CN116204311A - Pod cluster capacity expansion and contraction method and device, computer equipment and storage medium - Google Patents
Pod cluster capacity expansion and contraction method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a Pod cluster capacity expansion and contraction method, a device, computer equipment, a storage medium and a computer program product, and relates to the technical field of computers. Can be used in the field of financial science and technology or other related fields. The method comprises the following steps: acquiring various operation index information in the Pod cluster and expanding and shrinking conditions preset for each operation index information; under the condition that the target operation index information in the multiple operation index information is detected to be in accordance with the target expansion and contraction volume condition corresponding to the target operation index information, determining an expansion and contraction volume target value corresponding to the target expansion and contraction volume condition; the target operation index information is any one of the plurality of operation index information; and carrying out expansion and contraction processing on the Pod cluster according to the expansion and contraction target value. The method can cope with Pod expansion and contraction processing in more complex scenes.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a Pod cluster capacity expansion and contraction method, a device, a computer device, a storage medium, and a computer program product.
Background
Currently, the horizontal auto-scaling (HPA, horizontal Pod Autoscaler) feature of Pod (atomic scheduling unit of Kubernetes cluster, consisting of one or more containers) is implemented by Kubernetes API resources and controllers. The CPU or memory usage determines the behavior of the controller from a single resource usage index. The controller periodically adjusts the number of copies in the copy controller or depoyment (used to define the Deployment of Pod and controllers in the Kubernetes cluster) so that the monitored value of average CPU utilization or average memory utilization like Pod matches the target value set by the user.
However, the current HPA method can only perform automatic expansion and contraction operation on Pod based on the monitored traffic peak, and cannot meet the current increasingly complex application scenario.
Disclosure of Invention
Based on this, there is a need to provide a Pod cluster expansion and contraction method, apparatus, computer device, computer readable storage medium and computer program product for the technical problem of Pod cluster automatic expansion and contraction singleness.
In a first aspect, the present application provides a Pod cluster expansion and contraction method. The method comprises the following steps:
acquiring various operation index information in the Pod cluster and expanding and shrinking conditions preset for each operation index information;
Under the condition that the target operation index information in the multiple operation index information is detected to be in accordance with the target expansion and contraction volume condition corresponding to the target operation index information, determining an expansion and contraction volume target value corresponding to the target expansion and contraction volume condition; the target operation index information is any one of the plurality of operation index information;
and carrying out expansion and contraction processing on the Pod cluster according to the expansion and contraction target value.
In one embodiment, the target operation index information includes a current time, and determining, when it is detected that the target operation index information in the multiple operation index information meets a target expansion/contraction condition corresponding to the target operation index information, an expansion/contraction target value corresponding to the target expansion/contraction condition includes:
when the current time is detected to reach any one of a plurality of preset times, determining the Pod number corresponding to the any one preset time as the expansion and contraction target value;
wherein each predetermined time has a corresponding number of Pod.
In one embodiment, the target operation index information includes a resource usage rate of the Pod cluster; the method further comprises the steps of:
Acquiring the times that the resource utilization rate reaches a utilization rate threshold value in a preset monitoring period;
when the times meeting the times threshold is detected, determining that the resource utilization rate of the Pod cluster meets the target expansion and contraction condition corresponding to the resource utilization rate of the Pod cluster.
In one embodiment, when it is detected that the target operation index information in the multiple operation index information meets a target expansion/contraction condition corresponding to the target operation index information, determining the expansion/contraction target value corresponding to the target expansion/contraction condition includes:
under the condition that the resource utilization rate of the Pod cluster is detected to be in accordance with a target expansion and contraction condition corresponding to the resource utilization rate of the Pod cluster, determining the type of times that the resource utilization rate of the Pod cluster reaches the utilization rate threshold;
and determining a target expansion and contraction volume value corresponding to the target expansion and contraction volume condition according to the type.
In one embodiment, the usage threshold comprises a first usage threshold and a second usage threshold;
and determining a target expansion and contraction volume value corresponding to the target expansion and contraction volume condition according to the type, wherein the method comprises the following steps of:
if the frequency that the resource utilization rate of the Pod cluster reaches the utilization rate threshold value is the frequency exceeding the first utilization rate threshold value, acquiring a first target Pod number as the expansion and contraction target value;
And if the frequency that the resource utilization rate of the Pod cluster reaches the utilization rate threshold is less than the frequency of the second utilization rate threshold, acquiring a second target Pod number as the expansion and contraction target value.
In one embodiment, performing the capacity expansion and contraction processing on the Pod cluster according to the capacity expansion and contraction target value includes:
determining a current Pod number of the Pod cluster;
and according to a preset step number, the current Pod number of the Pod cluster is adjusted to the expansion and contraction target value.
In one embodiment, after performing the capacity expansion and contraction processing on the Pod cluster according to the capacity expansion and contraction target value, the method further includes:
recording the number of Pod after the expansion and contraction processing of the Pod cluster, the number of Pod before the expansion and contraction processing, the expansion and contraction time, the expansion and contraction result and the identification of the Pod cluster;
and storing the Pod number after the Pod cluster expansion and contraction processing, the Pod number before the expansion and contraction processing, the expansion and contraction time, the expansion and contraction result and the Pod cluster identification into a database.
