CN111367618A - Code management method, system, terminal and medium based on docker - Google Patents

Code management method, system, terminal and medium based on docker Download PDF

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Publication number
CN111367618A
CN111367618A CN202010138509.8A CN202010138509A CN111367618A CN 111367618 A CN111367618 A CN 111367618A CN 202010138509 A CN202010138509 A CN 202010138509A CN 111367618 A CN111367618 A CN 111367618A
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information
kubernets
docker
script
topological structure
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潘峰
傅丰
唐晓东
高传集
蔡卫卫
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Shandong Huimao Electronic Port Co Ltd
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Shandong Huimao Electronic Port Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45504Abstract machines for programme code execution, e.g. Java virtual machine [JVM], interpreters, emulators
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • G06F2009/45562Creating, deleting, cloning virtual machine instances
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • G06F2009/45591Monitoring or debugging support
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • G06F2009/45595Network integration; Enabling network access in virtual machine instances

Abstract

The invention discloses a code management method, a system, a terminal and a medium based on docker, belongs to the field of docker containerization products, and aims to solve the technical problem of how to automatically deploy and upgrade kubernets infrastructure, namely codes. The management method includes the steps of obtaining topological structure information and network information based on configuration information of the kubernets environment, constructing an installation script, executing the installation script through a docker container to deploy the kubernets environment, and storing and maintaining the topological structure information and the network information through a git project nfra. The management system comprises a builder tool, a docker container, an allowed tool and a git. The terminal comprises a processor, an input device, an output device and a memory, wherein the processor is configured to call program instructions to execute the management method. The medium is a computer readable storage medium.

