CN111198756A - Application scheduling method and device of kubernets cluster - Google Patents
Application scheduling method and device of kubernets cluster Download PDFInfo
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Abstract
The application discloses an application scheduling method of a kubernets cluster, which is applied to a container cloud platform, wherein the kubernets cluster is realized based on a Loongson server, the method can divide kubernets cluster nodes managed by the same container cloud platform and based on the Loongson server into a plurality of logic pools in batches, even if nodes in a certain logic pool break down, application scheduling on other logic pools cannot be influenced under the actual condition that the stability of the Loongson server is insufficient, the problem that the whole cluster is unavailable due to the fact that partial nodes in the whole cluster break down is avoided, mutual influence among businesses is avoided, and the reliability of kubernets cluster service is improved. In addition, the application scheduling device of the kubernets cluster, the container cloud platform and the readable storage medium are further provided, and the technical effect of the application scheduling device of the kubernets cluster corresponds to that of the method.
Description
Technical Field
The application relates to the technical field of computers, in particular to an application scheduling method and device of a kubernets cluster, a container cloud platform and a readable storage medium.
Background
According to the kubernets cluster deployed based on the Loongson servers, after a large number of servers are connected into the cluster, due to the reason that the stability of the Loongson servers is poor, and the actual service deployed on the kubernets cluster by a container cloud platform often relates to different channels or different departments, when a certain node in the kubernets cluster breaks down, the avalanche effect caused by batch scheduling can be caused, and the whole kubernets cluster is not available.
Therefore, how to provide a scheduling scheme for a kubernets cluster to avoid the defect that a fault of a part of nodes in the cluster can cause unavailability of the whole cluster is a problem to be urgently solved by technical personnel in the field.
Disclosure of Invention
The application scheduling method and device of the kubernets cluster, the container cloud platform and the readable storage medium are used for solving the problem that a part of nodes in the cluster are failed to possibly cause the whole cluster to be unavailable in the current scheduling scheme of the kubernets cluster.
The specific scheme is as follows:
in a first aspect, the present application provides an application scheduling method for a kubernets cluster, which is applied to a container cloud platform, where the kubernets cluster is implemented based on a loongson server, and the method includes:
acquiring a logic pool label of a target application according to a scheduling request of the target application;
determining a target logical pool in a kubernets cluster corresponding to the logical pool label, wherein the kubernets cluster includes a plurality of logical pools including one or more nodes;
and scheduling the target application according to the target logic pool.
Preferably, before the obtaining the logical pool label of the target application according to the scheduling request of the target application, the method further includes:
determining a scheduling policy of a target application according to a deployment request of the target application, and setting a corresponding logic pool label for the target application according to the scheduling policy.
Preferably, the setting a corresponding logical pool label for the target application according to the scheduling policy includes:
and setting the parameter value of the label selector of the target application as a corresponding logic pool label according to the scheduling strategy.
Preferably, before the determining the scheduling policy of the target application according to the deployment request of the target application, the method further includes:
generating configuration information of a logical pool, wherein the configuration information comprises a logical pool label and also comprises identification information of member nodes in the logical pool or the total number of the member nodes;
and setting the logic pool label for the nodes corresponding to the identification information in the kubernets cluster according to the configuration information, or setting the logic pool label for the total number of the nodes in the kubernets cluster.
Preferably, the setting the logical pool label for the nodes corresponding to the identification information in the kubernets cluster according to the configuration information, or setting the logical pool label for the total number of nodes in the kubernets cluster includes:
sending an asynchronous calling request carrying the configuration information to a kubernets cluster;
and setting the logic pool label for the nodes corresponding to the identification information or setting the logic pool label for the total number of the nodes according to the asynchronous call request by utilizing the kubernets cluster.