In a second aspect, the present application further provides a Pod cluster expansion and contraction device. The device comprises:
the information acquisition module is used for acquiring various operation index information in the Pod cluster and expansion and contraction capacity conditions preset for each operation index information;
The target value determining module is used for determining a capacity expansion target value corresponding to the target capacity expansion condition under the condition that the target operation index information in the multiple operation index information is detected to be in accordance with the target capacity expansion condition corresponding to the target operation index information; the target operation index information is any one of the plurality of operation index information;
and the expansion and contraction module is used for carrying out expansion and contraction processing on the Pod cluster according to the expansion and contraction target value.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring various operation index information in the Pod cluster and expanding and shrinking conditions preset for each operation index information;
under the condition that the target operation index information in the multiple operation index information is detected to be in accordance with the target expansion and contraction volume condition corresponding to the target operation index information, determining an expansion and contraction volume target value corresponding to the target expansion and contraction volume condition; the target operation index information is any one of the plurality of operation index information;
And carrying out expansion and contraction processing on the Pod cluster according to the expansion and contraction target value.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring various operation index information in the Pod cluster and expanding and shrinking conditions preset for each operation index information;
under the condition that the target operation index information in the multiple operation index information is detected to be in accordance with the target expansion and contraction volume condition corresponding to the target operation index information, determining an expansion and contraction volume target value corresponding to the target expansion and contraction volume condition; the target operation index information is any one of the plurality of operation index information;
and carrying out expansion and contraction processing on the Pod cluster according to the expansion and contraction target value.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
acquiring various operation index information in the Pod cluster and expanding and shrinking conditions preset for each operation index information;
Under the condition that the target operation index information in the multiple operation index information is detected to be in accordance with the target expansion and contraction volume condition corresponding to the target operation index information, determining an expansion and contraction volume target value corresponding to the target expansion and contraction volume condition; the target operation index information is any one of the plurality of operation index information;
and carrying out expansion and contraction processing on the Pod cluster according to the expansion and contraction target value.
The Pod cluster expansion and contraction method, the Pod cluster expansion and contraction device, the computer equipment, the storage medium and the computer program product are characterized in that a plurality of parallel expansion and contraction conditions are preset, and a plurality of operation index information corresponding to the plurality of expansion and contraction conditions is detected; when the operation index information is detected to be in accordance with the expansion and contraction conditions, determining a corresponding expansion and contraction target value according to the expansion and contraction conditions so as to perform expansion and contraction processing on the Pod cluster. The effect of expanding and shrinking the Pod cluster based on various operation index information is achieved, so that the automatic expanding and shrinking capacity of the Pod cluster can meet more application scenes and user requirements.
Drawings
FIG. 1 is a flow chart of a Pod cluster capacity expansion and contraction method in one embodiment;
FIG. 2 is a schematic diagram of a complete flow of a Pod cluster expansion and contraction method according to another embodiment;
FIG. 3 is a schematic diagram of a cluster object structure for implementing a Pod cluster expansion and contraction method in one embodiment;
FIG. 4 is a block diagram of a Pod cluster expansion and contraction device according to one embodiment;
fig. 5 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, a Pod cluster expansion and contraction method is provided, and this embodiment is applied to a terminal for illustration by using the method, it is understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the steps of:
step 101, obtaining various operation index information in the Pod cluster and expanding and shrinking conditions preset for each operation index information.
Wherein Pod is an application container or a few application containers tightly coupled and sharing resources; pod is deployed on one node in the cluster, one node corresponding to one virtual machine or physical machine.
Wherein, the Pod cluster may be a Kubernetes (K8 s for short) cluster; the method can also be a Pod set applying the same set of expansion and contraction conditions in a K8s cluster, and it is to be noted that one K8s cluster can contain a plurality of similar Pod sets, and different configuration and definition are carried out on different Pod sets by different depth objects in the K8 s.
The method includes the steps that a user presets multiple parallel expansion and contraction conditions for a specific Pod cluster, a management object in the Pod cluster obtains the expansion and contraction conditions for the Pod cluster, and multiple operation index information for the Pod cluster is obtained through a monitoring object. For example, the operation index information is monitored using a Prometheus monitoring tool.
It should be noted that, the capacity expansion condition includes a capacity expansion condition and a capacity contraction condition, where the capacity expansion condition and the capacity contraction condition are independently triggered and executed, that is, after the capacity expansion condition is triggered and the capacity expansion is executed on the Pod cluster, if the capacity contraction condition is not triggered, the recovery of the Pod cluster after the capacity expansion is not needed. Similarly, after the capacity shrinking condition is triggered and the capacity shrinking is executed on the Pod cluster, if the capacity expanding condition is not triggered, the recovery of the Pod cluster after the capacity shrinking is not needed.
