration parameter value in target configuration information
Configuration parameter format is not met.
Specific restriction about Kubernetes cluster building device may refer to above for Kubernetes cluster
The restriction of building method, details are not described herein.Modules in above-mentioned Kubernetes cluster building device can whole or portion
Divide and is realized by software, hardware and combinations thereof.Above-mentioned each module can be embedded in the form of hardware or independently of computer equipment
In processor in, can also be stored in a software form in the memory in computer equipment, in order to processor calling hold
The corresponding operation of the above modules of row.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 10.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is used for the data used using Kubernetes cluster building method in above-described embodiment.The calculating
The network interface of machine equipment is used to communicate with external terminal by network connection.When the computer program is executed by processor with
Realize a kind of Kubernetes cluster building method.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor perform the steps of when executing computer program
Cluster building request is obtained, the cluster configuration request includes profile information；
Preset configuration template is obtained, the configuration template is configured according to the profile information, obtains configuration file；
The modularization deployment of Kubernetes cluster is carried out according to the configuration file；
Modularization verifying is carried out to the Kubernetes cluster, if being verified, the Kubernetes cluster is taken
Build completion.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
Cluster building request is obtained, the cluster configuration request includes profile information；
Preset configuration template is obtained, the configuration template is configured according to the profile information, obtains configuration file；
The modularization deployment of Kubernetes cluster is carried out according to the configuration file；
Modularization verifying is carried out to the Kubernetes cluster, if being verified, the Kubernetes cluster is taken
Build completion.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of Kubernetes cluster building method characterized by comprising
Cluster building request is obtained, the cluster configuration request includes profile information；
Preset configuration template is obtained, the configuration template is configured according to the profile information, obtains configuration file；
The modularization deployment of Kubernetes cluster is carried out according to the configuration file；
Modularization verifying is carried out to the Kubernetes cluster, if being verified, the Kubernetes cluster building is complete
At.
2. Kubernetes cluster building method as described in claim 1, which is characterized in that described according to the configuration file
Carry out the modularization deployment of Kubernetes cluster, comprising:
Corresponding script file is obtained from database according to the configuration file；
Ansible tool is called, is disposed according to the modularization that the script file carries out the Kubernetes cluster.
3. Kubernetes cluster building method as described in claim 1, which is characterized in that described to the Kubernetes
Cluster carries out modularization verifying, comprising:
Using preset instruction, corresponding cluster Running Status Table is obtained；
Information to be verified is obtained from the cluster Running Status Table according to preset extracting rule；
The information to be verified and preset standard information are matched, modularization verification result is obtained according to matching result.
4. Kubernetes cluster building method as described in claim 1, which is characterized in that asked in the acquisition cluster building
Before asking, the Kubernetes cluster building method further include:
Get parms configuring request, and configuring request obtains recommended configuration information based on the parameter；
The recommended configuration information is shown on visual configuration interface；
Target configuration information is obtained, the target configuration information is matched with corresponding configuration parameter format；
If the target configuration information does not meet configuration parameter format, confidence is matched based on the target for not meeting configuration parameter format
Breath generates prompt information；
The target configuration information updated is obtained, until the target configuration information updated meets corresponding configuration parameter format, then
Target configuration information based on update generates cluster building request.
5. Kubernetes cluster building method as described in claim 1, which is characterized in that match confidence in the acquisition target
Breath, before the target configuration information is matched with corresponding configuration parameter format, the Kubernetes cluster building
Method further include:
The configuration file of existing Kubernetes cluster is obtained, each configuration file includes existing configuration parameter name and has configuration
Parameter value；
Existing configuration parameter value in the existing Kubernetes cluster is converted into picture format, and with it is corresponding have match
It sets parameter name to be labeled the existing configuration parameter value, obtains training atlas；
The trained atlas is trained using convolutional neural networks model, obtains configuration parameter format identification model.
6. Kubernetes cluster building method as claimed in claim 4, which is characterized in that the target configuration information includes
Target configuration parameter name and target configuration parameter value；
It is described to match the target configuration information with corresponding configuration parameter format, comprising:
Each target configuration parameter value in the target configuration information is converted into picture format, and is configured with corresponding target
Parameter name is labeled target configuration parameter value, obtains identification atlas；
Identification atlas is input in configuration parameter format identification model and is identified, each target configuration parameter value is obtained and matches
Set the matching probability of corresponding existing configuration parameter name in parameter format identification model；
If the matching probability is less than probability threshold value, the target configuration parameter value in the target configuration information does not meet configuration
Parameter format.
7. a kind of Kubernetes cluster building device characterized by comprising
Cluster building request module, for obtaining cluster building request, the cluster configuration request includes that configuration file is believed
Breath；
Configuration file configuration module configures the configuration according to the profile information for obtaining preset configuration template
Template obtains configuration file；
Modularization deployment module, the modularization for carrying out Kubernetes cluster according to the configuration file are disposed；
Modularization authentication module, it is described if being verified for carrying out modularization verifying to the Kubernetes cluster
Kubernetes cluster building is completed.
8. Kubernetes cluster building device as claimed in claim 7, which is characterized in that the modularization authentication module packet
It includes:
Cluster Running Status Table acquiring unit obtains corresponding cluster Running Status Table for using preset instruction；
Information acquisition unit to be verified, it is to be verified for being obtained from the cluster Running Status Table according to preset extracting rule
Information；
Verification result acquiring unit is tied for matching the information to be verified and preset standard information according to matching
Fruit obtains modularization verification result.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to
Any one of 6 Kubernetes cluster building methods.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In realization Kubernetes cluster building as described in any one of claim 1 to 6 when the computer program is executed by processor
Method.
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Application publication date: 20190823 |