CN113596190B - Application distributed multi-activity system and method based on Kubernetes - Google Patents
Application distributed multi-activity system and method based on Kubernetes Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L61/00—Network arrangements, protocols or services for addressing or naming
- H04L61/45—Network directories; Name-to-address mapping
- H04L61/4505—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols
- H04L61/4511—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols using domain name system [DNS]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
- H04L41/0659—Management of faults, events, alarms or notifications using network fault recovery by isolating or reconfiguring faulty entities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5041—Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
Abstract
The invention discloses an application distributed multi-activity system and method based on Kubernetes, which belong to the field of cloud computing, and solve the technical problem of how to uniformly manage and schedule container resources of application services, and make up the limitation of single Kubernetes cluster on the reliability support of cloud native application services, wherein the technical scheme is as follows: the system comprises a cluster manager, a configuration manager, a scheduler and a domain name resolver; the cluster manager is used for uniformly managing a plurality of different areas and different types of clusters; the configuration manager is used for processing various Kubernetes resource objects; the scheduler is used for applying the scheduling distribution in the cluster; domain name resolvers are used for application service discovery between various clusters. The method comprises the steps of synchronously distributing and dispatching application services to the Kubernetes clusters, uniformly exposing the application services of the plurality of Kubernetes clusters through a server of an automatic configuration DNS server, automatically carrying out health examination on the application of the plurality of Kubernetes clusters, and timely kicking out fault application from the server of the DNS server to realize automatic flow cutting of the fault application.
Description
Technical Field
The invention relates to the field of Kubernetes application management in cloud computing technology, in particular to an application distributed multi-activity system and method based on the Kubernetes.
Background
As technologies in the container and cloud computing fields are continuously mature, more and more traditional applications start to cloud, and Kubernetes become the fact standard for cloud native application arrangement, application services are deployed on Kubernetes, but in actual use, problems are often encountered, that is, a single Kubernetes cluster cannot be deployed across multiple regions, not to mention across different cloud vendors, so that problems are brought to application services, that an application cannot realize disaster recovery backup at a region level and fault current switching between different regions, and problems such as upper limit of a single cluster size exist, so that according to service forms of application services and demands for cloud disaster recovery, how to uniformly manage container resources of scheduling application services are generally required, and meanwhile, limitations of single Kubernetes cluster on reliability support of cloud native application services are the problems to be solved at present.
Disclosure of Invention
The technical task of the invention is to provide an application distributed multi-activity system and method based on Kubernetes, which are used for solving the problem of how to uniformly manage and schedule container resources of application services and simultaneously solving the limitation of single Kubernetes cluster on the reliability support of cloud native application services.
The technical task of the present invention is achieved in a manner that an application distributed multi-activity system based on Kubernetes, the system comprising,
the cluster manager is used for uniformly managing a plurality of different areas and clusters of different types;
a configuration manager for processing various Kubernetes resource objects;
a scheduler for applying a scheduling distribution in the cluster;
domain name resolvers for application service discovery between various clusters.
Preferably, the Cluster manager comprises a Cluster resource object and a Cluster controller;
cluster resource objects are used to define various clusters that are managed;
the Cluster controller is used for monitoring Cluster resource objects and synchronously managing various clusters according to the change of the Cluster resource objects, so that unified management of a plurality of clusters with different areas and different types can be realized, and dynamic Cluster access and deletion are supported.
Preferably, the configuration manager comprises a Config resource object and a configuration controller;
the Config resource object is used for defining detailed information of the resource object to be issued;
the configuration controller is used for monitoring the Config resource object and synchronously issuing the Config resource object to the managed cluster according to the definition content;
wherein, the Config resource object comprises Template, placement and Override;
the Template is used for defining all information of the resource object to be issued, such as a resource definition of Deployment, service in Kubernetes;
placement is used for defining which clusters to issue resource objects to be managed, and if the resource objects are not defined, the resource objects are issued to all the managed clusters simultaneously; defining the maximum and minimum instance numbers of each cluster distribution at the same time, and carrying out flexible scheduling by a scheduler according to the configuration;
the Override is used to provide the ability to differentially modify the fields in the Template; for the same resource object to be issued, due to the influence of various factors such as cloud manufacturer or cluster version, there may be a difference in different cluster configurations; such as a duplicate object, where some fields are not required to be identical in different Kubernetes clusters, it is necessary to differentially configure these fields.