Description

Code management method, system, terminal and medium based on docker
Technical Field
The invention relates to the field of docker containerized products, in particular to a code management method, a system, a terminal and a medium based on docker.
Background
When a set of new kubernets (abbreviated as K8s, which is an open-source application for managing containerization on multiple hosts in a cloud platform) environment is built, a bridge and multiple kvm virtual machines need to be created on a physical machine, then a registry (a chinese translation is a mirror warehouse) and a git (an open-source distributed version control system, which can effectively process project version management from a very small project version to a very large project version) and the like are installed, then a deployment script configuration list of the kubernets is manually modified, an installation script (an integral project kuberpray) is executed, installation and configuration files are disposable, and the subsequent operation and maintenance management function is not available.
Based on the above, how to automatically deploy and upgrade kubernets infrastructure, i.e. codes, is a technical problem to be solved, which is convenient for automatic operation and maintenance management codes.
Disclosure of Invention
The technical task of the invention is to provide a code management method, a system, a terminal and a medium based on docker aiming at the defects, so as to solve the problems of how to automatically deploy and upgrade kubernets infrastructure, namely codes, and convenience in automatic operation and maintenance management of the codes.
In a first aspect, the invention provides a code management method based on docker, which includes acquiring topological structure information and network information based on configuration information of a kubernets environment, constructing an installation script, executing the installation script through a docker container to deploy the kubernets environment, and storing and maintaining the topological structure information and the network information through a git project infra;
the configuration information of the kubernets environment comprises but is not limited to physical machine attribute information, KVM virtual machine attribute information, kubernets attribute information, mirror image warehouse configuration information, git configuration information, a multi-network IP resource pool and physical machine bridge configuration information;
deploying the kubernets environment comprises installing and deploying KVM virtual machines, installing a mirror image warehouse, installing gits and installing and deploying kubernets clusters;
the topology information includes, but is not limited to, the mapping relationship between the KVM virtual machine and the hard disk, and the network information includes, but is not limited to, the IP address of the KVM virtual machine and the bridge of the KVM virtual machine and the physical machine.
Preferably, the method for acquiring topology information and network information and constructing an installation script based on configuration information of the kubernets environment comprises the following steps:
self-defining metadata to form a configuration file, wherein the metadata is used for recording configuration information of the kubernets environment;
importing the configuration file into a builder tool configured with a script template;
when a kubernets environment is deployed for the first time, the builder tool obtains related topological structure information and network information based on self-defined metadata and constructs an installation script;
when a kubernets environment is not deployed for the first time, the builder tool acquires relevant topological structure information and network information by combining self-defined metadata and topological structure information and network information stored in a git project infra, and constructs an installation script, wherein the relevant topological structure information and network information do not conflict with the topological structure information and the network information stored in the git project infra.
Preferably, the configuration file is in the format of yaml.
Preferably, the installation script is executed by running a docker run command in a docker container mounting mode, and an ansable tool is called to deploy the kubernets environment.
Preferably, the installation script is a genetics.sh script, including:
the first ansable script is used for installing and deploying the KVM virtual machine, the mirror image warehouse and the git;
and at least one second ansible script is in one-to-one correspondence with the types of kubernets clusters and is used for installing and deploying the kubernets clusters of the corresponding types.
Preferably, when the network information is acquired based on the configuration information of the kubernets environment, the mantissas of the IP addresses of all KVM virtual machines are aligned.
In a second aspect, the present invention provides a docker-based code management system, where the management system manages codes by using the docker-based code management method according to any one of the first aspects, and the management system includes:
the builder tool is provided with a script template and used for acquiring a configuration file, acquiring topological structure information and network information based on configuration information of a kubernets environment in the configuration file and constructing an installation script;
a docker container to execute an installation script to deploy a kubernets environment;
the system comprises an ansible tool, a database and a database, wherein the ansible tool is used for being matched with a docker container to deploy a kubernets environment, and the kubernets environment is deployed and comprises installation and deployment of a KVM virtual machine, installation of a mirror image warehouse, installation of git and installation and deployment of a kubernets cluster;
git, which is generated for deploying the kubernets environment, and the item nfra of git is used for storing and maintaining topological structure information and network information.
In a third aspect, the present invention provides a terminal, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, and the memory is used to store a computer program, where the computer program includes program instructions, and the processor is configured to call the program instructions to execute the docker-based code management method according to any one of the first aspect.
In a third aspect, the present invention provides a medium which is a computer-readable storage medium storing a computer program including program instructions which, when executed by a processor, the processor performs the docker-based code management method according to any one of the first claims.
