CN110704164A - Cloud native application platform construction method based on Kubernetes technology - Google Patents
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Abstract
The invention discloses a cloud native application platform construction method based on a Kubernetes technology, which comprises the following specific steps of: A. defining and managing host, storage and network system resources; B. creating a Kubernetes cluster for deploying containerized application services; C. creating application services and a service directory, constructing an application program into a micro service and running on a containerization and dynamic arrangement platform; D. optimizing a platform service architecture; E. and configuring a monitoring and log acquisition system for automatic operation and maintenance and data analysis. The invention can realize unified technical capability reuse by only utilizing the existing open source technology to carry out sequential combination and encapsulation through steps and then carrying out online, configuration and arrangement on internal application software according to the steps, thereby improving the functional stability and high availability of the whole delivery software and reducing the research and development cost and the resource management cost.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to a cloud native application platform construction method based on a Kubernetes technology, which is used for construction of an IT system architecture and an enterprise general software platform.
Background
With the continuous development of the technology in the software industry and the continuous maturation of the cloud computing technology, the micro-service technology, the container clustering technology, the automatic deployment technology and the agile development concept are developed and fall to the ground gradually, and the containers and Kubernets become cornerstones of cloud native application. Among them, the cloud native application refers to a software application developed specifically to run in a cloud computing environment.
More and more enterprises choose to try to use advanced application delivery concepts and industry advanced technologies of new internet waves so that the enterprises can quickly respond to market demands in the rapidly developing industry waves.
Enterprises generally adopt two ways to realize rapid delivery of internal applications: independently developing and purchasing mature products.
(1) The autonomous research and development platform mode needs to prepare a human resource team with cloud knowledge, and is generally built from an IaaS layer and built step by step through a PaaS layer. The defects of long research and development period, large technical difficulty and high labor cost exist, and higher technical risk needs to be borne for trial and error.
(2) The existing mature products are purchased, which are not enough to meet the individual requirements of different enterprises for application construction, and need to be transformed and put into use. Although the purchasing mode shortens the development period and can be put into use quickly, the extensibility of the platform and the individual requirements of different enterprises cannot be met in the later period, with the increase of reusable technologies and reusable application capabilities in the enterprises, the mature products meeting the requirements are fewer and fewer, the mature products need to be paid and upgraded continuously, medium and small enterprises need to bear expensive economic pressure continuously, and the purchasing mode is not suitable for the development requirement.
For developing small and medium-sized enterprises, in order to maintain competitiveness, the technical capability of the enterprises needs to be continuously precipitated, and capability reuse of internal excellent technical cases is realized. There is a need for efficient, high quality delivery of customer projects while technology is being reused. The value of the enterprise in the IT market is continuously kept, the technical deposit in the enterprise is continuously promoted, and the long-term development strategy from the technical level is realized. The problems of long development mode cycle, inflexible application on-line deployment/expansion, non-uniform technical architecture and difficult basic resource pooling in internal application delivery of small and medium-sized enterprises exist. In addition, the above two ways of independent research and development and rapid delivery of purchased mature products cannot guarantee the development requirements of medium and small enterprises.
Disclosure of Invention
The invention provides a cloud native application platform construction method based on a Kubernetes technology, and aims to solve the problems that an existing independently-developed rapid delivery mode is long in research and development period, high in technical difficulty, high in labor cost, high in technical risk and capable of being borne for trial and error, the ductility of a platform and the personalized requirements of different enterprises cannot be met in the later period of purchasing an existing mature product mode, and development mode periods, application online deployment/expansion inflexibility, non-uniform technical frameworks and difficult basic resource pooling existing in internal application delivery of small and medium-sized enterprises are long, unified technical capability reuse can be realized only by adopting simple operation steps, so that the functional stability and high availability of overall delivery software are improved, and research and development cost and resource management cost are reduced.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows.
