CN111610985B - Kubernetes cluster rapid deployment method on domestic platform - Google Patents

Kubernetes cluster rapid deployment method on domestic platform Download PDF

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CN111610985B
CN111610985B CN202010402158.7A CN202010402158A CN111610985B CN 111610985 B CN111610985 B CN 111610985B CN 202010402158 A CN202010402158 A CN 202010402158A CN 111610985 B CN111610985 B CN 111610985B
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domestic
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compressed file
kubernetes
operating system
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CN111610985A (en
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李准
曹远志
秦光睿
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Kirin Software Co Ltd
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Kirin Software Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • G06F8/60Software deployment
    • G06F8/61Installation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/06Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network

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Abstract

The kubernetes cluster rapid deployment method on the domestic platform can repeatedly install and use a specific operating system on the domestic platform, and avoids delay caused by file downloading failure and deployment failure; the deployment time is greatly shortened, and the whole process only needs about 5 to 10 minutes according to the scale of the cluster; in addition, the Internet is not required to be accessed, and departments with special requirements on network security can be provided with safe and reliable guarantee by deploying kubernetes clusters on the domestic platform; the deployment of the whole kubernetes cluster on the domestic platform can be completed by only copying 2 compressed files to the machine to be deployed and configuring one file and executing 2 scripts, the deployment is simple, convenient and quick, and the complexity of the deployment of the kubernetes on the domestic platform is greatly reduced.