Preferably, the scheduler is used for scheduling and distributing the depoyment resources applied in the Kubernetes, performing flexible scheduling according to the most and least examples of defining the resource object distribution in each cluster, and performing reasonable expansion and contraction among the clusters according to the load condition of the clusters;
when the scheduling result collides with the customized Override, the scheduling result has priority, for example, the number of the defined application instances in the Override is 5, the actual scheduling result calculated by the actual scheduler is only 3, and then the number of the instances in the customized Override is changed from 5 to 3.
More preferably, the domain name resolver is used for application service discovery among various clusters, specifically as follows:
(1) The domain name resolver is connected to a server of the DNS server;
(2) After the application service is issued and created, the domain name resolver collects information of the corresponding devices of the applications in each cluster, and obtains corresponding ip and domain name combinations;
(3) Automatically configuring the ip and the corresponding domain name of each cluster service to a server of a DNS server of a public network so as to realize cross-cluster service discovery through the domain name of the public network;
(4) The domain name resolver performs health check on the application service:
when a cluster failure or an application becomes problematic, the health check fails;
(5) And updating a server of the DNS server by the domain name resolver, and removing the ip of the fault application from the server of the DNS server to realize automatic fault flow cutting.
The utility model provides an application distributing type multi-activity method based on Kubernetes, which is characterized in that application services are synchronously distributed and scheduled to the Kubernetes clusters, the application services of a plurality of Kubernetes clusters are uniformly exposed through a server of an automatic configuration DNS server, health examination is automatically carried out on the application of the plurality of Kubernetes clusters, fault application is kicked out from the server of the DNS server in time, automatic tangential flow of the fault application is realized, and the distributed multi-activity of the application service is finally realized while the service access stability is ensured.
Preferably, the method is as follows;
s1, a cluster manager performs unified management on a plurality of different areas and clusters of different types, and specifically comprises the following steps:
s101, defining various managed clusters by a Cluster resource object of a Cluster manager;
s102, a Cluster controller of a Cluster manager monitors Cluster resource objects, synchronously manages various clusters according to changes of the Cluster resource objects, realizes unified management of a plurality of different areas and different types of clusters, and supports dynamic Cluster access and deletion;
s2, a configuration manager processes various Kubernetes resource objects, specifically as follows;
s201, defining detailed information of a resource object to be issued in a Config resource object of a configuration manager;
s202, a configuration controller monitors Config resource objects and synchronously transmits the Config resource objects to a managed cluster according to definition contents in the Config resource objects;
s3, the scheduler is responsible for scheduling distribution of the depoyment resources applied to the Kubernetes, elastic scheduling is carried out according to the maximum and minimum examples of the resource objects distributed in each cluster, and reasonable expansion and contraction are carried out among the clusters according to the load condition of the clusters;
and S4, the domain name resolver is responsible for application service discovery among the clusters.
More preferably, the Config resource object includes Template, placement and Override;
the Template is used for defining all information of the resource object to be issued, such as a resource definition of Deployment, service in Kubernetes;
placement is used for defining which clusters to issue resource objects to be managed, and if the resource objects are not defined, the resource objects are issued to all the managed clusters simultaneously; defining the maximum and minimum instance numbers of each cluster distribution at the same time, and carrying out flexible scheduling by a scheduler according to the configuration;
the Override is used to provide the ability to differentially modify the fields in the Template; for the same resource object to be issued, due to the influence of various factors such as cloud manufacturer or cluster version, there may be a difference in different cluster configurations; such as a duplicate object, where some fields are not required to be identical in different Kubernetes clusters, it is necessary to differentially configure these fields.