Step 102, determining a capacity expansion target value corresponding to the target capacity expansion condition under the condition that the target operation index information in the multiple operation index information is detected to be in accordance with the target capacity expansion condition corresponding to the target operation index information.
The target operation index information is any one of a plurality of operation index information.
In an exemplary embodiment, when the management object of the Pod cluster detects that one of the multiple operation index information meets the target capacity expansion and contraction condition, according to configuration information of the target capacity expansion and contraction condition, a capacity expansion and contraction target value corresponding to the Pod cluster under the target capacity expansion and contraction condition is determined.
And 103, performing expansion and contraction processing on the Pod cluster according to the expansion and contraction target value.
The method includes that a management object of a Pod cluster generates or reduces the number of Pod copies in the Pod cluster according to a target value of the expansion and contraction capacity and based on configuration information of the Pod, and expansion and contraction capacity processing of the Pod cluster is achieved. It should be noted that, when one Pod enjoys fixed resource allocation and one Pod provides service, the resource utilization rate of the Pod is too high or too low, which is not beneficial to load balancing management; therefore, the number of Pod copies is generated or reduced, so that the resource utilization rate of each Pod in the Pod set providing the same service meets the load balancing requirement, and the safety and the efficiency of the whole Pod cluster are ensured.
In the Pod cluster expansion and contraction method, a plurality of parallel expansion and contraction conditions are preset, and a plurality of operation index information corresponding to the expansion and contraction conditions is detected; when the operation index information is detected to be in accordance with the expansion and contraction conditions, determining a corresponding expansion and contraction target value according to the expansion and contraction conditions so as to perform expansion and contraction processing on the Pod cluster. The effect of expanding and shrinking the Pod cluster based on various operation index information is achieved, so that the automatic expanding and shrinking capacity of the Pod cluster can meet more application scenes and user requirements.
In one embodiment, the target operation index information includes a current time, and when it is detected that the target operation index information in the multiple operation index information meets a target expansion/contraction condition corresponding to the target operation index information, the step 102 of determining the expansion/contraction target value corresponding to the target expansion/contraction condition may further be implemented by the following steps:
when the current time is detected to reach any one of a plurality of preset times, determining the Pod number corresponding to any one of the preset times as a target value of expansion and contraction; wherein each predetermined time has a corresponding number of Pod.
For example, the user may preset a plurality of timing-performed scaling conditions, and each timing-performed scaling condition may set a different type of execution, which includes periodic execution and execution only once. The periodic execution specifically comprises daily execution, weekly execution or monthly execution, and further, the monthly execution can be set to be specific execution date execution, and also can be set to be month end execution or month end execution; the expansion and contraction condition is executed only once, and is deleted after the execution is completed. When detecting that the current time reaches a target preset time in a plurality of preset times, the management object of the Pod cluster determines the Pod number corresponding to the target preset time as a Pod cluster expansion and contraction target value, namely the Pod copy number after the Pod cluster is subjected to expansion and contraction processing.
In this embodiment, by setting the expansion and contraction conditions for the timing execution, the predictable and periodic traffic peak/valley period can be effectively handled, and particularly, a more effective handling strategy can be provided for traffic high concurrency scenarios like the end-of-month sales promotion.
In one embodiment, the target operation index information includes a resource usage rate of the Pod cluster, and the method specifically further includes the following steps:
step one, acquiring the times that the resource utilization rate reaches the utilization rate threshold value in a preset monitoring period;
and step two, when the times of detection meet the times threshold, determining that the resource utilization rate of the Pod cluster meets the target expansion and contraction condition corresponding to the resource utilization rate of the Pod cluster.
The resource utilization rate includes CPU utilization rate, memory utilization rate, network bandwidth utilization rate, etc., and may be a custom measurement index provided by other application programs.
The management object of the Pod cluster obtains the resource usage condition in the Pod cluster according to the monitoring object, and specifically includes the respective resource usage rate of each Pod copy. In the conventional method, sudden and accidental resource use peaks or valleys are ignored, and the expansion and contraction capacity processing of the Pod cluster is not performed aiming at the scene. In the scheme, in a monitoring period preset by each user, if the Pod cluster generates sporadic resource usage peaks or valleys for a plurality of times, and the frequency of the resource usage rate reaching the usage rate threshold reaches the frequency threshold when the peaks or valleys occur, the Pod cluster is considered to trigger a target capacity expansion and contraction condition corresponding to the resource usage rate.
In the embodiment, by setting the monitoring period and the frequency threshold, sporadic resource usage peak or low-valley scenes are better dealt with, and Pod cluster load balancing management under the bursty resource usage peak or low-valley scenes is realized, so that the Pod clusters can provide more stable services.
In one embodiment, the step 102 may further include determining the target value of the expansion and contraction corresponding to the target expansion and contraction condition when it is detected that the target operation index information in the plurality of operation index information meets the target expansion and contraction condition corresponding to the target operation index information, where the step is further implemented by:
step one, determining the type of the times that the resource utilization rate of the Pod cluster reaches the utilization rate threshold value under the condition that the resource utilization rate of the Pod cluster is detected to be in accordance with a target expansion and contraction condition corresponding to the resource utilization rate of the Pod cluster;
and step two, determining a target expansion and contraction volume target value corresponding to the target expansion and contraction volume condition according to the type.