Preferably, the generating configuration information of the logical pool, wherein the configuration information includes a logical pool tag and also includes identification information of member nodes in the logical pool or a total number of member nodes, includes:
and generating configuration information of a logical pool, wherein the configuration information comprises a logical pool label and also comprises an IP address range interval of member nodes in the logical pool.
Preferably, before the generating the configuration information of the logical pool, the method further includes:
obtaining authentication information of the kubernets cluster to establish connection with the kubernets cluster.
In a second aspect, the present application provides an application scheduling apparatus for a kubernets cluster, which is applied to a container cloud platform, where the kubernets cluster is implemented based on a loongson server, and the apparatus includes:
a tag acquisition module: the system comprises a logic pool tag, a logic pool tag and a scheduling request, wherein the logic pool tag is used for acquiring a logic pool tag of a target application according to the scheduling request of the target application;
a logical pool determination module: means for determining a target logical pool in a kubernets cluster corresponding to the logical pool label, wherein the kubernets cluster includes a plurality of logical pools including one or more nodes;
a scheduling module: and the target application is scheduled according to the target logic pool.
In a third aspect, the present application provides a container cloud platform comprising:
a memory: for storing a computer program;
a processor: for executing said computer program for implementing the steps of the application scheduling method of a kubernets cluster as described above.
In a fourth aspect, the present application provides a readable storage medium having stored thereon a computer program for implementing the steps of the application scheduling method of a kubernets cluster as described above when executed by a processor.
The application scheduling method of the kubernets cluster is applied to a container cloud platform, wherein the kubernets cluster is realized based on a Loongson server, and the method comprises the following steps: acquiring a logic pool label of a target application according to a scheduling request of the target application; determining a target logical pool corresponding to a logical pool tag in a kubernets cluster, wherein the kubernets cluster comprises a plurality of logical pools, and each logical pool comprises one or more nodes; and scheduling the target application according to the target logic pool. Therefore, the method can divide Kubernets cluster nodes managed by the same container cloud platform and based on the Loongson server into a plurality of logic pools in batches, even if the nodes in a certain logic pool break down, application scheduling on other logic pools cannot be influenced under the actual condition that the stability of the Loongson server is insufficient, the problem that the whole cluster is unavailable due to the fact that partial nodes in the whole cluster break down is avoided, mutual influence among services is avoided, and reliability of Kubernets cluster service is improved.
In addition, the application scheduling device, the container cloud platform and the readable storage medium of the kubernets cluster are further provided, the technical effect of the kubernets cluster corresponds to that of the method, and the technical effect is not repeated herein.
Drawings
For a clearer explanation of the embodiments or technical solutions of the prior art of the present application, the drawings needed for the description of the embodiments or prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart illustrating a first implementation of an application scheduling method of a kubernets cluster according to an embodiment of the present disclosure;
fig. 2 is a flowchart illustrating an implementation of a second method for scheduling applications in a kubernets cluster according to an embodiment of the present disclosure;
fig. 3 is a schematic process diagram illustrating a configuration of a logical pool on a container cloud platform in an embodiment of an application scheduling method for a kubernets cluster provided in the present application;
fig. 4 is a schematic content diagram of logical pool information stored in a database of a container cloud platform in an embodiment of an application scheduling method for a kubernets cluster provided in the present application;
fig. 5 is a schematic process diagram of generating a logical pool by a kubernets cluster in a second embodiment of an application scheduling method for kubernets cluster provided in the present application;
fig. 6 is a functional block diagram of an embodiment of an application scheduling apparatus of a kubernets cluster provided in the present application.
Detailed Description
The core of the application is to provide an application scheduling method and device of the kubernets cluster, a container cloud platform and a readable storage medium, wherein kubernets cluster nodes based on a Loongson server are divided into a plurality of logic pools in batches in advance, so that even if a node in one logic pool breaks down in the application scheduling process, application scheduling on other logic pools is not influenced, and the reliability of the kubernets cluster is improved.
In order that those skilled in the art will better understand the disclosure, the following detailed description will be given with reference to the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present application and not all 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 application.
