CN114253661A - Product structure based on container cloud computing platform - Google Patents
Product structure based on container cloud computing platform Download PDFInfo
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- CN114253661A CN114253661A CN202111308627.XA CN202111308627A CN114253661A CN 114253661 A CN114253661 A CN 114253661A CN 202111308627 A CN202111308627 A CN 202111308627A CN 114253661 A CN114253661 A CN 114253661A
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
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- G06F9/46—Multiprogramming arrangements
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- G06F9/45558—Hypervisor-specific management and integration aspects
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Abstract
The invention discloses a product structure based on a container cloud computing platform, which is matched with a continuous delivery platform and a micro service platform to jointly complete project management and continuous delivery of large-scale assembly type construction engineering, integrates the construction frame and function requirements of cloud computing ecosystems such as middleware, a tool library, a cloud development environment, a database, an algorithm model and the like, meets the functional requirement of synchronizing project sets, projects and project personnel with the continuous delivery platform, realizes the aim of installing the micro service frame and components with the micro service platform, also meets the management requirement of clusters when operating in different environments, and can effectively divide the resources of a single operating system into isolated groups by a container technology so as to better balance conflicting resource use requirements among the isolated groups and construct a perfect assembly type construction engineering management system, the management efficiency and the standard degree of the engineering management system are improved.
Description
Technical Field
The invention relates to the technical field of management systems, in particular to a product structure based on a container cloud computing platform.
Background
The prefabricated building is formed by assembling and installing building components and accessories on site in a reliable connection mode, mainly comprises a prefabricated concrete structure, a steel structure, a modern wood structure building and the like, and is a representative of a modern industrial production mode due to the adoption of standardized design, factory production, prefabricated construction, information management and intelligent application.
In large-scale assembly type construction engineering, the related components, accessories, technical data and construction information are complicated, so a management system needs to be constructed to manage the components and the accessories so as to meet engineering requirements.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the existing defects, and provide a product structure based on a container cloud computing platform, wherein the platform is matched with a continuous delivery platform and a micro-service platform to jointly complete project management and continuous delivery of large-scale assembly type construction engineering, the construction framework and the function requirements of cloud computing ecological systems such as middleware, a tool library, a cloud development environment, a database, an algorithm model and the like are integrated, a perfect assembly type construction engineering management system is constructed, the management efficiency and the standard degree of the engineering management system are improved, and the problems in the background technology can be effectively solved.
In order to achieve the purpose, the invention provides the following technical scheme: a product structure based on a container cloud computing platform comprises a platform function plate and a K8s function plate;
the platform function board comprises a tenant management module, a user management module, an application management module, a container management module, a mirror image management module, a CI/CD module, a log management module and a monitoring alarm module, wherein the tenant management module comprises cluster management, project management, network management, storage management, NS management and configuration management, the cluster management is deployed according to a standardized template, different cluster templates are used according to different environments and different levels, the cluster determines that a cluster in dev and test environments is a non-high-availability cluster and a cluster in flat and high-availability environments is a high-availability cluster as an upper-layer cluster which is a non-high-availability cluster and does not have service application, so part of components can be removed, and the K8s function board comprises a resource management module, a scheduling management module, a network management module and a monitoring alarm module, Load balancing module and flexible module.
As a preferred technical solution of the present invention, the application management module includes the following sub-modules: application templates, instance creation, application query, application deletion, application rollback, and grayscale publishing.
As a preferred technical solution of the present invention, the mirror management module includes the following sub-modules: storage monitoring, mirror image synchronization, security scanning and mirror image management.
As a preferred technical solution of the present invention, the monitoring alarm module includes the following sub-modules: alarm flow monitoring and basic resource monitoring.
As a preferred technical solution of the present invention, the log management module includes the following sub-modules: operation audits, log searches, containers, or application logs.
As a preferred technical solution of the present invention, the user management module includes the following sub-modules: role management, authentication management and single sign-on.
As a preferred technical solution of the present invention, the container management module includes the following sub-modules: remote login of the container, uploading of the container file and downloading of the container file.
As a preferred technical scheme of the invention, the CI/CD module comprises the following sub-modules: code management, code quality detection, code compiling and deploying and mirror image publishing.
