CN111669284A - OpenStack automatic deployment method, electronic device, storage medium and system - Google Patents
OpenStack automatic deployment method, electronic device, storage medium and system Download PDFInfo
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- CN111669284A CN111669284A CN202010350976.7A CN202010350976A CN111669284A CN 111669284 A CN111669284 A CN 111669284A CN 202010350976 A CN202010350976 A CN 202010350976A CN 111669284 A CN111669284 A CN 111669284A
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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
- H04L41/0893—Assignment of logical groups to network elements
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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
- H04L41/0876—Aspects of the degree of configuration automation
- H04L41/0886—Fully automatic configuration
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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
- H04L41/22—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
Abstract
The invention discloses an OpenStack automatic deployment method, which relates to the technical field of cloud computing and comprises the following steps: acquiring a cluster and nodes contained in the cluster; establishing an OpenStack environment of the cluster; according to the OpenStack environment, network configuration and storage configuration are carried out on all nodes; OpenStack is deployed. The method is suitable for physical bare machines or virtual machines, the deployment process is displayed in a visual mode, the operation is simple, the user experience is good, operation and maintenance personnel can conveniently and visually check the deployment condition, various errors occurring in the deployment can be conveniently and accurately positioned to be rapidly solved, and the operation and maintenance pressure is reduced. The invention also discloses electronic equipment, a computer storage medium and an OpenStack automatic deployment system.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to an OpenStack automatic deployment method, electronic equipment, a storage medium and a system.
Background
With the continuous development of computers, cloud computing is also more and more widely applied. In the development process of cloud computing, deploying OpenStack is a very important step. OpenStack was developed and launched by NASA (National Aeronautics and SpaceAdministration, National aerospace agency) and Rackspace collaboration. As an open source cloud computing management platform project, OpenStack supports almost all types of cloud environments.
For more convenient and rapid deployment of OpenStack environments, too many ways of deploying OpenStack have also been created, such as: the method is mainly characterized in that the DevStack is used for installing the OpenStack environment by configuring parameters and executing shell scripts; an all-in-one/mulit-node/mulit HA-node environment was deployed manually. However, the traditional OpenStack deployment and operation and maintenance modes are partially ordered, the logs can only be checked in the later operation and maintenance mode through the order mode, the steps are complicated, a visual operation interface is not provided, and a plurality of limitations exist and need to be further improved.
Disclosure of Invention
In order to overcome the defects of the prior art, one of the purposes of the present invention is to provide an OpenStack automated deployment method, which deploys openstacks uniformly on a physical bare machine or a virtual machine through cluster visualization operation, and has the advantages of simple operation, good user experience, convenience for operation and maintenance personnel to visually check the deployment situation, and reduced operation and maintenance pressure.
One of the purposes of the invention is realized by adopting the following technical scheme:
an OpenStack automatic deployment method is used for visually deploying OpenStack on a physical bare machine or a virtual machine, and comprises the following steps:
acquiring a cluster and nodes contained in the cluster;
establishing an OpenStack environment of the cluster;
according to the OpenStack environment, network configuration and storage configuration are carried out on all nodes;
OpenStack is deployed.
Further, establishing an OpenStack environment of the cluster includes:
setting an OpenStack version of the cluster;
adopting a kvm virtualization technology to start intel VT-x on a computing node server in the cluster;
configuring nodes in the cluster as computing nodes or control nodes based on a hyper-converged deployment mode;
and taking the Ceph shared storage as a back-end data storage warehouse of the cluster.
Further, according to the OpenStack environment, network configuration is performed on all nodes, including:
simultaneously using the computing node and the control node in the super-fusion deployment mode as a network node and a storage node;
acquiring networking structures and IP addresses of all nodes;
according to the networking structure and the IP address, a management network is configured for all nodes, a storage network, an internal network and a public network are configured for the computing node, an internal network and a public network are configured for the network node, and a storage network is configured for the storage node.
Further, when different networks configured by the nodes share the same network card, the different networks are isolated by using the vlan.
Further, still include: configuring additional services to the node, including: one or more of a time synchronization service, a metering service, a debugging service, an orchestration service are enabled.
Further, deploying OpenStack, comprising: OpenStack is deployed using kolla-ansible, with each component of OpenStack being placed individually in a container to run.