A cloud native application platform construction method based on a Kubernetes technology comprises the following specific steps:
A. defining and managing host, storage and network system resources for constructing an elastic computing platform;
B. creating a Kubernetes cluster for deploying containerized application services;
C. creating application services and a service directory, constructing an application program into micro-services, running on a containerization and dynamic arrangement platform, and realizing flexible arrangement on the application services;
D. optimizing a platform service architecture;
E. configuring a monitoring and log acquisition system for automatic operation and maintenance and data analysis;
and sequentially establishing monitoring functions including a plurality of layers, and uniformly collecting and displaying standardized production logs.
Further optimizing the technical scheme, wherein in the step A, defining and managing system resources comprises the following specific steps:
A1. network, storage, physical machines and virtual machine resources on a cloud service system which is constructed and delivered according to needs by different types of selected equipment, virtualization technologies and cloud providers are arranged into a list, and a basic enabling platform is imported to carry out tagged grouping admission management and dynamic scheduling;
A2. accurately and comprehensively displaying the performance index of the server, the version of the operating system and the basic information of the ip address on a visual interface;
A3. providing operation options and real-time feedback for resource state control on a visual interface;
A4. if the host resource is no longer used, the host resource is removed after the service deployed on the host resource is removed, or the host resource is imported again after being deleted.
In step a1, the host resource is managed by specifying ip and port authentication information.
Further optimizing the technical scheme, wherein the step B comprises the following specific steps:
B1. introducing a self-developed middle management layer based on Kubernets management API, shielding bottom-layer details, and using the bottom-layer details as a bridge between user operation and Kubernets management operation;
B2. host resources managed in the step A1 are designated, and one or more sets of Kubernetes clusters are automatically and rapidly deployed in a mode of distributing tasks to nodes through an alarm Playbook;
B3. observing the execution condition of the automatic script on a visual interface; if the execution fails, deleting the task and issuing again;
B4. operating the successfully deployed core container clusters and the core container cluster components on a visual interface, and performing real-time management on a plurality of clusters;
B5. and for the scene that a plurality of users use the cluster resource simultaneously, the access right management and resource isolation functions are provided, the users cannot override other cluster resources except the cluster resource, and otherwise, an error prompt is returned.
Further optimizing the technical scheme, wherein the step C comprises the following specific steps:
C1. according to an application deployment mode, dividing application services needing to be processed into containerized applications and native deployment applications, wherein the containerized applications are processed by Docker and Kubernets, and the native deployment applications are processed by Ansible; and preparing a construction and deployment script in advance to realize automatic management;
C2. according to respective business characteristics, the service application is designed into loosely coupled micro-service;
C3. constructing a platform capable of providing management and scheduling entries including unified life cycle, network and storage aspects;
C4. abstracting an application to be deployed into an automatic editing script and a service parameter configuration item, configuring the application to be deployed into a general application service, storing the general application service in a database, realizing service versioning management and directly calling the general application service by a platform;
C5. services are added to a service directory for a plurality of tenants to apply for deployment, and the tenants do not need to strictly distinguish operation details of native applications and containerized applications in a deployment link;
C6. designing a service application process, namely configuring independent or shared platform resources, service application and approval processes on a plurality of levels of organizations or projects;
C7. the tenant creates a service application form, and enters a service approval process after filling parameters and requirements;
C8. integrating a cloud native tool chain with a large number of third-party tools to accelerate development of test resources and environment delivery;
C9. for the scene that the application service is commonly used by multiple tenants, the platform on the application has the multi-tenant management capability;
C10. information aggregation is carried out according to the use condition of the tenant on the cloud computing resource so as to provide an analysis function; the data analysis comes from the management of application services.
In the step C7, if the application content needs to be modified and resubmitted after being rejected, the service is directly created if the application content is successfully submitted, and the service can be used according to the output item prompt on the application form.
Further optimizing the technical scheme, in the step C10, the analysis function includes cost analysis, metering analysis, expenditure prediction, and cost optimization.
Further optimizing the technical scheme, wherein the step D comprises the following specific steps:
the Web layer realizes high availability and load balancing cluster deployment by using HAproxy and Nginx;
D2. the database and the message middleware layer are deployed through double activity or high availability;
D3. failover and recovery occur automatically.