Description

Kubernetes cluster rapid deployment method on domestic platform
Technical Field
The invention belongs to the technical field of kubernetes clusters, and particularly relates to a kubernetes cluster rapid deployment method on a domestic platform.
Background
Kubernetes is a portable, extensible and open-source container orchestration management platform for managing containerized loads and services that facilitates declarative configuration and automation. The traditional application deployment method is to deploy the applications directly on the physical machines, and the applications compete with each other for the resources of the physical machines, so that the performance of certain application programs is reduced, and the resources on the physical machines are not fully utilized.
As a solution, virtual machines were introduced, i.e. multiple virtual machines were deployed on a single physical machine, virtualization allowing applications to be isolated between virtual machines. However, the virtual machine consumes a lot of resources to the physical machine and is inconvenient to migrate.
As a new solution, a representative technology of the containerization technology is Docker, that is, packaging applications into mirror images, and sharing a physical machine operating system between containers, where the containers have their own file systems, CPUs, memories, process spaces, and the like. Because it is decoupled with the underlying physical machine operating system, it is convenient to migrate and lightweight.
With the containerization of more and more applications, managing these containers is becoming a tricky matter, for which kubernetes has developed. However, the deployment of kubernetes is always complicated, and generally uses kubernetes as an initialization tool, but a large number of image files and binary files need to be downloaded, and the files are often on an overseas server, so that the deployment failure is caused by overtime of downloading, and no kubernetes deployment method on a domestic platform exists.
In the chinese patent of the invention, "a method for deploying container clusters with high reliability, high performance and high efficiency" (application number CN 201911065998.2), the method is provided to deploy new kubernetes clusters based on existing kubernetes clusters, instead of directly deploying kubernetes clusters on metal bare computers, which requires access to an internet network server to download images, and which does not belong to deployment on domestic platforms.
In the Chinese patent of the invention, "a method for deploying different CPU architectures" with kubernetes (application number CN 201911068886.2), although a kubernetes cluster deployment method on an arm64 architecture is provided, there is no kubernetes cluster deployment method on a domestic platform, and the method needs to pull the needed mirror image to a mirror image warehouse during deployment, so that the cluster deployment failure is easily caused by too long time for downloading the corresponding mirror image, and an Internet network server needs to be accessed.
Disclosure of Invention
In order to solve the problems, the invention provides a kubernetes cluster rapid deployment method on a domestic platform, which comprises the following steps:
manufacturing a deb packet adapting to a preset domestic operating system version;
downloading a mirror image which is adapted to a preset domestic operating system version and packaging the mirror image into a first compressed file;
downloading an anstable dependent python package;
downloading a caliccoctl file;
packaging the relevant dependent package into a second compressed file;
providing a virtual machine or a physical machine;
modifying kubespray related configuration files and packaging the modified kubespray related configuration files into a third compressed file;
and executing an allowable-playlist command to install the cluster.
Preferably, the preparing the deb packet adapted to the version of the preset domestic operating system includes the steps of:
manufacturing an ipvssadm deb packet which is adaptive to a preset domestic operating system version;
manufacturing an ipset deb packet adapting to a preset domestic operating system version;
preparing an auss-tools deb package adapting to a preset domestic operating system version;
making an apt-transport-https deb packet adapting to a preset domestic operating system version;
making a software-properties-common db package adapted to a version of a preset domestic operating system;
and manufacturing a dock deb packet adapting to the version of the preset domestic operating system.
Preferably, the downloading the image adapted to the version of the preset domestic operating system and packing the image into the first compressed file includes the steps of:
deploying a dock on a domestic platform;
downloading a kubernetes related mirror image by using a docker pull command;
and packaging the downloaded image into a first compressed file through a dock save command.
Preferably, said downloading an anstable dependent python package comprises the steps of:
installing a pip packet manager on a domestic platform;
an anstable dependent python package is installed over pip.
Preferably, said packaging the relevant dependency package into a second compressed file comprises the steps of:
writing shell scripts;
and packaging the written shell script, the deb package, the first compressed file, the python package and the calicoctl file into a second compressed file.
Preferably, said modifying kubexparay related configuration file and packaging into a third compressed file comprises the steps of:
modifying a configuration file in kubyspay to adapt to rapid deployment of kubynes on a domestic platform in a network-free environment;
kubrexparay is packaged into a third compressed file.
Preferably, the executing the stable-playbook command for cluster installation includes the steps of:
selecting a preset number of physical machines or virtual machines as control nodes, and taking the rest physical machines or virtual machines as calculation nodes;
configuring hostname of the control node and the computing node to be unique;
configuring the control node so that ssh password-free login can be realized between the control node and the computing node;
copying the second compressed file to the control node and the computing node respectively;
copying the third compressed file to the control node;
executing the shell script;
decompressing the third compressed file to form a kubrexparay file, and configuring IP information of the virtual machine or the physical machine on the kubrexparay file;
and executing the cluster deployment command to complete the cluster deployment work.
According to the kubernetes cluster rapid deployment method on the domestic platform, a specific operating system on the domestic platform can be repeatedly installed and used, and as the deb package file, the mirror image file, the python dependent package file and the kubernetes binary file required for deploying the kubernetes cluster are installed on a machine to be deployed in advance, internet access is not needed in the whole process, and delay caused by file downloading failure and deployment failure are avoided; the deployment time is greatly shortened, and the whole process only needs about 5 to 10 minutes according to the scale of the cluster; in addition, the Internet is not required to be accessed, and departments with special requirements on network security can be provided with safe and reliable guarantee by deploying kubernetes clusters on the domestic platform; the deployment of the whole kubernetes cluster on the domestic platform can be completed by only copying 2 compressed files to the machine to be deployed and configuring one file and executing 2 scripts, the deployment is simple, convenient and quick, and the complexity of the deployment of the kubernetes on the domestic platform is greatly reduced.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