It is a further object of the present invention to provide an electronic device for performing one of the objects of the present invention, comprising a processor, a storage medium and a computer program, the computer program being stored in the storage medium, the computer program being adapted to perform the OpenStack automated deployment method of one of the objects of the present invention when executed by the processor.
It is a further object of the invention to provide a computer readable storage medium storing one of the objects of the invention, having stored thereon a computer program which, when executed by a processor, implements an OpenStack automated deployment method of one of the objects of the invention.
The fourth purpose of the present invention is to provide an OpenStack automated deployment system, which deploys OpenStack uniformly on a physical bare machine or a virtual machine through cluster visualization operation, and the system is simple in operation, good in user experience, convenient for operation and maintenance personnel to visually check deployment conditions, and reduces operation and maintenance pressure.
The fourth purpose of the invention is realized by adopting the following technical scheme:
an OpenStack automated deployment system, comprising: the system comprises a cluster management module, a physical node module and a setting module;
the cluster management module is used for visually deploying OpenStack on a physical bare machine or a virtual machine; acquiring a cluster and nodes contained in the cluster; establishing an OpenStack environment of the cluster; according to the OpenStack environment, network configuration and storage configuration are carried out on all nodes; deploying OpenStack; displaying the deployed cluster information;
the node module is used for checking node information; remotely entering the node for operation;
the setting module is used for managing and deploying the mirror image of the system.
Further, the cluster information includes cluster nodes, network settings, storage settings, additional services, operation logs, deployment progress, and health checks.
Compared with the prior art, the invention has the beneficial effects that:
the deployment method is suitable for physical bare machines or virtual machines, the deployment process is displayed in a visual mode, the operation is simple, the user experience is good, operation and maintenance personnel can conveniently and visually check the deployment situation, various errors in the deployment can be conveniently and accurately positioned to be rapidly solved, the operation and maintenance pressure is reduced, and the method has good popularization and application values.
Drawings
Fig. 1 is a flowchart of an OpenStack automated deployment method according to an embodiment of the present invention;
fig. 2 is a block diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
The present invention will now be described in more detail with reference to the accompanying drawings, in which the description of the invention is given by way of illustration and not of limitation. The various embodiments may be combined with each other to form other embodiments not shown in the following description.
Example one
An embodiment provides an OpenStack automated deployment method, which aims to uniformly deploy OpenStack on a physical bare machine or a virtual machine through cluster visualization operation. The method is suitable for physical bare machines or virtual machines, the deployment process is displayed in a visual mode, the operation is simple, the user experience is good, operation and maintenance personnel can conveniently and visually check the deployment situation, the operation and maintenance pressure is reduced, various errors in the deployment can be conveniently and accurately positioned to be rapidly solved, and the method has good popularization and application values.
Referring to fig. 1, an OpenStack automated deployment method is used for visually deploying OpenStack on a physical bare machine or a virtual machine, and includes the following steps:
s110, acquiring the cluster and the nodes contained in the cluster. The cluster comprises a group of mutually independent physical or virtual nodes which are interconnected through a network, and unified management and deployment of all the nodes can be realized through managing and deploying the cluster, so that better version control and copyright management are realized.
And S120, establishing an OpenStack environment of the cluster.
And acquiring a preset configuration file, wherein the preset configuration file comprises configuration information such as an adopted virtualization technology, a deployment mode, a back-end storage and the like. And establishing a corresponding operating environment for the cluster needing to deploy the OpenStack according to the configuration file, and ensuring that all physical or virtual nodes can normally deploy the OpenStack.
The virtualization technology may be KVM virtualization technology, and KVM (Kernel-based Virtual Machine) is a Kernel-based Virtual Machine, which may implement virtualization functions on a computer with an x86 architecture. The virtualization technology can also be Xen virtualization technology, Xen is realized by running kernel supporting Xen functions, the virtual machine can be controlled to allocate resources to a plurality of clients, Xen simultaneously supports full virtualization and para-virtualization, and Xen has the defect that if the version of Xen is to be updated, the whole kernel needs to be recompiled. Compared with the KVM, the KVM is simpler, the kernel does not need to be compiled again, any modification does not need to be made on the current kernel, the structure is more simplified, the code quantity is smaller, and the possibility of error is smaller.
The deployment mode can be a super-converged deployment mode, and can deploy computing and storage on the same node, and provide computing and storage capabilities. The deployment mode can also be a separated deployment mode, so that the system is independent from the cloud platform system, and physical resources such as a CPU (central processing unit)/memory/network are avoided being contended for by calculation and storage.