More preferably, the domain name resolver in step S4 is responsible for application service discovery between clusters specifically as follows:
s401, a domain name resolver is connected to a server of a DNS server in a butt joint mode;
s402, after application services are issued and created, a domain name resolver collects information of corresponding devices of applications in each cluster, and corresponding ip and domain name combinations are obtained;
s403, automatically configuring the ip and the corresponding domain name of each cluster service to a server of a DNS server of a public network so as to realize cross-cluster service discovery through the domain name of the public network;
s404, performing health check on the application service by the domain name resolver:
when a cluster failure or an application becomes problematic, the health check fails;
and S405, updating a server of the DNS server by the domain name resolver, and removing the ip of the fault application from the server of the DNS server to realize automatic fault flow cutting.
A computer readable storage medium having stored therein a computer program executable by a processor to implement a Kubernetes-based application distributed multi-lived method as described above.
The application distributed multi-activity system and method based on the Kubernetes have the following advantages:
the invention aims to uniformly manage a plurality of Kubernetes clusters, synchronously and distributively schedule application services into the clusters, uniformly expose the application services of the clusters through an automatic configuration DNS server, automatically check the health of the application of the clusters, timely kick out fault application from the DNS server, realize automatic tangential flow of the fault application, ensure the stability of service access, thereby compensating the limitation of the single Kubernetes cluster on the reliability support of cloud native application service, and finally realizing the distributed multiple activities of the application service;
the invention adopts a mode of uniformly managing and scheduling a plurality of Kubernetes clusters, carries out application service arrangement across the clusters, reasonably stretches and contracts according to the load condition, has a domain name resolution function, can provide cross-cluster access capability for managing the application of each cluster, and enables the application to access the same back-end service of the clusters;
the method is simple and easy to use, can manage the resource objects of a plurality of Kubernetes clusters, can automatically synchronize to the plurality of clusters only by one definition, and dispersedly distributes and deploys the workload among the plurality of clusters, thereby improving the reliability of application service;
the invention realizes the scheduling of the resource arrangement of the cross-cluster, and the scheduler can perform the deployment of the elastic application service in a plurality of clusters according to the arrangement strategy;
the invention realizes the service discovery of the cross-cluster, realizes the service discovery of the cross-cluster through domain name resolution, can remove the fault application in time, and ensures that the application can stably provide service;
the method and the system uniformly manage and schedule a plurality of Kubernetes clusters, support dynamic cluster access and deletion, perform distributed elastic scheduling on application services according to configuration and load conditions, uniformly deploy, update and delete applications across clusters, provide cross-cluster access capability of each cluster application by automatically configuring a DNS server, ensure that the same back-end application of a plurality of clusters can be accessed, and automatically switch to the same back-end service of other clusters when the back-end application of a certain cluster fails, and ensure the availability and robustness of the application service;
the invention simplifies the management of a plurality of Kubernetes clusters, and can dynamically access a new Cluster or delete a certain Cluster only by defining a Cluster resource object;
the invention distributes and schedules the application service to different clusters through an automatic mechanism, and the application is arranged based on the scheduling strategies such as the copy number, the cluster load condition and the like;
the invention automatically carries out health examination on the application service, timely kicks out unhealthy application from the DNS server, and realizes automatic tangential flow of fault application;
the application distributed multi-activity design based on the Kubernetes can deploy application services in different Kubernetes clusters and uniformly manage operation and maintenance, simplify application Service components such as devionynts, services and the like for managing a plurality of clusters, and disperse workload among the plurality of clusters so as to improve the reliability of the application services and finally realize the distributed multi-activity of the application services. .
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The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a block diagram of a Kubernetes-based application distributed multi-activity system.
Detailed Description
The Kubernetes-based application distributed multi-activity system and method of the present invention are described in detail below with reference to the drawings and detailed description.
In the description of the present invention, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, only for convenience in describing the present invention and simplifying the description. Rather than indicating or implying that the apparatus or elements herein referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore should not be construed as limiting the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Example 1:
as shown in fig. 1, the Kubernetes-based application distributed multi-activity system of the present invention comprises,
the cluster manager is used for uniformly managing a plurality of different areas and clusters of different types;
a configuration manager for processing various Kubernetes resource objects;
a scheduler for applying a scheduling distribution in the cluster;
domain name resolvers for application service discovery between various clusters.