The code management method, the system, the terminal and the medium based on the docker have the following advantages:
1. generating an installation script from the configuration information of the kubernets environment customized by the user, executing the installation script to deploy the kubernets environment, and storing and maintaining topological structure information and network information through a git project nfra, so that automatic deployment and upgrading of an infrastructure environment are realized, and subsequent automatic operation and maintenance management is facilitated;
2. the topological structure information and the network information are stored and maintained through the item nfra of git, in the subsequent maintenance process, when the topological structure information and the network information are obtained according to the configuration information and the installation script is constructed, the topological structure information and the network information stored on the item nfra of git can be checked, and the conflict between the newly obtained topological structure and the newly obtained network information and the former topological structure and network information is avoided.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of a code management method based on docker in embodiment 1.
Detailed Description
The present invention is further described in the following with reference to the drawings and the specific embodiments so that those skilled in the art can better understand the present invention and can implement the present invention, but the embodiments are not to be construed as limiting the present invention, and the embodiments and the technical features of the embodiments can be combined with each other without conflict.
It is to be understood that the terms first, second, and the like in the description of the embodiments of the invention are used for distinguishing between the descriptions and not necessarily for describing a sequential or chronological order. The "plurality" in the embodiment of the present invention means two or more.
The embodiment of the invention provides a code management method, a system, a terminal and a medium based on docker, which are used for solving the technical problem of how to automatically deploy and upgrade kubernets infrastructure, namely codes, and facilitating automatic operation and maintenance management of the codes.
Example 1:
the invention discloses a code management method based on docker, which comprises the steps of obtaining topological structure information and network information based on configuration information of a kubernets environment, constructing an installation script, executing the installation script through a docker container to deploy the kubernets environment, and storing and maintaining the topological structure information and the network information through a git project infra.
The configuration information of the kubernets environment includes, but is not limited to, physical machine attribute information, KVM virtual machine attribute information, kubernets attribute information, mirror repository configuration information, git configuration information, a multi-network IP resource pool, and physical machine bridge configuration information.
Deploying the kubernets environment includes installing and deploying KVM virtual machines, installing an image repository, installing gits, and installing and deploying kubernets clusters.
The topology information includes, but is not limited to, the mapping relationship between the KVM virtual machine and the hard disk, and the network information includes, but is not limited to, the IP address of the KVM virtual machine and the bridge of the KVM virtual machine and the physical machine.
As shown in fig. 1, in this embodiment, acquiring topology information and network information based on configuration information of a kubernets environment and constructing an installation script includes the following steps:
(1) self-defining metadata to form a configuration file, wherein the format of the configuration file is yaml, and the metadata is used for recording configuration information of the kubernets environment;
(2) importing the configuration file into a builder tool configured with a script template;
(3) when a kubernets environment is deployed for the first time, the builder tool obtains related topological structure information and network information based on self-defined metadata and constructs an installation script;
when a kubernets environment is not deployed for the first time, the builder tool acquires relevant topological structure information and network information by combining self-defined metadata and the topological structure information and the network information stored in the item nfra of git, and constructs an installation script, wherein the relevant topological structure information and the network information are not mutually conflicted with the topological structure information and the network information stored in the item nfra of git.
After the installation script is constructed, the installation script is executed by running a docker run command in a docker container mounting mode, an ansable tool is called to deploy a kubernets environment, and the builder tool pushes the topological structure information and the network information to a project ifra of git for storage.
The installation script in this embodiment is a genetics.sh script, which includes: the first ansable script is used for installing and deploying the KVM virtual machine, the mirror image warehouse and the git; and at least one second ansible script is in one-to-one correspondence with the types of kubernets clusters and is used for installing and deploying the kubernets clusters of the corresponding types.
The code management method based on docker of this embodiment can automatically deploy the kubernets environment, and if the kubernets environment is deployed for the first time, the specific process is as follows:
(1) pulling the item nfra of git;
(2) configuration information of a user-defined kubernets environment comprises user-defined physical machine attribute information, kubernets attribute information, a multi-network IP resource pool and the like;
(3) acquiring topological structure information and network information according to configuration information of a kubernets environment, and constructing an installation script, wherein the installing script comprises the following steps:
allocating an IP address to each KVM virtual machine through a multi-network IP resource pool, and ensuring the mantissas of all the IP addresses to be aligned;
creating a network bridge, and connecting the KVM virtual machine with a physical machine network;
creating a mapping relation between the KVM virtual machine and the hard disk;
constructing a first ansable script corresponding to the KVM virtual machine, the mirror image warehouse and the git;