Further optimizing the technical scheme, wherein the step E comprises the following specific steps:
E1. constructing system layer monitoring;
E2. constructing middleware layer monitoring;
E3. constructing application layer monitoring;
E4. unifying log formats, namely structuring and formatting data, and acquiring a unified monitoring platform for logs of different layers by using a scheme of elastic search, Logstash, Kibana or Flume, Kafka and HDFS/HBase;
E5. for step E4, providing a uniform log analysis view for the data collected on the monitoring platform, and performing abnormal alarm;
in the step E1, the system layer comprises a host and a bottom layer resource;
in step E2, the middleware layer includes a gateway, a Web container, a cache, a message queue, and a database middleware.
In step E3, the application layer monitoring includes monitoring the HTTP request throughput, the HTTP request response time, the HTTP request return code, the Web service performance, the database access bottleneck, the analysis of the call link, and the monitoring of the user side.
Due to the adoption of the technical scheme, the technical progress of the invention is as follows.
The invention relates to a cloud native application platform construction method based on a Kubernetes technology for medium and small enterprises, which can realize unified technical capability reuse by only utilizing the existing open source technology to carry out sequential combination and packaging through steps and then carrying out online, configuration and arrangement on internal application software according to the steps, thereby improving the functional stability and high availability of the whole delivery software and reducing the research and development cost and the resource management cost.
The invention constructs a basic enabling platform developed for Kubernets container cluster management function, can rapidly deploy and manage containers by using simplified operation of the process, meets IT requirements, and provides sufficient technical support for DevOps teams in various environments. The invention lowers the operation threshold of migrating the service application to the containerization environment, and helps the operation and maintenance personnel to quickly master corresponding technical knowledge and know the relevant details of the container tool.
The application of the method can enable the system to have good expansibility and stability, can reduce the workload of independently researching and developing the internal cloud native application platform, reduces the research cost of constructing the cloud native application by enterprises, and improves the research and development work efficiency. The method achieves the aim of quickly constructing the deliverable software platform with high quality.
The invention helps enterprises to quickly respond to market environment changes and develop new services. The concrete points are as follows:
(1) component second-level deployment: the second-level deployment of the stateless component can be realized by adopting a Kubernetes-based container cluster management technology and a docker container technology.
(2) The technical multiplexing is high: after the platform realizes the native construction of the cloud, the stable technical capacity in the enterprise is shared in the enterprise in a service directory form, and can be directly applied by each technical department in the enterprise or subjected to secondary research and development to generate technical reuse.
(3) Can be expanded elastically: after the cloud native application is constructed, dynamic expansion and contraction can be performed according to a service scene based on the virtual resource pool and the cloud computing capacity, and dynamic allocation of application examples and basic resources is achieved.
(4) Independent and decoupled: the platform adopts a micro-service architecture to build cloud native application and an application combination platform, a lightweight protocol is adopted to carry out mutual communication among services, each service is independently deployed and decoupled, fault transfer of each module in the platform can be facilitated, and high availability of a delivery platform is guaranteed.
(5) The failure time is short: the platform supports multi-instance, dual-active or high-availability deployment of cloud native applications, enabling smooth failover when a failure occurs.
(6) The combined delivery is quick: the cloud native application platform constructed by the invention can be used by enterprises, and each application component after being on-line can be flexibly combined and delivered through service arrangement, so that the aims of efficient deployment and rapid delivery are fulfilled.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a flow chart of the monitoring and log collection system of the present invention;
fig. 3 is a block diagram of the overall structure of the present invention.
Detailed Description
The invention will be described in further detail below with reference to the figures and specific examples.
A cloud native application platform based on the Kubernetes technology, which is shown in fig. 3, includes an environment building subsystem, a service operation subsystem, and a monitoring and logging subsystem.
The environment construction subsystem comprises a cluster environment construction module, a heterogeneous resource management module, a resource task scheduling module and a resource automatic deployment module. The service construction subsystem comprises a micro-service architecture, a service arrangement module, a continuous integration module and a code construction module. The service operation subsystem comprises a service directory module, a service application module and an operation analysis module.