The Cluster manager in this embodiment includes a Cluster resource object and a Cluster controller;
cluster resource objects are used to define various clusters that are managed;
the Cluster controller is used for monitoring Cluster resource objects and synchronously managing various clusters according to the change of the Cluster resource objects, so that unified management of a plurality of clusters with different areas and different types can be realized, and dynamic Cluster access and deletion are supported.
The configuration manager in this embodiment includes a Config resource object and a configuration controller;
the Config resource object is used for defining detailed information of the resource object to be issued;
the configuration controller is used for monitoring the Config resource object and synchronously issuing the Config resource object to the managed cluster according to the definition content;
wherein, the Config resource object comprises Template, placement and Override;
the Template is used for defining all information of the resource object to be issued, such as a resource definition of Deployment, service in Kubernetes;
placement is used for defining which clusters to issue resource objects to be managed, and if the resource objects are not defined, the resource objects are issued to all the managed clusters simultaneously; defining the maximum and minimum instance numbers of each cluster distribution at the same time, and carrying out flexible scheduling by a scheduler according to the configuration;
the Override is used to provide the ability to differentially modify the fields in the Template; for the same resource object to be issued, due to the influence of various factors such as cloud manufacturer or cluster version, there may be a difference in different cluster configurations; such as a duplicate object, where some fields are not required to be identical in different Kubernetes clusters, it is necessary to differentially configure these fields.
The scheduler in the embodiment is used for scheduling and distributing the depoyment resources applied in the Kubernetes, performing elastic scheduling according to the most and least examples of defining the resource object distribution in each cluster, and performing reasonable expansion and contraction among the clusters according to the load condition of the clusters;
when the scheduling result collides with the customized Override, the scheduling result has priority, for example, the number of the defined application instances in the Override is 5, the actual scheduling result calculated by the actual scheduler is only 3, and then the number of the instances in the customized Override is changed from 5 to 3.
The domain name resolver in this embodiment is used for application service discovery between various clusters, specifically as follows:
(1) The domain name resolver is connected to a server of the DNS server;
(2) After the application service is issued and created, the domain name resolver collects information of the corresponding devices of the applications in each cluster, and obtains corresponding ip and domain name combinations;
(3) Automatically configuring the ip and the corresponding domain name of each cluster service to a server of a DNS server of a public network so as to realize cross-cluster service discovery through the domain name of the public network;
(4) The domain name resolver performs health check on the application service:
when a cluster failure or an application becomes problematic, the health check fails;
(5) And updating a server of the DNS server by the domain name resolver, and removing the ip of the fault application from the server of the DNS server to realize automatic fault flow cutting.
Example 2:
the invention discloses a Kubernetes-based application distributed multi-activity method, which comprises the steps of synchronously distributing and dispatching application services into Kubernetes clusters, uniformly exposing the application services of a plurality of Kubernetes clusters through a server of an automatic configuration DNS server, automatically carrying out health examination on the application of the plurality of Kubernetes clusters, timely kicking out fault application from the server of the DNS server, realizing automatic tangential flow of the fault application, ensuring service access stability and finally realizing distributed multi-activity of the application service; the method is as follows;
s1, a cluster manager performs unified management on a plurality of different areas and clusters of different types, and specifically comprises the following steps:
s101, defining various managed clusters by a Cluster resource object of a Cluster manager;
s102, a Cluster controller of a Cluster manager monitors Cluster resource objects, synchronously manages various clusters according to changes of the Cluster resource objects, realizes unified management of a plurality of different areas and different types of clusters, and supports dynamic Cluster access and deletion;
s2, a configuration manager processes various Kubernetes resource objects, specifically as follows;
s201, defining detailed information of a resource object to be issued in a Config resource object of a configuration manager;
s202, a configuration controller monitors Config resource objects and synchronously transmits the Config resource objects to a managed cluster according to definition contents in the Config resource objects;
s3, the scheduler is responsible for scheduling distribution of the depoyment resources applied to the Kubernetes, elastic scheduling is carried out according to the maximum and minimum examples of the resource objects distributed in each cluster, and reasonable expansion and contraction are carried out among the clusters according to the load condition of the clusters;
s4, the domain name resolver is responsible for application service discovery among all clusters; the method comprises the following steps:
s401, a domain name resolver is connected to a server of a DNS server in a butt joint mode;
s402, after application services are issued and created, a domain name resolver collects information of corresponding devices of applications in each cluster, and corresponding ip and domain name combinations are obtained;
s403, automatically configuring the ip and the corresponding domain name of each cluster service to a server of a DNS server of a public network so as to realize cross-cluster service discovery through the domain name of the public network;
s404, performing health check on the application service by the domain name resolver:
when a cluster failure or an application becomes problematic, the health check fails;
and S405, updating a server of the DNS server by the domain name resolver, and removing the ip of the fault application from the server of the DNS server to realize automatic fault flow cutting.