Compared with the prior art, the invention has the beneficial effects that: the product structure based on the container cloud computing platform is matched with a continuous delivery platform and a micro service platform to jointly complete project management and continuous delivery of large-scale assembly type construction engineering, integrates the construction frame and function requirements of a cloud computing ecosystem such as a middleware, a tool library, a cloud development environment, a database, an algorithm model and the like, meets the functional requirements of synchronizing project sets, projects and project personnel with the continuous delivery platform in a butt joint manner, realizes the purpose of mounting micro service frames and components with the micro service platform in a butt joint manner, also meets the management requirements of clusters in different environment operation, and can effectively divide resources of a single operating system into isolated groups by using a container technology, therefore, conflicting resource use requirements are better balanced among isolated groups, a perfect assembly type building engineering management system is constructed, and the management efficiency and the standard degree of the engineering management system are improved.
Drawings
FIG. 1 is a schematic diagram of a cloud computing platform architecture;
FIG. 2 is a diagram of an upper level cluster deployment;
FIG. 3 is a diagram of a non-high availability cluster deployment;
fig. 4 is a diagram of a high availability cluster deployment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, the present invention provides a technical solution: a product structure based on a container cloud computing platform, wherein the container cloud platform manages development, testing, UAT and production environment by using a unified control platform, and is mainly responsible for the following work:
1. the system is in charge of synchronizing project sets, projects and project personnel with a continuous delivery platform;
2. the installation of the micro-service frame and the components is butted with the micro-service platform;
3. and the management of clusters in the runtime of different environments is taken charge.
Fig. 1 lists the functions of the platform, divided into two large panels: platform function, K8s function.
The platform functions include: tenant management, user management, application management, container management, mirror image management, CI/CD, log management and monitoring alarm;
the tenant management module comprises cluster management, project management, network management, storage management, NS management and configuration management;
the K8s functions include: resource management, scheduling management, network management, load balancing and elastic scaling.
The platform combines the functions of the platform and the functions of K8s, and makes up the functional defects of the platform K8 s.
The container technique can effectively divide the resources of a single operating system into isolated groups to better balance conflicting resource usage requirements among the isolated groups.
As shown in fig. 2, in consideration of cross-data center management, it is necessary to extract relevant platform parts to an upper layer of a data center, so as to facilitate management of multiple data centers.
The corresponding architecture flow is different according to different dimensions, and the overall flow from the console to the lower-layer cluster is different according to different production environments and different non-market conditions.
The upper layer cluster components are divided into the following categories:
the core components of Kuberttes' own are:
etcd: storing kubernets cluster data;
kube-apiserver: providing an API component in a kubernets cluster;
kube-conntrol-manager: maintaining the resource state to enable the resource state to reach an expected value;
kube-scheduler: scheduling the pod to the node;
kube-proxy: writing mapping about service and iptables on each node according to service endpoint data;
kubelet: creating a pod and a health check of the pod;
kube-dns: the method is responsible for dns resolution inside the cluster;
the Cluster plant from component is:
webapi: the rear end of the observation and cloud platform;
webpage: the front end of the observation and cloud platform;
api-mysql: data storage of the observing and holding platform;
api-redis: caching data of the holder;
the Log component of the Log collection display function is as follows:
ES: storing the log information;
the fluent collects log information and transmits the log information to Es;
a Monitor component for resource monitoring;
heapster: collecting resource use information, and writing the resource use information into infiluxdb;
influxdb: storing resource usage information;
oam-api: setting alarm information;
oam-task: monitoring alarm information at regular time;
the System functional components mainly providing the related functions of the cloud platform are as follows:
auto-scale: automatically expanding and shrinking the capacity;
bind 9: providing cloud service customized domain name resolution;
jenkins: a cic pipeline;
sonar, Sonar-postgresql: managing the quality of the codes;
carrying out load balancing on the kube-apiserver under the condition of high available cluster by Haproxy + keepalive;
qos: limiting the uplink and downlink of the pod network flow;
nfs-controller: controlling the nfs directory to create subdirectories;
node-up-down: the possibility of node online and offline.
Through analysis of each component, it can be found that some components of the cluster are possible to be pulled away to an upper-layer cluster, but considering that the upper-layer cluster is more and more accessed to the cluster in the future, nodes covered by log collection and resource information are more and more, and the burden on storage and a network is more and more, so the environmental cluster respectively keeps log and resource information collection and storage.