A cloud native application platform construction method based on a Kubernetes technology is combined with the method shown in figures 1 to 2, and comprises the following specific steps:
A. and defining and managing host computer, storage and network system resources. The method aims to improve the IT working efficiency and the resource utilization rate of enterprises to the maximum extent, construct an elastic computing platform and guarantee the availability of a business system.
B. A Kubernetes cluster is created for deploying containerized application services.
The Docker container is a key component in cloud operation, the lightweight nature and the powerful resource management characteristic of the container can pack a cloud native application into an executable object following the convention of a cloud platform, so that the speed and the resource efficiency are increased, and the possibility that the cloud operation in a production environment cannot normally operate is reduced to the maximum extent. Kubernets is the most popular container arrangement standard and tool at present, and has become a standard infrastructure provided by various cloud computing and virtualization vendors.
In order to reduce the operation threshold of migrating business application to containerization environment, help operation and maintenance personnel to quickly master corresponding technical knowledge and know the relevant details of container tools, the invention constructs a basic enabling platform developed for Kubernets container cluster management function, can quickly deploy and manage containers by using simplified operation, meets IT requirements, and provides sufficient technical support for DevOps teams in various environments.
C. And creating application services and a service directory, constructing an application program into micro-services, running on a containerization and dynamic arrangement platform, and realizing flexible arrangement on the application services. The advantages of the cloud computing model are fully utilized, only how to create and deploy the application is concerned, and not where to run the application, so that the extensible application program can be rapidly built, released and run in the dynamic environment.
D. And optimizing the platform service architecture. After the application service is deployed, in order to ensure that the application service continuously and reliably supports the service, the management platform is required to have full-cluster, multi-redundancy and capability of flexibly supporting the transverse expansion in design. Both itself and the back end support assembly have high availability characteristics.
E. And configuring a monitoring and log acquisition system for automatic operation and maintenance and data analysis. In the aspects of service monitoring and log acquisition, monitoring functions including multiple layers are required to be established in sequence, standardized production logs are acquired and displayed in a unified mode, and continuous and reliable data support is provided for business analysis. The multiple layers include a system layer, a middleware layer, and an application layer.
In the step A, the step of defining and managing system resources comprises the following specific steps:
A1. and organizing network, storage, physical machines and virtual machine resources on the cloud service system constructed by different types of selected equipment and virtualization technologies and delivered on demand by a cloud provider into a list, and importing a basic enabling platform for labeled grouping admission management and dynamic scheduling.
The physical machine includes a public cloud or a private cloud. The public cloud provides cloud virtual resources for on-demand operation in a physical server cluster shared by a plurality of users. A private cloud is much like a public cloud, but has a key difference that the underlying physical hardware is dealing with a single customer, i.e., the single customer shares the entire private cloud platform resources alone.
In this step, taking host management as an example, host resources are managed by specifying ip and port authentication information. The authentication information is information of a password or a key. Namely, the verification information is saved in the database for the platform to call.
If a cloud environment is deployed by a cloud computing service provider, an administrator account can authorize to obtain a key ID, an access API is called to obtain host information, and the host information is stored in a platform database. This step applies to storage, physical machine or virtual machine resources.
A2. And accurately and comprehensively displaying the performance index, the operating system version and other address basic information of the server on a visual interface. The performance indexes of the server comprise indexes such as a CPU, a memory, a disk and the like. Other address basic information includes information such as an ip address.
A3. And providing operation options and real-time feedback for the resource state control on the visual interface. The resource state controls the states of startup/shutdown/suspend/Web SSH, etc.
A4. If the host resource is no longer used, the host resource is removed after the service deployed on the host resource is removed, or the host resource is imported again after being deleted.
In the step B, the Kubernets cluster building method comprises the following specific steps:
B1. and introducing a self-developed intermediate management layer based on a Kubernets management API, and shielding bottom-layer details to serve as a bridge between user operation and Kubernets management operation.
B2. And B, specifying the managed host resources in the step A1, and automatically and quickly deploying one or more sets of Kubernetes clusters in a mode of distributing tasks to the nodes by using the Ansible Playbook.
B3. Observing the execution condition of the automatic script on a visual interface, namely the Kubernetes cluster deployment progress; if the execution fails, the task is deleted and is delivered again.
