CN111857864A - Method and device for flexibly configuring service grid plug-in quota adapting to domestic CPU - Google Patents
Method and device for flexibly configuring service grid plug-in quota adapting to domestic CPU Download PDFInfo
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Abstract
The invention provides a method and a device for flexibly configuring service grid plug-in quota adapting to a domestic CPU, wherein the method comprises the following steps: s1, setting a level configuration mode and a user-defined configuration mode for a service grid plug-in quota; s2, acquiring a localization CPU (Central processing Unit) architecture type based on the cloud data center platform, and selecting a corresponding configuration mode for the cloud data center platform according to the localization CPU architecture type to set a service grid plug-in quota; s3, configuring service management service grid plug-ins for the application of the cloud data center platform, respectively injecting an istio-proxy container into each component pod of the application, and selecting a corresponding configuration mode for each istio-proxy container to set a service grid plug-in quota; and S4, starting service management, and setting the service grid plug-in to perform flow management on the current application according to the set quota.
Description
Technical Field
The invention belongs to the technical field of server configuration, and particularly relates to a method and a device for flexibly configuring service grid plug-in quota adapting to a domestic CPU.
Background
Pod, which is equivalent to a Pod's API, may provide external interfaces for multiple pods.
In order to achieve better micro-service management, especially in the current trend that container cloud platforms are becoming more and more mainstream, the concept of service grid is getting more and more mature and goes into the line of sight of developers. In order to solve the three general defects of the traditional micro-service architecture (such as Spring Cloud and Dubbo): 1. the technical threshold is high 2. the multi-language support is insufficient 3. the code invasion is high, and a Service Mesh (Service Mesh) is generated at the discretion; the responsibility of the service grid is to handle inter-service communication, which is at the core of service administration. The implementation of the service grid is usually to provide an instance of a proxy, which we call "sidecar". The sidecar is included in each service. For each service instance, the service grid deploys a sidecar process on the same host in parallel, one to one, to take over all external network communications of the service instance, and any security part that can be abstracted from the service ontology. In this way, developers can focus on development, support, and maintenance in the service; the operation and maintenance personnel can maintain the service grid and run apps. Istio (backed by Google, IBM, Lyft corporation) is currently the most widely known service grid architecture. Kubernets (originally designed and sourced by Google) is a container organization framework with isotio support.
An entirely new deployment mode is used in Istio 1.5: and (istiod). This component is the core of the control plane and is responsible for handling various functions such as configuration, certificate distribution, sidecar injection, etc. The istiod is the largest change in a new version, and an original framework is replaced by a single component, so that the complexity and the maintenance difficulty are reduced, and the usability is improved. It should be noted that the original multiple components are not completely removed, but are integrated together in a modular fashion after reconstitution to form an istiod.
An Istio-proxy is the contiainer name that the Istio performs the service grid injection into the external service instance pod. Once the exposed application starts service management, an additional istio-proxy container is added in the pod for flow hijacking, and all external network communication of the service instance is taken over. But the introduction of this vessel is costly. Like other container groups, the idio-proxy also needs to occupy the quota of the container group, the usage amount of the quota can be changed according to the real service of the service, if the service amount is increased, the CPU and the memory resource occupied by the container are correspondingly increased, and different domestic CPU architectures are different, and the sensitivities to the container quota are different. However, in the current istio-proxy, an istiod directly injects the istio-proxy into a service instance starting service management according to a template of the istio-proxy, personalized configuration is not performed, and in order to meet different possible traffic demands, the cpu core number recommended by an official template is 2, the memory is 1G, and the quota is actually very large; a large quota can actually keep performance stable when the traffic is large, but if the traffic is not very large, the resource is wasted, and even the occupied resource affects the addition of other effective components of the same pod. Meanwhile, as is well known, different domestic CPU architectures have different respective performances, and different requirements on idio-proxy are met, and at present, no general method for realizing service grid quota is provided for different domestic CPUs.
Therefore, it is very necessary to provide a method and an apparatus for adapting a domestic CPU to flexibly configure a service grid plug-in quota, in order to overcome the above-mentioned drawbacks in the prior art.
Disclosure of Invention
Aiming at the defects that the prior art has different performances of different domestic CPU architectures, different requirements for idio-proxy and no universal method for realizing service grid quota for different domestic CPUs, the invention provides a method and a device for flexibly configuring service grid plug-in quota adapting to a domestic CPU, so as to solve the technical problems.