As shown in fig. 3 and 4, cluster management is deployed according to standardized templates, the templates may use different cluster templates according to different environments and different levels, and the clusters determine that clusters in dev and test environments are non-high-availability clusters and clusters in uat and prd environments are high-availability clusters according to different environments, as upper-layer clusters which are non-high-availability clusters and have no service application, so that part of components may be removed;
the non-highly available clusters shown in FIG. 3 are single-point masters, and the cluster components all operate in a single-point fashion;
the high-availability cluster shown in fig. 4 is mainly embodied in a plurality of master nodes and kubernets core components, and as the etcd cluster needs at least three etcds in order to ensure high availability, the high-availability cluster master node needs at least three Kube-apicervers to be highly available, load balancing is provided through haproxy and keepalived, and each apicerver runs and provides services at the same time.
Etcd is highly available: the etcd uses a self cluster form to provide high availability guarantee, and when the etcd has only two nodes, the leader authority fails, so that the etcd is recommended to be at least three nodes.
Kube-controller-manager, Kube-scheduler, highly available: the leader algorithm provided by kubernets itself, each component running simultaneously but only one component providing service.
Kube-dns is highly available: using service load balancing of the cluster itself, kube-dns creates multiple instances.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A product structure based on a container cloud computing platform is characterized in that: comprises a platform function plate and a K8s function plate;
the platform function board comprises a tenant management module, a user management module, an application management module, a container management module, a mirror image management module, a CI/CD module, a log management module and a monitoring alarm module;
the tenant management module comprises cluster management, project management, network management, storage management, NS management and configuration management;
the cluster management is deployed according to a standardized template, the template can use different cluster templates according to different environments and different levels, the cluster determines that a cluster in dev and test environments is a non-high-availability cluster and a cluster in flat and prd environments is a high-availability cluster according to different environments and serves as an upper-layer cluster which is a non-high-availability cluster, and the upper-layer cluster has no service application, so that part of components can be removed;
the K8s function board comprises a resource management module, a scheduling management module, a network management module, a load balancing module and an elastic expansion module.
2. The container cloud computing platform-based product structure of claim 1, wherein: the application management module comprises the following sub-modules: application templates, instance creation, application query, application deletion, application rollback, and grayscale publishing.
3. The container cloud computing platform-based product structure of claim 1, wherein: the mirror image management module comprises the following sub-modules: storage monitoring, mirror image synchronization, security scanning and mirror image management.
4. The container cloud computing platform-based product structure of claim 1, wherein: the monitoring alarm module comprises the following sub-modules: alarm flow monitoring and basic resource monitoring.
5. The container cloud computing platform-based product structure of claim 1, wherein: the log management module comprises the following sub-modules: operation audits, log searches, containers, or application logs.
6. The container cloud computing platform-based product structure of claim 1, wherein: the user management module comprises the following sub-modules: role management, authentication management and single sign-on.
7. The container cloud computing platform-based product structure of claim 1, wherein: the container management module comprises the following sub-modules: remote login of the container, uploading of the container file and downloading of the container file.
8. The container cloud computing platform-based product structure of claim 1, wherein: the CI/CD module comprises the following sub-modules: code management, code quality detection, code compiling and deploying and mirror image publishing.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI795262B (en) * | 2022-04-06 | 2023-03-01 | 中華電信股份有限公司 | System for deploying high availability service, method and computer readable medium thereof |
CN115941686A (en) * | 2022-11-15 | 2023-04-07 | 浪潮云信息技术股份公司 | Method and system for realizing high-availability service of cloud native application |
CN117519989A (en) * | 2024-01-03 | 2024-02-06 | 上海燧原智能科技有限公司 | Distributed system hosting method and device, electronic equipment and storage medium |
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2021
- 2021-11-05 CN CN202111308627.XA patent/CN114253661A/en not_active Withdrawn
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI795262B (en) * | 2022-04-06 | 2023-03-01 | 中華電信股份有限公司 | System for deploying high availability service, method and computer readable medium thereof |
CN115941686A (en) * | 2022-11-15 | 2023-04-07 | 浪潮云信息技术股份公司 | Method and system for realizing high-availability service of cloud native application |
CN117519989A (en) * | 2024-01-03 | 2024-02-06 | 上海燧原智能科技有限公司 | Distributed system hosting method and device, electronic equipment and storage medium |
CN117519989B (en) * | 2024-01-03 | 2024-04-02 | 上海燧原智能科技有限公司 | Distributed system hosting method and device, electronic equipment and storage medium |
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