The Config resource object in this embodiment includes Template, placement and Override;
the Template is used for defining all information of the resource object to be issued, such as a resource definition of Deployment, service in Kubernetes;
placement is used for defining which clusters to issue resource objects to be managed, and if the resource objects are not defined, the resource objects are issued to all the managed clusters simultaneously; defining the maximum and minimum instance numbers of each cluster distribution at the same time, and carrying out flexible scheduling by a scheduler according to the configuration;
the Override is used to provide the ability to differentially modify the fields in the Template; for the same resource object to be issued, due to the influence of various factors such as cloud manufacturer or cluster version, there may be a difference in different cluster configurations; such as a duplicate object, where some fields are not required to be identical in different Kubernetes clusters, it is necessary to differentially configure these fields.
Example 3:
the embodiment of the invention also provides a computer readable storage medium, wherein a plurality of instructions are stored, and the instructions are loaded by a processor, so that the processor executes the application distributed multi-activity method based on the Kubernetes in any embodiment of the invention. Specifically, a system or apparatus provided with a storage medium on which a software program code realizing the functions of any of the above embodiments is stored, and a computer (or CPU or MPU) of the system or apparatus may be caused to read out and execute the program code stored in the storage medium.
In this case, the program code itself read from the storage medium may realize the functions of any of the above-described embodiments, and thus the program code and the storage medium storing the program code form part of the present invention.
Examples of the storage medium for providing the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (e.g., CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a nonvolatile memory card, and a ROM. Alternatively, the program code may be downloaded from a server computer by a communication network.
Further, it should be apparent that the functions of any of the above-described embodiments may be implemented not only by executing the program code read out by the computer, but also by causing an operating system or the like operating on the computer to perform part or all of the actual operations based on the instructions of the program code.
Further, it is understood that the program code read out by the storage medium is written into a memory provided in an expansion board inserted into a computer or into a memory provided in an expansion unit connected to the computer, and then a CPU or the like mounted on the expansion board or the expansion unit is caused to perform part and all of actual operations based on instructions of the program code, thereby realizing the functions of any of the above embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (3)
1. An application distributed multi-activity system based on Kubernetes, which is characterized in that the system comprises,
the cluster manager is used for uniformly managing a plurality of different areas and clusters of different types; the Cluster manager comprises a Cluster resource object and a Cluster controller;
cluster resource objects are used to define various clusters that are managed;
the Cluster controller is used for monitoring Cluster resource objects and synchronously managing various clusters according to the change of the Cluster resource objects, so that unified management of a plurality of clusters with different areas and different types can be realized, and dynamic Cluster access and deletion are supported;
a configuration manager for processing various Kubernetes resource objects; the configuration manager comprises a Config resource object and a configuration controller;
the Config resource object is used for defining detailed information of the resource object to be issued;
the configuration controller is used for monitoring the Config resource object and synchronously issuing the Config resource object to the managed cluster according to the definition content;
wherein, the Config resource object comprises Template, placement and Override;
the Template is used for defining all information of the resource object to be issued;
placement is used for defining which clusters to issue resource objects to be managed, and if the resource objects are not defined, the resource objects are issued to all the managed clusters simultaneously; defining the maximum and minimum instance numbers of each cluster distribution at the same time, and carrying out flexible scheduling by a scheduler according to the configuration;
the Override is used to provide the ability to differentially modify the fields in the Template;
a scheduler for applying a scheduling distribution in the cluster; the scheduler is used for scheduling and distributing the depoyment resources applied in the Kubernetes, flexibly scheduling according to the maximum and minimum examples of defining the resource object distribution in each cluster, and reasonably expanding and contracting among the clusters according to the load condition of the clusters; when the scheduling result collides with the custom Override, the scheduling result enjoys priority;
a domain name resolver for application service discovery between various clusters; the domain name resolver is used for discovering application services among various clusters, and specifically comprises the following steps:
(1) The domain name resolver is connected to a server of the DNS server;
(2) After the application service is issued and created, the domain name resolver collects information of the corresponding devices of the applications in each cluster, and obtains corresponding ip and domain name combinations;
(3) Automatically configuring the ip and the corresponding domain name of each cluster service to a server of a DNS server of a public network so as to realize cross-cluster service discovery through the domain name of the public network;
(4) The domain name resolver performs health check on the application service:
when a cluster failure or an application becomes problematic, the health check fails;
(5) And updating a server of the DNS server by the domain name resolver, and removing the ip of the fault application from the server of the DNS server to realize automatic fault flow cutting.