The invention provides a method for flexibly configuring service grid plug-in quota adapting to a domestic CPU, which comprises the following steps:
s1, setting a level configuration mode and a user-defined configuration mode for a service grid plug-in quota;
s2, acquiring a localization CPU (Central processing Unit) architecture type based on the cloud data center platform, and selecting a corresponding configuration mode for the cloud data center platform according to the localization CPU architecture type to set a service grid plug-in quota;
s3, configuring service management service grid plug-ins for the application of the cloud data center platform, respectively injecting an istio-proxy container into each component pod of the application, and selecting a corresponding configuration mode for each istio-proxy container to set a service grid plug-in quota;
And S4, starting service management, and setting the service grid plug-in to perform flow management on the current application according to the set quota.
Further, the level configuration mode is set to a primary mode, a secondary mode and a tertiary mode, and quota capacities of the three modes are sequentially decreased.
Further, the types of the domestic CPU architecture in step S2 include ARM, AMD, loongson, and feiteng models.
Further, in step S3, an upper limit and a lower limit of a quota of the user on the injected idio-proxy container are obtained according to the usage of the cloud data center platform application.
Further, the step S4 specifically includes the following steps:
s41, setting the service governance starting state of the application of the cloud data platform to be started;
s42, operating all container groups under the istio-proxy container and injecting a new plug-in;
and S43, starting service management, carrying out flow management and link tracking on the current application, and carrying out gray release on the components below the current application.
Further, in step S4, after the service management is started, the current application is set to restart, and the restart progress and the restart process state are monitored;
in step S4, the restart process state of the current application bottom layer is captured and reflected to the front-end user for monitoring;
The restart process state includes a service administration enabled state and each workload state of the current application.
Further, each workload state of the current application includes a pod initialization state, a build state, a run state, and an error state of the container group.
Further, the method also comprises the following steps:
and S5, when the parameters of the application of the cloud data center platform which enables the service governance are required to be modified, the service governance is forbidden, the injected istio-proxy container is deleted, and the service governance is enabled again.
In a second aspect, the present invention provides a device for adapting to a domestic CPU to flexibly configure a service grid plug-in quota, including:
the configuration mode setting module is used for setting a grade configuration mode and a user-defined configuration mode for the service grid plug-in quota;
the data center platform quota setting module is used for acquiring a localization CPU (Central processing Unit) architecture type based on the cloud data center platform and selecting a corresponding configuration mode for the cloud data center platform according to the localization CPU architecture type to set a service grid plug-in quota;
the application quota setting module is used for configuring service administration service grid plug-ins for the application of the cloud data center platform, injecting an idio-proxy container into each component pod of the application, and selecting a corresponding configuration mode for each idio-proxy container to set a service grid plug-in quota;
And the service administration starting module is used for starting service administration and setting the service grid plug-in to carry out flow management on the current application according to the set quota.
Further, the service governance enabling module comprises:
the starting state setting unit is used for setting the service governance starting state of the application of the cloud data platform to be started;
the new plug-in injection unit is used for operating all the container groups under the idio-proxy container and injecting a new plug-in;
and the service management starting unit is used for starting service management, carrying out flow management and link tracking on the current application, and carrying out gray release on the components below the current application.
The beneficial effect of the invention is that,
the method and the device for flexibly configuring the quota of the service grid plug-in adapted to the domestic CPU realize the management of the quota of the service grid tear-down when the service management is started when the cloud data center platform is deployed, select the quota parameter of the adaptive grade mode according to the selection of a user, realize the flexible configuration of the quota, improve the utilization rate of the quota and prevent the resource waste; the service management of the cloud data center platform application is started, the service grid is arranged in a disassembling and matching mode, and the user does not feel.
In addition, the invention has reliable design principle, simple structure and very wide application prospect.
Therefore, compared with the prior art, the invention has prominent substantive features and remarkable progress, and the beneficial effects of the implementation are also obvious.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a first schematic flow chart of the method of the present invention;
FIG. 2 is a second schematic flow chart of the method of the present invention;
FIG. 3 is a schematic view of the apparatus of the present invention;
wherein, 1-configuring a mode setting module; 2-a data center platform quota setting module; 3-an application quota setting module; 4-service governance starting module; 4.1-on state setting unit; 4.2-new plug-in injection unit; 4.3-service governance opening the unit.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, 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 invention.