In an exemplary embodiment, when it is detected that the resource usage rate of the Pod cluster meets the target capacity expansion condition corresponding to the resource usage rate of the Pod cluster, the type of the number of times that the resource usage rate of the Pod cluster reaches the usage rate threshold is determined, and the different types represent two processing modes of the Pod cluster, including capacity expansion processing and capacity contraction processing.
In the same embodiment, the usage rate threshold includes a first usage rate threshold and a second usage rate threshold, and the determining, according to the type, the target value of the expansion and contraction corresponding to the target expansion and contraction condition in the second step may further be implemented by the following steps:
step one, if the frequency that the resource utilization rate of the Pod cluster reaches the utilization rate threshold value is the frequency exceeding the first utilization rate threshold value, acquiring a first target Pod number as a capacity expansion target value;
and step two, if the frequency that the resource utilization rate of the Pod cluster reaches the utilization rate threshold is less than the frequency of the second utilization rate threshold, acquiring a second target Pod number as a capacity expansion target value.
For example, if the number of times that the resource usage rate of the Pod cluster exceeds the peak threshold (i.e., the first usage rate threshold) reaches the capacity expansion and contraction condition in the monitoring period, a first target Pod number corresponding to the capacity expansion and contraction condition is obtained, and capacity expansion processing is performed on the Pod cluster based on the first target Pod number; and if the frequency of the resource utilization rate of the Pod cluster lower than the low threshold (namely the second utilization rate threshold) reaches the capacity expansion and contraction condition in the monitoring period, acquiring a second target Pod number corresponding to the capacity expansion and contraction condition, and performing capacity expansion processing on the Pod cluster based on the second target Pod number. Wherein the first target Pod number and the second Pod number may be preset by a user. The specific triggered first target Pod number can be determined by the highest resource utilization rate in the monitoring period or by the average value of the resource utilization rates exceeding the peak threshold value in the monitoring period; accordingly, the second target Pod number may also be determined by a similar scheme.
In this embodiment, by setting the monitoring period and the frequency threshold, the sporadic resource usage peak or low valley situation is better dealt with, and meanwhile, by setting the first target Pod number and the second target Pod number, multiple expansion and contraction capacity processing modes are customized, so that Pod cluster load balancing management under the bursty resource usage peak or low valley situation is realized, and more stable service can be provided by the Pod clusters.
In one embodiment, the step 103 performs the capacity expansion and contraction processing on the Pod cluster according to the capacity expansion and contraction target value, which may also be implemented by the following steps:
step one, determining the current Pod number of the Pod cluster;
and step two, according to the preset step number, the current Pod number of the Pod cluster is adjusted to the expansion and contraction target value.
Illustratively, each time the Pod cluster is subjected to the capacity expansion and contraction process, the Pod cluster can be gradually expanded and contracted by a preset step number. For example, if the current Pod number is 100, the expansion capacity target value is 120, and the step number is 10, the current Pod number of the Pod cluster needs to be increased to 120 through twice expansion; accordingly, the capacity reduction process can also be performed in a similar manner. It should be noted that, the number of Pod in the Pod cluster has an upper limit and a lower limit, and the expansion and contraction capacity processing of the Pod cluster needs to meet the upper limit and the lower limit.
In this embodiment, by setting the step number, the expansion and contraction capacity processing of the Pod cluster can be made uniform and smooth, the change of the Pod copy number is not too severe, and the running stability of the Pod cluster is ensured.
In one embodiment, after performing the capacity expansion and contraction processing on the Pod cluster according to the capacity expansion and contraction target value in the step 103, the method specifically further includes the following steps:
step one, recording the number of Pod after the expansion and contraction processing of the Pod cluster, the number of Pod before the expansion and contraction processing, the expansion and contraction time, the expansion and contraction result and the identification of the Pod cluster;
step two, storing the Pod number after the Pod cluster expansion and contraction processing, the Pod number before the expansion and contraction processing, the expansion and contraction time, the expansion and contraction result and the Pod cluster identification into a database.
For example, the management object in the Pod cluster records the situation of the expansion and contraction process in the database after sensing the triggering expansion and contraction condition through the monitoring object and executing the expansion and contraction process through the Pod control object. The method comprises the steps of Pod number before and after Pod cluster processing, time of capacity expansion and contraction processing, capacity expansion and contraction processing results, pod cluster identification, container identification in Pod, triggered rule identification and the like. Meanwhile, after the capacity expansion and contraction processing is completed, the situation of the Pod clusters before and after the capacity expansion and contraction is immediately notified to the user, so that the user can manage the Pod clusters more timely; the notification means may be in the form of a mail.
In the embodiment, transparent query and review are provided for the user by recording and storing the expansion and contraction conditions of each time; and simultaneously, a notification can be sent to the user to remind the user of the Pod cluster condition.