The backend storage may use Ceph or NFS. Ceph supports three call interfaces: the three modes of object storage, block storage and file system mounting can be used together. NFS allows remote clients to access over a network in a similar manner to a local file system.
And S130, performing network configuration and storage configuration on the nodes according to the OpenStack environment. And performing network configuration on all physical or virtual nodes in the cluster to ensure that the networks of all the nodes are normally connected. And all the physical or virtual nodes are subjected to storage configuration, so that all the nodes can store corresponding data volume.
And S140, deploying OpenStack. And after the configuration of all the nodes in the cluster is completed, starting to deploy OpenStack.
The OpenStack is directly and visually deployed on a physical bare machine or a virtual machine through an interface, the cloud service is deployed to bring physical or virtual nodes into a cloud environment, the deployment process is displayed in a visual mode, a UI management and setting interface is provided, command configuration is not needed, the operation is simple, the user experience is good, operation and maintenance personnel can conveniently and visually check the deployment condition, various errors occurring in the deployment can be accurately positioned to be rapidly solved, the operation and maintenance pressure is reduced, and the OpenStack deployment method has good popularization and application values.
In other embodiments, all nodes are configured with additional services, including one or more of enabling time synchronization services, metering services, debugging services, orchestration services, to provide a user experience.
In other embodiments, the cluster adds a preset physical or virtual node by adding a node, and performs steps S120 to S140 on the added node, thereby facilitating horizontal expansion and improving node availability.
In other embodiments, the OpenStack is deployed by using kolla-ansable, each component of the OpenStack is placed in a container to run independently, dependency and running environment of each component and service are not conflicted with each other, and component isolation is achieved. Because each component is isolated, the operation of other components can not be influenced by replacing and upgrading one component independently, and the upgrading and maintenance of the components can be carried out on all nodes controlled in batch on the central node for deploying the ZTVIOLET, so that the upgrading and maintenance are easy.
Example two
The second embodiment is an improvement on the first embodiment, the configuration file is stored by adopting a kvm virtualization technology, a super-fusion deployment mode and Ceph sharing, an OpenStack environment of the cluster is established, and the stability, the utilization rate and the data forwarding efficiency of the nodes are improved. The method comprises the following steps:
setting an OpenStack version of the cluster;
adopting a kvm virtualization technology, and starting intel VT-x on a computing node server in a cluster;
configuring nodes in the cluster into computing nodes or control nodes based on the super-fusion deployment mode;
the Ceph shared store is used as a back-end data store for the cluster.
And the name of the cluster is set, so that cluster management is facilitated. OpenStack currently has 18 versions, and OpenStack deployment of a cluster can adopt corresponding versions according to actual needs to uniformly perform version control on all nodes. A kvm virtualization platform is built, and it is ensured that intel VT-x is opened by a server serving as a computing node, wherein the intel VT-x technology is a VT virtualization technology for enhancing a processor and comprises intel VTFlexPriority, intel VTFlexMigration and ExtendedPageTableTables. Intel VT-x can make a CPU work like a plurality of CPUs running in parallel, thereby making a plurality of operating systems run in a physical server at the same time, reducing (even eliminating) resource contention and limitation among a plurality of virtual machine operating systems, greatly improving the safety and performance of the virtual machine from the aspect of hardware, and being beneficial to improving the flexibility and stability of a software-based virtualization solution. The virtual machine migration characteristic of the Intel VT-x can provide powerful protection for IT investment, and further improve the flexibility of fault switching, load balancing, disaster recovery and maintenance.
Preferably, the HA is enabled, the nodes are divided into active nodes and standby nodes, and when the active node HAs a problem and the running service (task) cannot run normally, the standby nodes detect the problem and immediately continue the active node to execute the service, so that uninterrupted or short-time interruption of the service is realized, and the availability and running stability of the nodes are improved.
And according to the OpenStack environment, performing network configuration on all nodes. Under the super-fusion deployment mode, nodes in the cluster are required to be computing nodes or control nodes, the computing nodes and the control nodes can be used as network nodes and storage nodes at the same time, computing and storage capacity is provided at the same time, computing resources and storage resources are increased at the same time when one node is added, transverse expansion and management are facilitated, and the utilization rate of the nodes is improved at the same time. The method comprises the steps of obtaining networking structures and IP addresses of all physical and virtual nodes, configuring a management network for all the nodes according to the networking structures and the IP addresses, configuring a storage network, an internal network and a public network for a computing node, configuring the internal network and the public network for a network node, configuring the storage network for the storage node, and before the nodes start installation of a system and deployment of OpenStack, needing to confirm that all the networks are configured, so as to ensure normal network connection.