constructing a second ansible script corresponding to the kubernets cluster, wherein the number of the second ansible scripts is two in the embodiment, and the two second ansible scripts are respectively a second ansible script corresponding to the kubernets cluster-ceph and a second ansible script corresponding to the kubernets cluster-openstack & app;
packaging the first and the two second ansible scripts to form a genesis.sh script;
(4) executing a genesis.sh script through a docker container, and calling an ansilbe tool to distribute and deploy a kubernets cluster;
and pushing the topological structure information and the network information to an item nfra of git.
If the maintenance is carried out on the deployed kubernets environment, the flow is as follows:
(1) pulling the item nfra of git;
(2) configuration information of a user-defined kubernets environment comprises user-defined physical machine attribute information, kubernets attribute information, a multi-network IP resource pool and the like;
(3) the method comprises the following steps of combining configuration information of a user-defined kubernets environment and a git project infra to store topological structure information and network information to obtain corresponding topological structure information and network information and construct an installation script, wherein the steps comprise:
allocating an IP address for each new KVM virtual machine through a multi-network IP resource pool, wherein the IP address allocated by the new KVM virtual machine cannot conflict with the network resources stored in the item nfra of git;
creating a network bridge, and connecting the KVM virtual machine with a physical machine network;
creating a mapping relation between the KVM virtual machine and the hard disk, wherein the newly created mapping relation between the virtual machine and the hard disk cannot conflict with the network resources stored in the item nfra of git;
constructing a first ansable script corresponding to the KVM virtual machine, the mirror image warehouse and the git;
constructing a second ansible script corresponding to the kubernets cluster, wherein the number of the second ansible scripts is two in the embodiment, and the two second ansible scripts are respectively a second ansible script corresponding to the kubernets cluster-ceph and a second ansible script corresponding to the kubernets cluster-openstack & app;
packaging the first and the two second ansible scripts to form a genesis.sh script;
(4) executing a genesis.sh script through a docker container, and calling an ansilbe tool to distribute and deploy a kubernets cluster;
and pushing the topological structure information and the network information to an item nfra of git.
Example 2:
the code management system based on the docker comprises a builder tool, a docker container, an allowed tool and a git, wherein the builder tool is configured with a script template and used for acquiring a configuration file, acquiring topological structure information and network information based on configuration information of a kubernets environment in the configuration file and constructing an installation script; the docker container is used for executing an installation script to deploy the kubernets environment; the ansible tool is used for being matched with the docker container to deploy a kubernets environment, wherein the kubernets environment comprises installation and deployment of a KVM virtual machine, installation of a mirror image warehouse, installation of git and installation and deployment of a kubernets cluster; git is generated for deploying the kubernets environment, and the item nfra of git is used for storing and maintaining topological structure information and network information.
When a kubernets environment is deployed for the first time, the builder tool obtains related topological structure information and network information based on self-defined metadata and constructs an installation script; when a kubernets environment is not deployed for the first time, the builder tool acquires relevant topological structure information and network information by combining self-defined metadata and the topological structure information and the network information stored in the item nfra of git, and constructs an installation script, wherein the relevant topological structure information and the network information are not mutually conflicted with the topological structure information and the network information stored in the item nfra of git.
The installation script constructed by the builder tool is a genetics. The KVM virtual machine management system comprises a first infrastructure script and a second infrastructure script, wherein the first infrastructure script is used for installing and deploying a KVM virtual machine, a mirror image warehouse and a git; and the second ansible script is in one-to-one correspondence with the types of kubernets clusters and is used for installing and deploying the kubernets clusters of the corresponding types.
The docker container runs a docker run command to execute the installation script in a mounting mode, and invokes an ansable tool to deploy the kubernets environment. The infrastructure tool is an automatic operation and maintenance tool, is developed based on Python, integrates the advantages of a plurality of operation and maintenance tools (puppet, cfengine, chef, func and fabric), realizes functions of batch system configuration, batch program deployment, batch operation commands and the like, and realizes a distributed deployment kubernets environment.
The code management system based on docker of the present invention manages codes by the code management method based on docker disclosed in embodiment 1.
Example 3:
the terminal comprises a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are connected with each other, the memory is used for storing a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the code management method based on docker disclosed in embodiment 1.
In this embodiment, the terminal is a server.
Example 4:
one medium of the present invention is a computer-readable storage medium storing a computer program, the computer program including program instructions, which, when executed by a processor, the processor performs a docker-based code management method as disclosed in embodiment 1.
In this embodiment, the medium is a mechanical hard disk. The application is not limited to mechanical hard disks, but can also be other computer readable storage media, such as solid state disks and the like.
The above embodiments are merely preferred embodiments for fully illustrating the present invention, and the scope of the present invention is not limited thereto. The equivalent substitution or change made by the technical personnel in the technical field on the basis of the invention is all within the protection scope of the invention. The protection scope of the invention is subject to the claims.