Example 1:
as shown in fig. 1, the present invention provides a method for adapting a localization CPU to flexibly configure service grid plug-in quota, which comprises the following steps:
s1, setting a level configuration mode and a user-defined configuration mode for a service grid plug-in quota;
s2, acquiring a localization CPU (Central processing Unit) architecture type based on the cloud data center platform, and selecting a corresponding configuration mode for the cloud data center platform according to the localization CPU architecture type to set a service grid plug-in quota;
s3, configuring service management service grid plug-ins for the application of the cloud data center platform, respectively injecting an istio-proxy container into each component pod of the application, and selecting a corresponding configuration mode for each istio-proxy container to set a service grid plug-in quota;
and S4, starting service management, and setting the service grid plug-in to perform flow management on the current application according to the set quota.
Example 2:
as shown in fig. 2, the present invention provides a method for adapting a localization CPU to flexibly configure service grid plug-in quota, which comprises the following steps:
s1, setting a level configuration mode and a user-defined configuration mode for a service grid plug-in quota; the level configuration mode is set as a primary mode, a secondary mode and a tertiary mode, and quota capacities of the three modes are sequentially decreased;
S2, acquiring a localization CPU (Central processing Unit) architecture type based on the cloud data center platform, and selecting a corresponding configuration mode for the cloud data center platform according to the localization CPU architecture type to set a service grid plug-in quota; the type of the domestic CPU architecture comprises ARM, AMD, Loongson and Feiteng type domestic CPU architectures; acquiring an upper limit and a lower limit of a quota of an injected idio-proxy container by a user according to the use condition of the cloud data center platform application;
s3, configuring service management service grid plug-ins for the application of the cloud data center platform, respectively injecting an istio-proxy container into each component pod of the application, and selecting a corresponding configuration mode for each istio-proxy container to set a service grid plug-in quota; acquiring an upper limit and a lower limit of a quota of an injected idio-proxy container by a user according to the use condition of the cloud data center platform application;
s4, starting service management, and setting a service grid plug-in to perform flow management on the current application according to the set quota; the method comprises the following specific steps:
s41, setting the service governance starting state of the application of the cloud data platform to be started;
s42, operating all container groups under the istio-proxy container and injecting a new plug-in;
s43, starting service management, carrying out flow management and link tracking on the current application, and carrying out gray release on components below the current application;
When parameters of the application of the cloud data center platform with the service governance enabled are required to be modified, the service governance is forbidden, the injected idio-proxy container is deleted, and the service governance is enabled again.
In the above embodiment 2, in step S4, after the service management is started, the current application is set to restart, and the restart progress and the restart process state are monitored;
in step S4, the restart process state of the current application bottom layer is captured and reflected to the front-end user for monitoring;
the restarting process state comprises a service governance enabling state and each workload state of the current application;
each workload state of the current application includes a pod initialization state, a build state, a run state, and an error state for the group of containers.
Example 3:
as shown in fig. 3, the present invention provides a device for adapting a localization CPU to flexibly configure a service grid plug-in quota, which includes:
the configuration mode setting module 1 is used for setting a grade configuration mode and a user-defined configuration mode for a service grid plug-in quota;
the data center platform quota setting module 2 is used for acquiring a localization CPU (Central processing Unit) architecture type based on the cloud data center platform and selecting a corresponding configuration mode for the cloud data center platform according to the localization CPU architecture type to set a service grid plug-in quota;
The application quota setting module 3 is used for configuring service administration service grid plug-ins for the application of the cloud data center platform, injecting an idio-proxy container into each component pod of the application, and selecting a corresponding configuration mode for each idio-proxy container to set a service grid plug-in quota;
the service administration starting module 4 is used for starting service administration and setting a service grid plug-in to carry out flow management on the current application according to the set quota; the service administration enabling module 4 comprises:
the starting state setting unit 4.1 is used for setting the service governance starting state of the application of the cloud data platform to be started;
a new plug-in injection unit 4.2, configured to operate all container groups under the istio-proxy container, and inject a new plug-in;
and the service management starting unit 4.3 is used for starting service management, carrying out flow management and link tracking on the current application, and carrying out gray release on the components below the current application.
Although the present invention has been described in detail by referring to the drawings in connection with the preferred embodiments, the present invention is not limited thereto. Various equivalent modifications or substitutions can be made on the embodiments of the present invention by those skilled in the art without departing from the spirit and scope of the present invention, and these modifications or substitutions are within the scope of the present invention/any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method for adapting to a domestic CPU to flexibly configure service grid plug-in quota is characterized by comprising the following steps:
s1, setting a level configuration mode and a user-defined configuration mode for a service grid plug-in quota;
s2, acquiring a localization CPU (Central processing Unit) architecture type based on the cloud data center platform, and selecting a corresponding configuration mode for the cloud data center platform according to the localization CPU architecture type to set a service grid plug-in quota;
s3, configuring service management service grid plug-ins for the application of the cloud data center platform, respectively injecting an istio-proxy container into each component pod of the application, and selecting a corresponding configuration mode for each istio-proxy container to set a service grid plug-in quota;
and S4, starting service management, and setting the service grid plug-in to perform flow management on the current application according to the set quota.