Preferably, when different networks configured by the nodes share the same network card, the vlan is used to isolate the different networks, so as to avoid conflict between network configurations. Such as: if the vlan 1 of the network card eth1 is occupied by the management network and if other networks want to use the network card eth1, an alternative vlan is needed.
The ceph is used as the back-end storage of the openstack, and when data change dynamically and frequently, the usability of the nodes is improved through shared storage, and the data forwarding efficiency is improved. Preferably, in order to adapt to the scale of stored data, parameters such as Ceph daemons and cache pools are configured for all nodes, whether Ceph rgw, Ceph mds and Ceph rgw keystone are enabled or not is selected, the default size, the minimum value, the default pg quantity and the minimum pg quantity of Ceph osd pool are set, and the storage performance is improved.
EXAMPLE III
Fig. 2 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention, as shown in fig. 2, the electronic device includes a processor 310, a memory 320, an input system 330, and an output system 340; the number of the processors 310 in the computer device may be one or more, and one processor 310 is taken as an example in fig. 2; the processor 310, the memory 320, the input system 330, and the output system 340 in the electronic device may be connected by a bus or other means, and the bus connection is exemplified in fig. 2.
The memory 320 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the OpenStack automated deployment method in the embodiment of the present invention. The processor 310 executes various functional applications and data processing of the electronic device by running the software programs, instructions and modules stored in the memory 320, that is, the OpenStack automated deployment method in the first to second embodiments is implemented.
The memory 320 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 320 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 320 may further include memory located remotely from the processor 310, which may be connected to the electronic device through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input system 330 may be used to receive clusters, etc. The output system 340 may include a display device such as a display screen.
Example four
A fourth embodiment of the present invention further provides a storage medium containing computer-executable instructions, where the computer-executable instructions are executed by a computer processor to perform an OpenStack automated deployment method, where the method includes:
acquiring a cluster and nodes contained in the cluster;
establishing an OpenStack environment of the cluster according to a preset configuration file;
according to the OpenStack environment, network configuration and storage configuration are carried out on all nodes;
OpenStack is deployed.
Of course, the storage medium provided by the embodiment of the present invention includes computer-executable instructions, and the computer-executable instructions are not limited to the method operations described above, and may also perform related operations in the OpenStack automated deployment method provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes instructions for enabling an electronic device (which may be a mobile phone, a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
EXAMPLE five
The fifth embodiment discloses an OpenStack automated deployment system corresponding to the OpenStack automated deployment method in the fifth embodiment, which includes: the system comprises a cluster management module, a physical node module and a setting module;
the cluster management module is used for visually deploying OpenStack on a physical bare machine or a virtual machine; acquiring a cluster and nodes contained in the cluster; establishing an OpenStack environment of the cluster; according to the OpenStack environment, network configuration and storage configuration are carried out on all nodes; deploying OpenStack; displaying the deployed cluster information;
the node module is used for checking node information; remotely entering a node for operation;
and the setting module is used for managing and deploying the mirror image of the system.
The cluster management module displays all deployed clusters including information such as cluster states and node numbers, and provides a cluster deployment entrance. The node module can check the state of the node, the cluster, the node memory, the CPU and other monitoring data, and can remotely enter the node to perform certain operation. The setting module is mainly used for managing the mirror image of the deployment system and providing the functions of uploading, deleting and activating the mirror image.
Preferably, the cluster information includes, but is not limited to, basic settings, cluster nodes, network settings, storage settings, additional services, operation logs, deployment progress, and health checks, which facilitates users to visually check deployment conditions and improves user experience.
Preferably, the node module checks the CPU and the memory numerical value curve of the node in a graph mode, so that a user can conveniently manage the node, and the user experience is improved.
The OpenStack is directly deployed visually to a physical bare machine or a virtual machine through the visual operation of the cluster on the interface, the cloud service is deployed to bring physical or virtual nodes into a cloud environment, the deployment process is displayed in a visual mode, command configuration is not needed, the operation is simple, the user experience is good, operation and maintenance personnel can conveniently and visually check the deployment condition, various errors occurring in the accurate positioning deployment can be rapidly solved, the operation and maintenance pressure is reduced, and the method has good popularization and application values.