2. The utility model provides an application distributed multi-activity method based on Kubernetes, which is characterized in that the method is that application services are synchronously distributed and scheduled into the Kubernetes clusters, the application services of a plurality of Kubernetes clusters are uniformly exposed through a server of an automatic configuration DNS server, health examination is automatically carried out on the application of the plurality of Kubernetes clusters, fault application is timely kicked out from the server of the DNS server, automatic tangential flow of the fault application is realized, and the distributed multi-activity of the application service is finally realized while the service access stability is ensured; the method comprises the following steps:
s1, a cluster manager performs unified management on a plurality of different areas and clusters of different types, and specifically comprises the following steps:
s101, defining various managed clusters by a Cluster resource object of a Cluster manager;
s102, a Cluster controller of a Cluster manager monitors Cluster resource objects, synchronously manages various clusters according to changes of the Cluster resource objects, realizes unified management of a plurality of different areas and different types of clusters, and supports dynamic Cluster access and deletion;
s2, the configuration manager processes various Kubernetes resource objects, and the method specifically comprises the following steps:
s201, defining detailed information of a resource object to be issued in a Config resource object of a configuration manager; wherein, the Config resource object comprises Template, placement and Override;
the Template is used for defining all information of the resource object to be issued;
placement is used for defining which clusters to issue resource objects to be managed, and if the resource objects are not defined, the resource objects are issued to all the managed clusters simultaneously; defining the maximum and minimum instance numbers of each cluster distribution at the same time, and carrying out flexible scheduling by a scheduler according to the configuration;
the Override is used to provide the ability to differentially modify the fields in the Template;
s202, a configuration controller monitors Config resource objects and synchronously transmits the Config resource objects to a managed cluster according to definition contents in the Config resource objects;
s3, the scheduler is responsible for scheduling distribution of the depoyment resources applied to the Kubernetes, elastic scheduling is carried out according to the maximum and minimum examples of the resource objects distributed in each cluster, and reasonable expansion and contraction are carried out among the clusters according to the load condition of the clusters;
s4, the domain name resolver is responsible for application service discovery among all clusters; the method comprises the following steps:
s401, a domain name resolver is connected to a server of a DNS server in a butt joint mode;
s402, after application services are issued and created, a domain name resolver collects information of corresponding devices of applications in each cluster, and corresponding ip and domain name combinations are obtained;
s403, automatically configuring the ip and the corresponding domain name of each cluster service to a server of a DNS server of a public network so as to realize cross-cluster service discovery through the domain name of the public network;
s404, performing health check on the application service by the domain name resolver:
when a cluster failure or an application becomes problematic, the health check fails;
and S405, updating a server of the DNS server by the domain name resolver, and removing the ip of the fault application from the server of the DNS server to realize automatic fault flow cutting.
3. A computer readable storage medium having a computer program stored therein, the computer program being executable by a processor to implement the Kubernetes-based application distributed multi-lived method of claim 2.
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