Claims (9)

1. The code management method based on docker is characterized in that topological structure information and network information are obtained based on configuration information of a kubernets environment, an installation script is constructed, the installation script is executed through a docker container to deploy the kubernets environment, and the topological structure information and the network information are stored and maintained through a git project infra;
the configuration information of the kubernets environment comprises but is not limited to physical machine attribute information, KVM virtual machine attribute information, kubernets attribute information, mirror image warehouse configuration information, git configuration information, a multi-network IP resource pool and physical machine bridge configuration information;
deploying the kubernets environment comprises installing and deploying KVM virtual machines, installing a mirror image warehouse, installing gits and installing and deploying kubernets clusters;
the topology information includes, but is not limited to, the mapping relationship between the KVM virtual machine and the hard disk, and the network information includes, but is not limited to, the IP address of the KVM virtual machine and the bridge of the KVM virtual machine and the physical machine.
2. The docker-based code management method according to claim 1, wherein the obtaining of topology information and network information based on configuration information of a kubernets environment and the building of an installation script comprises:
self-defining metadata to form a configuration file, wherein the metadata is used for recording configuration information of the kubernets environment;
importing the configuration file into a builder tool configured with a script template;
when a kubernets environment is deployed for the first time, the builder tool obtains related topological structure information and network information based on self-defined metadata and constructs an installation script;
when a kubernets environment is not deployed for the first time, the builder tool acquires relevant topological structure information and network information by combining self-defined metadata and topological structure information and network information stored in a git project infra, and constructs an installation script, wherein the relevant topological structure information and network information do not conflict with the topological structure information and the network information stored in the git project infra.
3. A docker-based code management method according to claim 2, characterized in that the configuration file has a format of yaml.
4. A docker-based code management method according to claim 1, 2 or 3, characterized in that the installation script is executed by running a docker run command in a docker container mount manner, and an ansable tool is invoked to deploy the kubernets environment.
5. The docker-based code management method of claim 4, wherein the installation script is a genetics.sh script, comprising:
the first ansable script is used for installing and deploying the KVM virtual machine, the mirror image warehouse and the git;
and at least one second ansible script is in one-to-one correspondence with the types of kubernets clusters and is used for installing and deploying the kubernets clusters of the corresponding types.
6. A docker-based code management method according to claim 1, 2 or 3, wherein when the network information is obtained based on the configuration information of the kubernets environment, the mantissas of the IP addresses of all KVM virtual machines are aligned.
7. A docker-based code management system, characterized in that the management system manages codes by a docker-based code management method according to any one of claims 1 to 6, the management system comprising:
the builder tool is provided with a script template and used for acquiring a configuration file, acquiring topological structure information and network information based on configuration information of a kubernets environment in the configuration file and constructing an installation script;
a docker container to execute an installation script to deploy a kubernets environment;
the system comprises an ansible tool, a database and a database, wherein the ansible tool is used for being matched with a docker container to deploy a kubernets environment, and the kubernets environment is deployed and comprises installation and deployment of a KVM virtual machine, installation of a mirror image warehouse, installation of git and installation and deployment of a kubernets cluster;
git, which is generated for deploying the kubernets environment, and the item nfra of git is used for storing and maintaining topological structure information and network information.
8. Terminal, characterized in that it comprises a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, the memory being intended to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the docker-based code management method according to any of claims 1-6.
9. Medium, being a computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions which, when executed by a processor, the processor performs the docker-based code management method according to any of claims 1-6.
CN202010138509.8A 2020-03-03 2020-03-03 Code management method, system, terminal and medium based on docker Pending CN111367618A (en)

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CN111796863A (en) * 2020-07-10 2020-10-20 四川中电启明星信息技术有限公司 Cross-environment project version management method
CN111796863B (en) * 2020-07-10 2024-04-05 四川中电启明星信息技术有限公司 Cross-environment project version management method
CN111930388A (en) * 2020-07-13 2020-11-13 银盛支付服务股份有限公司 Continuous integration method and system based on k8s and docker container
CN111930388B (en) * 2020-07-13 2024-05-03 银盛支付服务股份有限公司 Sustainable integration method and system based on k8s and dock containers
CN114143180A (en) * 2021-10-20 2022-03-04 武汉光庭信息技术股份有限公司 Method and device for light-weight rapid automatic deployment of K8s cluster
CN114116684A (en) * 2022-01-27 2022-03-01 中国传媒大学 Docker containerization-based deep learning large model and large data set version management method
CN114116684B (en) * 2022-01-27 2022-05-24 中国传媒大学 Docker containerization-based deep learning large model and large data set version management method

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