B4. And operating the successfully deployed core container cluster and the core container cluster component on a visual interface, and performing real-time management on a plurality of clusters. E.g., adding or deleting nodes, importing other clusters, etc.
B5. And for the scene that a plurality of users use the cluster resource simultaneously, the access right management and resource isolation functions are provided, the users cannot override other cluster resources except the cluster resource, and otherwise, an error prompt is returned.
Because the realized operation interface is simple and visual enough, the Kubernetese API operation details are shielded, so that a user can use the Kubernetese API without deep enough knowledge, and the use threshold of a developer is greatly reduced.
The step C comprises the following specific steps:
C1. according to an application deployment mode, dividing application services needing to be processed into containerized applications and native deployment applications, wherein the containerized applications are processed by Docker and Kubernets (Dockerfile and yaml file arrangement), and the native deployment applications are processed by Angle (Playbook); and prepares build and deploy scripts in advance to enable automated management.
C2. The service applications are designed as loosely coupled microservices according to their respective business characteristics. Run in a separate process and communicate using a lightweight protocol such as HTTP or RPC. These services may be heterogeneous services developed by different high-level languages or frameworks, platform independent, so that developers can choose the best technology stack according to a particular business.
C3. A platform capable of providing management and scheduling entries including unified life cycle, network and storage aspects is constructed. The management and scheduling entry has the functions of high availability, load balancing, elastic expansion and the like.
C4. Abstracting the application to be deployed into an automatic editing script and a service parameter configuration item, configuring the application to be general application service, storing the application to a database, realizing service versioning management, and directly calling the application by a platform.
C5. The service is added to the service directory for a plurality of tenants to apply for deployment, and the tenants do not need to strictly distinguish the operation details of the native application and the containerized application in a deployment link.
C6. Designing a service application process, namely configuring independent or shared platform resources, service application and approval processes on a plurality of levels of organizations or projects.
C7. The tenant creates a service request form, and enters a service approval process after filling parameters and requirements. If the rejected application needs to modify the application content and then resubmit the application content, if the rejected application is successful, the service can be directly created, and the service can be used on the application form according to the prompt of the output item.
C8. A cloud native tool chain is integrated with a large number of third-party tools, and development of test resources and environment delivery are accelerated.
C9. For the scenario that the application service is commonly used by multiple tenants, the platform on top of the application has the capacity of multi-tenant management, namely environment resource isolation and sharing.
C10. Information aggregation is carried out according to the use condition of the tenant on the cloud computing resource so as to provide an analysis function; data analysis comes from the management of application services to provide sufficient support for platform operation decisions. The analysis function comprises expense analysis, metering analysis, expenditure prediction and cost optimization.
The step D comprises the following specific steps:
and D1, realizing high availability and load balancing cluster deployment by using the HAproxy and the Nginx in the Web layer, and ensuring the overall performance.
D2. The database and the message middleware layer ensure that data is not lost through dual-active or high-availability deployment.
D3. And various deployment architectures are supported, namely the platform assembly is suitable for host deployment, container deployment and combination thereof and can be combined and adjusted according to business requirements.
D4. The platform component supports middleware to support various options, for example, Kafka, RabbitMQ, RocktMQ and the like can be adopted for message service, PostgreSQL or MySQL and the like can be adopted for a configuration database, and the risk of environmental conflict can be avoided.
D5. Automatically occurring failover and recovery: the platform key component adopts a ZooKeeper heartbeat mechanism to realize survival state monitoring. The component service instance is mounted as a ZooKeeper sequential node, and when the service instance is connected overtime and the client session fails due to a fault, the service instance is replaced by a subsequent node to continue providing service. And when the service instance is recovered to be normal, the service instance is reinstalled to the ZooKeeper, and the node can be replaced at any time to provide service.
The method supports various deployment architectures, various middleware selections and automatic fault transfer and recovery, ensures that single-point faults can be avoided, can continuously and stably support the service, and can also be quickly and conveniently expanded along with the increase of the service.
The step E comprises the following specific steps:
E1. and constructing system layer monitoring. The system layer comprises a host and underlying resources, such as a CPU, a memory, network throughput, hard disk I/O, hard disk utilization, and the like.