2. The method for adapting the quota of a domestic CPU for flexibly configuring a service grid plug-in according to claim 1, wherein the level configuration mode is set to a primary mode, a secondary mode, and a tertiary mode, and quota capacities of the three modes are sequentially decreased.
3. The method for adapting flexible configuration of service grid plug-in quotas for a domestic CPU according to claim 1, wherein the domestic CPU architecture types of step S2 include ARM, AMD, Loongson, and Feiteng models.
4. The method for adapting a localization CPU to flexibly configure service grid plug-in quota according to claim 1, wherein in step S3, an upper limit and a lower limit of a quota of an injected idio-proxy container by a user are obtained according to a usage of a cloud data center platform application.
5. The method for adapting flexible configuration of service grid plug-in quotas by a localization CPU according to claim 1, wherein the step S4 comprises the following steps:
s41, setting the service governance starting state of the application of the cloud data platform to be started;
s42, operating all container groups under the istio-proxy container and injecting a new plug-in;
and S43, starting service management, carrying out flow management and link tracking on the current application, and carrying out gray release on the components below the current application.
6. The method for adapting flexible configuration of service grid plug-in quota for a localization CPU as claimed in claim 1, wherein in step S4, after the service administration is enabled, the current application is set for restart, and the restart progress and the restart process status are monitored;
in step S4, the restart process state of the current application bottom layer is captured and reflected to the front-end user for monitoring;
the restart process state includes a service administration enabled state and each workload state of the current application.
7. The method for adapting flexible configuration of service grid plug-in quotas for a domestic CPU according to claim 6, wherein each workload state of a current application comprises a pod initialization state, a build state, a run state, and an error state for a container group.
8. The method for adapting flexible configuration of service grid plug-in quotas for a domestic CPU according to claim 1, further comprising the steps of:
and S5, when the parameters of the application of the cloud data center platform which enables the service governance are required to be modified, the service governance is forbidden, the injected istio-proxy container is deleted, and the service governance is enabled again.
9. An apparatus for adapting a domestic CPU to flexibly configure service grid plug-in quota, comprising:
the configuration mode setting module (1) is used for setting a grade configuration mode and a user-defined configuration mode for a service grid plug-in quota;
the data center platform quota setting module (2) is used for acquiring a localization CPU (Central processing Unit) architecture type based on the cloud data center platform and selecting a corresponding configuration mode for the cloud data center platform according to the localization CPU architecture type to set a service grid plug-in quota;
the application quota setting module (3) is used for configuring service administration service grid plug-ins for the application of the cloud data center platform, injecting an idio-proxy container into each component pod of the application, and selecting a corresponding configuration mode for each idio-proxy container to set a service grid plug-in quota;
And the service administration starting module (4) is used for starting service administration and setting the service grid plug-in to carry out flow management on the current application according to the set quota.
10. The adapted localized CPU flexible configuration service grid plug-in quota device of claim 9, wherein the service administration enablement module (4) comprises:
the starting state setting unit (4.1) is used for setting the service governance starting state of the application of the cloud data platform to be started;
a new plug-in injection unit (4.2) for operating all the container groups under the istio-proxy container and injecting new plug-ins;
and the service governance starting unit (4.3) is used for starting service governance, carrying out flow governance and link tracking on the current application, and carrying out gray release on components below the current application.
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| CN113542437A (en) * | 2021-09-16 | 2021-10-22 | 阿里云计算有限公司 | Network system, network proxy method and device |
| CN113726859A (en) * | 2021-08-13 | 2021-11-30 | 浪潮电子信息产业股份有限公司 | Method, device, equipment and storage medium for redirecting istio traffic |
| CN113726859B (en) * | 2021-08-13 | 2024-05-31 | 广东浪潮智慧计算技术有限公司 | Istio traffic redirection method, istio traffic redirection device, istio traffic redirection equipment and storage medium |
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| CN113542437A (en) * | 2021-09-16 | 2021-10-22 | 阿里云计算有限公司 | Network system, network proxy method and device |
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