In one embodiment, the target operation index information includes a resource usage rate of the Pod cluster, and the method further includes the steps of:
step one, acquiring duration time when the resource utilization rate reaches a utilization rate threshold value;
step two, when the duration accords with the time threshold, determining that the resource utilization rate of the Pod cluster accords with a target expansion and contraction condition corresponding to the resource utilization rate of the Pod cluster;
and thirdly, determining a capacity expansion target value corresponding to the target capacity expansion condition according to the target capacity expansion condition.
For example, when the resource usage in the Pod cluster continuously reaches the usage threshold, and after the duration exceeds the set time threshold, the usage threshold is still reached, a corresponding target expansion and contraction condition is determined, and an expansion and contraction target value is determined according to the target expansion and contraction condition. For example, the expansion and contraction volume ratio can be determined according to the ratio between the current resource utilization and the utilization threshold, and the expansion and contraction volume target value can be determined according to the expansion and contraction volume ratio and the current Pod number; the expansion and contraction target value can also be determined according to the expansion and contraction number set by the user and the current Pod number.
In this embodiment, by setting the duration threshold, the expansion and contraction processing on the Pod cluster is delayed, so as to improve the stability of the Pod cluster.
In one embodiment, the step 103 performs the capacity expansion and contraction processing on the Pod cluster according to the capacity expansion and contraction target value, which may also be implemented by the following steps:
step one, obtaining expansion and contraction tolerance control conditions aiming at a Pod cluster;
and secondly, under the condition that the expansion and contraction tolerance control condition is met, carrying out expansion and contraction tolerance processing on the Pod cluster according to the expansion and contraction tolerance target value.
Illustratively, the expansion and contraction tolerance conditions are preset by a user. Specifically, the method comprises expansion cooling, contraction cooling, expansion tolerance value, pod preparation time, pod initialization time and the like. The capacity expansion cooling limits the time interval of capacity expansion processing after capacity expansion processing; the capacity reduction cooling limits the time interval of capacity reduction processing after capacity expansion processing; when the expansion and contraction capacity proportion is lower than the expansion and contraction capacity tolerance value, the expansion and contraction capacity processing can not be executed; the Pod ready time specifies the time that the Pod is not considered ready after being generated; the Pod initialization time specifies the time when the operation index information is not adopted after the Pod is generated. The scaling tolerance conditions may be individually set for the entire Pod cluster or for a single depoyment (corresponding Pod set).
In this embodiment, by individually setting expansion and contraction tolerance conditions for a single depoyment, node management on the Pod cluster can be achieved, and more perfect and flexible expansion and contraction of the Pod cluster can be achieved.
In another embodiment, as shown in fig. 2, a Pod cluster expansion and contraction method is provided, which includes the following steps:
step 201, obtaining multiple operation index information in the Pod cluster and expansion and contraction conditions preset for each operation index information.
Step 202, determining the Pod number corresponding to any one of a plurality of preset times as a target value of expansion and contraction capacity when the current time is detected to reach any one of the preset times; wherein each predetermined time has a corresponding number of Pod.
Step 203, obtaining the number of times that the resource usage reaches the usage threshold in a preset monitoring period.
And 204, when the times of detection meet the times threshold, determining that the resource utilization rate of the Pod cluster meets the target expansion and contraction condition corresponding to the resource utilization rate of the Pod cluster.
Step 205, determining the type of the times that the resource usage rate of the Pod cluster reaches the usage rate threshold value under the condition that the resource usage rate of the Pod cluster is detected to be in accordance with the target capacity expansion and contraction condition corresponding to the resource usage rate of the Pod cluster.
In step 206, if the number of times that the resource usage rate of the Pod cluster reaches the usage rate threshold exceeds the first usage rate threshold, the first target Pod number is obtained as the expansion/contraction target value.
Step 207, if the number of times that the resource usage rate of the Pod cluster reaches the usage rate threshold is less than the number of times of the second usage rate threshold, obtaining the second target Pod number as the expansion capacity target value.
Step 208, determining the current Pod number of the Pod cluster; and according to the preset step number, the current Pod number of the Pod cluster is adjusted to the expansion and contraction target value.
Step 210, storing the Pod number after the Pod cluster expansion and contraction processing, the Pod number before the expansion and contraction processing, the expansion and contraction time, the expansion and contraction result and the Pod cluster identification into a database.
Illustratively, as shown in fig. 3, the Pod cluster implements the above Pod cluster expansion and contraction method, and the internal object structure of the cluster is shown in the figure. Wherein, the depoyment defines the configuration information of the Pod set and the Pod copy controller, and each depoyment is associated with the same set of expansion conditions and has a specific depoyment identifier. There may be multiple Pod sets in a Pod cluster, and correspondingly multiple depoyments. Meanwhile, one depoyment is processed by a single thread, and after the thread is allocated to a designated depoyment, whether the depoyment operates is detected, and in which cluster, only after the depoyment operates, the subsequent corresponding expansion processing is triggered. It should be noted that, the scheme does not need to expand above the HPA in the conventional method, and can be completely and independently operated.