Referring to fig. 1, the first embodiment of an application scheduling method for a kubernets cluster provided by the present application is applied to a container cloud platform, where the kubernets cluster is implemented based on a loongson server, and the method in the first embodiment includes:
s101, acquiring a logic pool label of a target application according to a scheduling request of the target application;
s102, determining a target logic pool corresponding to the logic pool label in a kubernets cluster, wherein the kubernets cluster comprises a plurality of logic pools, and each logic pool comprises one or more nodes;
s103, scheduling the target application according to the target logic pool.
The container technology is a virtualization technology which saves more computing resources than a virtual machine technology and is more flexible, the kubernets related to the embodiment is a brand-new distributed architecture leading scheme based on the container technology, and when the container technology is applied to an actual production environment, application system deployment is difficult only by using the kubernets generally, so that a container cloud platform for managing a kubernets cluster needs to be arranged.
The embodiment is applied to a container cloud platform, the container cloud platform accesses a kubernets cluster through kubeconfig (authentication information) of the cluster, and the kubernets cluster is accessed and managed by calling kubernets API.
In this embodiment, nodes in the kubernets cluster are divided into a plurality of logical pools in advance, each logical pool includes one or more nodes, and each node belongs to only one logical pool. The node is a working node in kubernets, has some necessary services for operating pod, such as Docker, kubel, kube-proxy, and is managed by a Master component.
In the process of dividing the logic pools, logic pool labels are also generated, and the logic pool labels of the logic pools are different and are used for uniquely identifying one logic pool. And then, setting corresponding logical pool labels for the nodes in the kubernets cluster according to the division condition of the logical pools. As a specific implementation manner, the division of the logical pool may be according to: and dividing the nodes into a plurality of logic pools according to different services, different channels and different departments. Assuming that the logical pool is divided from the business dimension, it can be divided into a business front pool, an electronic channel pool, a human-social office pool, a public accumulation fund central pool, etc.
It should be noted that, when deploying an application, it is necessary to determine a logic pool corresponding to the application, and set a logic pool tag of the logic pool for the application, so as to perform scheduling according to the logic pool tag in a subsequent process.
Unlike the conventional application scheduling policy, in the application scheduling process, the present embodiment implements application scheduling in units of logical pools. Therefore, after receiving a scheduling request of a target application, determining a logic pool label preset for the target application, then determining a target logic pool corresponding to the logic pool label in the kubernets cluster, and finally scheduling the target application according to the target logic pool.
The method can divide Kubernets cluster nodes managed by the same container cloud platform and based on the Loongson server into a plurality of logic pools in batches, and under the actual condition that the stability of the Loongson server is insufficient, even if a node in one logic pool breaks down, application scheduling on other logic pools cannot be influenced, the problem that the whole cluster is unavailable due to the fact that partial nodes in the whole cluster break down is avoided, mutual influence among businesses is avoided, and the reliability of Kubernets cluster service is improved.
An embodiment of an application scheduling method for a kubernets cluster provided by the present application is described in detail below, and the embodiment two is implemented based on the above embodiment one and is expanded to a certain extent on the basis of the embodiment one.
Referring to fig. 2, in the second embodiment, the method is applied to a container cloud platform, and the kubernets cluster is implemented based on a loongson server, and the method includes:
s201, acquiring authentication information of a kubernets cluster to establish connection with the kubernets cluster;
s202, generating configuration information of a logic pool, wherein the configuration information comprises a logic pool label and also comprises identification information of member nodes in the logic pool or the total number of the member nodes;
as shown in fig. 3, the user may set the total number of member nodes in each logical pool in the container cloud platform, or may select the member nodes of each logical pool in batch, for example, designate a node in any IP address interval range as a member node of a certain logical pool. And then the container cloud platform generates configuration information of the logic pools according to user operation, and automatically allocates corresponding logic pool labels (labels) to each logic pool.