It should be noted that, in the embodiment of the OpenStack automated deployment system, each unit and each module included in the OpenStack automated deployment system are only divided according to functional logic, but are not limited to the above division, as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
Various other modifications and changes may be made by those skilled in the art based on the above-described technical solutions and concepts, and all such modifications and changes should fall within the scope of the claims of the present invention.
Claims (10)
1. An OpenStack automated deployment method is characterized in that: the method is used for visually deploying OpenStack on a physical bare machine or a virtual machine, and comprises the following steps:
acquiring a cluster and nodes contained in the cluster;
establishing an OpenStack environment of the cluster;
according to the OpenStack environment, network configuration and storage configuration are carried out on all nodes;
OpenStack is deployed.
2. The OpenStack automated deployment method of claim 1, wherein: establishing an OpenStack environment of the cluster, including:
setting an OpenStack version of the cluster;
adopting a kvm virtualization technology to start intel VT-x on a computing node server in the cluster;
configuring nodes in the cluster as computing nodes or control nodes based on a hyper-converged deployment mode;
and taking the Ceph shared storage as a back-end data storage warehouse of the cluster.
3. The OpenStack automated deployment method of claim 2, wherein: according to the OpenStack environment, network configuration is carried out on all nodes, and the network configuration comprises the following steps:
simultaneously using the computing node and the control node in the super-fusion deployment mode as a network node and a storage node;
acquiring networking structures and IP addresses of all nodes;
according to the networking structure and the IP address, a management network is configured for all nodes, a storage network, an internal network and a public network are configured for the computing node, an internal network and a public network are configured for the network node, and a storage network is configured for the storage node.
4. The OpenStack automated deployment method of claim 3, wherein: when different networks configured by the nodes share the same network card, the different networks are isolated by using the vlan.
5. The OpenStack automated deployment method of claim 1, wherein: further comprising: configuring additional services to the node, including: one or more of a time synchronization service, a metering service, a debugging service, an orchestration service are enabled.
6. The OpenStack automated deployment method of claim 1, wherein: deploying OpenStack, comprising: OpenStack is deployed using kolla-ansible, with each component of OpenStack being placed individually in a container to run.
7. An electronic device comprising a processor, a storage medium, and a computer program stored in the storage medium, wherein the computer program, when executed by the processor, performs the OpenStack automated deployment method of any of claims 1 to 6.
8. A computer storage medium having a computer program stored thereon, characterized in that: the computer program, when executed by a processor, implements the OpenStack automated deployment method of any of claims 1 to 6.
9. An OpenStack automated deployment system, comprising: the system comprises a cluster management module, a physical node module and a setting module;
the cluster management module is used for visually deploying OpenStack on a physical bare machine or a virtual machine; acquiring a cluster and nodes contained in the cluster; establishing an OpenStack environment of the cluster; according to the OpenStack environment, network configuration and storage configuration are carried out on all nodes; deploying OpenStack; displaying the deployed cluster information;
the node module is used for checking node information; remotely entering the node for operation;
the setting module is used for managing and deploying the mirror image of the system.
10. The OpenStack automated deployment system of claim 9, wherein: the cluster information comprises cluster nodes, network settings, storage settings, additional services, operation logs, deployment progress and health check.
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| CN112436966B (en) * | 2020-11-17 | 2022-05-31 | 浪潮云信息技术股份公司 | OpenStack platform-based cloud physical host network card binding configuration method and system |
| CN112583637A (en) * | 2020-11-25 | 2021-03-30 | 北京浪潮数据技术有限公司 | Distributed cloud cluster deployment method and device and related equipment |
| CN113434159A (en) * | 2021-07-08 | 2021-09-24 | 恒安嘉新（北京）科技股份公司 | Visual operation and maintenance management elastic search method, device, medium and electronic equipment |
| CN114661236A (en) * | 2022-03-25 | 2022-06-24 | 江苏安超云软件有限公司 | Deployment method and system of hybrid storage nodes |
| CN115904621A (en) * | 2022-10-12 | 2023-04-04 | 北京志凌海纳科技有限公司 | Super-fusion system host maintenance method and device |
| CN115904621B (en) * | 2022-10-12 | 2023-09-19 | 北京志凌海纳科技有限公司 | Method and device for maintaining host of super fusion system |
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