In this embodiment, by setting multiple operation index information and setting different expansion and contraction conditions and processing modes for each operation index information, the problems that the regular expansion and contraction are not supported in the original HPA, sporadic periodic monitoring and expansion and contraction are not recorded and the like can be solved, so that the Pod cluster is portable, flexible, customized and the like.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a Pod cluster capacity expansion and contraction device for realizing the related Pod cluster capacity expansion and contraction method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the Pod cluster expansion and contraction device provided below may refer to the limitation of the Pod cluster expansion and contraction method described above, and will not be repeated here.
In one embodiment, as shown in fig. 4, there is provided a Pod cluster expansion and contraction device, including: an information acquisition module 401, a target value determination module 402, and a expansion and contraction module 403, wherein:
the information acquisition module 401 is configured to acquire multiple operation index information in the Pod cluster and expansion and contraction conditions preset for each operation index information;
the target value determining module 402 is configured to determine a capacity expansion target value corresponding to a target capacity expansion condition when it is detected that target operation index information in the multiple operation index information meets the target capacity expansion condition corresponding to the target operation index information; the target operation index information is any one of a plurality of operation index information;
And the expansion and contraction module 403 is configured to perform expansion and contraction processing on the Pod cluster according to the expansion and contraction target value.
In one embodiment, the target value determining module 402 is further configured to, when detecting that the current time reaches any one of the plurality of predetermined times, determine, as the expansion/contraction target value, a number of Pod corresponding to any one of the predetermined times; wherein each predetermined time has a corresponding number of Pod.
In one embodiment, the information obtaining module 401 is further configured to obtain, in a preset monitoring period, the number of times that the resource usage reaches the usage threshold; when the times of detection meet the times threshold, determining that the resource utilization rate of the Pod cluster meets the target expansion and contraction condition corresponding to the resource utilization rate of the Pod cluster.
In one embodiment, the target value determining module 402 is further configured to determine a type of a number of times that the resource usage of the Pod cluster reaches the usage threshold when it is detected that the resource usage of the Pod cluster meets a target expansion/contraction condition corresponding to the resource usage of the Pod cluster; and determining a target expansion and contraction volume value corresponding to the target expansion and contraction volume condition according to the type.
In one embodiment, the target value determining module 402 is further configured to obtain, as the expansion and contraction capacity target value, the first target Pod number if the number of times the resource usage of the Pod cluster reaches the usage threshold exceeds the first usage threshold; and if the frequency that the resource utilization rate of the Pod cluster reaches the utilization rate threshold value is less than the frequency of the second utilization rate threshold value, acquiring a second target Pod number as a capacity expansion target value.
In one embodiment, the foregoing capacity expansion module 403 is further configured to determine a current Pod number of the Pod cluster; and according to the preset step number, the current Pod number of the Pod cluster is adjusted to the expansion and contraction target value.
In one embodiment, the Pod cluster expansion and contraction device further includes an expansion and contraction volume recording module, configured to record the number of Pod after the Pod cluster expansion and contraction volume processing, the number of Pod before the expansion and contraction volume processing, the expansion and contraction volume time, the expansion and contraction volume result, and the id of the Pod cluster; and storing the Pod number after the Pod cluster expansion and contraction processing, the Pod number before the expansion and contraction processing, the expansion and contraction time, the expansion and contraction result and the Pod cluster identification into a database.
The modules in the Pod cluster expansion and contraction device can be realized by all or part of software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing the data of the expansion and contraction processing condition. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements a Pod cluster scaling method.
It will be appreciated by those skilled in the art that the structure shown in fig. 5 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
acquiring various operation index information in the Pod cluster and expanding and shrinking conditions preset for each operation index information;
under the condition that the target operation index information in the multiple operation index information is detected to be in accordance with the target expansion and contraction condition corresponding to the target operation index information, determining an expansion and contraction target value corresponding to the target expansion and contraction condition; the target operation index information is any one of a plurality of operation index information;
and carrying out expansion and contraction processing on the Pod cluster according to the expansion and contraction target value.
In one embodiment, the processor when executing the computer program further performs the steps of: when the current time is detected to reach any one of a plurality of preset times, determining the Pod number corresponding to any one of the preset times as a target value of expansion and contraction; wherein each predetermined time has a corresponding number of Pod.
In one embodiment, the processor when executing the computer program further performs the steps of: acquiring the times that the resource utilization rate reaches the utilization rate threshold value in a preset monitoring period; when the times of detection meet the times threshold, determining that the resource utilization rate of the Pod cluster meets the target expansion and contraction condition corresponding to the resource utilization rate of the Pod cluster.
In one embodiment, the processor when executing the computer program further performs the steps of: under the condition that the resource utilization rate of the Pod cluster is detected to be in accordance with the target expansion and contraction capacity condition corresponding to the resource utilization rate of the Pod cluster, determining the type of the times that the resource utilization rate of the Pod cluster reaches the utilization rate threshold; and determining a target expansion and contraction volume value corresponding to the target expansion and contraction volume condition according to the type.