Recording information of each logical pool in a database of the container cloud platform, as shown in fig. 4, the information of the logical pool may include: the method comprises the steps of receiving a logical pool ID, a logical pool name, a logical pool label, the total number of member nodes in the logical pool, the IP address range of the member nodes in the logical pool, and the ID of the member nodes in the logical pool in the kubernets cluster.
S203, sending an asynchronous calling request carrying the configuration information to the kubernets cluster;
s204, setting the logic pool label for the node corresponding to the identification information or setting the logic pool label for the total number of nodes according to the asynchronous call request by using the kubernets cluster;
as shown in fig. 5, as a preferred embodiment, in an asynchronous calling manner, the daemon finds a node in the kubernets cluster that is not allocated with a logical pool, and allocates the logical pool to the node, that is, adds a corresponding logical pool label to the node.
S205, according to a deployment request of a target application, determining a scheduling policy of the target application, and setting a corresponding logic pool label for the target application according to the scheduling policy;
the target application may be a stateful application, such as a database application, or may also be a stateless application, such as a web application, which is not limited in this embodiment. As a specific implementation way, parameter values of the tag Selectors (Labels Selectors) of the target application are set as corresponding logic pool tags according to the scheduling strategy.
S206, acquiring a logic pool label of the target application according to the scheduling request of the target application;
s207, determining a target logic pool corresponding to the logic pool label in a kubernets cluster, wherein the kubernets cluster comprises a plurality of logic pools, and each logic pool comprises one or more nodes;
and S208, scheduling the target application according to the target logic pool.
It can be seen that the application scheduling method of the kubernets cluster provided by this embodiment is applied to a container cloud platform, where the kubernets cluster is implemented based on a Loongson server, and the method implements logical pool partitioning of kubernets cluster nodes based on the Loongson server according to service or channel dimensions, maintains a corresponding relationship between each logical pool and a bottom-layer kubernets node, and a corresponding relationship between each logical pool and a logical pool label, and supports batch operations. Adding a logic pool label to the batch nodes by calling a kubernets API, and performing application scheduling by taking the logic pool as a unit according to the logic pool label. The method avoids the avalanche effect caused by batch scheduling and the unavailability of the whole cluster after the faults occur to the partial nodes in the whole cluster, and avoids the mutual influence among the services.
In the following, embodiments of an application scheduling apparatus of a kubernets cluster provided by the present application are introduced, and an application scheduling apparatus of a kubernets cluster described below and an application scheduling method of a kubernets cluster described above may be referred to correspondingly.
The application scheduling apparatus of a kubernets cluster in this embodiment is applied to a container cloud platform, where the kubernets cluster is implemented based on a loongson server, as shown in fig. 6, the apparatus includes:
the tag obtaining module 601: the system comprises a logic pool tag, a logic pool tag and a scheduling request, wherein the logic pool tag is used for acquiring a logic pool tag of a target application according to the scheduling request of the target application;
logical pool determination module 602: means for determining a target logical pool in a kubernets cluster corresponding to the logical pool label, wherein the kubernets cluster includes a plurality of logical pools including one or more nodes;
the scheduling module 603: and the target application is scheduled according to the target logic pool.
The application scheduling apparatus of a kubernets cluster in this embodiment is used to implement the foregoing application scheduling method of a kubernets cluster, and therefore a specific implementation manner in the apparatus may be found in the foregoing embodiment of the application scheduling method of a kubernets cluster, for example, the tag obtaining module 601, the logic pool determining module 602, and the scheduling module 603 are respectively used to implement steps S101, S102, and S103 in the foregoing application scheduling method of a kubernets cluster. Therefore, specific embodiments thereof may be referred to in the description of the corresponding respective partial embodiments, and will not be described herein.