Fig. 1 is a schematic flow chart of a kubernetes cluster rapid deployment method on a domestic platform according to a first embodiment of the present invention.
Detailed Description
The objects, technical solutions and advantages of the present invention will become more apparent by the following detailed description of the present invention with reference to the accompanying drawings. It should be understood that the description is only illustrative and is not intended to limit the scope of the invention. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the present invention.
Referring to fig. 1, in an embodiment of the present application, the present application provides a kubernetes cluster rapid deployment method on a domestic platform, where the method includes the steps of:
s1: manufacturing a deb packet adapting to a preset domestic operating system version;
s2: downloading a mirror image which is adapted to a preset domestic operating system version and packaging the mirror image into a first compressed file;
s3: downloading an anstable dependent python package;
s4: downloading a caliccoctl file;
s5: packaging the relevant dependent package into a second compressed file;
s6: providing a virtual machine or a physical machine;
s7: modifying kubespray related configuration files and packaging the modified kubespray related configuration files into a third compressed file;
s8: and executing an allowable-playlist command to install the cluster.
In this embodiment of the present application, the creating the deb packet adapted to the preset domestic os version in step S1 includes the steps of:
manufacturing an ipvssadm deb packet which is adaptive to a preset domestic operating system version;
manufacturing an ipset deb packet adapting to a preset domestic operating system version;
preparing an auss-tools deb package adapting to a preset domestic operating system version;
making an apt-transport-https deb packet adapting to a preset domestic operating system version;
making a software-properties-common db package adapted to a version of a preset domestic operating system;
and manufacturing a dock deb packet adapting to the version of the preset domestic operating system.
In this embodiment of the present application, the step S2 of downloading an image of a preset native operating system version and packaging the image into a first compressed file includes the steps of:
deploying a dock on a domestic platform;
downloading a kubernetes related mirror image by using a docker pull command;
and packaging the downloaded image into a first compressed file through a dock save command.
In the embodiment of the application, the kubernetes related mirror image includes:
gcr.azk8s.cn/google_containers/kube-scheduler:v1.15.1;
gcr.azk8s.cn/google_containers/kube-controller-manager:v1.15.1;
gcr.azk8s.cn/google_containers/kube-apiserver:v1.15.1;
gcr.azk8s.cn/google_containers/kube-proxy:v1.15.1;
gcr.azk8s.cn/google_containers/pause-arm64:3.1;
quay.azk8s.cn/coreos/etcd:v3.3.10-arm64;
dockerhub.azk8s.cn/calico/cni:v3.7.3;
dockerhub.azk8s.cn/calico/node:v3.7.3;
dockerhub.azk8s.cn/calico/kube-controllers:v3.7.3;
dockerhub.azk8s.cn/coredns/coredns:1.6.0;
dockerhub.azk8s.cn/library/nginx:1.15;
dockerhub.azk8s.cn/kontenapharos/nginx-ingress-controller:0.25.1;
gcr.azk8s.cn/google_containers/cluster-proportional-autoscaler-arm64:1.6.0;
dockerhub.azk8s.cn/jessestuart/tiller:v2.14.2;
dockerhub.azk8s.cn/kubernetesui/dashboard:v2.0.0-beta5;
danacr/dashboard-metrics-scraper-arm64:latest;
gcr.azk8s.cn/google-containers/metrics-server-arm64:v0.3.6。
in the embodiment of the present application, the downloading an anstable dependent python package in step S3 includes the steps of:
installing a pip packet manager on a domestic platform;
an anstable dependent python package is installed over pip.
In an embodiment of the present application, an anstable dependent python package includes:
ansible==2.7.8;
jinja2==2.10.1;
netaddr==0.7.19;
pbr==5.2.0;
hvac==0.8.2;
jmespath==0.9.4;
ruamel.yaml==0.15.96。
in this embodiment of the present application, the downloading the caliccoctl file in step S4 is: the calicoctl cni-plug-linux-arm 64-v0.8.1.Tgz etcd-v3.3.10-linux-arm64.Tar. Gz hyperkube-v1.15.1-arm64 kupackage-v 1.15.1-arm 64.
In the embodiment of the present application, the step S5 of packaging the relevant dependency package into the second compressed file includes the steps of:
writing shell scripts;
and packaging the written shell script, the deb package, the first compressed file, the python package and the calicoctl file into a second compressed file.
In the embodiment of the present application, the number of virtual machines or physical machines provided in step S6 may be selected according to actual needs.
In this embodiment, the modifying kubexplay related configuration file and packaging into the third compressed file in step S7 includes the steps of:
modifying a configuration file in kubyspay to adapt to rapid deployment of kubynes on a domestic platform in a network-free environment;
kubrexparay is packaged into a third compressed file.
In this embodiment of the present application, the performing an execute active-playlist command in step S8 for cluster installation includes the steps of:
selecting a preset number of physical machines or virtual machines as control nodes, and taking the rest physical machines or virtual machines as calculation nodes;
configuring hostname of the control node and the computing node to be unique;
configuring the control node so that ssh password-free login can be realized between the control node and the computing node;
copying the second compressed file to the control node and the computing node respectively;
copying the third compressed file to the control node;
executing the shell script;
decompressing the third compressed file to form a kubrexparay file, and configuring IP information of the virtual machine or the physical machine on the kubrexparay file;
and executing the cluster deployment command to complete the cluster deployment work.
In the embodiment of the application, the IP information of the virtual machine or the physical machine is configured on kubrexpra/inventory xgs/inventoryini file, and an onsdesk-playbook-i inventory xgs/inventoryi cluster.yaml-b-v-k command is executed to complete cluster deployment work.
According to the kubernetes cluster rapid deployment method on the domestic platform, a specific operating system on the domestic platform can be repeatedly installed and used, and as the deb package file, the mirror image file, the python dependent package file and the kubernetes binary file required for deploying the kubernetes cluster are installed on a machine to be deployed in advance, internet access is not needed in the whole process, and delay caused by file downloading failure and deployment failure are avoided; the deployment time is greatly shortened, and the whole process only needs about 5 to 10 minutes according to the scale of the cluster; in addition, the Internet is not required to be accessed, and departments with special requirements on network security can be provided with safe and reliable guarantee by deploying kubernetes clusters on the domestic platform; the deployment of the whole kubernetes cluster on the domestic platform can be completed by only copying 2 compressed files to the machine to be deployed and configuring one file and executing 2 scripts, the deployment is simple, convenient and quick, and the complexity of the deployment of the kubernetes on the domestic platform is greatly reduced.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explanation of the principles of the present invention and are in no way limiting of the invention. Accordingly, any modification, equivalent replacement, improvement, etc. made without departing from the spirit and scope of the present invention should be included in the scope of the present invention. Furthermore, the appended claims are intended to cover all such changes and modifications that fall within the scope and boundary of the appended claims, or equivalents of such scope and boundary.