In one embodiment, the processor when executing the computer program further performs the steps of: if the frequency that the resource utilization rate of the Pod cluster reaches the utilization rate threshold value is the frequency exceeding the first utilization rate threshold value, acquiring a first target Pod number as a expansion capacity target value; and if the frequency that the resource utilization rate of the Pod cluster reaches the utilization rate threshold value is less than the frequency of the second utilization rate threshold value, acquiring a second target Pod number as a capacity expansion target value.
In one embodiment, the processor when executing the computer program further performs the steps of: determining the current Pod number of the Pod cluster; and according to the preset step number, the current Pod number of the Pod cluster is adjusted to the expansion and contraction target value.
In one embodiment, the processor when executing the computer program further performs the steps of: recording the number of Pod after the expansion and contraction processing of the Pod cluster, the number of Pod before the expansion and contraction processing, the expansion and contraction time, the expansion and contraction result and the identification of the Pod cluster; and storing the Pod number after the Pod cluster expansion and contraction processing, the Pod number before the expansion and contraction processing, the expansion and contraction time, the expansion and contraction result and the Pod cluster identification into a database.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring various operation index information in the Pod cluster and expanding and shrinking conditions preset for each operation index information;
under the condition that the target operation index information in the multiple operation index information is detected to be in accordance with the target expansion and contraction condition corresponding to the target operation index information, determining an expansion and contraction target value corresponding to the target expansion and contraction condition; the target operation index information is any one of a plurality of operation index information;
And carrying out expansion and contraction processing on the Pod cluster according to the expansion and contraction target value.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the current time is detected to reach any one of a plurality of preset times, determining the Pod number corresponding to any one of the preset times as a target value of expansion and contraction; wherein each predetermined time has a corresponding number of Pod.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring the times that the resource utilization rate reaches the utilization rate threshold value in a preset monitoring period; when the times of detection meet the times threshold, determining that the resource utilization rate of the Pod cluster meets the target expansion and contraction condition corresponding to the resource utilization rate of the Pod cluster.
In one embodiment, the computer program when executed by the processor further performs the steps of: under the condition that the resource utilization rate of the Pod cluster is detected to be in accordance with the target expansion and contraction capacity condition corresponding to the resource utilization rate of the Pod cluster, determining the type of the times that the resource utilization rate of the Pod cluster reaches the utilization rate threshold; and determining a target expansion and contraction volume value corresponding to the target expansion and contraction volume condition according to the type.
In one embodiment, the computer program when executed by the processor further performs the steps of: if the frequency that the resource utilization rate of the Pod cluster reaches the utilization rate threshold value is the frequency exceeding the first utilization rate threshold value, acquiring a first target Pod number as a expansion capacity target value; and if the frequency that the resource utilization rate of the Pod cluster reaches the utilization rate threshold value is less than the frequency of the second utilization rate threshold value, acquiring a second target Pod number as a capacity expansion target value.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining the current Pod number of the Pod cluster; and according to the preset step number, the current Pod number of the Pod cluster is adjusted to the expansion and contraction target value.
In one embodiment, the computer program when executed by the processor further performs the steps of: recording the number of Pod after the expansion and contraction processing of the Pod cluster, the number of Pod before the expansion and contraction processing, the expansion and contraction time, the expansion and contraction result and the identification of the Pod cluster; and storing the Pod number after the Pod cluster expansion and contraction processing, the Pod number before the expansion and contraction processing, the expansion and contraction time, the expansion and contraction result and the Pod cluster identification into a database.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
Acquiring various operation index information in the Pod cluster and expanding and shrinking conditions preset for each operation index information;
under the condition that the target operation index information in the multiple operation index information is detected to be in accordance with the target expansion and contraction condition corresponding to the target operation index information, determining an expansion and contraction target value corresponding to the target expansion and contraction condition; the target operation index information is any one of a plurality of operation index information;
and carrying out expansion and contraction processing on the Pod cluster according to the expansion and contraction target value.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the current time is detected to reach any one of a plurality of preset times, determining the Pod number corresponding to any one of the preset times as a target value of expansion and contraction; wherein each predetermined time has a corresponding number of Pod.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring the times that the resource utilization rate reaches the utilization rate threshold value in a preset monitoring period; when the times of detection meet the times threshold, determining that the resource utilization rate of the Pod cluster meets the target expansion and contraction condition corresponding to the resource utilization rate of the Pod cluster.
In one embodiment, the computer program when executed by the processor further performs the steps of: under the condition that the resource utilization rate of the Pod cluster is detected to be in accordance with the target expansion and contraction capacity condition corresponding to the resource utilization rate of the Pod cluster, determining the type of the times that the resource utilization rate of the Pod cluster reaches the utilization rate threshold; and determining a target expansion and contraction volume value corresponding to the target expansion and contraction volume condition according to the type.