E2. And constructing middleware layer monitoring. The middleware layer comprises gateways, Web containers, caches, message queues and database middleware, such as: nginx, Redis, Kafka, MySQL, Tomcat, etc.
E3. And constructing application layer monitoring. And constructing application layer monitoring, including monitoring of HTTP request throughput, HTTP request response time, HTTP request return codes, Web service performance, database access bottleneck, analysis of call link and user side.
E4. And unifying log formats, namely structuring and formatting the data, and acquiring a unified monitoring platform for logs of different layers by using a scheme of elastic search + Logstash + Kibana or Flume + Kafka + HDFS/HBase.
E5. For step E4, the data collected on the monitoring platform provides a unified log analysis view, and an abnormal alarm is given.
The application of the method can enable the system to have good expansibility and stability, can reduce the workload of independently researching and developing the internal cloud native application platform, reduces the research cost of constructing the cloud native application by enterprises, and improves the research and development work efficiency. The method achieves the aim of quickly constructing the deliverable software platform with high quality.
The invention helps enterprises to quickly respond to market environment changes and develop new services. The concrete points are as follows:
(1) component second-level deployment: the second-level deployment of the stateless component can be realized by adopting a Kubernetes-based container cluster management technology and a docker container technology.
(2) The technical multiplexing is high: after the platform realizes the native construction of the cloud, the stable technical capacity in the enterprise is shared in the enterprise in a service directory form, and can be directly applied by each technical department in the enterprise or subjected to secondary research and development to generate technical reuse.
(3) Can be expanded elastically: after the cloud native application is constructed, dynamic expansion and contraction can be performed according to a service scene based on the virtual resource pool and the cloud computing capacity, and dynamic allocation of application examples and basic resources is achieved.
(4) Independent and decoupled: the platform adopts a micro-service architecture to build cloud native application and an application combination platform, a lightweight protocol is adopted to carry out mutual communication among services, each service is independently deployed and decoupled, fault transfer of each module in the platform can be facilitated, and high availability of a delivery platform is guaranteed.
(5) The failure time is short: the platform supports multi-instance, dual-active or high-availability deployment of cloud native applications, enabling smooth failover when a failure occurs.
(6) The combined delivery is quick: the cloud native application platform constructed by the invention can be used by enterprises, and each application component after being on-line can be flexibly combined and delivered through service arrangement, so that the aims of efficient deployment and rapid delivery are fulfilled.
Claims (10)
1. A cloud native application platform construction method based on a Kubernetes technology is characterized by comprising the following specific steps:
A. defining and managing host, storage and network system resources for constructing an elastic computing platform;
B. creating a Kubernetes cluster for deploying containerized application services;
C. creating application services and a service directory, constructing an application program into micro-services, running on a containerization and dynamic arrangement platform, and realizing flexible arrangement on the application services;
D. optimizing a platform service architecture;
E. configuring a monitoring and log acquisition system for automatic operation and maintenance and data analysis;
and sequentially establishing monitoring functions including a plurality of layers, and uniformly collecting and displaying standardized production logs.
2. The method for constructing a cloud native application platform based on the Kubernetes technology according to claim 1, wherein in the step A, the step of defining and managing system resources comprises the following specific steps:
A1. network, storage, physical machines and virtual machine resources on a cloud service system which is constructed and delivered according to needs by different types of selected equipment, virtualization technologies and cloud providers are arranged into a list, and a basic enabling platform is imported to carry out tagged grouping admission management and dynamic scheduling;
A2. accurately and comprehensively displaying the performance index of the server, the version of the operating system and the basic information of the ip address on a visual interface;
A3. providing operation options and real-time feedback for resource state control on a visual interface;
A4. if the host resource is no longer used, the host resource is removed after the service deployed on the host resource is removed, or the host resource is imported again after being deleted.
3. The method for constructing a cloud native application platform based on Kubernetes technology as claimed in claim 2, wherein in step a1, host resources are managed by specifying ip and port authentication information.