Claims (5)

1. A kubernetes cluster rapid deployment method on a domestic platform is characterized by comprising the following steps:
making deb packet suitable for preset domestic operation system version, which includes
Manufacturing an ipvssadm deb packet which is adaptive to a preset domestic operating system version;
manufacturing an ipset deb packet adapting to a preset domestic operating system version;
preparing an auss-tools deb package adapting to a preset domestic operating system version;
making an apt-transport-https deb packet adapting to a preset domestic operating system version;
making a software-properties-common db package adapted to a version of a preset domestic operating system;
manufacturing a dock deb packet adapting to a preset domestic operating system version;
downloading a mirror image which is adapted to a preset domestic operating system version and packaging the mirror image into a first compressed file;
downloading an anstable dependent python package;
downloading a caliccoctl file;
packaging the relevant dependent package into a second compressed file;
providing a virtual machine or a physical machine;
modifying kubespray related configuration files and packaging the modified kubespray related configuration files into a third compressed file;
executing an stable-playbook command for cluster installation, including
Selecting a preset number of physical machines or virtual machines as control nodes, and taking the rest physical machines or virtual machines as calculation nodes;
configuring hostname of the control node and the computing node to be unique;
configuring the control node so that ssh password-free login can be realized between the control node and the computing node;
copying the second compressed file to the control node and the computing node respectively;
copying the third compressed file to the control node;
executing the shell script;
decompressing the third compressed file to form a kubrexparay file, and configuring IP information of the virtual machine or the physical machine on the kubrexparay file;
and executing the cluster deployment command to complete the cluster deployment work.
2. The method for rapidly deploying kubernetes clusters on a domestic platform according to claim 1, wherein the downloading and packaging the mirror image of the version of the preset domestic operating system into the first compressed file comprises the steps of:
deploying a dock on a domestic platform;
downloading a kubernetes related mirror image by using a docker pull command;
and packaging the downloaded image into a first compressed file through a dock save command.
3. The rapid deployment method of kubernetes clusters on a domestic platform of claim 1, wherein the downloading of an anstable dependent python package comprises the steps of:
installing a pip packet manager on a domestic platform;
an anstable dependent python package is installed over pip.
4. The method for rapid deployment of kubernetes clusters on a domestic platform of claim 1, wherein the packaging the relevant dependency packages into the second compressed file comprises the steps of:
writing shell scripts;
and packaging the written shell script, the deb package, the first compressed file, the python package and the calicoctl file into a second compressed file.
5. The rapid deployment method of kubrenetes clusters on a domestic platform of claim 1, wherein the modifying kubrexpra related configuration files and packaging into a third compressed file comprises the steps of:
modifying a configuration file in kubyspay to adapt to rapid deployment of kubynes on a domestic platform in a network-free environment;
kubrexparay is packaged into a third compressed file.
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Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112328361A (en) * 2020-11-02 2021-02-05 杭州当虹科技股份有限公司 Method for rapidly deploying kubenetes cluster
CN112711575A (en) * 2021-01-15 2021-04-27 山东云海国创云计算装备产业创新中心有限公司 Deployment method, system and related device of database cluster
CN112860373A (en) * 2021-01-29 2021-05-28 西藏宁算科技集团有限公司 Method and platform for building artificial intelligence distributed training platform
CN113572619B (en) * 2021-09-22 2021-12-07 银河麒麟软件(长沙)有限公司 Container cloud mirror image credible implementation method and system based on nottry
CN114265600A (en) * 2022-03-01 2022-04-01 联信弘方(北京)科技股份有限公司 Domestic hardware and operating system container cloud automatic off-line deployment method
CN114666212B (en) * 2022-03-25 2023-08-29 阿里云计算有限公司 Configuration data issuing method
CN114924833B (en) * 2022-05-06 2024-05-17 华东师范大学 User-noninductive micro-service container deployment method and deployment device thereof