In one embodiment, the computer program when executed by the processor further performs the steps of: if the frequency that the resource utilization rate of the Pod cluster reaches the utilization rate threshold value is the frequency exceeding the first utilization rate threshold value, acquiring a first target Pod number as a expansion capacity target value; and if the frequency that the resource utilization rate of the Pod cluster reaches the utilization rate threshold value is less than the frequency of the second utilization rate threshold value, acquiring a second target Pod number as a capacity expansion target value.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining the current Pod number of the Pod cluster; and according to the preset step number, the current Pod number of the Pod cluster is adjusted to the expansion and contraction target value.
In one embodiment, the computer program when executed by the processor further performs the steps of: recording the number of Pod after the expansion and contraction processing of the Pod cluster, the number of Pod before the expansion and contraction processing, the expansion and contraction time, the expansion and contraction result and the identification of the Pod cluster; and storing the Pod number after the Pod cluster expansion and contraction processing, the Pod number before the expansion and contraction processing, the expansion and contraction time, the expansion and contraction result and the Pod cluster identification into a database.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to comply with the related laws and regulations and standards of the related countries and regions.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (11)
1. A Pod cluster expansion and contraction method, the method comprising:
acquiring various operation index information in the Pod cluster and expanding and shrinking conditions preset for each operation index information;
under the condition that the target operation index information in the multiple operation index information is detected to be in accordance with the target expansion and contraction volume condition corresponding to the target operation index information, determining an expansion and contraction volume target value corresponding to the target expansion and contraction volume condition; the target operation index information is any one of the plurality of operation index information;
And carrying out expansion and contraction processing on the Pod cluster according to the expansion and contraction target value.
2. The method according to claim 1, wherein the target operation index information includes a current time, and the determining, in a case where it is detected that the target operation index information in the plurality of operation index information meets a target expansion/contraction condition corresponding to the target operation index information, a expansion/contraction target value corresponding to the target expansion/contraction condition includes:
when the current time is detected to reach any one of a plurality of preset times, determining the Pod number corresponding to the any one preset time as the expansion and contraction target value;
wherein each predetermined time has a corresponding number of Pod.
3. The method of claim 1, wherein the target operation index information comprises a resource usage of the Pod cluster; the method further comprises the steps of:
acquiring the times that the resource utilization rate reaches a utilization rate threshold value in a preset monitoring period;
when the times meeting the times threshold is detected, determining that the resource utilization rate of the Pod cluster meets the target expansion and contraction condition corresponding to the resource utilization rate of the Pod cluster.
4. The method according to claim 3, wherein determining the target value of the expansion and contraction capacity corresponding to the target expansion and contraction capacity condition if it is detected that the target operation index information in the plurality of operation index information meets the target expansion and contraction capacity condition corresponding to the target operation index information, comprises:
under the condition that the resource utilization rate of the Pod cluster is detected to be in accordance with a target expansion and contraction condition corresponding to the resource utilization rate of the Pod cluster, determining the type of times that the resource utilization rate of the Pod cluster reaches the utilization rate threshold;
and determining a target expansion and contraction volume value corresponding to the target expansion and contraction volume condition according to the type.
5. The method of claim 4, wherein the usage threshold comprises a first usage threshold and a second usage threshold;
and determining a target expansion and contraction volume value corresponding to the target expansion and contraction volume condition according to the type, wherein the method comprises the following steps of:
if the frequency that the resource utilization rate of the Pod cluster reaches the utilization rate threshold value is the frequency exceeding the first utilization rate threshold value, acquiring a first target Pod number as the expansion and contraction target value;
and if the frequency that the resource utilization rate of the Pod cluster reaches the utilization rate threshold is less than the frequency of the second utilization rate threshold, acquiring a second target Pod number as the expansion and contraction target value.
6. The method of claim 1, wherein scaling the Pod cluster according to the scaling target value comprises:
determining a current Pod number of the Pod cluster;
and according to a preset step number, the current Pod number of the Pod cluster is adjusted to the expansion and contraction target value.
7. The method according to any one of claims 1 to 6, further comprising, after performing the scaling process on the Pod cluster according to the scaling target value:
recording the number of Pod after the expansion and contraction processing of the Pod cluster, the number of Pod before the expansion and contraction processing, the expansion and contraction time, the expansion and contraction result and the identification of the Pod cluster;
and storing the Pod number after the Pod cluster expansion and contraction processing, the Pod number before the expansion and contraction processing, the expansion and contraction time, the expansion and contraction result and the Pod cluster identification into a database.
8. A Pod cluster expansion and contraction device, the device comprising:
the information acquisition module is used for acquiring various operation index information in the Pod cluster and expansion and contraction capacity conditions preset for each operation index information;
the target value determining module is used for determining a capacity expansion target value corresponding to the target capacity expansion condition under the condition that the target operation index information in the multiple operation index information is detected to be in accordance with the target capacity expansion condition corresponding to the target operation index information; the target operation index information is any one of the plurality of operation index information;
And the expansion and contraction module is used for carrying out expansion and contraction processing on the Pod cluster according to the expansion and contraction target value.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
11. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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