In addition, since the application scheduling apparatus of a kubernets cluster in this embodiment is used to implement the foregoing application scheduling method of a kubernets cluster, the role thereof corresponds to the role of the foregoing method, and details thereof are omitted here.
In addition, this application still provides a container cloud platform, includes:
a memory: for storing a computer program;
a processor: for executing said computer program for implementing the steps of the application scheduling method of a kubernets cluster as described above.
Finally, the present application provides a readable storage medium having stored thereon a computer program for implementing the steps of the application scheduling method of a kubernets cluster as described above, when executed by a processor.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above detailed descriptions of the solutions provided in the present application, and the specific examples applied herein are set forth to explain the principles and implementations of the present application, and the above descriptions of the examples are only used to help understand the method and its core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. An application scheduling method of a kubernets cluster is applied to a container cloud platform, the kubernets cluster is realized based on a Loongson server, and the method comprises the following steps:
acquiring a logic pool label of a target application according to a scheduling request of the target application;
determining a target logical pool in a kubernets cluster corresponding to the logical pool label, wherein the kubernets cluster includes a plurality of logical pools including one or more nodes;
and scheduling the target application according to the target logic pool.
2. The method of claim 1, wherein prior to obtaining the logical pool label of the target application according to the scheduling request of the target application, further comprising:
determining a scheduling policy of a target application according to a deployment request of the target application, and setting a corresponding logic pool label for the target application according to the scheduling policy.
3. The method of claim 2, wherein said setting a corresponding logical pool label for the target application according to the scheduling policy comprises:
and setting the parameter value of the label selector of the target application as a corresponding logic pool label according to the scheduling strategy.
4. The method of claim 2, wherein prior to determining the scheduling policy of the target application based on the deployment request of the target application, further comprising:
generating configuration information of a logical pool, wherein the configuration information comprises a logical pool label and also comprises identification information of member nodes in the logical pool or the total number of the member nodes;
and setting the logic pool label for the nodes corresponding to the identification information in the kubernets cluster according to the configuration information, or setting the logic pool label for the total number of the nodes in the kubernets cluster.
5. The method of claim 4, wherein said setting the logical pool label for the nodes in the kubernets cluster corresponding to the identification information or the total number of nodes in the kubernets cluster according to the configuration information comprises:
sending an asynchronous calling request carrying the configuration information to a kubernets cluster;
and setting the logic pool label for the nodes corresponding to the identification information or setting the logic pool label for the total number of the nodes according to the asynchronous call request by utilizing the kubernets cluster.
6. The method of claim 4, wherein the generating configuration information for a logical pool, wherein the configuration information includes a logical pool label, and further includes identification information of member nodes or a total number of member nodes in the logical pool, comprises:
and generating configuration information of a logical pool, wherein the configuration information comprises a logical pool label and also comprises an IP address range interval of member nodes in the logical pool.
7. The method of claim 4, prior to the generating configuration information for a logical pool, further comprising:
obtaining authentication information of the kubernets cluster to establish connection with the kubernets cluster.
8. An application scheduling device of a kubernets cluster, which is applied to a container cloud platform, wherein the kubernets cluster is implemented based on a Loongson server, and the device comprises:
a tag acquisition module: the system comprises a logic pool tag, a logic pool tag and a scheduling request, wherein the logic pool tag is used for acquiring a logic pool tag of a target application according to the scheduling request of the target application;
a logical pool determination module: means for determining a target logical pool in a kubernets cluster corresponding to the logical pool label, wherein the kubernets cluster includes a plurality of logical pools including one or more nodes;
a scheduling module: and the target application is scheduled according to the target logic pool.
9. A container cloud platform, comprising:
a memory: for storing a computer program;
a processor: for executing said computer program for implementing the steps of the application scheduling method of a kubernets cluster according to any of claims 1-7.
10. A readable storage medium, having stored thereon a computer program for implementing the steps of the application scheduling method of a kubernets cluster according to any one of claims 1-7, when being executed by a processor.
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