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108694053A (en) * 2018-05-14 2018-10-23 平安科技(深圳)有限公司 Build the method and terminal device of Kubernetes host nodes automatically based on Ansible tools
CN109062655A (en) * 2018-06-05 2018-12-21 腾讯科技(深圳)有限公司 A kind of containerization cloud platform and server
CN109800055A (en) * 2018-12-27 2019-05-24 北京航天智造科技发展有限公司 Container dispatches method of combination and system
CN109800056A (en) * 2019-01-16 2019-05-24 杭州趣链科技有限公司 A kind of block chain dispositions method based on container
CN109885316A (en) * 2019-02-18 2019-06-14 国家计算机网络与信息安全管理中心 Hdfs-hbase dispositions method and device based on kubernetes
CN109947557A (en) * 2017-12-20 2019-06-28 慧与发展有限责任合伙企业 Distributed life cycle management for cloud platform
CN109976774A (en) * 2019-04-11 2019-07-05 北京启迪区块链科技发展有限公司 Block chain node deployment method, device, equipment and storage medium
CN110489204A (en) * 2019-07-01 2019-11-22 广东轩辕网络科技股份有限公司 A kind of big data platform architecture system based on container cluster
CN110704164A (en) * 2019-09-30 2020-01-17 珠海市新德汇信息技术有限公司 Cloud native application platform construction method based on Kubernetes technology
CN110830357A (en) * 2018-08-14 2020-02-21 丛林网络公司 Multi-cloud virtual computing environment provisioning using advanced topology description
CN110990026A (en) * 2019-10-10 2020-04-10 武汉烽火信息集成技术有限公司 Automatic deployment method and system for PaaS platform

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10705880B2 (en) * 2017-09-22 2020-07-07 Vmware, Inc. Cluster updating using temporary update-monitor pod

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109947557A (en) * 2017-12-20 2019-06-28 慧与发展有限责任合伙企业 Distributed life cycle management for cloud platform
CN108694053A (en) * 2018-05-14 2018-10-23 平安科技(深圳)有限公司 Build the method and terminal device of Kubernetes host nodes automatically based on Ansible tools
CN109062655A (en) * 2018-06-05 2018-12-21 腾讯科技(深圳)有限公司 A kind of containerization cloud platform and server
CN110830357A (en) * 2018-08-14 2020-02-21 丛林网络公司 Multi-cloud virtual computing environment provisioning using advanced topology description
CN109800055A (en) * 2018-12-27 2019-05-24 北京航天智造科技发展有限公司 Container dispatches method of combination and system
CN109800056A (en) * 2019-01-16 2019-05-24 杭州趣链科技有限公司 A kind of block chain dispositions method based on container
CN109885316A (en) * 2019-02-18 2019-06-14 国家计算机网络与信息安全管理中心 Hdfs-hbase dispositions method and device based on kubernetes
CN109976774A (en) * 2019-04-11 2019-07-05 北京启迪区块链科技发展有限公司 Block chain node deployment method, device, equipment and storage medium
CN110489204A (en) * 2019-07-01 2019-11-22 广东轩辕网络科技股份有限公司 A kind of big data platform architecture system based on container cluster
CN110704164A (en) * 2019-09-30 2020-01-17 珠海市新德汇信息技术有限公司 Cloud native application platform construction method based on Kubernetes technology
CN110990026A (en) * 2019-10-10 2020-04-10 武汉烽火信息集成技术有限公司 Automatic deployment method and system for PaaS platform

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
黄科.基于微服务的虚拟机自动化编排系统的设计与实现.2019,第1卷(第12期),全文. *

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