4. The cloud native application platform construction method based on the Kubernetes technology as claimed in claim 2, wherein the step B comprises the following specific steps:
B1. introducing a self-developed middle management layer based on Kubernets management API, shielding bottom-layer details, and using the bottom-layer details as a bridge between user operation and Kubernets management operation;
B2. host resources managed in the step A1 are designated, and one or more sets of Kubernetes clusters are automatically and rapidly deployed in a mode of distributing tasks to nodes through an alarm Playbook;
B3. observing the execution condition of the automatic script on a visual interface; if the execution fails, deleting the task and issuing again;
B4. operating the successfully deployed core container clusters and the core container cluster components on a visual interface, and performing real-time management on a plurality of clusters;
B5. and for the scene that a plurality of users use the cluster resource simultaneously, the access right management and resource isolation functions are provided, the users cannot override other cluster resources except the cluster resource, and otherwise, an error prompt is returned.
5. The method for constructing the cloud native application platform based on the Kubernetes technology according to claim 1, wherein the step C comprises the following specific steps:
C1. according to an application deployment mode, dividing application services needing to be processed into containerized applications and native deployment applications, wherein the containerized applications are processed by Docker and Kubernets, and the native deployment applications are processed by Ansible; and preparing a construction and deployment script in advance to realize automatic management;
C2. according to respective business characteristics, the service application is designed into loosely coupled micro-service;
C3. constructing a platform capable of providing management and scheduling entries including unified life cycle, network and storage aspects;
C4. abstracting an application to be deployed into an automatic editing script and a service parameter configuration item, configuring the application to be deployed into a general application service, storing the general application service in a database, realizing service versioning management and directly calling the general application service by a platform;
C5. services are added to a service directory for a plurality of tenants to apply for deployment, and the tenants do not need to strictly distinguish operation details of native applications and containerized applications in a deployment link;
C6. designing a service application process, namely configuring independent or shared platform resources, service application and approval processes on a plurality of levels of organizations or projects;
C7. the tenant creates a service application form, and enters a service approval process after filling parameters and requirements;
C8. integrating a cloud native tool chain with a large number of third-party tools to accelerate development of test resources and environment delivery;
C9. for the scene that the application service is commonly used by multiple tenants, the platform on the application has the multi-tenant management capability;
C10. information aggregation is carried out according to the use condition of the tenant on the cloud computing resource so as to provide an analysis function; the data analysis comes from the management of application services.
6. The method for constructing a cloud native application platform based on the Kubernetes technology as claimed in claim 5, wherein in the step C7, if the application content needs to be modified and then resubmitted after being rejected, the service is directly created if the application content succeeds, and the service can be used according to an output item prompt on an application form.
7. The method for constructing a cloud native application platform according to claim 5, wherein in the step C10, the analysis functions include cost analysis, metering analysis, expenditure prediction and cost optimization.
8. The cloud native application platform construction method based on the Kubernetes technology as claimed in claim 1, wherein the step D comprises the following specific steps:
the Web layer realizes high availability and load balancing cluster deployment by using HAproxy and Nginx;
D2. the database and the message middleware layer are deployed through double activity or high availability;
D3. failover and recovery occur automatically.
9. The method for constructing the cloud native application platform based on the Kubernetes technology according to claim 1, wherein the step E comprises the following specific steps:
E1. constructing system layer monitoring;
E2. constructing middleware layer monitoring;
E3. constructing application layer monitoring;
E4. unifying log formats, namely structuring and formatting data, and acquiring a unified monitoring platform for logs of different layers by using a scheme of elastic search, Logstash, Kibana or Flume, Kafka and HDFS/HBase;
E5. for step E4, providing a uniform log analysis view for the data collected on the monitoring platform, and performing abnormal alarm;
in the step E1, the system layer comprises a host and a bottom layer resource;
in step E2, the middleware layer includes a gateway, a Web container, a cache, a message queue, and a database middleware.
10. The method for constructing a cloud native application platform based on Kubernetes technology as claimed in claim 9, wherein in step E3, the constructed application layer monitoring includes monitoring of HTTP request throughput, HTTP request response time, HTTP request return code, Web service performance, database access bottleneck, analysis of call link, and monitoring of user side.
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